Merge pull request #7029 from freqtrade/new_release

New release 2022.6

.github/workflows/ci.yml

@@ -13,6 +13,10 @@ on:
   schedule:
     - cron:  '0 5 * * 4'
 
+concurrency:
+  group: ${{ github.workflow }}-${{ github.ref }}
+  cancel-in-progress: true
+
 jobs:
   build_linux:
 
@@ -26,7 +30,7 @@ jobs:
     - uses: actions/checkout@v3
 
     - name: Set up Python
-      uses: actions/setup-python@v3
+      uses: actions/setup-python@v4
       with:
         python-version: ${{ matrix.python-version }}
 
@@ -62,12 +66,12 @@ jobs:
     - name: Tests
       run: |
         pytest --random-order --cov=freqtrade --cov-config=.coveragerc
-      if: matrix.python-version != '3.9'
+      if: matrix.python-version != '3.9' || matrix.os != 'ubuntu-22.04'
 
     - name: Tests incl. ccxt compatibility tests
       run: |
         pytest --random-order --cov=freqtrade --cov-config=.coveragerc --longrun
-      if: matrix.python-version == '3.9'
+      if: matrix.python-version == '3.9' && matrix.os == 'ubuntu-22.04'
 
     - name: Coveralls
       if: (runner.os == 'Linux' && matrix.python-version == '3.9')
@@ -123,7 +127,7 @@ jobs:
     - uses: actions/checkout@v3
 
     - name: Set up Python
-      uses: actions/setup-python@v3
+      uses: actions/setup-python@v4
       with:
         python-version: ${{ matrix.python-version }}
 
@@ -207,7 +211,7 @@ jobs:
     - uses: actions/checkout@v3
 
     - name: Set up Python
-      uses: actions/setup-python@v3
+      uses: actions/setup-python@v4
       with:
         python-version: ${{ matrix.python-version }}
 
@@ -259,7 +263,7 @@ jobs:
     - uses: actions/checkout@v3
 
     - name: Set up Python
-      uses: actions/setup-python@v3
+      uses: actions/setup-python@v4
       with:
         python-version: "3.10"
 
@@ -278,7 +282,7 @@ jobs:
         ./tests/test_docs.sh
 
     - name: Set up Python
-      uses: actions/setup-python@v3
+      uses: actions/setup-python@v4
       with:
         python-version: "3.10"
 
@@ -296,18 +300,6 @@ jobs:
           details: Freqtrade doc test failed!
           webhookUrl: ${{ secrets.DISCORD_WEBHOOK }}
 
-  cleanup-prior-runs:
-    permissions:
-      actions: write  # for rokroskar/workflow-run-cleanup-action to obtain workflow name & cancel it
-      contents: read  # for rokroskar/workflow-run-cleanup-action to obtain branch
-    runs-on: ubuntu-20.04
-    steps:
-    - name: Cleanup previous runs on this branch
-      uses: rokroskar/workflow-run-cleanup-action@v0.3.3
-      if: "!startsWith(github.ref, 'refs/tags/') && github.ref != 'refs/heads/stable' && github.repository == 'freqtrade/freqtrade'"
-      env:
-        GITHUB_TOKEN: "${{ secrets.GITHUB_TOKEN }}"
-
   # Notify only once - when CI completes (and after deploy) in case it's successfull
   notify-complete:
     needs: [ build_linux, build_macos, build_windows, docs_check, mypy_version_check ]
@@ -344,7 +336,7 @@ jobs:
     - uses: actions/checkout@v3
 
     - name: Set up Python
-      uses: actions/setup-python@v3
+      uses: actions/setup-python@v4
       with:
         python-version: "3.9"
 

.pre-commit-config.yaml

@@ -13,11 +13,11 @@ repos:
       - id: mypy
         exclude: build_helpers
         additional_dependencies:
-          - types-cachetools==5.0.1
+          - types-cachetools==5.2.1
-          - types-filelock==3.2.6
+          - types-filelock==3.2.7
-          - types-requests==2.27.29
+          - types-requests==2.28.0
-          - types-tabulate==0.8.9
+          - types-tabulate==0.8.11
-          - types-python-dateutil==2.8.17
+          - types-python-dateutil==2.8.18
         # stages: [push]
 
   - repo: https://github.com/pycqa/isort

Dockerfile

@@ -1,4 +1,4 @@
-FROM python:3.10.4-slim-bullseye as base
+FROM python:3.10.5-slim-bullseye as base
 
 # Setup env
 ENV LANG C.UTF-8

docker/Dockerfile.custom

@@ -7,4 +7,5 @@ FROM freqtradeorg/freqtrade:develop
 # The below dependency - pyti - serves as an example. Please use whatever you need!
 RUN pip install --user pyti
 
+# Switch back to user (only if you required root above)
 # USER ftuser

docs/advanced-backtesting.md

@@ -22,50 +22,79 @@ DataFrame of the candles that resulted in buy signals. Depending on how many buy
 makes, this file may get quite large, so periodically check your `user_data/backtest_results`
 folder to delete old exports.
 
-To analyze the buy tags, we need to use the `buy_reasons.py` script from
-[froggleston's repo](https://github.com/froggleston/freqtrade-buyreasons). Follow the instructions
-in their README to copy the script into your `freqtrade/scripts/` folder.
-
 Before running your next backtest, make sure you either delete your old backtest results or run
 backtesting with the `--cache none` option to make sure no cached results are used.
 
 If all goes well, you should now see a `backtest-result-{timestamp}_signals.pkl` file in the
 `user_data/backtest_results` folder.
 
-Now run the `buy_reasons.py` script, supplying a few options:
+To analyze the entry/exit tags, we now need to use the `freqtrade backtesting-analysis` command
+with `--analysis-groups` option provided with space-separated arguments (default `0 1 2`):
 
 ``` bash
-python3 scripts/buy_reasons.py -c <config.json> -s <strategy_name> -t <timerange> -g0,1,2,3,4
+freqtrade backtesting-analysis -c <config.json> --analysis-groups 0 1 2 3 4
 ```
 
-The `-g` option is used to specify the various tabular outputs, ranging from the simplest (0)
+This command will read from the last backtesting results. The `--analysis-groups` option is
-to the most detailed per pair, per buy and per sell tag (4). More options are available by
+used to specify the various tabular outputs showing the profit fo each group or trade,
-running with the `-h` option.
+ranging from the simplest (0) to the most detailed per pair, per buy and per sell tag (4):
+
+* 1: profit summaries grouped by enter_tag
+* 2: profit summaries grouped by enter_tag and exit_tag
+* 3: profit summaries grouped by pair and enter_tag
+* 4: profit summaries grouped by pair, enter_ and exit_tag (this can get quite large)
+
+More options are available by running with the `-h` option.
+
+### Using export-filename
+
+Normally, `backtesting-analysis` uses the latest backtest results, but if you wanted to go
+back to a previous backtest output, you need to supply the `--export-filename` option.
+You can supply the same parameter to `backtest-analysis` with the name of the final backtest
+output file. This allows you to keep historical versions of backtest results and re-analyse
+them at a later date:
+
+``` bash
+freqtrade backtesting -c <config.json> --timeframe <tf> --strategy <strategy_name> --timerange=<timerange> --export=signals --export-filename=/tmp/mystrat_backtest.json
+```
+
+You should see some output similar to below in the logs with the name of the timestamped
+filename that was exported:
+
+```
+2022-06-14 16:28:32,698 - freqtrade.misc - INFO - dumping json to "/tmp/mystrat_backtest-2022-06-14_16-28-32.json"
+```
+
+You can then use that filename in `backtesting-analysis`:
+
+```
+freqtrade backtesting-analysis -c <config.json> --export-filename=/tmp/mystrat_backtest-2022-06-14_16-28-32.json
+```
 
 ### Tuning the buy tags and sell tags to display
 
 To show only certain buy and sell tags in the displayed output, use the following two options:
 
 ```
---enter_reason_list : Comma separated list of enter signals to analyse. Default: "all"
+--enter-reason-list : Space-separated list of enter signals to analyse. Default: "all"
---exit_reason_list : Comma separated list of exit signals to analyse. Default: "stop_loss,trailing_stop_loss"
+--exit-reason-list : Space-separated list of exit signals to analyse. Default: "all"
 ```
 
 For example:
 
 ```bash
-python3 scripts/buy_reasons.py -c <config.json> -s <strategy_name> -t <timerange> -g0,1,2,3,4 --enter_reason_list "enter_tag_a,enter_tag_b" --exit_reason_list "roi,custom_exit_tag_a,stop_loss"
+freqtrade backtesting-analysis -c <config.json> --analysis-groups 0 2 --enter-reason-list enter_tag_a enter_tag_b --exit-reason-list roi custom_exit_tag_a stop_loss
 ```
 
 ### Outputting signal candle indicators
 
-The real power of the buy_reasons.py script comes from the ability to print out the indicator
+The real power of `freqtrade backtesting-analysis` comes from the ability to print out the indicator
 values present on signal candles to allow fine-grained investigation and tuning of buy signal
 indicators. To print out a column for a given set of indicators, use the `--indicator-list`
 option:
 
 ```bash
-python3 scripts/buy_reasons.py -c <config.json> -s <strategy_name> -t <timerange> -g0,1,2,3,4 --enter_reason_list "enter_tag_a,enter_tag_b" --exit_reason_list "roi,custom_exit_tag_a,stop_loss" --indicator_list "rsi,rsi_1h,bb_lowerband,ema_9,macd,macdsignal"
+freqtrade backtesting-analysis -c <config.json> --analysis-groups 0 2 --enter-reason-list enter_tag_a enter_tag_b --exit-reason-list roi custom_exit_tag_a stop_loss --indicator-list rsi rsi_1h bb_lowerband ema_9 macd macdsignal
 ```
 
 The indicators have to be present in your strategy's main DataFrame (either for your main

docs/backtesting.md

@@ -300,6 +300,7 @@ A backtesting result will look like that:
 | Absolute profit             | 0.00762792 BTC      |
 | Total profit %              | 76.2%               |
 | CAGR %                      | 460.87%             |
+| Profit factor               | 1.11                |
 | Avg. stake amount           | 0.001      BTC      |
 | Total trade volume          | 0.429      BTC      |
 |                             |                     |
@@ -399,6 +400,7 @@ It contains some useful key metrics about performance of your strategy on backte
 | Absolute profit             | 0.00762792 BTC      |
 | Total profit %              | 76.2%               |
 | CAGR %                      | 460.87%             |
+| Profit factor               | 1.11                |
 | Avg. stake amount           | 0.001      BTC      |
 | Total trade volume          | 0.429      BTC      |
 |                             |                     |
@@ -444,6 +446,8 @@ It contains some useful key metrics about performance of your strategy on backte
 - `Final balance`: Final balance - starting balance + absolute profit.
 - `Absolute profit`: Profit made in stake currency.
 - `Total profit %`: Total profit. Aligned to the `TOTAL` row's `Tot Profit %` from the first table. Calculated as `(End capital − Starting capital) / Starting capital`.
+- `CAGR %`: Compound annual growth rate.
+- `Profit factor`: profit / loss.
 - `Avg. stake amount`: Average stake amount, either `stake_amount` or the average when using dynamic stake amount.
 - `Total trade volume`: Volume generated on the exchange to reach the above profit.
 - `Best Pair` / `Worst Pair`: Best and worst performing pair, and it's corresponding `Cum Profit %`.

docs/bot-basics.md

@@ -20,7 +20,9 @@ All profit calculations of Freqtrade include fees. For Backtesting / Hyperopt /
 ## Bot execution logic
 
 Starting freqtrade in dry-run or live mode (using `freqtrade trade`) will start the bot and start the bot iteration loop.
-By default, loop runs every few seconds (`internals.process_throttle_secs`) and does roughly the following in the following sequence:
+This will also run the `bot_start()` callback.
+
+By default, the bot loop runs every few seconds (`internals.process_throttle_secs`) and performs the following actions:
 
 * Fetch open trades from persistence.
 * Calculate current list of tradable pairs.
@@ -54,6 +56,7 @@ This loop will be repeated again and again until the bot is stopped.
 [backtesting](backtesting.md) or [hyperopt](hyperopt.md) do only part of the above logic, since most of the trading operations are fully simulated.
 
 * Load historic data for configured pairlist.
+* Calls `bot_start()` once.
 * Calls `bot_loop_start()` once.
 * Calculate indicators (calls `populate_indicators()` once per pair).
 * Calculate entry / exit signals (calls `populate_entry_trend()` and `populate_exit_trend()` once per pair).

docs/leverage.md

@@ -64,7 +64,10 @@ You will also have to pick a "margin mode" (explanation below) - with freqtrade
 
 ### Margin mode
 
-The possible values are: `isolated`, or `cross`(*currently unavailable*)
+On top of `trading_mode` - you will also have to configure your `margin_mode`.
+While freqtrade currently only supports one margin mode, this will change, and by configuring it now you're all set for future updates.
+
+The possible values are: `isolated`, or `cross`(*currently unavailable*).
 
 #### Isolated margin mode
 
@@ -82,6 +85,16 @@ One account is used to share collateral between markets (trading pairs). Margin
 "margin_mode": "cross"
 ```
 
+## Set leverage to use
+
+Different strategies and risk profiles will require different levels of leverage.
+While you could configure one static leverage value - freqtrade offers you the flexibility to adjust this via [strategy leverage callback](strategy-callbacks.md#leverage-callback) - which allows you to use different leverages by pair, or based on some other factor benefitting your strategy result.
+
+If not implemented, leverage defaults to 1x (no leverage).
+
+!!! Warning
+    Higher leverage also equals higher risk - be sure you fully understand the implications of using leverage!
+
 ## Understand `liquidation_buffer`
 
 *Defaults to `0.05`*

docs/requirements-docs.txt

@@ -1,5 +1,5 @@
 mkdocs==1.3.0
-mkdocs-material==8.2.16
+mkdocs-material==8.3.8
 mdx_truly_sane_lists==1.2
-pymdown-extensions==9.4
+pymdown-extensions==9.5
 jinja2==3.1.2

docs/sql_cheatsheet.md

@@ -89,11 +89,12 @@ WHERE id=31;
 
 If you'd still like to remove a trade from the database directly, you can use the below query.
 
-```sql
+!!! Danger
-DELETE FROM trades WHERE id = <tradeid>;
+    Some systems (Ubuntu) disable foreign keys in their sqlite3 packaging. When using sqlite - please ensure that foreign keys are on by running `PRAGMA foreign_keys = ON` before the above query.
-```
 
 ```sql
+DELETE FROM trades WHERE id = <tradeid>;
+
 DELETE FROM trades WHERE id = 31;
 ```
 
@@ -102,13 +103,20 @@ DELETE FROM trades WHERE id = 31;
 
 ## Use a different database system
 
+Freqtrade is using SQLAlchemy, which supports multiple different database systems. As such, a multitude of database systems should be supported.
+Freqtrade does not depend or install any additional database driver. Please refer to the [SQLAlchemy docs](https://docs.sqlalchemy.org/en/14/core/engines.html#database-urls) on installation instructions for the respective database systems.
+
+The following systems have been tested and are known to work with freqtrade:
+
+* sqlite (default)
+* PostgreSQL)
+* MariaDB
+
 !!! Warning
-    By using one of the below database systems, you acknowledge that you know how to manage such a system. Freqtrade will not provide any support with setup or maintenance (or backups) of the below database systems.
+    By using one of the below database systems, you acknowledge that you know how to manage such a system. The freqtrade team will not provide any support with setup or maintenance (or backups) of the below database systems.
 
 ### PostgreSQL
 
-Freqtrade supports PostgreSQL by using SQLAlchemy, which supports multiple different database systems.
-
 Installation:
 `pip install psycopg2-binary`
 

docs/stoploss.md

@@ -130,7 +130,7 @@ In summary: The stoploss will be adjusted to be always be -10% of the highest ob
 
 ### Trailing stop loss, custom positive loss
 
-It is also possible to have a default stop loss, when you are in the red with your buy (buy - fee), but once you hit positive result the system will utilize a new stop loss, which can have a different value.
+You could also have a default stop loss when you are in the red with your buy (buy - fee), but once you hit a positive result (or an offset you define) the system will utilize a new stop loss, which can have a different value.
 For example, your default stop loss is -10%, but once you have more than 0% profit (example 0.1%) a different trailing stoploss will be used.
 
 !!! Note
@@ -142,6 +142,8 @@ Both values require `trailing_stop` to be set to true and `trailing_stop_positiv
     stoploss = -0.10
     trailing_stop = True
     trailing_stop_positive = 0.02
+    trailing_stop_positive_offset = 0.0
+    trailing_only_offset_is_reached = False  # Default - not necessary for this example
 ```
 
 For example, simplified math:
@@ -156,11 +158,31 @@ For example, simplified math:
 The 0.02 would translate to a -2% stop loss.
 Before this, `stoploss` is used for the trailing stoploss.
 
+!!! Tip "Use an offset to change your stoploss"
+    Use `trailing_stop_positive_offset` to ensure that your new trailing stoploss will be in profit by setting `trailing_stop_positive_offset` higher than `trailing_stop_positive`. Your first new stoploss value will then already have locked in profits.
+
+    Example with simplified math:
+
+    ``` python
+        stoploss = -0.10
+        trailing_stop = True
+        trailing_stop_positive = 0.02
+        trailing_stop_positive_offset = 0.03
+    ```
+
+    * the bot buys an asset at a price of 100$
+    * the stop loss is defined at -10%, so the stop loss would get triggered once the asset drops below 90$
+    * assuming the asset now increases to 102$
+    * the stoploss will now be at 91.8$ - 10% below the highest observed rate
+    * assuming the asset now increases to 103.5$ (above the offset configured)
+    * the stop loss will now be -2% of 103$ = 101.42$
+    * now the asset drops in value to 102\$, the stop loss will still be 101.42$ and would trigger once price breaks below 101.42$
+
 ### Trailing stop loss only once the trade has reached a certain offset
 
-It is also possible to use a static stoploss until the offset is reached, and then trail the trade to take profits once the market turns.
+You can also keep a static stoploss until the offset is reached, and then trail the trade to take profits once the market turns.
 
-If `"trailing_only_offset_is_reached": true` then the trailing stoploss is only activated once the offset is reached. Until then, the stoploss remains at the configured `stoploss`.
+If `trailing_only_offset_is_reached = True` then the trailing stoploss is only activated once the offset is reached. Until then, the stoploss remains at the configured `stoploss`.
 This option can be used with or without `trailing_stop_positive`, but uses `trailing_stop_positive_offset` as offset.
 
 ``` python
@@ -191,6 +213,18 @@ For example, simplified math:
 !!! Tip
     Make sure to have this value (`trailing_stop_positive_offset`) lower than minimal ROI, otherwise minimal ROI will apply first and sell the trade.
 
+## Stoploss and Leverage
+
+Stoploss should be thought of as "risk on this trade" - so a stoploss of 10% on a 100$ trade means you are willing to lose 10$ (10%) on this trade - which would trigger if the price moves 10% to the downside.
+
+When using leverage, the same principle is applied - with stoploss defining the risk on the trade (the amount you are willing to lose).
+
+Therefore, a stoploss of 10% on a 10x trade would trigger on a 1% price move.
+If your stake amount (own capital) was 100$ - this trade would be 1000$ at 10x (after leverage).
+If price moves 1% - you've lost 10$ of your own capital - therfore stoploss will trigger in this case.
+
+Make sure to be aware of this, and avoid using too tight stoploss (at 10x leverage, 10% risk may be too little to allow the trade to "breath" a little).
+
 ## Changing stoploss on open trades
 
 A stoploss on an open trade can be changed by changing the value in the configuration or strategy and use the `/reload_config` command (alternatively, completely stopping and restarting the bot also works).

docs/strategy-callbacks.md

@@ -551,6 +551,7 @@ class AwesomeStrategy(IStrategy):
         :param order_type: Order type (as configured in order_types). usually limit or market.
         :param amount: Amount in target (base) currency that's going to be traded.
         :param rate: Rate that's going to be used when using limit orders 
+                     or current rate for market orders.
         :param time_in_force: Time in force. Defaults to GTC (Good-til-cancelled).
         :param current_time: datetime object, containing the current datetime
         :param entry_tag: Optional entry_tag (buy_tag) if provided with the buy signal.
@@ -600,6 +601,7 @@ class AwesomeStrategy(IStrategy):
         :param order_type: Order type (as configured in order_types). usually limit or market.
         :param amount: Amount in base currency.
         :param rate: Rate that's going to be used when using limit orders
+                     or current rate for market orders.
         :param time_in_force: Time in force. Defaults to GTC (Good-til-cancelled).
         :param exit_reason: Exit reason.
             Can be any of ['roi', 'stop_loss', 'stoploss_on_exchange', 'trailing_stop_loss',
@@ -804,19 +806,23 @@ For markets / exchanges that don't support leverage, this method is ignored.
 
 ``` python
 class AwesomeStrategy(IStrategy):
-    def leverage(self, pair: str, current_time: 'datetime', current_rate: float,
+    def leverage(self, pair: str, current_time: datetime, current_rate: float,
-                 proposed_leverage: float, max_leverage: float, side: str,
+                 proposed_leverage: float, max_leverage: float, entry_tag: Optional[str], side: str,
                  **kwargs) -> float:
         """
-        Customize leverage for each new trade.
+        Customize leverage for each new trade. This method is only called in futures mode.
 
         :param pair: Pair that's currently analyzed
         :param current_time: datetime object, containing the current datetime
         :param current_rate: Rate, calculated based on pricing settings in exit_pricing.
         :param proposed_leverage: A leverage proposed by the bot.
         :param max_leverage: Max leverage allowed on this pair
+        :param entry_tag: Optional entry_tag (buy_tag) if provided with the buy signal.
         :param side: 'long' or 'short' - indicating the direction of the proposed trade
         :return: A leverage amount, which is between 1.0 and max_leverage.
         """
         return 1.0
 ```
+
+All profit calculations include leverage. Stoploss / ROI also include leverage in their calculation.
+Defining a stoploss of 10% at 10x leverage would trigger the stoploss with a 1% move to the downside.

docs/telegram-usage.md

@@ -171,8 +171,8 @@ official commands. You can ask at any moment for help with `/help`.
 | `/locks` | Show currently locked pairs.
 | `/unlock <pair or lock_id>` | Remove the lock for this pair (or for this lock id).
 | `/profit [<n>]` | Display a summary of your profit/loss from close trades and some stats about your performance, over the last n days (all trades by default)
-| `/forceexit <trade_id>` | Instantly exits the given trade  (Ignoring `minimum_roi`).
+| `/forceexit <trade_id> | /fx <tradeid>` | Instantly exits the given trade  (Ignoring `minimum_roi`).
-| `/forceexit all` | Instantly exits all open trades (Ignoring `minimum_roi`).
+| `/forceexit all | /fx all` | Instantly exits all open trades (Ignoring `minimum_roi`).
 | `/fx` | alias for `/forceexit`
 | `/forcelong <pair> [rate]` | Instantly buys the given pair. Rate is optional and only applies to limit orders. (`force_entry_enable` must be set to True)
 | `/forceshort <pair> [rate]` | Instantly shorts the given pair. Rate is optional and only applies to limit orders. This will only work on non-spot markets. (`force_entry_enable` must be set to True)
@@ -270,10 +270,15 @@ Return a summary of your profit/loss and performance.
 > **Latest Trade opened:** `2 minutes ago`  
 > **Avg. Duration:** `2:33:45`  
 > **Best Performing:** `PAY/BTC: 50.23%`  
+> **Trading volume:** `0.5 BTC`  
+> **Profit factor:** `1.04`  
+> **Max Drawdown:** `9.23% (0.01255 BTC)`  
 
 The relative profit of `1.2%` is the average profit per trade.  
 The relative profit of `15.2 Σ%` is be based on the starting capital - so in this case, the starting capital was `0.00485701 * 1.152 = 0.00738 BTC`.  
 Starting capital is either taken from the `available_capital` setting, or calculated by using current wallet size - profits.  
+Profit Factor is calculated as gross profits / gross losses - and should serve as an overall metric for the strategy.  
+Max drawdown corresponds to the backtesting metric `Absolute Drawdown (Account)` - calculated as `(Absolute Drawdown) / (DrawdownHigh + startingBalance)`.
 
 ### /forceexit <trade_id>
 
@@ -281,6 +286,7 @@ Starting capital is either taken from the `available_capital` setting, or calcul
 
 !!! Tip
     You can get a list of all open trades by calling `/forceexit` without parameter, which will show a list of buttons to simply exit a trade.
+    This command has an alias in `/fx` - which has the same capabilities, but is faster to type in "emergency" situations.
 
 ### /forcelong <pair> [rate] | /forceshort <pair> [rate]
 
@@ -328,11 +334,11 @@ Per default `/daily` will return the 7 last days. The example below if for `/dai
 
 > **Daily Profit over the last 3 days:**
 ```
-Day         Profit BTC      Profit USD
+Day (count)     USDT          USD         Profit %
-----------  --------------  ------------
+--------------  ------------  ----------  ----------
-2018-01-03  0.00224175 BTC  29,142 USD
+2022-06-11 (1)  -0.746 USDT   -0.75 USD   -0.08%
-2018-01-02  0.00033131 BTC   4,307 USD
+2022-06-10 (0)  0 USDT        0.00 USD    0.00%
-2018-01-01  0.00269130 BTC  34.986 USD
+2022-06-09 (5)  20 USDT       20.10 USD   5.00%
 ```
 
 ### /weekly <n>
@@ -342,11 +348,11 @@ from Monday. The example below if for `/weekly 3`:
 
 > **Weekly Profit over the last 3 weeks (starting from Monday):**
 ```
-Monday         Profit BTC      Profit USD
+Monday (count)  Profit BTC      Profit USD   Profit %
-----------  --------------  ------------
+-------------  --------------  ------------    ----------
-2018-01-03  0.00224175 BTC  29,142 USD
+2018-01-03 (5)  0.00224175 BTC  29,142 USD   4.98%
-2017-12-27  0.00033131 BTC   4,307 USD
+2017-12-27 (1)  0.00033131 BTC   4,307 USD   0.00%
-2017-12-20  0.00269130 BTC  34.986 USD
+2017-12-20 (4)  0.00269130 BTC  34.986 USD   5.12%
 ```
 
 ### /monthly <n>
@@ -356,11 +362,11 @@ if for `/monthly 3`:
 
 > **Monthly Profit over the last 3 months:**
 ```
-Month         Profit BTC      Profit USD
+Month (count)  Profit BTC      Profit USD    Profit %
-----------  --------------  ------------
+-------------  --------------  ------------    ----------
-2018-01     0.00224175 BTC  29,142 USD
+2018-01 (20)    0.00224175 BTC  29,142 USD  4.98%
-2017-12     0.00033131 BTC   4,307 USD
+2017-12 (5)    0.00033131 BTC   4,307 USD   0.00%
-2017-11     0.00269130 BTC  34.986 USD
+2017-11 (10)    0.00269130 BTC  34.986 USD  5.10%
 ```
 
 ### /whitelist

docs/updating.md

@@ -32,4 +32,8 @@ Please ensure that you're also updating dependencies - otherwise things might br
 ``` bash
 git pull
 pip install -U -r requirements.txt
+pip install -e .
+
+# Ensure freqUI is at the latest version
+freqtrade install-ui 
 ```

docs/utils.md

@@ -651,6 +651,61 @@ Common arguments:
 
 ```
 
+## Detailed backtest analysis
+
+Advanced backtest result analysis.
+
+More details in the [Backtesting analysis](advanced-backtesting.md#analyze-the-buyentry-and-sellexit-tags) Section.
+
+```
+usage: freqtrade backtesting-analysis [-h] [-v] [--logfile FILE] [-V]
+                                      [-c PATH] [-d PATH] [--userdir PATH]
+                                      [--export-filename PATH]
+                                      [--analysis-groups {0,1,2,3,4} [{0,1,2,3,4} ...]]
+                                      [--enter-reason-list ENTER_REASON_LIST [ENTER_REASON_LIST ...]]
+                                      [--exit-reason-list EXIT_REASON_LIST [EXIT_REASON_LIST ...]]
+                                      [--indicator-list INDICATOR_LIST [INDICATOR_LIST ...]]
+
+optional arguments:
+  -h, --help            show this help message and exit
+  --export-filename PATH, --backtest-filename PATH
+                        Use this filename for backtest results.Requires
+                        `--export` to be set as well. Example: `--export-filen
+                        ame=user_data/backtest_results/backtest_today.json`
+  --analysis-groups {0,1,2,3,4} [{0,1,2,3,4} ...]
+                        grouping output - 0: simple wins/losses by enter tag,
+                        1: by enter_tag, 2: by enter_tag and exit_tag, 3: by
+                        pair and enter_tag, 4: by pair, enter_ and exit_tag
+                        (this can get quite large)
+  --enter-reason-list ENTER_REASON_LIST [ENTER_REASON_LIST ...]
+                        Comma separated list of entry signals to analyse.
+                        Default: all. e.g. 'entry_tag_a,entry_tag_b'
+  --exit-reason-list EXIT_REASON_LIST [EXIT_REASON_LIST ...]
+                        Comma separated list of exit signals to analyse.
+                        Default: all. e.g.
+                        'exit_tag_a,roi,stop_loss,trailing_stop_loss'
+  --indicator-list INDICATOR_LIST [INDICATOR_LIST ...]
+                        Comma separated list of indicators to analyse. e.g.
+                        'close,rsi,bb_lowerband,profit_abs'
+
+Common arguments:
+  -v, --verbose         Verbose mode (-vv for more, -vvv to get all messages).
+  --logfile FILE        Log to the file specified. Special values are:
+                        'syslog', 'journald'. See the documentation for more
+                        details.
+  -V, --version         show program's version number and exit
+  -c PATH, --config PATH
+                        Specify configuration file (default:
+                        `userdir/config.json` or `config.json` whichever
+                        exists). Multiple --config options may be used. Can be
+                        set to `-` to read config from stdin.
+  -d PATH, --datadir PATH
+                        Path to directory with historical backtesting data.
+  --userdir PATH, --user-data-dir PATH
+                        Path to userdata directory.
+
+```
+
 ## List Hyperopt results
 
 You can list the hyperoptimization epochs the Hyperopt module evaluated previously with the `hyperopt-list` sub-command.

docs/webhook-config.md

@@ -239,3 +239,52 @@ Possible parameters are:
 The fields in `webhook.webhookstatus` are used for regular status messages (Started / Stopped / ...). Parameters are filled using string.format.
 
 The only possible value here is `{status}`.
+
+## Discord
+
+A special form of webhooks is available for discord.
+You can configure this as follows:
+
+```json
+"discord": {
+    "enabled": true,
+    "webhook_url": "https://discord.com/api/webhooks/<Your webhook URL ...>",
+    "exit_fill": [
+        {"Trade ID": "{trade_id}"},
+        {"Exchange": "{exchange}"},
+        {"Pair": "{pair}"},
+        {"Direction": "{direction}"},
+        {"Open rate": "{open_rate}"},
+        {"Close rate": "{close_rate}"},
+        {"Amount": "{amount}"},
+        {"Open date": "{open_date:%Y-%m-%d %H:%M:%S}"},
+        {"Close date": "{close_date:%Y-%m-%d %H:%M:%S}"},
+        {"Profit": "{profit_amount} {stake_currency}"},
+        {"Profitability": "{profit_ratio:.2%}"},
+        {"Enter tag": "{enter_tag}"},
+        {"Exit Reason": "{exit_reason}"},
+        {"Strategy": "{strategy}"},
+        {"Timeframe": "{timeframe}"},
+    ],
+    "entry_fill": [
+        {"Trade ID": "{trade_id}"},
+        {"Exchange": "{exchange}"},
+        {"Pair": "{pair}"},
+        {"Direction": "{direction}"},
+        {"Open rate": "{open_rate}"},
+        {"Amount": "{amount}"},
+        {"Open date": "{open_date:%Y-%m-%d %H:%M:%S}"},
+        {"Enter tag": "{enter_tag}"},
+        {"Strategy": "{strategy} {timeframe}"},
+    ]
+}
+```
+
+
+The above represents the default (`exit_fill` and `entry_fill` are optional and will default to the above configuration) - modifications are obviously possible.
+
+Available fields correspond to the fields for webhooks and are documented in the corresponding webhook sections.
+
+The notifications will look as follows by default.
+
+![discord-notification](assets/discord_notification.png)

freqtrade/__init__.py

@@ -1,5 +1,5 @@
 """ Freqtrade bot """
-__version__ = '2022.5.1'
+__version__ = '2022.6'
 
 if 'dev' in __version__:
     try:

freqtrade/commands/__init__.py

@@ -6,6 +6,7 @@ Contains all start-commands, subcommands and CLI Interface creation.
 Note: Be careful with file-scoped imports in these subfiles.
     as they are parsed on startup, nothing containing optional modules should be loaded.
 """
+from freqtrade.commands.analyze_commands import start_analysis_entries_exits
 from freqtrade.commands.arguments import Arguments
 from freqtrade.commands.build_config_commands import start_new_config
 from freqtrade.commands.data_commands import (start_convert_data, start_convert_trades,

freqtrade/commands/analyze_commands.py

@@ -0,0 +1,69 @@
+import logging
+from pathlib import Path
+from typing import Any, Dict
+
+from freqtrade.configuration import setup_utils_configuration
+from freqtrade.enums import RunMode
+from freqtrade.exceptions import OperationalException
+
+
+logger = logging.getLogger(__name__)
+
+
+def setup_analyze_configuration(args: Dict[str, Any], method: RunMode) -> Dict[str, Any]:
+    """
+    Prepare the configuration for the entry/exit reason analysis module
+    :param args: Cli args from Arguments()
+    :param method: Bot running mode
+    :return: Configuration
+    """
+    config = setup_utils_configuration(args, method)
+
+    no_unlimited_runmodes = {
+        RunMode.BACKTEST: 'backtesting',
+    }
+    if method in no_unlimited_runmodes.keys():
+        from freqtrade.data.btanalysis import get_latest_backtest_filename
+
+        if 'exportfilename' in config:
+            if config['exportfilename'].is_dir():
+                btfile = Path(get_latest_backtest_filename(config['exportfilename']))
+                signals_file = f"{config['exportfilename']}/{btfile.stem}_signals.pkl"
+            else:
+                if config['exportfilename'].exists():
+                    btfile = Path(config['exportfilename'])
+                    signals_file = f"{btfile.parent}/{btfile.stem}_signals.pkl"
+                else:
+                    raise OperationalException(f"{config['exportfilename']} does not exist.")
+        else:
+            raise OperationalException('exportfilename not in config.')
+
+        if (not Path(signals_file).exists()):
+            raise OperationalException(
+                (f"Cannot find latest backtest signals file: {signals_file}."
+                  "Run backtesting with `--export signals`.")
+            )
+
+    return config
+
+
+def start_analysis_entries_exits(args: Dict[str, Any]) -> None:
+    """
+    Start analysis script
+    :param args: Cli args from Arguments()
+    :return: None
+    """
+    from freqtrade.data.entryexitanalysis import process_entry_exit_reasons
+
+    # Initialize configuration
+    config = setup_analyze_configuration(args, RunMode.BACKTEST)
+
+    logger.info('Starting freqtrade in analysis mode')
+
+    process_entry_exit_reasons(config['exportfilename'],
+                               config['exchange']['pair_whitelist'],
+                               config['analysis_groups'],
+                               config['enter_reason_list'],
+                               config['exit_reason_list'],
+                               config['indicator_list']
+                               )

freqtrade/commands/arguments.py

@@ -101,6 +101,9 @@ ARGS_HYPEROPT_SHOW = ["hyperopt_list_best", "hyperopt_list_profitable", "hyperop
                       "print_json", "hyperoptexportfilename", "hyperopt_show_no_header",
                       "disableparamexport", "backtest_breakdown"]
 
+ARGS_ANALYZE_ENTRIES_EXITS = ["exportfilename", "analysis_groups", "enter_reason_list",
+                              "exit_reason_list", "indicator_list"]
+
 NO_CONF_REQURIED = ["convert-data", "convert-trade-data", "download-data", "list-timeframes",
                     "list-markets", "list-pairs", "list-strategies", "list-data",
                     "hyperopt-list", "hyperopt-show", "backtest-filter",
@@ -182,8 +185,9 @@ class Arguments:
         self.parser = argparse.ArgumentParser(description='Free, open source crypto trading bot')
         self._build_args(optionlist=['version'], parser=self.parser)
 
-        from freqtrade.commands import (start_backtesting, start_backtesting_show,
+        from freqtrade.commands import (start_analysis_entries_exits, start_backtesting,
-                                        start_convert_data, start_convert_db, start_convert_trades,
+                                        start_backtesting_show, start_convert_data,
+                                        start_convert_db, start_convert_trades,
                                         start_create_userdir, start_download_data, start_edge,
                                         start_hyperopt, start_hyperopt_list, start_hyperopt_show,
                                         start_install_ui, start_list_data, start_list_exchanges,
@@ -283,6 +287,13 @@ class Arguments:
         backtesting_show_cmd.set_defaults(func=start_backtesting_show)
         self._build_args(optionlist=ARGS_BACKTEST_SHOW, parser=backtesting_show_cmd)
 
+        # Add backtesting analysis subcommand
+        analysis_cmd = subparsers.add_parser('backtesting-analysis',
+                                             help='Backtest Analysis module.',
+                                             parents=[_common_parser])
+        analysis_cmd.set_defaults(func=start_analysis_entries_exits)
+        self._build_args(optionlist=ARGS_ANALYZE_ENTRIES_EXITS, parser=analysis_cmd)
+
         # Add edge subcommand
         edge_cmd = subparsers.add_parser('edge', help='Edge module.',
                                          parents=[_common_parser, _strategy_parser])

freqtrade/commands/cli_options.py

@@ -614,4 +614,37 @@ AVAILABLE_CLI_OPTIONS = {
               "that do not contain any parameters."),
         action="store_true",
     ),
+    "analysis_groups": Arg(
+        "--analysis-groups",
+        help=("grouping output - "
+              "0: simple wins/losses by enter tag, "
+              "1: by enter_tag, "
+              "2: by enter_tag and exit_tag, "
+              "3: by pair and enter_tag, "
+              "4: by pair, enter_ and exit_tag (this can get quite large)"),
+        nargs='+',
+        default=['0', '1', '2'],
+        choices=['0', '1', '2', '3', '4'],
+    ),
+    "enter_reason_list": Arg(
+        "--enter-reason-list",
+        help=("Comma separated list of entry signals to analyse. Default: all. "
+              "e.g. 'entry_tag_a,entry_tag_b'"),
+        nargs='+',
+        default=['all'],
+    ),
+    "exit_reason_list": Arg(
+        "--exit-reason-list",
+        help=("Comma separated list of exit signals to analyse. Default: all. "
+              "e.g. 'exit_tag_a,roi,stop_loss,trailing_stop_loss'"),
+        nargs='+',
+        default=['all'],
+    ),
+    "indicator_list": Arg(
+        "--indicator-list",
+        help=("Comma separated list of indicators to analyse. "
+              "e.g. 'close,rsi,bb_lowerband,profit_abs'"),
+        nargs='+',
+        default=[],
+    ),
 }

freqtrade/commands/hyperopt_commands.py

@@ -24,7 +24,7 @@ def start_hyperopt_list(args: Dict[str, Any]) -> None:
 
     print_colorized = config.get('print_colorized', False)
     print_json = config.get('print_json', False)
-    export_csv = config.get('export_csv', None)
+    export_csv = config.get('export_csv')
     no_details = config.get('hyperopt_list_no_details', False)
     no_header = False
 

freqtrade/configuration/configuration.py

@@ -95,6 +95,8 @@ class Configuration:
 
         self._process_data_options(config)
 
+        self._process_analyze_options(config)
+
         # Check if the exchange set by the user is supported
         check_exchange(config, config.get('experimental', {}).get('block_bad_exchanges', True))
 
@@ -127,7 +129,7 @@ class Configuration:
                 # Default to in-memory db for dry_run if not specified
                 config['db_url'] = constants.DEFAULT_DB_DRYRUN_URL
         else:
-            if not config.get('db_url', None):
+            if not config.get('db_url'):
                 config['db_url'] = constants.DEFAULT_DB_PROD_URL
             logger.info('Dry run is disabled')
 
@@ -180,7 +182,7 @@ class Configuration:
         config['user_data_dir'] = create_userdata_dir(config['user_data_dir'], create_dir=False)
         logger.info('Using user-data directory: %s ...', config['user_data_dir'])
 
-        config.update({'datadir': create_datadir(config, self.args.get('datadir', None))})
+        config.update({'datadir': create_datadir(config, self.args.get('datadir'))})
         logger.info('Using data directory: %s ...', config.get('datadir'))
 
         if self.args.get('exportfilename'):
@@ -219,7 +221,7 @@ class Configuration:
         if config.get('max_open_trades') == -1:
             config['max_open_trades'] = float('inf')
 
-        if self.args.get('stake_amount', None):
+        if self.args.get('stake_amount'):
             # Convert explicitly to float to support CLI argument for both unlimited and value
             try:
                 self.args['stake_amount'] = float(self.args['stake_amount'])
@@ -433,6 +435,19 @@ class Configuration:
         self._args_to_config(config, argname='candle_types',
                              logstring='Detected --candle-types: {}')
 
+    def _process_analyze_options(self, config: Dict[str, Any]) -> None:
+        self._args_to_config(config, argname='analysis_groups',
+                             logstring='Analysis reason groups: {}')
+
+        self._args_to_config(config, argname='enter_reason_list',
+                             logstring='Analysis enter tag list: {}')
+
+        self._args_to_config(config, argname='exit_reason_list',
+                             logstring='Analysis exit tag list: {}')
+
+        self._args_to_config(config, argname='indicator_list',
+                             logstring='Analysis indicator list: {}')
+
     def _process_runmode(self, config: Dict[str, Any]) -> None:
 
         self._args_to_config(config, argname='dry_run',
@@ -459,7 +474,7 @@ class Configuration:
                         configuration instead of the content)
         """
         if (argname in self.args and self.args[argname] is not None
-           and self.args[argname] is not False):
+                and self.args[argname] is not False):
 
             config.update({argname: self.args[argname]})
             if logfun:

freqtrade/constants.py

@@ -336,6 +336,47 @@ CONF_SCHEMA = {
                 'webhookstatus': {'type': 'object'},
             },
         },
+        'discord': {
+            'type': 'object',
+            'properties': {
+                'enabled': {'type': 'boolean'},
+                'webhook_url': {'type': 'string'},
+                "exit_fill": {
+                    'type': 'array', 'items': {'type': 'object'},
+                    'default': [
+                        {"Trade ID": "{trade_id}"},
+                        {"Exchange": "{exchange}"},
+                        {"Pair": "{pair}"},
+                        {"Direction": "{direction}"},
+                        {"Open rate": "{open_rate}"},
+                        {"Close rate": "{close_rate}"},
+                        {"Amount": "{amount}"},
+                        {"Open date": "{open_date:%Y-%m-%d %H:%M:%S}"},
+                        {"Close date": "{close_date:%Y-%m-%d %H:%M:%S}"},
+                        {"Profit": "{profit_amount} {stake_currency}"},
+                        {"Profitability": "{profit_ratio:.2%}"},
+                        {"Enter tag": "{enter_tag}"},
+                        {"Exit Reason": "{exit_reason}"},
+                        {"Strategy": "{strategy}"},
+                        {"Timeframe": "{timeframe}"},
+                    ]
+                },
+                "entry_fill": {
+                    'type': 'array', 'items': {'type': 'object'},
+                    'default': [
+                        {"Trade ID": "{trade_id}"},
+                        {"Exchange": "{exchange}"},
+                        {"Pair": "{pair}"},
+                        {"Direction": "{direction}"},
+                        {"Open rate": "{open_rate}"},
+                        {"Amount": "{amount}"},
+                        {"Open date": "{open_date:%Y-%m-%d %H:%M:%S}"},
+                        {"Enter tag": "{enter_tag}"},
+                        {"Strategy": "{strategy} {timeframe}"},
+                    ]
+                },
+            }
+        },
         'api_server': {
             'type': 'object',
             'properties': {

freqtrade/data/btanalysis.py

@@ -26,7 +26,7 @@ BT_DATA_COLUMNS = ['pair', 'stake_amount', 'amount', 'open_date', 'close_date',
                    'profit_ratio', 'profit_abs', 'exit_reason',
                    'initial_stop_loss_abs', 'initial_stop_loss_ratio', 'stop_loss_abs',
                    'stop_loss_ratio', 'min_rate', 'max_rate', 'is_open', 'enter_tag',
-                   'is_short'
+                   'is_short', 'open_timestamp', 'close_timestamp', 'orders'
                    ]
 
 
@@ -283,6 +283,8 @@ def load_backtest_data(filename: Union[Path, str], strategy: Optional[str] = Non
             if 'enter_tag' not in df.columns:
                 df['enter_tag'] = df['buy_tag']
                 df = df.drop(['buy_tag'], axis=1)
+            if 'orders' not in df.columns:
+                df.loc[:, 'orders'] = None
 
     else:
         # old format - only with lists.
@@ -337,7 +339,7 @@ def trade_list_to_dataframe(trades: List[LocalTrade]) -> pd.DataFrame:
     :param trades: List of trade objects
     :return: Dataframe with BT_DATA_COLUMNS
     """
-    df = pd.DataFrame.from_records([t.to_json() for t in trades], columns=BT_DATA_COLUMNS)
+    df = pd.DataFrame.from_records([t.to_json(True) for t in trades], columns=BT_DATA_COLUMNS)
     if len(df) > 0:
         df.loc[:, 'close_date'] = pd.to_datetime(df['close_date'], utc=True)
         df.loc[:, 'open_date'] = pd.to_datetime(df['open_date'], utc=True)

freqtrade/data/entryexitanalysis.py

@@ -0,0 +1,227 @@
+import logging
+from pathlib import Path
+from typing import List, Optional
+
+import joblib
+import pandas as pd
+from tabulate import tabulate
+
+from freqtrade.data.btanalysis import (get_latest_backtest_filename, load_backtest_data,
+                                       load_backtest_stats)
+from freqtrade.exceptions import OperationalException
+
+
+logger = logging.getLogger(__name__)
+
+
+def _load_signal_candles(backtest_dir: Path):
+    if backtest_dir.is_dir():
+        scpf = Path(backtest_dir,
+                    Path(get_latest_backtest_filename(backtest_dir)).stem + "_signals.pkl"
+                    )
+    else:
+        scpf = Path(backtest_dir.parent / f"{backtest_dir.stem}_signals.pkl")
+
+    try:
+        scp = open(scpf, "rb")
+        signal_candles = joblib.load(scp)
+        logger.info(f"Loaded signal candles: {str(scpf)}")
+    except Exception as e:
+        logger.error("Cannot load signal candles from pickled results: ", e)
+
+    return signal_candles
+
+
+def _process_candles_and_indicators(pairlist, strategy_name, trades, signal_candles):
+    analysed_trades_dict = {}
+    analysed_trades_dict[strategy_name] = {}
+
+    try:
+        logger.info(f"Processing {strategy_name} : {len(pairlist)} pairs")
+
+        for pair in pairlist:
+            if pair in signal_candles[strategy_name]:
+                analysed_trades_dict[strategy_name][pair] = _analyze_candles_and_indicators(
+                                                              pair,
+                                                              trades,
+                                                              signal_candles[strategy_name][pair])
+    except Exception as e:
+        print(f"Cannot process entry/exit reasons for {strategy_name}: ", e)
+
+    return analysed_trades_dict
+
+
+def _analyze_candles_and_indicators(pair, trades, signal_candles):
+    buyf = signal_candles
+
+    if len(buyf) > 0:
+        buyf = buyf.set_index('date', drop=False)
+        trades_red = trades.loc[trades['pair'] == pair].copy()
+
+        trades_inds = pd.DataFrame()
+
+        if trades_red.shape[0] > 0 and buyf.shape[0] > 0:
+            for t, v in trades_red.open_date.items():
+                allinds = buyf.loc[(buyf['date'] < v)]
+                if allinds.shape[0] > 0:
+                    tmp_inds = allinds.iloc[[-1]]
+
+                    trades_red.loc[t, 'signal_date'] = tmp_inds['date'].values[0]
+                    trades_red.loc[t, 'enter_reason'] = trades_red.loc[t, 'enter_tag']
+                    tmp_inds.index.rename('signal_date', inplace=True)
+                    trades_inds = pd.concat([trades_inds, tmp_inds])
+
+            if 'signal_date' in trades_red:
+                trades_red['signal_date'] = pd.to_datetime(trades_red['signal_date'], utc=True)
+                trades_red.set_index('signal_date', inplace=True)
+
+                try:
+                    trades_red = pd.merge(trades_red, trades_inds, on='signal_date', how='outer')
+                except Exception as e:
+                    raise e
+        return trades_red
+    else:
+        return pd.DataFrame()
+
+
+def _do_group_table_output(bigdf, glist):
+    for g in glist:
+        # 0: summary wins/losses grouped by enter tag
+        if g == "0":
+            group_mask = ['enter_reason']
+            wins = bigdf.loc[bigdf['profit_abs'] >= 0] \
+                        .groupby(group_mask) \
+                        .agg({'profit_abs': ['sum']})
+
+            wins.columns = ['profit_abs_wins']
+            loss = bigdf.loc[bigdf['profit_abs'] < 0] \
+                        .groupby(group_mask) \
+                        .agg({'profit_abs': ['sum']})
+            loss.columns = ['profit_abs_loss']
+
+            new = bigdf.groupby(group_mask).agg({'profit_abs': [
+                                                    'count',
+                                                    lambda x: sum(x > 0),
+                                                    lambda x: sum(x <= 0)]})
+            new = pd.concat([new, wins, loss], axis=1).fillna(0)
+
+            new['profit_tot'] = new['profit_abs_wins'] - abs(new['profit_abs_loss'])
+            new['wl_ratio_pct'] = (new.iloc[:, 1] / new.iloc[:, 0] * 100).fillna(0)
+            new['avg_win'] = (new['profit_abs_wins'] / new.iloc[:, 1]).fillna(0)
+            new['avg_loss'] = (new['profit_abs_loss'] / new.iloc[:, 2]).fillna(0)
+
+            new.columns = ['total_num_buys', 'wins', 'losses', 'profit_abs_wins', 'profit_abs_loss',
+                           'profit_tot', 'wl_ratio_pct', 'avg_win', 'avg_loss']
+
+            sortcols = ['total_num_buys']
+
+            _print_table(new, sortcols, show_index=True)
+
+        else:
+            agg_mask = {'profit_abs': ['count', 'sum', 'median', 'mean'],
+                        'profit_ratio': ['sum', 'median', 'mean']}
+            agg_cols = ['num_buys', 'profit_abs_sum', 'profit_abs_median',
+                        'profit_abs_mean', 'median_profit_pct', 'mean_profit_pct',
+                        'total_profit_pct']
+            sortcols = ['profit_abs_sum', 'enter_reason']
+
+            # 1: profit summaries grouped by enter_tag
+            if g == "1":
+                group_mask = ['enter_reason']
+
+            # 2: profit summaries grouped by enter_tag and exit_tag
+            if g == "2":
+                group_mask = ['enter_reason', 'exit_reason']
+
+            # 3: profit summaries grouped by pair and enter_tag
+            if g == "3":
+                group_mask = ['pair', 'enter_reason']
+
+            # 4: profit summaries grouped by pair, enter_ and exit_tag (this can get quite large)
+            if g == "4":
+                group_mask = ['pair', 'enter_reason', 'exit_reason']
+            if group_mask:
+                new = bigdf.groupby(group_mask).agg(agg_mask).reset_index()
+                new.columns = group_mask + agg_cols
+                new['median_profit_pct'] = new['median_profit_pct'] * 100
+                new['mean_profit_pct'] = new['mean_profit_pct'] * 100
+                new['total_profit_pct'] = new['total_profit_pct'] * 100
+
+                _print_table(new, sortcols)
+            else:
+                logger.warning("Invalid group mask specified.")
+
+
+def _print_results(analysed_trades, stratname, analysis_groups,
+                   enter_reason_list, exit_reason_list,
+                   indicator_list, columns=None):
+    if columns is None:
+        columns = ['pair', 'open_date', 'close_date', 'profit_abs', 'enter_reason', 'exit_reason']
+
+    bigdf = pd.DataFrame()
+    for pair, trades in analysed_trades[stratname].items():
+        bigdf = pd.concat([bigdf, trades], ignore_index=True)
+
+    if bigdf.shape[0] > 0 and ('enter_reason' in bigdf.columns):
+        if analysis_groups:
+            _do_group_table_output(bigdf, analysis_groups)
+
+        if enter_reason_list and "all" not in enter_reason_list:
+            bigdf = bigdf.loc[(bigdf['enter_reason'].isin(enter_reason_list))]
+
+        if exit_reason_list and "all" not in exit_reason_list:
+            bigdf = bigdf.loc[(bigdf['exit_reason'].isin(exit_reason_list))]
+
+        if "all" in indicator_list:
+            print(bigdf)
+        elif indicator_list is not None:
+            available_inds = []
+            for ind in indicator_list:
+                if ind in bigdf:
+                    available_inds.append(ind)
+            ilist = ["pair", "enter_reason", "exit_reason"] + available_inds
+            _print_table(bigdf[ilist], sortcols=['exit_reason'], show_index=False)
+    else:
+        print("\\_ No trades to show")
+
+
+def _print_table(df, sortcols=None, show_index=False):
+    if (sortcols is not None):
+        data = df.sort_values(sortcols)
+    else:
+        data = df
+
+    print(
+        tabulate(
+            data,
+            headers='keys',
+            tablefmt='psql',
+            showindex=show_index
+        )
+    )
+
+
+def process_entry_exit_reasons(backtest_dir: Path,
+                               pairlist: List[str],
+                               analysis_groups: Optional[List[str]] = ["0", "1", "2"],
+                               enter_reason_list: Optional[List[str]] = ["all"],
+                               exit_reason_list: Optional[List[str]] = ["all"],
+                               indicator_list: Optional[List[str]] = []):
+    try:
+        backtest_stats = load_backtest_stats(backtest_dir)
+        for strategy_name, results in backtest_stats['strategy'].items():
+            trades = load_backtest_data(backtest_dir, strategy_name)
+
+            if not trades.empty:
+                signal_candles = _load_signal_candles(backtest_dir)
+                analysed_trades_dict = _process_candles_and_indicators(pairlist, strategy_name,
+                                                                       trades, signal_candles)
+                _print_results(analysed_trades_dict,
+                               strategy_name,
+                               analysis_groups,
+                               enter_reason_list,
+                               exit_reason_list,
+                               indicator_list)
+
+    except ValueError as e:
+        raise OperationalException(e) from e

freqtrade/data/history/history_utils.py

@@ -221,7 +221,7 @@ def _download_pair_history(pair: str, *,
             prepend=prepend)
 
         logger.info(f'({process}) - Download history data for "{pair}", {timeframe}, '
-                    f'{candle_type} and store in {datadir}.'
+                    f'{candle_type} and store in {datadir}. '
                     f'From {format_ms_time(since_ms) if since_ms else "start"} to '
                     f'{format_ms_time(until_ms) if until_ms else "now"}'
                     )

freqtrade/exchange/binance.py

@@ -52,10 +52,15 @@ class Binance(Exchange):
 
         ordertype = 'stop' if self.trading_mode == TradingMode.FUTURES else 'stop_loss_limit'
 
-        return order['type'] == ordertype and (
+        return (
-            (side == "sell" and stop_loss > float(order['stopPrice'])) or
+            order.get('stopPrice', None) is None
-            (side == "buy" and stop_loss < float(order['stopPrice']))
+            or (
-        )
+                order['type'] == ordertype
+                and (
+                    (side == "sell" and stop_loss > float(order['stopPrice'])) or
+                    (side == "buy" and stop_loss < float(order['stopPrice']))
+                )
+            ))
 
     def get_tickers(self, symbols: Optional[List[str]] = None, cached: bool = False) -> Dict:
         tickers = super().get_tickers(symbols=symbols, cached=cached)

freqtrade/exchange/exchange.py

@@ -93,7 +93,7 @@ class Exchange:
         :return: None
         """
         self._api: ccxt.Exchange
-        self._api_async: ccxt_async.Exchange
+        self._api_async: ccxt_async.Exchange = None
         self._markets: Dict = {}
         self._trading_fees: Dict[str, Any] = {}
         self._leverage_tiers: Dict[str, List[Dict]] = {}
@@ -387,7 +387,7 @@ class Exchange:
             and market.get('base', None) is not None
             and (self.precisionMode != TICK_SIZE
                  # Too low precision will falsify calculations
-                 or market.get('precision', {}).get('price', None) > 1e-11)
+                 or market.get('precision', {}).get('price') > 1e-11)
             and ((self.trading_mode == TradingMode.SPOT and self.market_is_spot(market))
                  or (self.trading_mode == TradingMode.MARGIN and self.market_is_margin(market))
                  or (self.trading_mode == TradingMode.FUTURES and self.market_is_future(market)))
@@ -537,7 +537,7 @@ class Exchange:
                 # The internal info array is different for each particular market,
                 # its contents depend on the exchange.
                 # It can also be a string or similar ... so we need to verify that first.
-            elif (isinstance(self.markets[pair].get('info', None), dict)
+            elif (isinstance(self.markets[pair].get('info'), dict)
                   and self.markets[pair].get('info', {}).get('prohibitedIn', False)):
                 # Warn users about restricted pairs in whitelist.
                 # We cannot determine reliably if Users are affected.
@@ -2131,10 +2131,11 @@ class Exchange:
         except ccxt.BaseError as e:
             raise OperationalException(e) from e
 
-    @retrier
+    @retrier_async
-    def get_market_leverage_tiers(self, symbol) -> List[Dict]:
+    async def get_market_leverage_tiers(self, symbol: str) -> Tuple[str, List[Dict]]:
         try:
-            return self._api.fetch_market_leverage_tiers(symbol)
+            tier = await self._api_async.fetch_market_leverage_tiers(symbol)
+            return symbol, tier
         except ccxt.DDoSProtection as e:
             raise DDosProtection(e) from e
         except (ccxt.NetworkError, ccxt.ExchangeError) as e:
@@ -2168,8 +2169,14 @@ class Exchange:
                     f"Initializing leverage_tiers for {len(symbols)} markets. "
                     "This will take about a minute.")
 
-                for symbol in sorted(symbols):
+                coros = [self.get_market_leverage_tiers(symbol) for symbol in sorted(symbols)]
-                    tiers[symbol] = self.get_market_leverage_tiers(symbol)
+
+                for input_coro in chunks(coros, 100):
+
+                    results = self.loop.run_until_complete(
+                        asyncio.gather(*input_coro, return_exceptions=True))
+                    for symbol, res in results:
+                        tiers[symbol] = res
 
                 logger.info(f"Done initializing {len(symbols)} markets.")
 

freqtrade/exchange/gateio.py

@@ -3,6 +3,7 @@ import logging
 from datetime import datetime
 from typing import Dict, List, Optional, Tuple
 
+from freqtrade.constants import BuySell
 from freqtrade.enums import MarginMode, TradingMode
 from freqtrade.exceptions import OperationalException
 from freqtrade.exchange import Exchange
@@ -24,6 +25,8 @@ class Gateio(Exchange):
     _ft_has: Dict = {
         "ohlcv_candle_limit": 1000,
         "ohlcv_volume_currency": "quote",
+        "time_in_force_parameter": "timeInForce",
+        "order_time_in_force": ['gtc', 'ioc'],
         "stoploss_order_types": {"limit": "limit"},
         "stoploss_on_exchange": True,
     }
@@ -40,13 +43,33 @@ class Gateio(Exchange):
     ]
 
     def validate_ordertypes(self, order_types: Dict) -> None:
-        super().validate_ordertypes(order_types)
 
         if self.trading_mode != TradingMode.FUTURES:
             if any(v == 'market' for k, v in order_types.items()):
                 raise OperationalException(
                     f'Exchange {self.name} does not support market orders.')
 
+    def _get_params(
+            self,
+            side: BuySell,
+            ordertype: str,
+            leverage: float,
+            reduceOnly: bool,
+            time_in_force: str = 'gtc',
+            ) -> Dict:
+        params = super()._get_params(
+            side=side,
+            ordertype=ordertype,
+            leverage=leverage,
+            reduceOnly=reduceOnly,
+            time_in_force=time_in_force,
+        )
+        if ordertype == 'market' and self.trading_mode == TradingMode.FUTURES:
+            params['type'] = 'market'
+            param = self._ft_has.get('time_in_force_parameter', '')
+            params.update({param: 'ioc'})
+        return params
+
     def get_trades_for_order(self, order_id: str, pair: str, since: datetime,
                              params: Optional[Dict] = None) -> List:
         trades = super().get_trades_for_order(order_id, pair, since, params)
@@ -61,7 +84,8 @@ class Gateio(Exchange):
             pair_fees = self._trading_fees.get(pair, {})
             if pair_fees:
                 for idx, trade in enumerate(trades):
-                    if trade.get('fee', {}).get('cost') is None:
+                    fee = trade.get('fee', {})
+                    if fee and fee.get('cost') is None:
                         takerOrMaker = trade.get('takerOrMaker', 'taker')
                         if pair_fees.get(takerOrMaker) is not None:
                             trades[idx]['fee'] = {
@@ -90,5 +114,7 @@ class Gateio(Exchange):
         Verify stop_loss against stoploss-order value (limit or price)
         Returns True if adjustment is necessary.
         """
-        return ((side == "sell" and stop_loss > float(order['stopPrice'])) or
+        return (order.get('stopPrice', None) is None or (
-                (side == "buy" and stop_loss < float(order['stopPrice'])))
+            side == "sell" and stop_loss > float(order['stopPrice'])) or
+            (side == "buy" and stop_loss < float(order['stopPrice']))
+            )

freqtrade/exchange/huobi.py

@@ -27,7 +27,13 @@ class Huobi(Exchange):
         Verify stop_loss against stoploss-order value (limit or price)
         Returns True if adjustment is necessary.
         """
-        return order['type'] == 'stop' and stop_loss > float(order['stopPrice'])
+        return (
+            order.get('stopPrice', None) is None
+            or (
+                order['type'] == 'stop'
+                and stop_loss > float(order['stopPrice'])
+            )
+        )
 
     def _get_stop_params(self, ordertype: str, stop_price: float) -> Dict:
 

freqtrade/exchange/kucoin.py

@@ -33,7 +33,10 @@ class Kucoin(Exchange):
         Verify stop_loss against stoploss-order value (limit or price)
         Returns True if adjustment is necessary.
         """
-        return order['info'].get('stop') is not None and stop_loss > float(order['stopPrice'])
+        return (
+            order.get('stopPrice', None) is None
+            or stop_loss > float(order['stopPrice'])
+        )
 
     def _get_stop_params(self, ordertype: str, stop_price: float) -> Dict:
 

freqtrade/freqtradebot.py

@@ -4,7 +4,7 @@ Freqtrade is the main module of this bot. It contains the class Freqtrade()
 import copy
 import logging
 import traceback
-from datetime import datetime, time, timezone
+from datetime import datetime, time, timedelta, timezone
 from math import isclose
 from threading import Lock
 from typing import Any, Dict, List, Optional, Tuple
@@ -67,14 +67,12 @@ class FreqtradeBot(LoggingMixin):
 
         self.exchange = ExchangeResolver.load_exchange(self.config['exchange']['name'], self.config)
 
-        init_db(self.config.get('db_url', None))
+        init_db(self.config['db_url'])
 
         self.wallets = Wallets(self.config, self.exchange)
 
         PairLocks.timeframe = self.config['timeframe']
 
-        self.protections = ProtectionManager(self.config, self.strategy.protections)
-
         # RPC runs in separate threads, can start handling external commands just after
         # initialization, even before Freqtradebot has a chance to start its throttling,
         # so anything in the Freqtradebot instance should be ready (initialized), including
@@ -124,6 +122,8 @@ class FreqtradeBot(LoggingMixin):
         self.last_process = datetime(1970, 1, 1, tzinfo=timezone.utc)
 
         self.strategy.ft_bot_start()
+        # Initialize protections AFTER bot start - otherwise parameters are not loaded.
+        self.protections = ProtectionManager(self.config, self.strategy.protections)
 
     def notify_status(self, msg: str) -> None:
         """
@@ -227,7 +227,7 @@ class FreqtradeBot(LoggingMixin):
         Notify the user when the bot is stopped (not reloaded)
         and there are still open trades active.
         """
-        open_trades = Trade.get_trades([Trade.is_open.is_(True)]).all()
+        open_trades = Trade.get_open_trades()
 
         if len(open_trades) != 0 and self.state != State.RELOAD_CONFIG:
             msg = {
@@ -302,6 +302,15 @@ class FreqtradeBot(LoggingMixin):
                 self.update_trade_state(order.trade, order.order_id, fo,
                                         stoploss_order=(order.ft_order_side == 'stoploss'))
 
+            except InvalidOrderException as e:
+                logger.warning(f"Error updating Order {order.order_id} due to {e}.")
+                if order.order_date_utc - timedelta(days=5) < datetime.now(timezone.utc):
+                    logger.warning(
+                        "Order is older than 5 days. Assuming order was fully cancelled.")
+                    fo = order.to_ccxt_object()
+                    fo['status'] = 'canceled'
+                    self.handle_timedout_order(fo, order.trade)
+
             except ExchangeError as e:
 
                 logger.warning(f"Error updating Order {order.order_id} due to {e}")
@@ -639,7 +648,7 @@ class FreqtradeBot(LoggingMixin):
         )
         order_obj = Order.parse_from_ccxt_object(order, pair, side)
         order_id = order['id']
-        order_status = order.get('status', None)
+        order_status = order.get('status')
         logger.info(f"Order #{order_id} was created for {pair} and status is {order_status}.")
 
         # we assume the order is executed at the price requested
@@ -781,7 +790,7 @@ class FreqtradeBot(LoggingMixin):
                 current_rate=enter_limit_requested,
                 proposed_leverage=1.0,
                 max_leverage=max_leverage,
-                side=trade_side,
+                side=trade_side, entry_tag=entry_tag,
             ) if self.trading_mode != TradingMode.SPOT else 1.0
             # Cap leverage between 1.0 and max_leverage.
             leverage = min(max(leverage, 1.0), max_leverage)
@@ -950,6 +959,29 @@ class FreqtradeBot(LoggingMixin):
         logger.debug(f'Found no {exit_signal_type} signal for %s.', trade)
         return False
 
+    def _check_and_execute_exit(self, trade: Trade, exit_rate: float,
+                                enter: bool, exit_: bool, exit_tag: Optional[str]) -> bool:
+        """
+        Check and execute trade exit
+        """
+        exits: List[ExitCheckTuple] = self.strategy.should_exit(
+            trade,
+            exit_rate,
+            datetime.now(timezone.utc),
+            enter=enter,
+            exit_=exit_,
+            force_stoploss=self.edge.stoploss(trade.pair) if self.edge else 0
+        )
+        for should_exit in exits:
+            if should_exit.exit_flag:
+                exit_tag1 = exit_tag if should_exit.exit_type == ExitType.EXIT_SIGNAL else None
+                logger.info(f'Exit for {trade.pair} detected. Reason: {should_exit.exit_type}'
+                            f'{f" Tag: {exit_tag1}" if exit_tag1 is not None else ""}')
+                exited = self.execute_trade_exit(trade, exit_rate, should_exit, exit_tag=exit_tag1)
+                if exited:
+                    return True
+        return False
+
     def create_stoploss_order(self, trade: Trade, stop_price: float) -> bool:
         """
         Abstracts creating stoploss orders from the logic.
@@ -1101,28 +1133,6 @@ class FreqtradeBot(LoggingMixin):
                     logger.warning(f"Could not create trailing stoploss order "
                                    f"for pair {trade.pair}.")
 
-    def _check_and_execute_exit(self, trade: Trade, exit_rate: float,
-                                enter: bool, exit_: bool, exit_tag: Optional[str]) -> bool:
-        """
-        Check and execute trade exit
-        """
-        exits: List[ExitCheckTuple] = self.strategy.should_exit(
-            trade,
-            exit_rate,
-            datetime.now(timezone.utc),
-            enter=enter,
-            exit_=exit_,
-            force_stoploss=self.edge.stoploss(trade.pair) if self.edge else 0
-        )
-        for should_exit in exits:
-            if should_exit.exit_flag:
-                logger.info(f'Exit for {trade.pair} detected. Reason: {should_exit.exit_type}'
-                            f'{f" Tag: {exit_tag}" if exit_tag is not None else ""}')
-                exited = self.execute_trade_exit(trade, exit_rate, should_exit, exit_tag=exit_tag)
-                if exited:
-                    return True
-        return False
-
     def manage_open_orders(self) -> None:
         """
         Management of open orders on exchange. Unfilled orders might be cancelled if timeout
@@ -1532,7 +1542,7 @@ class FreqtradeBot(LoggingMixin):
             'open_date': trade.open_date,
             'close_date': trade.close_date or datetime.utcnow(),
             'stake_currency': self.config['stake_currency'],
-            'fiat_currency': self.config.get('fiat_display_currency', None),
+            'fiat_currency': self.config.get('fiat_display_currency'),
         }
 
         if 'fiat_display_currency' in self.config:
@@ -1643,7 +1653,7 @@ class FreqtradeBot(LoggingMixin):
 
         if order['status'] in constants.NON_OPEN_EXCHANGE_STATES:
             # If a entry order was closed, force update on stoploss on exchange
-            if order.get('side', None) == trade.entry_side:
+            if order.get('side') == trade.entry_side:
                 trade = self.cancel_stoploss_on_exchange(trade)
                 # TODO: Margin will need to use interest_rate as well.
                 # interest_rate = self.exchange.get_interest_rate()

freqtrade/optimize/backtesting.py

@@ -87,7 +87,7 @@ class Backtesting:
         self.exchange = ExchangeResolver.load_exchange(self._exchange_name, self.config)
         self.dataprovider = DataProvider(self.config, self.exchange)
 
-        if self.config.get('strategy_list', None):
+        if self.config.get('strategy_list'):
             for strat in list(self.config['strategy_list']):
                 stratconf = deepcopy(self.config)
                 stratconf['strategy'] = strat
@@ -189,6 +189,7 @@ class Backtesting:
         self.strategy.order_types['stoploss_on_exchange'] = False
 
         self.strategy.ft_bot_start()
+        strategy_safe_wrapper(self.strategy.bot_loop_start, supress_error=True)()
 
     def _load_protections(self, strategy: IStrategy):
         if self.config.get('enable_protections', False):
@@ -704,7 +705,7 @@ class Backtesting:
                 current_rate=row[OPEN_IDX],
                 proposed_leverage=1.0,
                 max_leverage=max_leverage,
-                side=direction,
+                side=direction, entry_tag=entry_tag,
             ) if self._can_short else 1.0
             # Cap leverage between 1.0 and max_leverage.
             leverage = min(max(leverage, 1.0), max_leverage)
@@ -966,6 +967,7 @@ class Backtesting:
                 return False
             else:
                 del trade.orders[trade.orders.index(order)]
+                trade.open_order_id = None
                 self.canceled_entry_orders += 1
 
             # place new order if result was not None
@@ -1054,6 +1056,7 @@ class Backtesting:
                         # Close trade
                         open_trade_count -= 1
                         open_trades[pair].remove(t)
+                        LocalTrade.trades_open.remove(t)
                         self.wallets.update()
 
                 # 2. Process entries.
@@ -1077,6 +1080,8 @@ class Backtesting:
                         open_trade_count += 1
                         # logger.debug(f"{pair} - Emulate creation of new trade: {trade}.")
                         open_trades[pair].append(trade)
+                        LocalTrade.add_bt_trade(trade)
+                        self.wallets.update()
 
                 for trade in list(open_trades[pair]):
                     # 3. Process entry orders.
@@ -1084,7 +1089,6 @@ class Backtesting:
                     if order and self._get_order_filled(order.price, row):
                         order.close_bt_order(current_time, trade)
                         trade.open_order_id = None
-                        LocalTrade.add_bt_trade(trade)
                         self.wallets.update()
 
                     # 4. Create exit orders (if any)
@@ -1094,6 +1098,7 @@ class Backtesting:
                     # 5. Process exit orders.
                     order = trade.select_order(trade.exit_side, is_open=True)
                     if order and self._get_order_filled(order.price, row):
+                        order.close_bt_order(current_time, trade)
                         trade.open_order_id = None
                         trade.close_date = current_time
                         trade.close(order.price, show_msg=False)
@@ -1136,8 +1141,6 @@ class Backtesting:
         backtest_start_time = datetime.now(timezone.utc)
         self._set_strategy(strat)
 
-        strategy_safe_wrapper(self.strategy.bot_loop_start, supress_error=True)()
-
         # Use max_open_trades in backtesting, except --disable-max-market-positions is set
         if self.config.get('use_max_market_positions', True):
             # Must come from strategy config, as the strategy may modify this setting.
@@ -1262,13 +1265,14 @@ class Backtesting:
                 self.results['strategy_comparison'].extend(results['strategy_comparison'])
             else:
                 self.results = results
-
+            dt_appendix = datetime.now().strftime("%Y-%m-%d_%H-%M-%S")
             if self.config.get('export', 'none') in ('trades', 'signals'):
-                store_backtest_stats(self.config['exportfilename'], self.results)
+                store_backtest_stats(self.config['exportfilename'], self.results, dt_appendix)
 
             if (self.config.get('export', 'none') == 'signals' and
                     self.dataprovider.runmode == RunMode.BACKTEST):
-                store_backtest_signal_candles(self.config['exportfilename'], self.processed_dfs)
+                store_backtest_signal_candles(
+                    self.config['exportfilename'], self.processed_dfs, dt_appendix)
 
         # Results may be mixed up now. Sort them so they follow --strategy-list order.
         if 'strategy_list' in self.config and len(self.results) > 0:

freqtrade/optimize/hyperopt.py

@@ -429,7 +429,7 @@ class Hyperopt:
             return new_list
         i = 0
         asked_non_tried: List[List[Any]] = []
-        is_random: List[bool] = []
+        is_random_non_tried: List[bool] = []
         while i < 5 and len(asked_non_tried) < n_points:
             if i < 3:
                 self.opt.cache_ = {}
@@ -438,9 +438,9 @@ class Hyperopt:
             else:
                 asked = unique_list(self.opt.space.rvs(n_samples=n_points * 5))
                 is_random = [True for _ in range(len(asked))]
-            is_random += [rand for x, rand in zip(asked, is_random)
+            is_random_non_tried += [rand for x, rand in zip(asked, is_random)
-                          if x not in self.opt.Xi
+                                    if x not in self.opt.Xi
-                          and x not in asked_non_tried]
+                                    and x not in asked_non_tried]
             asked_non_tried += [x for x in asked
                                 if x not in self.opt.Xi
                                 and x not in asked_non_tried]
@@ -449,13 +449,13 @@ class Hyperopt:
         if asked_non_tried:
             return (
                 asked_non_tried[:min(len(asked_non_tried), n_points)],
-                is_random[:min(len(asked_non_tried), n_points)]
+                is_random_non_tried[:min(len(asked_non_tried), n_points)]
             )
         else:
             return self.opt.ask(n_points=n_points), [False for _ in range(n_points)]
 
     def start(self) -> None:
-        self.random_state = self._set_random_state(self.config.get('hyperopt_random_state', None))
+        self.random_state = self._set_random_state(self.config.get('hyperopt_random_state'))
         logger.info(f"Using optimizer random state: {self.random_state}")
         self.hyperopt_table_header = -1
         # Initialize spaces ...

freqtrade/optimize/hyperopt_tools.py

@@ -127,14 +127,14 @@ class HyperoptTools():
             'only_profitable': config.get('hyperopt_list_profitable', False),
             'filter_min_trades': config.get('hyperopt_list_min_trades', 0),
             'filter_max_trades': config.get('hyperopt_list_max_trades', 0),
-            'filter_min_avg_time': config.get('hyperopt_list_min_avg_time', None),
+            'filter_min_avg_time': config.get('hyperopt_list_min_avg_time'),
-            'filter_max_avg_time': config.get('hyperopt_list_max_avg_time', None),
+            'filter_max_avg_time': config.get('hyperopt_list_max_avg_time'),
-            'filter_min_avg_profit': config.get('hyperopt_list_min_avg_profit', None),
+            'filter_min_avg_profit': config.get('hyperopt_list_min_avg_profit'),
-            'filter_max_avg_profit': config.get('hyperopt_list_max_avg_profit', None),
+            'filter_max_avg_profit': config.get('hyperopt_list_max_avg_profit'),
-            'filter_min_total_profit': config.get('hyperopt_list_min_total_profit', None),
+            'filter_min_total_profit': config.get('hyperopt_list_min_total_profit'),
-            'filter_max_total_profit': config.get('hyperopt_list_max_total_profit', None),
+            'filter_max_total_profit': config.get('hyperopt_list_max_total_profit'),
-            'filter_min_objective': config.get('hyperopt_list_min_objective', None),
+            'filter_min_objective': config.get('hyperopt_list_min_objective'),
-            'filter_max_objective': config.get('hyperopt_list_max_objective', None),
+            'filter_max_objective': config.get('hyperopt_list_max_objective'),
         }
         if not HyperoptTools._test_hyperopt_results_exist(results_file):
             # No file found.

freqtrade/optimize/optimize_reports.py

@@ -4,7 +4,6 @@ from datetime import datetime, timedelta, timezone
 from pathlib import Path
 from typing import Any, Dict, List, Union
 
-from numpy import int64
 from pandas import DataFrame, to_datetime
 from tabulate import tabulate
 
@@ -18,21 +17,21 @@ from freqtrade.optimize.backtest_caching import get_backtest_metadata_filename
 logger = logging.getLogger(__name__)
 
 
-def store_backtest_stats(recordfilename: Path, stats: Dict[str, DataFrame]) -> None:
+def store_backtest_stats(
+        recordfilename: Path, stats: Dict[str, DataFrame], dtappendix: str) -> None:
     """
     Stores backtest results
     :param recordfilename: Path object, which can either be a filename or a directory.
         Filenames will be appended with a timestamp right before the suffix
         while for directories, <directory>/backtest-result-<datetime>.json will be used as filename
     :param stats: Dataframe containing the backtesting statistics
+    :param dtappendix: Datetime to use for the filename
     """
     if recordfilename.is_dir():
-        filename = (recordfilename /
+        filename = (recordfilename / f'backtest-result-{dtappendix}.json')
-                    f'backtest-result-{datetime.now().strftime("%Y-%m-%d_%H-%M-%S")}.json')
     else:
         filename = Path.joinpath(
-            recordfilename.parent,
+            recordfilename.parent, f'{recordfilename.stem}-{dtappendix}'
-            f'{recordfilename.stem}-{datetime.now().strftime("%Y-%m-%d_%H-%M-%S")}'
         ).with_suffix(recordfilename.suffix)
 
     # Store metadata separately.
@@ -45,7 +44,8 @@ def store_backtest_stats(recordfilename: Path, stats: Dict[str, DataFrame]) -> N
     file_dump_json(latest_filename, {'latest_backtest': str(filename.name)})
 
 
-def store_backtest_signal_candles(recordfilename: Path, candles: Dict[str, Dict]) -> Path:
+def store_backtest_signal_candles(
+        recordfilename: Path, candles: Dict[str, Dict], dtappendix: str) -> Path:
     """
     Stores backtest trade signal candles
     :param recordfilename: Path object, which can either be a filename or a directory.
@@ -53,14 +53,13 @@ def store_backtest_signal_candles(recordfilename: Path, candles: Dict[str, Dict]
         while for directories, <directory>/backtest-result-<datetime>_signals.pkl will be used
         as filename
     :param stats: Dict containing the backtesting signal candles
+    :param dtappendix: Datetime to use for the filename
     """
     if recordfilename.is_dir():
-        filename = (recordfilename /
+        filename = (recordfilename / f'backtest-result-{dtappendix}_signals.pkl')
-                    f'backtest-result-{datetime.now().strftime("%Y-%m-%d_%H-%M-%S")}_signals.pkl')
     else:
         filename = Path.joinpath(
-            recordfilename.parent,
+            recordfilename.parent, f'{recordfilename.stem}-{dtappendix}_signals.pkl'
-            f'{recordfilename.stem}-{datetime.now().strftime("%Y-%m-%d_%H-%M-%S")}_signals.pkl'
         )
 
     file_dump_joblib(filename, candles)
@@ -417,9 +416,9 @@ def generate_strategy_stats(pairlist: List[str],
                     key=lambda x: x['profit_sum']) if len(pair_results) > 1 else None
     worst_pair = min([pair for pair in pair_results if pair['key'] != 'TOTAL'],
                      key=lambda x: x['profit_sum']) if len(pair_results) > 1 else None
-    if not results.empty:
+    winning_profit = results.loc[results['profit_abs'] > 0, 'profit_abs'].sum()
-        results['open_timestamp'] = results['open_date'].view(int64) // 1e6
+    losing_profit = results.loc[results['profit_abs'] < 0, 'profit_abs'].sum()
-        results['close_timestamp'] = results['close_date'].view(int64) // 1e6
+    profit_factor = winning_profit / abs(losing_profit) if losing_profit else 0.0
 
     backtest_days = (max_date - min_date).days or 1
     strat_stats = {
@@ -447,6 +446,7 @@ def generate_strategy_stats(pairlist: List[str],
         'profit_total_long_abs': results.loc[~results['is_short'], 'profit_abs'].sum(),
         'profit_total_short_abs': results.loc[results['is_short'], 'profit_abs'].sum(),
         'cagr': calculate_cagr(backtest_days, start_balance, content['final_balance']),
+        'profit_factor': profit_factor,
         'backtest_start': min_date.strftime(DATETIME_PRINT_FORMAT),
         'backtest_start_ts': int(min_date.timestamp() * 1000),
         'backtest_end': max_date.strftime(DATETIME_PRINT_FORMAT),
@@ -501,8 +501,10 @@ def generate_strategy_stats(pairlist: List[str],
         (drawdown_abs, drawdown_start, drawdown_end, high_val, low_val,
          max_drawdown) = calculate_max_drawdown(
              results, value_col='profit_abs', starting_balance=start_balance)
+        # max_relative_drawdown = Underwater
         (_, _, _, _, _, max_relative_drawdown) = calculate_max_drawdown(
              results, value_col='profit_abs', starting_balance=start_balance, relative=True)
+
         strat_stats.update({
             'max_drawdown': max_drawdown_legacy,  # Deprecated - do not use
             'max_drawdown_account': max_drawdown,
@@ -781,6 +783,8 @@ def text_table_add_metrics(strat_results: Dict) -> str:
                                                   strat_results['stake_currency'])),
             ('Total profit %', f"{strat_results['profit_total']:.2%}"),
             ('CAGR %', f"{strat_results['cagr']:.2%}" if 'cagr' in strat_results else 'N/A'),
+            ('Profit factor', f'{strat_results["profit_factor"]:.2f}' if 'profit_factor'
+                              in strat_results else 'N/A'),
             ('Trades per day', strat_results['trades_per_day']),
             ('Avg. daily profit %',
              f"{(strat_results['profit_total'] / strat_results['backtest_days']):.2%}"),

freqtrade/persistence/migrations.py

@@ -201,16 +201,18 @@ def migrate_orders_table(engine, table_back_name: str, cols_order: List):
 
     ft_fee_base = get_column_def(cols_order, 'ft_fee_base', 'null')
     average = get_column_def(cols_order, 'average', 'null')
+    stop_price = get_column_def(cols_order, 'stop_price', 'null')
 
     # sqlite does not support literals for booleans
     with engine.begin() as connection:
         connection.execute(text(f"""
             insert into orders (id, ft_trade_id, ft_order_side, ft_pair, ft_is_open, order_id,
             status, symbol, order_type, side, price, amount, filled, average, remaining, cost,
-            order_date, order_filled_date, order_update_date, ft_fee_base)
+            stop_price, order_date, order_filled_date, order_update_date, ft_fee_base)
             select id, ft_trade_id, ft_order_side, ft_pair, ft_is_open, order_id,
             status, symbol, order_type, side, price, amount, filled, {average} average, remaining,
-            cost, order_date, order_filled_date, order_update_date, {ft_fee_base} ft_fee_base
+            cost, {stop_price} stop_price, order_date, order_filled_date,
+            order_update_date, {ft_fee_base} ft_fee_base
             from {table_back_name}
             """))
 
@@ -247,6 +249,35 @@ def set_sqlite_to_wal(engine):
             connection.execute(text("PRAGMA journal_mode=wal"))
 
 
+def fix_old_dry_orders(engine):
+    with engine.begin() as connection:
+        connection.execute(
+            text(
+                """
+                update orders
+                set ft_is_open = 0
+                where ft_is_open = 1 and (ft_trade_id, order_id) not in (
+                    select id, stoploss_order_id from trades where stoploss_order_id is not null
+                ) and ft_order_side = 'stoploss'
+                and order_id like 'dry_%'
+                """
+            )
+        )
+        connection.execute(
+            text(
+                """
+                update orders
+                set ft_is_open = 0
+                where ft_is_open = 1
+                and (ft_trade_id, order_id) not in (
+                    select id, open_order_id from trades where open_order_id is not null
+                ) and ft_order_side != 'stoploss'
+                and order_id like 'dry_%'
+                """
+            )
+        )
+
+
 def check_migrate(engine, decl_base, previous_tables) -> None:
     """
     Checks if migration is necessary and migrates if necessary
@@ -265,9 +296,8 @@ def check_migrate(engine, decl_base, previous_tables) -> None:
 
     # Check if migration necessary
     # Migrates both trades and orders table!
-    # if ('orders' not in previous_tables
+    if not has_column(cols_orders, 'stop_price'):
-    # or not has_column(cols_orders, 'leverage')):
+        # if not has_column(cols_trades, 'base_currency'):
-    if not has_column(cols_trades, 'base_currency'):
         logger.info(f"Running database migration for trades - "
                     f"backup: {table_back_name}, {order_table_bak_name}")
         migrate_trades_and_orders_table(
@@ -288,3 +318,4 @@ def check_migrate(engine, decl_base, previous_tables) -> None:
             "start with a fresh database.")
 
     set_sqlite_to_wal(engine)
+    fix_old_dry_orders(engine)

freqtrade/persistence/trade_model.py

@@ -8,7 +8,7 @@ from typing import Any, Dict, List, Optional
 
 from sqlalchemy import (Boolean, Column, DateTime, Enum, Float, ForeignKey, Integer, String,
                         UniqueConstraint, desc, func)
-from sqlalchemy.orm import Query, relationship
+from sqlalchemy.orm import Query, lazyload, relationship
 
 from freqtrade.constants import DATETIME_PRINT_FORMAT, NON_OPEN_EXCHANGE_STATES, BuySell, LongShort
 from freqtrade.enums import ExitType, TradingMode
@@ -57,6 +57,7 @@ class Order(_DECL_BASE):
     filled = Column(Float, nullable=True)
     remaining = Column(Float, nullable=True)
     cost = Column(Float, nullable=True)
+    stop_price = Column(Float, nullable=True)
     order_date = Column(DateTime, nullable=True, default=datetime.utcnow)
     order_filled_date = Column(DateTime, nullable=True)
     order_update_date = Column(DateTime, nullable=True)
@@ -74,7 +75,7 @@ class Order(_DECL_BASE):
 
     @property
     def safe_filled(self) -> float:
-        return self.filled or self.amount or 0.0
+        return self.filled if self.filled is not None else self.amount or 0.0
 
     @property
     def safe_fee_base(self) -> float:
@@ -107,6 +108,7 @@ class Order(_DECL_BASE):
         self.average = order.get('average', self.average)
         self.remaining = order.get('remaining', self.remaining)
         self.cost = order.get('cost', self.cost)
+        self.stop_price = order.get('stopPrice', self.stop_price)
 
         if 'timestamp' in order and order['timestamp'] is not None:
             self.order_date = datetime.fromtimestamp(order['timestamp'] / 1000, tz=timezone.utc)
@@ -130,6 +132,7 @@ class Order(_DECL_BASE):
             'side': self.ft_order_side,
             'filled': self.filled,
             'remaining': self.remaining,
+            'stopPrice': self.stop_price,
             'datetime': self.order_date_utc.strftime('%Y-%m-%dT%H:%M:%S.%f'),
             'timestamp': int(self.order_date_utc.timestamp() * 1000),
             'status': self.status,
@@ -137,35 +140,40 @@ class Order(_DECL_BASE):
             'info': {},
         }
 
-    def to_json(self, entry_side: str) -> Dict[str, Any]:
+    def to_json(self, entry_side: str, minified: bool = False) -> Dict[str, Any]:
-        return {
+        resp = {
-            'pair': self.ft_pair,
-            'order_id': self.order_id,
-            'status': self.status,
             'amount': self.amount,
-            'average': round(self.average, 8) if self.average else 0,
             'safe_price': self.safe_price,
-            'cost': self.cost if self.cost else 0,
-            'filled': self.filled,
             'ft_order_side': self.ft_order_side,
-            'is_open': self.ft_is_open,
-            'order_date': self.order_date.strftime(DATETIME_PRINT_FORMAT)
-            if self.order_date else None,
-            'order_timestamp': int(self.order_date.replace(
-                tzinfo=timezone.utc).timestamp() * 1000) if self.order_date else None,
-            'order_filled_date': self.order_filled_date.strftime(DATETIME_PRINT_FORMAT)
-            if self.order_filled_date else None,
             'order_filled_timestamp': int(self.order_filled_date.replace(
                 tzinfo=timezone.utc).timestamp() * 1000) if self.order_filled_date else None,
-            'order_type': self.order_type,
-            'price': self.price,
             'ft_is_entry': self.ft_order_side == entry_side,
-            'remaining': self.remaining,
         }
+        if not minified:
+            resp.update({
+                'pair': self.ft_pair,
+                'order_id': self.order_id,
+                'status': self.status,
+                'average': round(self.average, 8) if self.average else 0,
+                'cost': self.cost if self.cost else 0,
+                'filled': self.filled,
+                'is_open': self.ft_is_open,
+                'order_date': self.order_date.strftime(DATETIME_PRINT_FORMAT)
+                if self.order_date else None,
+                'order_timestamp': int(self.order_date.replace(
+                    tzinfo=timezone.utc).timestamp() * 1000) if self.order_date else None,
+                'order_filled_date': self.order_filled_date.strftime(DATETIME_PRINT_FORMAT)
+                if self.order_filled_date else None,
+                'order_type': self.order_type,
+                'price': self.price,
+                'remaining': self.remaining,
+            })
+        return resp
 
     def close_bt_order(self, close_date: datetime, trade: 'LocalTrade'):
         self.order_filled_date = close_date
         self.filled = self.amount
+        self.remaining = 0
         self.status = 'closed'
         self.ft_is_open = False
         if (self.ft_order_side == trade.entry_side
@@ -393,9 +401,9 @@ class LocalTrade():
             f'open_rate={self.open_rate:.8f}, open_since={open_since})'
         )
 
-    def to_json(self) -> Dict[str, Any]:
+    def to_json(self, minified: bool = False) -> Dict[str, Any]:
-        filled_orders = self.select_filled_orders()
+        filled_orders = self.select_filled_or_open_orders()
-        orders = [order.to_json(self.entry_side) for order in filled_orders]
+        orders = [order.to_json(self.entry_side, minified) for order in filled_orders]
 
         return {
             'trade_id': self.id,
@@ -619,8 +627,8 @@ class LocalTrade():
         """
         self.close_rate = rate
         self.close_date = self.close_date or datetime.utcnow()
-        self.close_profit = self.calc_profit_ratio()
+        self.close_profit = self.calc_profit_ratio(rate)
-        self.close_profit_abs = self.calc_profit()
+        self.close_profit_abs = self.calc_profit(rate)
         self.is_open = False
         self.exit_order_status = 'closed'
         self.open_order_id = None
@@ -688,10 +696,9 @@ class LocalTrade():
         """
         self.open_trade_value = self._calc_open_trade_value()
 
-    def calculate_interest(self, interest_rate: Optional[float] = None) -> Decimal:
+    def calculate_interest(self) -> Decimal:
         """
-        :param interest_rate: interest_charge for borrowing this coin(optional).
+        Calculate interest for this trade. Only applicable for Margin trading.
-        If interest_rate is not set self.interest_rate will be used
         """
         zero = Decimal(0.0)
         # If nothing was borrowed
@@ -704,34 +711,26 @@ class LocalTrade():
         total_seconds = Decimal((now - open_date).total_seconds())
         hours = total_seconds / sec_per_hour or zero
 
-        rate = Decimal(interest_rate or self.interest_rate)
+        rate = Decimal(self.interest_rate)
         borrowed = Decimal(self.borrowed)
 
         return interest(exchange_name=self.exchange, borrowed=borrowed, rate=rate, hours=hours)
 
-    def _calc_base_close(self, amount: Decimal, rate: Optional[float] = None,
+    def _calc_base_close(self, amount: Decimal, rate: float, fee: float) -> Decimal:
-                         fee: Optional[float] = None) -> Decimal:
 
-        close_trade = Decimal(amount) * Decimal(rate or self.close_rate)  # type: ignore
+        close_trade = amount * Decimal(rate)
-        fees = close_trade * Decimal(fee or self.fee_close)
+        fees = close_trade * Decimal(fee)
 
         if self.is_short:
             return close_trade + fees
         else:
             return close_trade - fees
 
-    def calc_close_trade_value(self, rate: Optional[float] = None,
+    def calc_close_trade_value(self, rate: float) -> float:
-                               fee: Optional[float] = None,
-                               interest_rate: Optional[float] = None) -> float:
         """
-        Calculate the close_rate including fee
+        Calculate the Trade's close value including fees
-        :param fee: fee to use on the close rate (optional).
+        :param rate: rate to compare with.
-            If rate is not set self.fee will be used
+        :return: value in stake currency of the open trade
-        :param rate: rate to compare with (optional).
-            If rate is not set self.close_rate will be used
-        :param interest_rate: interest_charge for borrowing this coin (optional).
-            If interest_rate is not set self.interest_rate will be used
-        :return: Price in BTC of the open trade
         """
         if rate is None and not self.close_rate:
             return 0.0
@@ -740,49 +739,38 @@ class LocalTrade():
         trading_mode = self.trading_mode or TradingMode.SPOT
 
         if trading_mode == TradingMode.SPOT:
-            return float(self._calc_base_close(amount, rate, fee))
+            return float(self._calc_base_close(amount, rate, self.fee_close))
 
         elif (trading_mode == TradingMode.MARGIN):
 
-            total_interest = self.calculate_interest(interest_rate)
+            total_interest = self.calculate_interest()
 
             if self.is_short:
                 amount = amount + total_interest
-                return float(self._calc_base_close(amount, rate, fee))
+                return float(self._calc_base_close(amount, rate, self.fee_close))
             else:
                 # Currency already owned for longs, no need to purchase
-                return float(self._calc_base_close(amount, rate, fee) - total_interest)
+                return float(self._calc_base_close(amount, rate, self.fee_close) - total_interest)
 
         elif (trading_mode == TradingMode.FUTURES):
             funding_fees = self.funding_fees or 0.0
             # Positive funding_fees -> Trade has gained from fees.
             # Negative funding_fees -> Trade had to pay the fees.
             if self.is_short:
-                return float(self._calc_base_close(amount, rate, fee)) - funding_fees
+                return float(self._calc_base_close(amount, rate, self.fee_close)) - funding_fees
             else:
-                return float(self._calc_base_close(amount, rate, fee)) + funding_fees
+                return float(self._calc_base_close(amount, rate, self.fee_close)) + funding_fees
         else:
             raise OperationalException(
                 f"{self.trading_mode.value} trading is not yet available using freqtrade")
 
-    def calc_profit(self, rate: Optional[float] = None,
+    def calc_profit(self, rate: float) -> float:
-                    fee: Optional[float] = None,
-                    interest_rate: Optional[float] = None) -> float:
         """
         Calculate the absolute profit in stake currency between Close and Open trade
-        :param fee: fee to use on the close rate (optional).
+        :param rate: close rate to compare with.
-            If fee is not set self.fee will be used
+        :return: profit in stake currency as float
-        :param rate: close rate to compare with (optional).
-            If rate is not set self.close_rate will be used
-        :param interest_rate: interest_charge for borrowing this coin (optional).
-            If interest_rate is not set self.interest_rate will be used
-        :return:  profit in stake currency as float
         """
-        close_trade_value = self.calc_close_trade_value(
+        close_trade_value = self.calc_close_trade_value(rate)
-            rate=(rate or self.close_rate),
-            fee=(fee or self.fee_close),
-            interest_rate=(interest_rate or self.interest_rate)
-        )
 
         if self.is_short:
             profit = self.open_trade_value - close_trade_value
@@ -790,23 +778,13 @@ class LocalTrade():
             profit = close_trade_value - self.open_trade_value
         return float(f"{profit:.8f}")
 
-    def calc_profit_ratio(self, rate: Optional[float] = None,
+    def calc_profit_ratio(self, rate: float) -> float:
-                          fee: Optional[float] = None,
-                          interest_rate: Optional[float] = None) -> float:
         """
         Calculates the profit as ratio (including fee).
-        :param rate: rate to compare with (optional).
+        :param rate: rate to compare with.
-            If rate is not set self.close_rate will be used
-        :param fee: fee to use on the close rate (optional).
-        :param interest_rate: interest_charge for borrowing this coin (optional).
-            If interest_rate is not set self.interest_rate will be used
         :return: profit ratio as float
         """
-        close_trade_value = self.calc_close_trade_value(
+        close_trade_value = self.calc_close_trade_value(rate)
-            rate=(rate or self.close_rate),
-            fee=(fee or self.fee_close),
-            interest_rate=(interest_rate or self.interest_rate)
-        )
 
         short_close_zero = (self.is_short and close_trade_value == 0.0)
         long_close_zero = (not self.is_short and self.open_trade_value == 0.0)
@@ -823,14 +801,6 @@ class LocalTrade():
         return float(f"{profit_ratio:.8f}")
 
     def recalc_trade_from_orders(self):
-        # We need at least 2 entry orders for averaging amounts and rates.
-        # TODO: this condition could probably be removed
-        if len(self.select_filled_orders(self.entry_side)) < 2:
-            self.stake_amount = self.amount * self.open_rate / self.leverage
-
-            # Just in case, still recalc open trade value
-            self.recalc_open_trade_value()
-            return
 
         total_amount = 0.0
         total_stake = 0.0
@@ -842,8 +812,6 @@ class LocalTrade():
 
             tmp_amount = o.safe_amount_after_fee
             tmp_price = o.average or o.price
-            if o.filled is not None:
-                tmp_amount = o.filled
             if tmp_amount > 0.0 and tmp_price is not None:
                 total_amount += tmp_amount
                 total_stake += tmp_price * tmp_amount
@@ -897,6 +865,21 @@ class LocalTrade():
                 (o.filled or 0) > 0 and
                 o.status in NON_OPEN_EXCHANGE_STATES]
 
+    def select_filled_or_open_orders(self) -> List['Order']:
+        """
+        Finds filled or open orders
+        :param order_side: Side of the order (either 'buy', 'sell', or None)
+        :return: array of Order objects
+        """
+        return [o for o in self.orders if
+                (
+                    o.ft_is_open is False
+                    and (o.filled or 0) > 0
+                    and o.status in NON_OPEN_EXCHANGE_STATES
+                    )
+                or (o.ft_is_open is True and o.status is not None)
+                ]
+
     @property
     def nr_of_successful_entries(self) -> int:
         """
@@ -1135,7 +1118,7 @@ class Trade(_DECL_BASE, LocalTrade):
             )
 
     @staticmethod
-    def get_trades(trade_filter=None) -> Query:
+    def get_trades(trade_filter=None, include_orders: bool = True) -> Query:
         """
         Helper function to query Trades using filters.
         NOTE: Not supported in Backtesting.
@@ -1150,9 +1133,14 @@ class Trade(_DECL_BASE, LocalTrade):
         if trade_filter is not None:
             if not isinstance(trade_filter, list):
                 trade_filter = [trade_filter]
-            return Trade.query.filter(*trade_filter)
+            this_query = Trade.query.filter(*trade_filter)
         else:
-            return Trade.query
+            this_query = Trade.query
+        if not include_orders:
+            # Don't load order relations
+            # Consider using noload or raiseload instead of lazyload
+            this_query = this_query.options(lazyload(Trade.orders))
+        return this_query
 
     @staticmethod
     def get_open_order_trades() -> List['Trade']:
@@ -1372,3 +1360,18 @@ class Trade(_DECL_BASE, LocalTrade):
             .group_by(Trade.pair) \
             .order_by(desc('profit_sum')).first()
         return best_pair
+
+    @staticmethod
+    def get_trading_volume(start_date: datetime = datetime.fromtimestamp(0)) -> float:
+        """
+        Get Trade volume based on Orders
+        NOTE: Not supported in Backtesting.
+        :returns: Tuple containing (pair, profit_sum)
+        """
+        trading_volume = Order.query.with_entities(
+            func.sum(Order.cost).label('volume')
+        ).filter(
+            Order.order_filled_date >= start_date,
+            Order.status == 'closed'
+        ).scalar()
+        return trading_volume

freqtrade/plugins/pairlist/AgeFilter.py

@@ -30,7 +30,7 @@ class AgeFilter(IPairList):
         self._symbolsCheckFailed = PeriodicCache(maxsize=1000, ttl=86_400)
 
         self._min_days_listed = pairlistconfig.get('min_days_listed', 10)
-        self._max_days_listed = pairlistconfig.get('max_days_listed', None)
+        self._max_days_listed = pairlistconfig.get('max_days_listed')
 
         candle_limit = exchange.ohlcv_candle_limit('1d', self._config['candle_type_def'])
         if self._min_days_listed < 1:

freqtrade/plugins/pairlist/PerformanceFilter.py

@@ -21,7 +21,7 @@ class PerformanceFilter(IPairList):
         super().__init__(exchange, pairlistmanager, config, pairlistconfig, pairlist_pos)
 
         self._minutes = pairlistconfig.get('minutes', 0)
-        self._min_profit = pairlistconfig.get('min_profit', None)
+        self._min_profit = pairlistconfig.get('min_profit')
 
     @property
     def needstickers(self) -> bool:

freqtrade/plugins/pairlist/rangestabilityfilter.py

@@ -27,7 +27,7 @@ class RangeStabilityFilter(IPairList):
 
         self._days = pairlistconfig.get('lookback_days', 10)
         self._min_rate_of_change = pairlistconfig.get('min_rate_of_change', 0.01)
-        self._max_rate_of_change = pairlistconfig.get('max_rate_of_change', None)
+        self._max_rate_of_change = pairlistconfig.get('max_rate_of_change')
         self._refresh_period = pairlistconfig.get('refresh_period', 1440)
         self._def_candletype = self._config['candle_type_def']
 

freqtrade/plugins/pairlistmanager.py

@@ -28,7 +28,7 @@ class PairListManager(LoggingMixin):
         self._blacklist = self._config['exchange'].get('pair_blacklist', [])
         self._pairlist_handlers: List[IPairList] = []
         self._tickers_needed = False
-        for pairlist_handler_config in self._config.get('pairlists', None):
+        for pairlist_handler_config in self._config.get('pairlists', []):
             pairlist_handler = PairListResolver.load_pairlist(
                 pairlist_handler_config['method'],
                 exchange=exchange,

freqtrade/rpc/api_server/api_backtest.py

@@ -1,6 +1,7 @@
 import asyncio
 import logging
 from copy import deepcopy
+from datetime import datetime
 from typing import Any, Dict, List
 
 from fastapi import APIRouter, BackgroundTasks, Depends
@@ -102,7 +103,10 @@ async def api_start_backtest(bt_settings: BacktestRequest, background_tasks: Bac
                     min_date=min_date, max_date=max_date)
 
             if btconfig.get('export', 'none') == 'trades':
-                store_backtest_stats(btconfig['exportfilename'], ApiServer._bt.results)
+                store_backtest_stats(
+                    btconfig['exportfilename'], ApiServer._bt.results,
+                    datetime.now().strftime("%Y-%m-%d_%H-%M-%S")
+                    )
 
             logger.info("Backtest finished.")
 

freqtrade/rpc/api_server/api_schemas.py

@@ -104,6 +104,10 @@ class Profit(BaseModel):
     best_pair_profit_ratio: float
     winning_trades: int
     losing_trades: int
+    profit_factor: float
+    max_drawdown: float
+    max_drawdown_abs: float
+    trading_volume: Optional[float]
 
 
 class SellReason(BaseModel):
@@ -120,6 +124,8 @@ class Stats(BaseModel):
 class DailyRecord(BaseModel):
     date: date
     abs_profit: float
+    rel_profit: float
+    starting_balance: float
     fiat_value: float
     trade_count: int
 
@@ -166,7 +172,7 @@ class ShowConfig(BaseModel):
     trailing_stop_positive: Optional[float]
     trailing_stop_positive_offset: Optional[float]
     trailing_only_offset_is_reached: Optional[bool]
-    unfilledtimeout: UnfilledTimeout
+    unfilledtimeout: Optional[UnfilledTimeout]  # Empty in webserver mode
     order_types: Optional[OrderTypes]
     use_custom_stoploss: Optional[bool]
     timeframe: Optional[str]
@@ -277,6 +283,7 @@ class OpenTradeSchema(TradeSchema):
 class TradeResponse(BaseModel):
     trades: List[TradeSchema]
     trades_count: int
+    offset: int
     total_trades: int
 
 

freqtrade/rpc/api_server/api_v1.py

@@ -36,7 +36,8 @@ logger = logging.getLogger(__name__)
 # versions 2.xx -> futures/short branch
 # 2.14: Add entry/exit orders to trade response
 # 2.15: Add backtest history endpoints
-API_VERSION = 2.15
+# 2.16: Additional daily metrics
+API_VERSION = 2.16
 
 # Public API, requires no auth.
 router_public = APIRouter()
@@ -86,8 +87,8 @@ def stats(rpc: RPC = Depends(get_rpc)):
 
 @router.get('/daily', response_model=Daily, tags=['info'])
 def daily(timescale: int = 7, rpc: RPC = Depends(get_rpc), config=Depends(get_config)):
-    return rpc._rpc_daily_profit(timescale, config['stake_currency'],
+    return rpc._rpc_timeunit_profit(timescale, config['stake_currency'],
-                                 config.get('fiat_display_currency', ''))
+                                    config.get('fiat_display_currency', ''))
 
 
 @router.get('/status', response_model=List[OpenTradeSchema], tags=['info'])
@@ -281,7 +282,7 @@ def get_strategy(strategy: str, config=Depends(get_config)):
 def list_available_pairs(timeframe: Optional[str] = None, stake_currency: Optional[str] = None,
                          candletype: Optional[CandleType] = None, config=Depends(get_config)):
 
-    dh = get_datahandler(config['datadir'], config.get('dataformat_ohlcv', None))
+    dh = get_datahandler(config['datadir'], config.get('dataformat_ohlcv'))
     trading_mode: TradingMode = config.get('trading_mode', TradingMode.SPOT)
     pair_interval = dh.ohlcv_get_available_data(config['datadir'], trading_mode)
 

freqtrade/rpc/discord.py

@@ -0,0 +1,59 @@
+import logging
+from typing import Any, Dict
+
+from freqtrade.enums.rpcmessagetype import RPCMessageType
+from freqtrade.rpc import RPC
+from freqtrade.rpc.webhook import Webhook
+
+
+logger = logging.getLogger(__name__)
+
+
+class Discord(Webhook):
+    def __init__(self, rpc: 'RPC', config: Dict[str, Any]):
+        # super().__init__(rpc, config)
+        self.rpc = rpc
+        self.config = config
+        self.strategy = config.get('strategy', '')
+        self.timeframe = config.get('timeframe', '')
+
+        self._url = self.config['discord']['webhook_url']
+        self._format = 'json'
+        self._retries = 1
+        self._retry_delay = 0.1
+
+    def cleanup(self) -> None:
+        """
+        Cleanup pending module resources.
+        This will do nothing for webhooks, they will simply not be called anymore
+        """
+        pass
+
+    def send_msg(self, msg) -> None:
+        logger.info(f"Sending discord message: {msg}")
+
+        if msg['type'].value in self.config['discord']:
+
+            msg['strategy'] = self.strategy
+            msg['timeframe'] = self.timeframe
+            fields = self.config['discord'].get(msg['type'].value)
+            color = 0x0000FF
+            if msg['type'] in (RPCMessageType.EXIT, RPCMessageType.EXIT_FILL):
+                profit_ratio = msg.get('profit_ratio')
+                color = (0x00FF00 if profit_ratio > 0 else 0xFF0000)
+
+            embeds = [{
+                'title': f"Trade: {msg['pair']} {msg['type'].value}",
+                'color': color,
+                'fields': [],
+
+            }]
+            for f in fields:
+                for k, v in f.items():
+                    v = v.format(**msg)
+                    embeds[0]['fields'].append(  # type: ignore
+                        {'name': k, 'value': v, 'inline': True})
+
+            # Send the message to discord channel
+            payload = {'embeds': embeds}
+            self._send_msg(payload)

freqtrade/rpc/rpc.py

@@ -18,6 +18,7 @@ from freqtrade import __version__
 from freqtrade.configuration.timerange import TimeRange
 from freqtrade.constants import CANCEL_REASON, DATETIME_PRINT_FORMAT
 from freqtrade.data.history import load_data
+from freqtrade.data.metrics import calculate_max_drawdown
 from freqtrade.enums import (CandleType, ExitCheckTuple, ExitType, SignalDirection, State,
                              TradingMode)
 from freqtrade.exceptions import ExchangeError, PricingError
@@ -96,7 +97,7 @@ class RPC:
         """
         self._freqtrade = freqtrade
         self._config: Dict[str, Any] = freqtrade.config
-        if self._config.get('fiat_display_currency', None):
+        if self._config.get('fiat_display_currency'):
             self._fiat_converter = CryptoToFiatConverter()
 
     @staticmethod
@@ -283,33 +284,57 @@ class RPC:
                 columns.append('# Entries')
             return trades_list, columns, fiat_profit_sum
 
-    def _rpc_daily_profit(
+    def _rpc_timeunit_profit(
             self, timescale: int,
-            stake_currency: str, fiat_display_currency: str) -> Dict[str, Any]:
+            stake_currency: str, fiat_display_currency: str,
-        today = datetime.now(timezone.utc).date()
+            timeunit: str = 'days') -> Dict[str, Any]:
-        profit_days: Dict[date, Dict] = {}
+        """
+        :param timeunit: Valid entries are 'days', 'weeks', 'months'
+        """
+        start_date = datetime.now(timezone.utc).date()
+        if timeunit == 'weeks':
+            # weekly
+            start_date = start_date - timedelta(days=start_date.weekday())  # Monday
+        if timeunit == 'months':
+            start_date = start_date.replace(day=1)
+
+        def time_offset(step: int):
+            if timeunit == 'months':
+                return relativedelta(months=step)
+            return timedelta(**{timeunit: step})
 
         if not (isinstance(timescale, int) and timescale > 0):
             raise RPCException('timescale must be an integer greater than 0')
 
+        profit_units: Dict[date, Dict] = {}
+        daily_stake = self._freqtrade.wallets.get_total_stake_amount()
+
         for day in range(0, timescale):
-            profitday = today - timedelta(days=day)
+            profitday = start_date - time_offset(day)
-            trades = Trade.get_trades(trade_filter=[
+            # Only query for necessary columns for performance reasons.
+            trades = Trade.query.session.query(Trade.close_profit_abs).filter(
                 Trade.is_open.is_(False),
                 Trade.close_date >= profitday,
-                Trade.close_date < (profitday + timedelta(days=1))
+                Trade.close_date < (profitday + time_offset(1))
-            ]).order_by(Trade.close_date).all()
+            ).order_by(Trade.close_date).all()
+
             curdayprofit = sum(
                 trade.close_profit_abs for trade in trades if trade.close_profit_abs is not None)
-            profit_days[profitday] = {
+            # Calculate this periods starting balance
+            daily_stake = daily_stake - curdayprofit
+            profit_units[profitday] = {
                 'amount': curdayprofit,
-                'trades': len(trades)
+                'daily_stake': daily_stake,
+                'rel_profit': round(curdayprofit / daily_stake, 8) if daily_stake > 0 else 0,
+                'trades': len(trades),
             }
 
         data = [
             {
-                'date': key,
+                'date': f"{key.year}-{key.month:02d}" if timeunit == 'months' else key,
                 'abs_profit': value["amount"],
+                'starting_balance': value["daily_stake"],
+                'rel_profit': value["rel_profit"],
                 'fiat_value': self._fiat_converter.convert_amount(
                     value['amount'],
                     stake_currency,
@@ -317,92 +342,7 @@ class RPC:
                 ) if self._fiat_converter else 0,
                 'trade_count': value["trades"],
             }
-            for key, value in profit_days.items()
+            for key, value in profit_units.items()
-        ]
-        return {
-            'stake_currency': stake_currency,
-            'fiat_display_currency': fiat_display_currency,
-            'data': data
-        }
-
-    def _rpc_weekly_profit(
-            self, timescale: int,
-            stake_currency: str, fiat_display_currency: str) -> Dict[str, Any]:
-        today = datetime.now(timezone.utc).date()
-        first_iso_day_of_week = today - timedelta(days=today.weekday())  # Monday
-        profit_weeks: Dict[date, Dict] = {}
-
-        if not (isinstance(timescale, int) and timescale > 0):
-            raise RPCException('timescale must be an integer greater than 0')
-
-        for week in range(0, timescale):
-            profitweek = first_iso_day_of_week - timedelta(weeks=week)
-            trades = Trade.get_trades(trade_filter=[
-                Trade.is_open.is_(False),
-                Trade.close_date >= profitweek,
-                Trade.close_date < (profitweek + timedelta(weeks=1))
-            ]).order_by(Trade.close_date).all()
-            curweekprofit = sum(
-                trade.close_profit_abs for trade in trades if trade.close_profit_abs is not None)
-            profit_weeks[profitweek] = {
-                'amount': curweekprofit,
-                'trades': len(trades)
-            }
-
-        data = [
-            {
-                'date': key,
-                'abs_profit': value["amount"],
-                'fiat_value': self._fiat_converter.convert_amount(
-                    value['amount'],
-                    stake_currency,
-                    fiat_display_currency
-                ) if self._fiat_converter else 0,
-                'trade_count': value["trades"],
-            }
-            for key, value in profit_weeks.items()
-        ]
-        return {
-            'stake_currency': stake_currency,
-            'fiat_display_currency': fiat_display_currency,
-            'data': data
-        }
-
-    def _rpc_monthly_profit(
-            self, timescale: int,
-            stake_currency: str, fiat_display_currency: str) -> Dict[str, Any]:
-        first_day_of_month = datetime.now(timezone.utc).date().replace(day=1)
-        profit_months: Dict[date, Dict] = {}
-
-        if not (isinstance(timescale, int) and timescale > 0):
-            raise RPCException('timescale must be an integer greater than 0')
-
-        for month in range(0, timescale):
-            profitmonth = first_day_of_month - relativedelta(months=month)
-            trades = Trade.get_trades(trade_filter=[
-                Trade.is_open.is_(False),
-                Trade.close_date >= profitmonth,
-                Trade.close_date < (profitmonth + relativedelta(months=1))
-            ]).order_by(Trade.close_date).all()
-            curmonthprofit = sum(
-                trade.close_profit_abs for trade in trades if trade.close_profit_abs is not None)
-            profit_months[profitmonth] = {
-                'amount': curmonthprofit,
-                'trades': len(trades)
-            }
-
-        data = [
-            {
-                'date': f"{key.year}-{key.month:02d}",
-                'abs_profit': value["amount"],
-                'fiat_value': self._fiat_converter.convert_amount(
-                    value['amount'],
-                    stake_currency,
-                    fiat_display_currency
-                ) if self._fiat_converter else 0,
-                'trade_count': value["trades"],
-            }
-            for key, value in profit_months.items()
         ]
         return {
             'stake_currency': stake_currency,
@@ -425,6 +365,7 @@ class RPC:
         return {
             "trades": output,
             "trades_count": len(output),
+            "offset": offset,
             "total_trades": Trade.get_trades([Trade.is_open.is_(False)]).count(),
         }
 
@@ -439,7 +380,7 @@ class RPC:
                 return 'losses'
             else:
                 return 'draws'
-        trades: List[Trade] = Trade.get_trades([Trade.is_open.is_(False)])
+        trades: List[Trade] = Trade.get_trades([Trade.is_open.is_(False)], include_orders=False)
         # Sell reason
         exit_reasons = {}
         for trade in trades:
@@ -467,7 +408,8 @@ class RPC:
         """ Returns cumulative profit statistics """
         trade_filter = ((Trade.is_open.is_(False) & (Trade.close_date >= start_date)) |
                         Trade.is_open.is_(True))
-        trades: List[Trade] = Trade.get_trades(trade_filter).order_by(Trade.id).all()
+        trades: List[Trade] = Trade.get_trades(
+            trade_filter, include_orders=False).order_by(Trade.id).all()
 
         profit_all_coin = []
         profit_all_ratio = []
@@ -476,6 +418,8 @@ class RPC:
         durations = []
         winning_trades = 0
         losing_trades = 0
+        winning_profit = 0.0
+        losing_profit = 0.0
 
         for trade in trades:
             current_rate: float = 0.0
@@ -491,8 +435,10 @@ class RPC:
                 profit_closed_ratio.append(profit_ratio)
                 if trade.close_profit >= 0:
                     winning_trades += 1
+                    winning_profit += trade.close_profit_abs
                 else:
                     losing_trades += 1
+                    losing_profit += trade.close_profit_abs
             else:
                 # Get current rate
                 try:
@@ -508,6 +454,7 @@ class RPC:
             profit_all_ratio.append(profit_ratio)
 
         best_pair = Trade.get_best_pair(start_date)
+        trading_volume = Trade.get_trading_volume(start_date)
 
         # Prepare data to display
         profit_closed_coin_sum = round(sum(profit_closed_coin), 8)
@@ -531,6 +478,21 @@ class RPC:
             profit_closed_ratio_fromstart = profit_closed_coin_sum / starting_balance
             profit_all_ratio_fromstart = profit_all_coin_sum / starting_balance
 
+        profit_factor = winning_profit / abs(losing_profit) if losing_profit else float('inf')
+
+        trades_df = DataFrame([{'close_date': trade.close_date.strftime(DATETIME_PRINT_FORMAT),
+                                'profit_abs': trade.close_profit_abs}
+                               for trade in trades if not trade.is_open])
+        max_drawdown_abs = 0.0
+        max_drawdown = 0.0
+        if len(trades_df) > 0:
+            try:
+                (max_drawdown_abs, _, _, _, _, max_drawdown) = calculate_max_drawdown(
+                    trades_df, value_col='profit_abs', starting_balance=starting_balance)
+            except ValueError:
+                # ValueError if no losing trade.
+                pass
+
         profit_all_fiat = self._fiat_converter.convert_amount(
             profit_all_coin_sum,
             stake_currency,
@@ -569,11 +531,15 @@ class RPC:
             'best_pair_profit_ratio': best_pair[1] if best_pair else 0,
             'winning_trades': winning_trades,
             'losing_trades': losing_trades,
+            'profit_factor': profit_factor,
+            'max_drawdown': max_drawdown,
+            'max_drawdown_abs': max_drawdown_abs,
+            'trading_volume': trading_volume,
         }
 
     def _rpc_balance(self, stake_currency: str, fiat_display_currency: str) -> Dict:
         """ Returns current account balance per crypto """
-        currencies = []
+        currencies: List[Dict] = []
         total = 0.0
         try:
             tickers = self._freqtrade.exchange.get_tickers(cached=True)
@@ -600,7 +566,7 @@ class RPC:
             else:
                 try:
                     pair = self._freqtrade.exchange.get_valid_pair_combination(coin, stake_currency)
-                    rate = tickers.get(pair, {}).get('last', None)
+                    rate = tickers.get(pair, {}).get('last')
                     if rate:
                         if pair.startswith(stake_currency) and not pair.endswith(stake_currency):
                             rate = 1.0 / rate
@@ -608,13 +574,12 @@ class RPC:
                 except (ExchangeError):
                     logger.warning(f" Could not get rate for pair {coin}.")
                     continue
-            total = total + (est_stake or 0)
+            total = total + est_stake
             currencies.append({
                 'currency': coin,
-                # TODO: The below can be simplified if we don't assign None to values.
+                'free': balance.free,
-                'free': balance.free if balance.free is not None else 0,
+                'balance': balance.total,
-                'balance': balance.total if balance.total is not None else 0,
+                'used': balance.used,
-                'used': balance.used if balance.used is not None else 0,
                 'est_stake': est_stake or 0,
                 'stake': stake_currency,
                 'side': 'long',
@@ -644,7 +609,6 @@ class RPC:
             total, stake_currency, fiat_display_currency) if self._fiat_converter else 0
 
         trade_count = len(Trade.get_trades_proxy())
-        starting_capital_ratio = 0.0
         starting_capital_ratio = (total / starting_capital) - 1 if starting_capital else 0.0
         starting_cap_fiat_ratio = (value / starting_cap_fiat) - 1 if starting_cap_fiat else 0.0
 
@@ -932,7 +896,7 @@ class RPC:
             else:
                 errors[pair] = {
                     'error_msg': f"Pair {pair} is not in the current blacklist."
-                    }
+                }
         resp = self._rpc_blacklist()
         resp['errors'] = errors
         return resp

freqtrade/rpc/rpc_manager.py

@@ -27,6 +27,12 @@ class RPCManager:
             from freqtrade.rpc.telegram import Telegram
             self.registered_modules.append(Telegram(self._rpc, config))
 
+        # Enable discord
+        if config.get('discord', {}).get('enabled', False):
+            logger.info('Enabling rpc.discord ...')
+            from freqtrade.rpc.discord import Discord
+            self.registered_modules.append(Discord(self._rpc, config))
+
         # Enable Webhook
         if config.get('webhook', {}).get('enabled', False):
             logger.info('Enabling rpc.webhook ...')

freqtrade/rpc/telegram.py

@@ -6,6 +6,7 @@ This module manage Telegram communication
 import json
 import logging
 import re
+from dataclasses import dataclass
 from datetime import date, datetime, timedelta
 from functools import partial
 from html import escape
@@ -37,6 +38,15 @@ logger.debug('Included module rpc.telegram ...')
 MAX_TELEGRAM_MESSAGE_LENGTH = 4096
 
 
+@dataclass
+class TimeunitMappings:
+    header: str
+    message: str
+    message2: str
+    callback: str
+    default: int
+
+
 def authorized_only(command_handler: Callable[..., None]) -> Callable[..., Any]:
     """
     Decorator to check if the message comes from the correct chat_id
@@ -225,6 +235,14 @@ class Telegram(RPCHandler):
         # This can take up to `timeout` from the call to `start_polling`.
         self._updater.stop()
 
+    def _exchange_from_msg(self, msg: Dict[str, Any]) -> str:
+        """
+        Extracts the exchange name from the given message.
+        :param msg: The message to extract the exchange name from.
+        :return: The exchange name.
+        """
+        return f"{msg['exchange']}{' (dry)' if self._config['dry_run'] else ''}"
+
     def _format_entry_msg(self, msg: Dict[str, Any]) -> str:
         if self._rpc._fiat_converter:
             msg['stake_amount_fiat'] = self._rpc._fiat_converter.convert_amount(
@@ -237,11 +255,11 @@ class Telegram(RPCHandler):
         entry_side = ({'enter': 'Long', 'entered': 'Longed'} if msg['direction'] == 'Long'
                       else {'enter': 'Short', 'entered': 'Shorted'})
         message = (
-            f"{emoji} *{msg['exchange']}:*"
+            f"{emoji} *{self._exchange_from_msg(msg)}:*"
             f" {entry_side['entered'] if is_fill else entry_side['enter']} {msg['pair']}"
             f" (#{msg['trade_id']})\n"
             )
-        message += f"*Enter Tag:* `{msg['enter_tag']}`\n" if msg.get('enter_tag', None) else ""
+        message += f"*Enter Tag:* `{msg['enter_tag']}`\n" if msg.get('enter_tag') else ""
         message += f"*Amount:* `{msg['amount']:.8f}`\n"
         if msg.get('leverage') and msg.get('leverage', 1.0) != 1.0:
             message += f"*Leverage:* `{msg['leverage']}`\n"
@@ -254,7 +272,7 @@ class Telegram(RPCHandler):
 
         message += f"*Total:* `({round_coin_value(msg['stake_amount'], msg['stake_currency'])}"
 
-        if msg.get('fiat_currency', None):
+        if msg.get('fiat_currency'):
             message += f", {round_coin_value(msg['stake_amount_fiat'], msg['fiat_currency'])}"
 
         message += ")`"
@@ -270,7 +288,7 @@ class Telegram(RPCHandler):
         msg['enter_tag'] = msg['enter_tag'] if "enter_tag" in msg.keys() else None
         msg['emoji'] = self._get_sell_emoji(msg)
         msg['leverage_text'] = (f"*Leverage:* `{msg['leverage']:.1f}`\n"
-                                if msg.get('leverage', None) and msg.get('leverage', 1.0) != 1.0
+                                if msg.get('leverage') and msg.get('leverage', 1.0) != 1.0
                                 else "")
 
         # Check if all sell properties are available.
@@ -286,7 +304,7 @@ class Telegram(RPCHandler):
             msg['profit_extra'] = ''
         is_fill = msg['type'] == RPCMessageType.EXIT_FILL
         message = (
-            f"{msg['emoji']} *{msg['exchange']}:* "
+            f"{msg['emoji']} *{self._exchange_from_msg(msg)}:* "
             f"{'Exited' if is_fill else 'Exiting'} {msg['pair']} (#{msg['trade_id']})\n"
             f"*{'Profit' if is_fill else 'Unrealized Profit'}:* "
             f"`{msg['profit_ratio']:.2%}{msg['profit_extra']}`\n"
@@ -316,33 +334,33 @@ class Telegram(RPCHandler):
 
         elif msg_type in (RPCMessageType.ENTRY_CANCEL, RPCMessageType.EXIT_CANCEL):
             msg['message_side'] = 'enter' if msg_type in [RPCMessageType.ENTRY_CANCEL] else 'exit'
-            message = ("\N{WARNING SIGN} *{exchange}:* "
+            message = (f"\N{WARNING SIGN} *{self._exchange_from_msg(msg)}:* "
-                       "Cancelling {message_side} Order for {pair} (#{trade_id}). "
+                       f"Cancelling {msg['message_side']} Order for {msg['pair']} "
-                       "Reason: {reason}.".format(**msg))
+                       f"(#{msg['trade_id']}). Reason: {msg['reason']}.")
 
         elif msg_type == RPCMessageType.PROTECTION_TRIGGER:
             message = (
-                "*Protection* triggered due to {reason}. "
+                f"*Protection* triggered due to {msg['reason']}. "
-                "`{pair}` will be locked until `{lock_end_time}`."
+                f"`{msg['pair']}` will be locked until `{msg['lock_end_time']}`."
-            ).format(**msg)
+            )
 
         elif msg_type == RPCMessageType.PROTECTION_TRIGGER_GLOBAL:
             message = (
-                "*Protection* triggered due to {reason}. "
+                f"*Protection* triggered due to {msg['reason']}. "
-                "*All pairs* will be locked until `{lock_end_time}`."
+                f"*All pairs* will be locked until `{msg['lock_end_time']}`."
-            ).format(**msg)
+            )
 
         elif msg_type == RPCMessageType.STATUS:
-            message = '*Status:* `{status}`'.format(**msg)
+            message = f"*Status:* `{msg['status']}`"
 
         elif msg_type == RPCMessageType.WARNING:
-            message = '\N{WARNING SIGN} *Warning:* `{status}`'.format(**msg)
+            message = f"\N{WARNING SIGN} *Warning:* `{msg['status']}`"
 
         elif msg_type == RPCMessageType.STARTUP:
-            message = '{status}'.format(**msg)
+            message = f"{msg['status']}"
 
         else:
-            raise NotImplementedError('Unknown message type: {}'.format(msg_type))
+            raise NotImplementedError(f"Unknown message type: {msg_type}")
         return message
 
     def send_msg(self, msg: Dict[str, Any]) -> None:
@@ -396,7 +414,7 @@ class Telegram(RPCHandler):
             first_avg = filled_orders[0]["safe_price"]
 
         for x, order in enumerate(filled_orders):
-            if not order['ft_is_entry']:
+            if not order['ft_is_entry'] or order['is_open'] is True:
                 continue
             cur_entry_datetime = arrow.get(order["order_filled_date"])
             cur_entry_amount = order["amount"]
@@ -563,6 +581,60 @@ class Telegram(RPCHandler):
         except RPCException as e:
             self._send_msg(str(e))
 
+    @authorized_only
+    def _timeunit_stats(self, update: Update, context: CallbackContext, unit: str) -> None:
+        """
+        Handler for /daily <n>
+        Returns a daily profit (in BTC) over the last n days.
+        :param bot: telegram bot
+        :param update: message update
+        :return: None
+        """
+
+        vals = {
+            'days': TimeunitMappings('Day', 'Daily', 'days', 'update_daily', 7),
+            'weeks': TimeunitMappings('Monday', 'Weekly', 'weeks (starting from Monday)',
+                                      'update_weekly', 8),
+            'months': TimeunitMappings('Month', 'Monthly', 'months', 'update_monthly', 6),
+        }
+        val = vals[unit]
+
+        stake_cur = self._config['stake_currency']
+        fiat_disp_cur = self._config.get('fiat_display_currency', '')
+        try:
+            timescale = int(context.args[0]) if context.args else val.default
+        except (TypeError, ValueError, IndexError):
+            timescale = val.default
+        try:
+            stats = self._rpc._rpc_timeunit_profit(
+                timescale,
+                stake_cur,
+                fiat_disp_cur,
+                unit
+            )
+            stats_tab = tabulate(
+                [[f"{period['date']} ({period['trade_count']})",
+                  f"{round_coin_value(period['abs_profit'], stats['stake_currency'])}",
+                  f"{period['fiat_value']:.2f} {stats['fiat_display_currency']}",
+                  f"{period['rel_profit']:.2%}",
+                  ] for period in stats['data']],
+                headers=[
+                    f"{val.header} (count)",
+                    f'{stake_cur}',
+                    f'{fiat_disp_cur}',
+                    'Profit %',
+                    'Trades',
+                ],
+                tablefmt='simple')
+            message = (
+                f'<b>{val.message} Profit over the last {timescale} {val.message2}</b>:\n'
+                f'<pre>{stats_tab}</pre>'
+            )
+            self._send_msg(message, parse_mode=ParseMode.HTML, reload_able=True,
+                           callback_path=val.callback, query=update.callback_query)
+        except RPCException as e:
+            self._send_msg(str(e))
+
     @authorized_only
     def _daily(self, update: Update, context: CallbackContext) -> None:
         """
@@ -572,35 +644,7 @@ class Telegram(RPCHandler):
         :param update: message update
         :return: None
         """
-        stake_cur = self._config['stake_currency']
+        self._timeunit_stats(update, context, 'days')
-        fiat_disp_cur = self._config.get('fiat_display_currency', '')
-        try:
-            timescale = int(context.args[0]) if context.args else 7
-        except (TypeError, ValueError, IndexError):
-            timescale = 7
-        try:
-            stats = self._rpc._rpc_daily_profit(
-                timescale,
-                stake_cur,
-                fiat_disp_cur
-            )
-            stats_tab = tabulate(
-                [[day['date'],
-                  f"{round_coin_value(day['abs_profit'], stats['stake_currency'])}",
-                  f"{day['fiat_value']:.3f} {stats['fiat_display_currency']}",
-                  f"{day['trade_count']} trades"] for day in stats['data']],
-                headers=[
-                    'Day',
-                    f'Profit {stake_cur}',
-                    f'Profit {fiat_disp_cur}',
-                    'Trades',
-                ],
-                tablefmt='simple')
-            message = f'<b>Daily Profit over the last {timescale} days</b>:\n<pre>{stats_tab}</pre>'
-            self._send_msg(message, parse_mode=ParseMode.HTML, reload_able=True,
-                           callback_path="update_daily", query=update.callback_query)
-        except RPCException as e:
-            self._send_msg(str(e))
 
     @authorized_only
     def _weekly(self, update: Update, context: CallbackContext) -> None:
@@ -611,36 +655,7 @@ class Telegram(RPCHandler):
         :param update: message update
         :return: None
         """
-        stake_cur = self._config['stake_currency']
+        self._timeunit_stats(update, context, 'weeks')
-        fiat_disp_cur = self._config.get('fiat_display_currency', '')
-        try:
-            timescale = int(context.args[0]) if context.args else 8
-        except (TypeError, ValueError, IndexError):
-            timescale = 8
-        try:
-            stats = self._rpc._rpc_weekly_profit(
-                timescale,
-                stake_cur,
-                fiat_disp_cur
-            )
-            stats_tab = tabulate(
-                [[week['date'],
-                  f"{round_coin_value(week['abs_profit'], stats['stake_currency'])}",
-                  f"{week['fiat_value']:.3f} {stats['fiat_display_currency']}",
-                  f"{week['trade_count']} trades"] for week in stats['data']],
-                headers=[
-                    'Monday',
-                    f'Profit {stake_cur}',
-                    f'Profit {fiat_disp_cur}',
-                    'Trades',
-                ],
-                tablefmt='simple')
-            message = f'<b>Weekly Profit over the last {timescale} weeks ' \
-                      f'(starting from Monday)</b>:\n<pre>{stats_tab}</pre> '
-            self._send_msg(message, parse_mode=ParseMode.HTML, reload_able=True,
-                           callback_path="update_weekly", query=update.callback_query)
-        except RPCException as e:
-            self._send_msg(str(e))
 
     @authorized_only
     def _monthly(self, update: Update, context: CallbackContext) -> None:
@@ -651,36 +666,7 @@ class Telegram(RPCHandler):
         :param update: message update
         :return: None
         """
-        stake_cur = self._config['stake_currency']
+        self._timeunit_stats(update, context, 'months')
-        fiat_disp_cur = self._config.get('fiat_display_currency', '')
-        try:
-            timescale = int(context.args[0]) if context.args else 6
-        except (TypeError, ValueError, IndexError):
-            timescale = 6
-        try:
-            stats = self._rpc._rpc_monthly_profit(
-                timescale,
-                stake_cur,
-                fiat_disp_cur
-            )
-            stats_tab = tabulate(
-                [[month['date'],
-                  f"{round_coin_value(month['abs_profit'], stats['stake_currency'])}",
-                  f"{month['fiat_value']:.3f} {stats['fiat_display_currency']}",
-                  f"{month['trade_count']} trades"] for month in stats['data']],
-                headers=[
-                    'Month',
-                    f'Profit {stake_cur}',
-                    f'Profit {fiat_disp_cur}',
-                    'Trades',
-                ],
-                tablefmt='simple')
-            message = f'<b>Monthly Profit over the last {timescale} months' \
-                      f'</b>:\n<pre>{stats_tab}</pre> '
-            self._send_msg(message, parse_mode=ParseMode.HTML, reload_able=True,
-                           callback_path="update_monthly", query=update.callback_query)
-        except RPCException as e:
-            self._send_msg(str(e))
 
     @authorized_only
     def _profit(self, update: Update, context: CallbackContext) -> None:
@@ -744,12 +730,18 @@ class Telegram(RPCHandler):
                 f"*Total Trade Count:* `{trade_count}`\n"
                 f"*{'First Trade opened' if not timescale else 'Showing Profit since'}:* "
                 f"`{first_trade_date}`\n"
-                f"*Latest Trade opened:* `{latest_trade_date}\n`"
+                f"*Latest Trade opened:* `{latest_trade_date}`\n"
                 f"*Win / Loss:* `{stats['winning_trades']} / {stats['losing_trades']}`"
             )
             if stats['closed_trade_count'] > 0:
-                markdown_msg += (f"\n*Avg. Duration:* `{avg_duration}`\n"
+                markdown_msg += (
-                                 f"*Best Performing:* `{best_pair}: {best_pair_profit_ratio:.2%}`")
+                    f"\n*Avg. Duration:* `{avg_duration}`\n"
+                    f"*Best Performing:* `{best_pair}: {best_pair_profit_ratio:.2%}`\n"
+                    f"*Trading volume:* `{round_coin_value(stats['trading_volume'], stake_cur)}`\n"
+                    f"*Profit factor:* `{stats['profit_factor']:.2f}`\n"
+                    f"*Max Drawdown:* `{stats['max_drawdown']:.2%} "
+                    f"({round_coin_value(stats['max_drawdown_abs'], stake_cur)})`"
+                )
         self._send_msg(markdown_msg, reload_able=True, callback_path="update_profit",
                        query=update.callback_query)
 
@@ -889,7 +881,7 @@ class Telegram(RPCHandler):
         :return: None
         """
         msg = self._rpc._rpc_start()
-        self._send_msg('Status: `{status}`'.format(**msg))
+        self._send_msg(f"Status: `{msg['status']}`")
 
     @authorized_only
     def _stop(self, update: Update, context: CallbackContext) -> None:
@@ -901,7 +893,7 @@ class Telegram(RPCHandler):
         :return: None
         """
         msg = self._rpc._rpc_stop()
-        self._send_msg('Status: `{status}`'.format(**msg))
+        self._send_msg(f"Status: `{msg['status']}`")
 
     @authorized_only
     def _reload_config(self, update: Update, context: CallbackContext) -> None:
@@ -913,7 +905,7 @@ class Telegram(RPCHandler):
         :return: None
         """
         msg = self._rpc._rpc_reload_config()
-        self._send_msg('Status: `{status}`'.format(**msg))
+        self._send_msg(f"Status: `{msg['status']}`")
 
     @authorized_only
     def _stopbuy(self, update: Update, context: CallbackContext) -> None:
@@ -925,7 +917,7 @@ class Telegram(RPCHandler):
         :return: None
         """
         msg = self._rpc._rpc_stopbuy()
-        self._send_msg('Status: `{status}`'.format(**msg))
+        self._send_msg(f"Status: `{msg['status']}`")
 
     @authorized_only
     def _force_exit(self, update: Update, context: CallbackContext) -> None:
@@ -1087,9 +1079,9 @@ class Telegram(RPCHandler):
             trade_id = int(context.args[0])
             msg = self._rpc._rpc_delete(trade_id)
             self._send_msg((
-                '`{result_msg}`\n'
+                f"`{msg['result_msg']}`\n"
                 'Please make sure to take care of this asset on the exchange manually.'
-            ).format(**msg))
+            ))
 
         except RPCException as e:
             self._send_msg(str(e))
@@ -1417,7 +1409,7 @@ class Telegram(RPCHandler):
             "*/stopbuy:* `Stops buying, but handles open trades gracefully` \n"
             "*/forceexit <trade_id>|all:* `Instantly exits the given trade or all trades, "
             "regardless of profit`\n"
-            "*/fe <trade_id>|all:* `Alias to /forceexit`\n"
+            "*/fx <trade_id>|all:* `Alias to /forceexit`\n"
             f"{force_enter_text if self._config.get('force_entry_enable', False) else ''}"
             "*/delete <trade_id>:* `Instantly delete the given trade in the database`\n"
             "*/whitelist:* `Show current whitelist` \n"

freqtrade/rpc/webhook.py

@@ -45,21 +45,21 @@ class Webhook(RPCHandler):
         try:
             whconfig = self._config['webhook']
             if msg['type'] in [RPCMessageType.ENTRY]:
-                valuedict = whconfig.get('webhookentry', None)
+                valuedict = whconfig.get('webhookentry')
             elif msg['type'] in [RPCMessageType.ENTRY_CANCEL]:
-                valuedict = whconfig.get('webhookentrycancel', None)
+                valuedict = whconfig.get('webhookentrycancel')
             elif msg['type'] in [RPCMessageType.ENTRY_FILL]:
-                valuedict = whconfig.get('webhookentryfill', None)
+                valuedict = whconfig.get('webhookentryfill')
             elif msg['type'] == RPCMessageType.EXIT:
-                valuedict = whconfig.get('webhookexit', None)
+                valuedict = whconfig.get('webhookexit')
             elif msg['type'] == RPCMessageType.EXIT_FILL:
-                valuedict = whconfig.get('webhookexitfill', None)
+                valuedict = whconfig.get('webhookexitfill')
             elif msg['type'] == RPCMessageType.EXIT_CANCEL:
-                valuedict = whconfig.get('webhookexitcancel', None)
+                valuedict = whconfig.get('webhookexitcancel')
             elif msg['type'] in (RPCMessageType.STATUS,
                                  RPCMessageType.STARTUP,
                                  RPCMessageType.WARNING):
-                valuedict = whconfig.get('webhookstatus', None)
+                valuedict = whconfig.get('webhookstatus')
             else:
                 raise NotImplementedError('Unknown message type: {}'.format(msg['type']))
             if not valuedict:

freqtrade/strategy/interface.py

@@ -289,6 +289,7 @@ class IStrategy(ABC, HyperStrategyMixin):
         :param order_type: Order type (as configured in order_types). usually limit or market.
         :param amount: Amount in target (base) currency that's going to be traded.
         :param rate: Rate that's going to be used when using limit orders
+                     or current rate for market orders.
         :param time_in_force: Time in force. Defaults to GTC (Good-til-cancelled).
         :param current_time: datetime object, containing the current datetime
         :param entry_tag: Optional entry_tag (buy_tag) if provided with the buy signal.
@@ -316,6 +317,7 @@ class IStrategy(ABC, HyperStrategyMixin):
         :param order_type: Order type (as configured in order_types). usually limit or market.
         :param amount: Amount in base currency.
         :param rate: Rate that's going to be used when using limit orders
+                     or current rate for market orders.
         :param time_in_force: Time in force. Defaults to GTC (Good-til-cancelled).
         :param exit_reason: Exit reason.
             Can be any of ['roi', 'stop_loss', 'stoploss_on_exchange', 'trailing_stop_loss',
@@ -509,8 +511,8 @@ class IStrategy(ABC, HyperStrategyMixin):
         return current_order_rate
 
     def leverage(self, pair: str, current_time: datetime, current_rate: float,
-                 proposed_leverage: float, max_leverage: float, side: str,
+                 proposed_leverage: float, max_leverage: float, entry_tag: Optional[str],
-                 **kwargs) -> float:
+                 side: str, **kwargs) -> float:
         """
         Customize leverage for each new trade. This method is only called in futures mode.
 
@@ -519,6 +521,7 @@ class IStrategy(ABC, HyperStrategyMixin):
         :param current_rate: Rate, calculated based on pricing settings in exit_pricing.
         :param proposed_leverage: A leverage proposed by the bot.
         :param max_leverage: Max leverage allowed on this pair
+        :param entry_tag: Optional entry_tag (buy_tag) if provided with the buy signal.
         :param side: 'long' or 'short' - indicating the direction of the proposed trade
         :return: A leverage amount, which is between 1.0 and max_leverage.
         """

freqtrade/templates/subtemplates/strategy_methods_advanced.j2

@@ -161,6 +161,7 @@ def confirm_trade_entry(self, pair: str, order_type: str, amount: float, rate: f
     :param order_type: Order type (as configured in order_types). usually limit or market.
     :param amount: Amount in target (base) currency that's going to be traded.
     :param rate: Rate that's going to be used when using limit orders
+                 or current rate for market orders.
     :param time_in_force: Time in force. Defaults to GTC (Good-til-cancelled).
     :param current_time: datetime object, containing the current datetime
     :param entry_tag: Optional entry_tag (buy_tag) if provided with the buy signal.
@@ -188,6 +189,7 @@ def confirm_trade_exit(self, pair: str, trade: 'Trade', order_type: str, amount:
     :param order_type: Order type (as configured in order_types). usually limit or market.
     :param amount: Amount in base currency.
     :param rate: Rate that's going to be used when using limit orders
+                 or current rate for market orders.
     :param time_in_force: Time in force. Defaults to GTC (Good-til-cancelled).
     :param exit_reason: Exit reason.
         Can be any of ['roi', 'stop_loss', 'stoploss_on_exchange', 'trailing_stop_loss',
@@ -267,8 +269,8 @@ def adjust_trade_position(self, trade: 'Trade', current_time: 'datetime',
     return None
 
 def leverage(self, pair: str, current_time: datetime, current_rate: float,
-                proposed_leverage: float, max_leverage: float, side: str,
+             proposed_leverage: float, max_leverage: float, entry_tag: Optional[str],
-                **kwargs) -> float:
+             side: str, **kwargs) -> float:
     """
     Customize leverage for each new trade. This method is only called in futures mode.
 
@@ -277,6 +279,7 @@ def leverage(self, pair: str, current_time: datetime, current_rate: float,
     :param current_rate: Rate, calculated based on pricing settings in exit_pricing.
     :param proposed_leverage: A leverage proposed by the bot.
     :param max_leverage: Max leverage allowed on this pair
+    :param entry_tag: Optional entry_tag (buy_tag) if provided with the buy signal.
     :param side: 'long' or 'short' - indicating the direction of the proposed trade
     :return: A leverage amount, which is between 1.0 and max_leverage.
     """

freqtrade/wallets.py

@@ -131,9 +131,9 @@ class Wallets:
             if isinstance(balances[currency], dict):
                 self._wallets[currency] = Wallet(
                     currency,
-                    balances[currency].get('free', None),
+                    balances[currency].get('free'),
-                    balances[currency].get('used', None),
+                    balances[currency].get('used'),
-                    balances[currency].get('total', None)
+                    balances[currency].get('total')
                 )
         # Remove currencies no longer in get_balances output
         for currency in deepcopy(self._wallets):

requirements-dev.txt

@@ -7,23 +7,23 @@
 coveralls==3.3.1
 flake8==4.0.1
 flake8-tidy-imports==4.8.0
-mypy==0.960
+mypy==0.961
 pre-commit==2.19.0
 pytest==7.1.2
 pytest-asyncio==0.18.3
 pytest-cov==3.0.0
-pytest-mock==3.7.0
+pytest-mock==3.8.1
 pytest-random-order==1.0.4
 isort==5.10.1
 # For datetime mocking
-time-machine==2.7.0
+time-machine==2.7.1
 
 # Convert jupyter notebooks to markdown documents
 nbconvert==6.5.0
 
 # mypy types
-types-cachetools==5.0.1
+types-cachetools==5.2.1
-types-filelock==3.2.6
+types-filelock==3.2.7
-types-requests==2.27.29
+types-requests==2.28.0
-types-tabulate==0.8.9
+types-tabulate==0.8.11
-types-python-dateutil==2.8.17
+types-python-dateutil==2.8.18

requirements-hyperopt.txt

@@ -5,5 +5,5 @@
 scipy==1.8.1
 scikit-learn==1.1.1
 scikit-optimize==0.9.0
-filelock==3.7.0
+filelock==3.7.1
 progressbar2==4.0.0

requirements-plot.txt

@@ -1,4 +1,4 @@
 # Include all requirements to run the bot.
 -r requirements.txt
 
-plotly==5.8.0
+plotly==5.9.0

requirements.txt

@@ -1,21 +1,21 @@
-numpy==1.22.4
+numpy==1.23.0
-pandas==1.4.2
+pandas==1.4.3
 pandas-ta==0.3.14b
 
-ccxt==1.84.39
+ccxt==1.89.14
 # Pin cryptography for now due to rust build errors with piwheels
 cryptography==37.0.2
 aiohttp==3.8.1
-SQLAlchemy==1.4.36
+SQLAlchemy==1.4.39
 python-telegram-bot==13.12
 arrow==1.2.2
 cachetools==4.2.2
-requests==2.27.1
+requests==2.28.0
 urllib3==1.26.9
-jsonschema==4.5.1
+jsonschema==4.6.0
 TA-Lib==0.4.24
 technical==1.3.0
-tabulate==0.8.9
+tabulate==0.8.10
 pycoingecko==2.2.0
 jinja2==3.1.2
 tables==3.7.0
@@ -28,20 +28,20 @@ py_find_1st==1.1.5
 # Load ticker files 30% faster
 python-rapidjson==1.6
 # Properly format api responses
-orjson==3.6.8
+orjson==3.7.3
 
 # Notify systemd
 sdnotify==0.3.2
 
 # API Server
 fastapi==0.78.0
-uvicorn==0.17.6
+uvicorn==0.18.1
 pyjwt==2.4.0
 aiofiles==0.8.0
 psutil==5.9.1
 
 # Support for colorized terminal output
-colorama==0.4.4
+colorama==0.4.5
 # Building config files interactively
 questionary==1.10.0
 prompt-toolkit==3.0.29

scripts/rest_client.py

@@ -261,7 +261,7 @@ class FtRestClient():
                 }
         return self._post("forcebuy", data=data)
 
-    def force_enter(self, pair, side, price=None):
+    def forceenter(self, pair, side, price=None):
         """Force entering a trade
 
         :param pair: Pair to buy (ETH/BTC)
@@ -273,7 +273,7 @@ class FtRestClient():
                 "side": side,
                 "price": price,
                 }
-        return self._post("force_enter", data=data)
+        return self._post("forceenter", data=data)
 
     def forceexit(self, tradeid):
         """Force-exit a trade.

setup.sh

@@ -87,6 +87,10 @@ function updateenv() {
         echo "Failed installing Freqtrade"
         exit 1
     fi
+
+    echo "Installing freqUI"
+    freqtrade install-ui
+
     echo "pip install completed"
     echo
     if [[ $dev =~ ^[Yy]$ ]]; then

tests/conftest.py

@@ -78,9 +78,21 @@ def get_args(args):
 
 
 # Source: https://stackoverflow.com/questions/29881236/how-to-mock-asyncio-coroutines
-def get_mock_coro(return_value):
+# TODO: This should be replaced with AsyncMock once support for python 3.7 is dropped.
+def get_mock_coro(return_value=None, side_effect=None):
     async def mock_coro(*args, **kwargs):
-        return return_value
+        if side_effect:
+            if isinstance(side_effect, list):
+                effect = side_effect.pop(0)
+            else:
+                effect = side_effect
+            if isinstance(effect, Exception):
+                raise effect
+            if callable(effect):
+                return effect(*args, **kwargs)
+            return effect
+        else:
+            return return_value
 
     return Mock(wraps=mock_coro)
 
@@ -325,7 +337,7 @@ def create_mock_trades_with_leverage(fee, use_db: bool = True):
         Trade.query.session.flush()
 
 
-def create_mock_trades_usdt(fee, use_db: bool = True):
+def create_mock_trades_usdt(fee, is_short: Optional[bool] = False, use_db: bool = True):
     """
     Create some fake trades ...
     """
@@ -335,26 +347,29 @@ def create_mock_trades_usdt(fee, use_db: bool = True):
         else:
             LocalTrade.add_bt_trade(trade)
 
+    is_short1 = is_short if is_short is not None else True
+    is_short2 = is_short if is_short is not None else False
+
     # Simulate dry_run entries
-    trade = mock_trade_usdt_1(fee)
+    trade = mock_trade_usdt_1(fee, is_short1)
     add_trade(trade)
 
-    trade = mock_trade_usdt_2(fee)
+    trade = mock_trade_usdt_2(fee, is_short1)
     add_trade(trade)
 
-    trade = mock_trade_usdt_3(fee)
+    trade = mock_trade_usdt_3(fee, is_short1)
     add_trade(trade)
 
-    trade = mock_trade_usdt_4(fee)
+    trade = mock_trade_usdt_4(fee, is_short2)
     add_trade(trade)
 
-    trade = mock_trade_usdt_5(fee)
+    trade = mock_trade_usdt_5(fee, is_short2)
     add_trade(trade)
 
-    trade = mock_trade_usdt_6(fee)
+    trade = mock_trade_usdt_6(fee, is_short1)
     add_trade(trade)
 
-    trade = mock_trade_usdt_7(fee)
+    trade = mock_trade_usdt_7(fee, is_short1)
     add_trade(trade)
     if use_db:
         Trade.commit()

tests/conftest_trades.py

@@ -29,6 +29,7 @@ def mock_order_1(is_short: bool):
         'average': 0.123,
         'amount': 123.0,
         'filled': 123.0,
+        'cost': 15.129,
         'remaining': 0.0,
     }
 
@@ -65,6 +66,7 @@ def mock_order_2(is_short: bool):
         'price': 0.123,
         'amount': 123.0,
         'filled': 123.0,
+        'cost': 15.129,
         'remaining': 0.0,
     }
 
@@ -79,6 +81,7 @@ def mock_order_2_sell(is_short: bool):
         'price': 0.128,
         'amount': 123.0,
         'filled': 123.0,
+        'cost': 15.129,
         'remaining': 0.0,
     }
 
@@ -126,6 +129,7 @@ def mock_order_3(is_short: bool):
         'price': 0.05,
         'amount': 123.0,
         'filled': 123.0,
+        'cost': 15.129,
         'remaining': 0.0,
     }
 
@@ -141,6 +145,7 @@ def mock_order_3_sell(is_short: bool):
         'average': 0.06,
         'amount': 123.0,
         'filled': 123.0,
+        'cost': 15.129,
         'remaining': 0.0,
     }
 
@@ -186,6 +191,7 @@ def mock_order_4(is_short: bool):
         'price': 0.123,
         'amount': 123.0,
         'filled': 0.0,
+        'cost': 15.129,
         'remaining': 123.0,
     }
 
@@ -225,6 +231,7 @@ def mock_order_5(is_short: bool):
         'price': 0.123,
         'amount': 123.0,
         'filled': 123.0,
+        'cost': 15.129,
         'remaining': 0.0,
     }
 
@@ -239,6 +246,7 @@ def mock_order_5_stoploss(is_short: bool):
         'price': 0.123,
         'amount': 123.0,
         'filled': 0.0,
+        'cost': 0.0,
         'remaining': 123.0,
     }
 
@@ -281,6 +289,7 @@ def mock_order_6(is_short: bool):
         'price': 0.15,
         'amount': 2.0,
         'filled': 2.0,
+        'cost': 0.3,
         'remaining': 0.0,
     }
 
@@ -295,6 +304,7 @@ def mock_order_6_sell(is_short: bool):
         'price': 0.15 if is_short else 0.20,
         'amount': 2.0,
         'filled': 0.0,
+        'cost': 0.0,
         'remaining': 2.0,
     }
 
@@ -337,6 +347,7 @@ def short_order():
         'price': 0.123,
         'amount': 123.0,
         'filled': 123.0,
+        'cost': 15.129,
         'remaining': 0.0,
     }
 
@@ -351,6 +362,7 @@ def exit_short_order():
         'price': 0.128,
         'amount': 123.0,
         'filled': 123.0,
+        'cost': 15.744,
         'remaining': 0.0,
     }
 
@@ -424,6 +436,7 @@ def leverage_order():
         'amount': 123.0,
         'filled': 123.0,
         'remaining': 0.0,
+        'cost': 15.129,
         'leverage': 5.0
     }
 
@@ -439,6 +452,7 @@ def leverage_order_sell():
         'amount': 123.0,
         'filled': 123.0,
         'remaining': 0.0,
+        'cost': 15.744,
         'leverage': 5.0
     }
 

tests/conftest_trades_usdt.py

@@ -6,47 +6,84 @@ from freqtrade.persistence.models import Order, Trade
 MOCK_TRADE_COUNT = 6
 
 
-def mock_order_usdt_1():
+def entry_side(is_short: bool):
+    return "sell" if is_short else "buy"
+
+
+def exit_side(is_short: bool):
+    return "buy" if is_short else "sell"
+
+
+def direc(is_short: bool):
+    return "short" if is_short else "long"
+
+
+def mock_order_usdt_1(is_short: bool):
     return {
-        'id': '1234',
+        'id': f'prod_entry_1_{direc(is_short)}',
-        'symbol': 'ADA/USDT',
+        'symbol': 'LTC/USDT',
         'status': 'closed',
-        'side': 'buy',
+        'side': entry_side(is_short),
         'type': 'limit',
-        'price': 2.0,
+        'price': 10.0,
-        'amount': 10.0,
+        'amount': 2.0,
-        'filled': 10.0,
+        'filled': 2.0,
         'remaining': 0.0,
     }
 
 
-def mock_trade_usdt_1(fee):
+def mock_order_usdt_1_exit(is_short: bool):
+    return {
+        'id': f'prod_exit_1_{direc(is_short)}',
+        'symbol': 'LTC/USDT',
+        'status': 'closed',
+        'side': exit_side(is_short),
+        'type': 'limit',
+        'price': 8.0,
+        'amount': 2.0,
+        'filled': 2.0,
+        'remaining': 0.0,
+    }
+
+
+def mock_trade_usdt_1(fee, is_short: bool):
+    """
+    Simulate prod entry with open sell order
+    """
     trade = Trade(
-        pair='ADA/USDT',
+        pair='LTC/USDT',
         stake_amount=20.0,
-        amount=10.0,
+        amount=2.0,
-        amount_requested=10.0,
+        amount_requested=2.0,
+        open_date=datetime.now(tz=timezone.utc) - timedelta(days=2, minutes=20),
+        close_date=datetime.now(tz=timezone.utc) - timedelta(days=2, minutes=5),
         fee_open=fee.return_value,
         fee_close=fee.return_value,
-        is_open=True,
+        is_open=False,
-        open_date=datetime.now(tz=timezone.utc) - timedelta(minutes=17),
+        open_rate=10.0,
-        open_rate=2.0,
+        close_rate=8.0,
+        close_profit=-0.2,
+        close_profit_abs=-4.0,
         exchange='binance',
-        open_order_id='dry_run_buy_12345',
+        strategy='SampleStrategy',
-        strategy='StrategyTestV2',
+        open_order_id=f'prod_exit_1_{direc(is_short)}',
         timeframe=5,
+        is_short=is_short,
     )
-    o = Order.parse_from_ccxt_object(mock_order_usdt_1(), 'ADA/USDT', 'buy')
+    o = Order.parse_from_ccxt_object(mock_order_usdt_1(is_short), 'LTC/USDT', entry_side(is_short))
+    trade.orders.append(o)
+    o = Order.parse_from_ccxt_object(mock_order_usdt_1_exit(is_short),
+                                     'LTC/USDT', exit_side(is_short))
     trade.orders.append(o)
     return trade
 
 
-def mock_order_usdt_2():
+def mock_order_usdt_2(is_short: bool):
     return {
-        'id': '1235',
+        'id': f'1235_{direc(is_short)}',
         'symbol': 'ETC/USDT',
         'status': 'closed',
-        'side': 'buy',
+        'side': entry_side(is_short),
         'type': 'limit',
         'price': 2.0,
         'amount': 100.0,
@@ -55,12 +92,12 @@ def mock_order_usdt_2():
     }
 
 
-def mock_order_usdt_2_sell():
+def mock_order_usdt_2_exit(is_short: bool):
     return {
-        'id': '12366',
+        'id': f'12366_{direc(is_short)}',
         'symbol': 'ETC/USDT',
         'status': 'closed',
-        'side': 'sell',
+        'side': exit_side(is_short),
         'type': 'limit',
         'price': 2.05,
         'amount': 100.0,
@@ -69,7 +106,7 @@ def mock_order_usdt_2_sell():
     }
 
 
-def mock_trade_usdt_2(fee):
+def mock_trade_usdt_2(fee, is_short: bool):
     """
     Closed trade...
     """
@@ -82,30 +119,33 @@ def mock_trade_usdt_2(fee):
         fee_close=fee.return_value,
         open_rate=2.0,
         close_rate=2.05,
-        close_profit=5.0,
+        close_profit=0.05,
         close_profit_abs=3.9875,
         exchange='binance',
         is_open=False,
-        open_order_id='dry_run_sell_12345',
+        open_order_id=f'12366_{direc(is_short)}',
         strategy='StrategyTestV2',
         timeframe=5,
-        exit_reason='sell_signal',
+        enter_tag='TEST1',
+        exit_reason='exit_signal',
         open_date=datetime.now(tz=timezone.utc) - timedelta(minutes=20),
         close_date=datetime.now(tz=timezone.utc) - timedelta(minutes=2),
+        is_short=is_short,
     )
-    o = Order.parse_from_ccxt_object(mock_order_usdt_2(), 'ETC/USDT', 'buy')
+    o = Order.parse_from_ccxt_object(mock_order_usdt_2(is_short), 'ETC/USDT', entry_side(is_short))
     trade.orders.append(o)
-    o = Order.parse_from_ccxt_object(mock_order_usdt_2_sell(), 'ETC/USDT', 'sell')
+    o = Order.parse_from_ccxt_object(
+        mock_order_usdt_2_exit(is_short), 'ETC/USDT', exit_side(is_short))
     trade.orders.append(o)
     return trade
 
 
-def mock_order_usdt_3():
+def mock_order_usdt_3(is_short: bool):
     return {
-        'id': '41231a12a',
+        'id': f'41231a12a_{direc(is_short)}',
         'symbol': 'XRP/USDT',
         'status': 'closed',
-        'side': 'buy',
+        'side': entry_side(is_short),
         'type': 'limit',
         'price': 1.0,
         'amount': 30.0,
@@ -114,12 +154,12 @@ def mock_order_usdt_3():
     }
 
 
-def mock_order_usdt_3_sell():
+def mock_order_usdt_3_exit(is_short: bool):
     return {
-        'id': '41231a666a',
+        'id': f'41231a666a_{direc(is_short)}',
         'symbol': 'XRP/USDT',
         'status': 'closed',
-        'side': 'sell',
+        'side': exit_side(is_short),
         'type': 'stop_loss_limit',
         'price': 1.1,
         'average': 1.1,
@@ -129,7 +169,7 @@ def mock_order_usdt_3_sell():
     }
 
 
-def mock_trade_usdt_3(fee):
+def mock_trade_usdt_3(fee, is_short: bool):
     """
     Closed trade
     """
@@ -142,29 +182,32 @@ def mock_trade_usdt_3(fee):
         fee_close=fee.return_value,
         open_rate=1.0,
         close_rate=1.1,
-        close_profit=10.0,
+        close_profit=0.1,
         close_profit_abs=9.8425,
         exchange='binance',
         is_open=False,
         strategy='StrategyTestV2',
         timeframe=5,
+        enter_tag='TEST3',
         exit_reason='roi',
         open_date=datetime.now(tz=timezone.utc) - timedelta(minutes=20),
         close_date=datetime.now(tz=timezone.utc),
+        is_short=is_short,
     )
-    o = Order.parse_from_ccxt_object(mock_order_usdt_3(), 'XRP/USDT', 'buy')
+    o = Order.parse_from_ccxt_object(mock_order_usdt_3(is_short), 'XRP/USDT', entry_side(is_short))
     trade.orders.append(o)
-    o = Order.parse_from_ccxt_object(mock_order_usdt_3_sell(), 'XRP/USDT', 'sell')
+    o = Order.parse_from_ccxt_object(mock_order_usdt_3_exit(is_short),
+                                     'XRP/USDT', exit_side(is_short))
     trade.orders.append(o)
     return trade
 
 
-def mock_order_usdt_4():
+def mock_order_usdt_4(is_short: bool):
     return {
-        'id': 'prod_buy_12345',
+        'id': f'prod_buy_12345_{direc(is_short)}',
         'symbol': 'ETC/USDT',
         'status': 'open',
-        'side': 'buy',
+        'side': entry_side(is_short),
         'type': 'limit',
         'price': 2.0,
         'amount': 10.0,
@@ -173,7 +216,7 @@ def mock_order_usdt_4():
     }
 
 
-def mock_trade_usdt_4(fee):
+def mock_trade_usdt_4(fee, is_short: bool):
     """
     Simulate prod entry
     """
@@ -188,21 +231,22 @@ def mock_trade_usdt_4(fee):
         is_open=True,
         open_rate=2.0,
         exchange='binance',
-        open_order_id='prod_buy_12345',
+        open_order_id=f'prod_buy_12345_{direc(is_short)}',
         strategy='StrategyTestV2',
         timeframe=5,
+        is_short=is_short,
     )
-    o = Order.parse_from_ccxt_object(mock_order_usdt_4(), 'ETC/USDT', 'buy')
+    o = Order.parse_from_ccxt_object(mock_order_usdt_4(is_short), 'ETC/USDT', entry_side(is_short))
     trade.orders.append(o)
     return trade
 
 
-def mock_order_usdt_5():
+def mock_order_usdt_5(is_short: bool):
     return {
-        'id': 'prod_buy_3455',
+        'id': f'prod_buy_3455_{direc(is_short)}',
         'symbol': 'XRP/USDT',
         'status': 'closed',
-        'side': 'buy',
+        'side': entry_side(is_short),
         'type': 'limit',
         'price': 2.0,
         'amount': 10.0,
@@ -211,12 +255,12 @@ def mock_order_usdt_5():
     }
 
 
-def mock_order_usdt_5_stoploss():
+def mock_order_usdt_5_stoploss(is_short: bool):
     return {
-        'id': 'prod_stoploss_3455',
+        'id': f'prod_stoploss_3455_{direc(is_short)}',
         'symbol': 'XRP/USDT',
         'status': 'open',
-        'side': 'sell',
+        'side': exit_side(is_short),
         'type': 'stop_loss_limit',
         'price': 2.0,
         'amount': 10.0,
@@ -225,7 +269,7 @@ def mock_order_usdt_5_stoploss():
     }
 
 
-def mock_trade_usdt_5(fee):
+def mock_trade_usdt_5(fee, is_short: bool):
     """
     Simulate prod entry with stoploss
     """
@@ -241,22 +285,23 @@ def mock_trade_usdt_5(fee):
         open_rate=2.0,
         exchange='binance',
         strategy='SampleStrategy',
-        stoploss_order_id='prod_stoploss_3455',
+        stoploss_order_id=f'prod_stoploss_3455_{direc(is_short)}',
         timeframe=5,
+        is_short=is_short,
     )
-    o = Order.parse_from_ccxt_object(mock_order_usdt_5(), 'XRP/USDT', 'buy')
+    o = Order.parse_from_ccxt_object(mock_order_usdt_5(is_short), 'XRP/USDT', entry_side(is_short))
     trade.orders.append(o)
-    o = Order.parse_from_ccxt_object(mock_order_usdt_5_stoploss(), 'XRP/USDT', 'stoploss')
+    o = Order.parse_from_ccxt_object(mock_order_usdt_5_stoploss(is_short), 'XRP/USDT', 'stoploss')
     trade.orders.append(o)
     return trade
 
 
-def mock_order_usdt_6():
+def mock_order_usdt_6(is_short: bool):
     return {
-        'id': 'prod_buy_6',
+        'id': f'prod_entry_6_{direc(is_short)}',
         'symbol': 'LTC/USDT',
         'status': 'closed',
-        'side': 'buy',
+        'side': entry_side(is_short),
         'type': 'limit',
         'price': 10.0,
         'amount': 2.0,
@@ -265,12 +310,12 @@ def mock_order_usdt_6():
     }
 
 
-def mock_order_usdt_6_sell():
+def mock_order_usdt_6_exit(is_short: bool):
     return {
-        'id': 'prod_sell_6',
+        'id': f'prod_exit_6_{direc(is_short)}',
         'symbol': 'LTC/USDT',
         'status': 'open',
-        'side': 'sell',
+        'side': exit_side(is_short),
         'type': 'limit',
         'price': 12.0,
         'amount': 2.0,
@@ -279,7 +324,7 @@ def mock_order_usdt_6_sell():
     }
 
 
-def mock_trade_usdt_6(fee):
+def mock_trade_usdt_6(fee, is_short: bool):
     """
     Simulate prod entry with open sell order
     """
@@ -295,69 +340,49 @@ def mock_trade_usdt_6(fee):
         open_rate=10.0,
         exchange='binance',
         strategy='SampleStrategy',
-        open_order_id="prod_sell_6",
+        open_order_id=f'prod_exit_6_{direc(is_short)}',
         timeframe=5,
+        is_short=is_short,
     )
-    o = Order.parse_from_ccxt_object(mock_order_usdt_6(), 'LTC/USDT', 'buy')
+    o = Order.parse_from_ccxt_object(mock_order_usdt_6(is_short), 'LTC/USDT', entry_side(is_short))
     trade.orders.append(o)
-    o = Order.parse_from_ccxt_object(mock_order_usdt_6_sell(), 'LTC/USDT', 'sell')
+    o = Order.parse_from_ccxt_object(mock_order_usdt_6_exit(is_short),
+                                     'LTC/USDT', exit_side(is_short))
     trade.orders.append(o)
     return trade
 
 
-def mock_order_usdt_7():
+def mock_order_usdt_7(is_short: bool):
     return {
-        'id': 'prod_buy_7',
+        'id': f'1234_{direc(is_short)}',
-        'symbol': 'LTC/USDT',
+        'symbol': 'ADA/USDT',
         'status': 'closed',
-        'side': 'buy',
+        'side': entry_side(is_short),
         'type': 'limit',
-        'price': 10.0,
+        'price': 2.0,
-        'amount': 2.0,
+        'amount': 10.0,
-        'filled': 2.0,
+        'filled': 10.0,
         'remaining': 0.0,
     }
 
 
-def mock_order_usdt_7_sell():
+def mock_trade_usdt_7(fee, is_short: bool):
-    return {
-        'id': 'prod_sell_7',
-        'symbol': 'LTC/USDT',
-        'status': 'closed',
-        'side': 'sell',
-        'type': 'limit',
-        'price': 8.0,
-        'amount': 2.0,
-        'filled': 2.0,
-        'remaining': 0.0,
-    }
-
-
-def mock_trade_usdt_7(fee):
-    """
-    Simulate prod entry with open sell order
-    """
     trade = Trade(
-        pair='LTC/USDT',
+        pair='ADA/USDT',
         stake_amount=20.0,
-        amount=2.0,
+        amount=10.0,
-        amount_requested=2.0,
+        amount_requested=10.0,
-        open_date=datetime.now(tz=timezone.utc) - timedelta(minutes=20),
-        close_date=datetime.now(tz=timezone.utc) - timedelta(minutes=5),
         fee_open=fee.return_value,
         fee_close=fee.return_value,
-        is_open=False,
+        is_open=True,
-        open_rate=10.0,
+        open_date=datetime.now(tz=timezone.utc) - timedelta(minutes=17),
-        close_rate=8.0,
+        open_rate=2.0,
-        close_profit=-0.2,
-        close_profit_abs=-4.0,
         exchange='binance',
-        strategy='SampleStrategy',
+        open_order_id=f'1234_{direc(is_short)}',
-        open_order_id="prod_sell_6",
+        strategy='StrategyTestV2',
         timeframe=5,
+        is_short=is_short,
     )
-    o = Order.parse_from_ccxt_object(mock_order_usdt_7(), 'LTC/USDT', 'buy')
+    o = Order.parse_from_ccxt_object(mock_order_usdt_7(is_short), 'ADA/USDT', entry_side(is_short))
-    trade.orders.append(o)
-    o = Order.parse_from_ccxt_object(mock_order_usdt_7_sell(), 'LTC/USDT', 'sell')
     trade.orders.append(o)
     return trade

tests/data/test_btanalysis.py

@@ -85,7 +85,7 @@ def test_load_backtest_data_new_format(testdatadir):
     filename = testdatadir / "backtest_results/backtest-result_new.json"
     bt_data = load_backtest_data(filename)
     assert isinstance(bt_data, DataFrame)
-    assert set(bt_data.columns) == set(BT_DATA_COLUMNS + ['close_timestamp', 'open_timestamp'])
+    assert set(bt_data.columns) == set(BT_DATA_COLUMNS)
     assert len(bt_data) == 179
 
     # Test loading from string (must yield same result)
@@ -110,7 +110,7 @@ def test_load_backtest_data_multi(testdatadir):
         bt_data = load_backtest_data(filename, strategy=strategy)
         assert isinstance(bt_data, DataFrame)
         assert set(bt_data.columns) == set(
-            BT_DATA_COLUMNS + ['close_timestamp', 'open_timestamp'])
+            BT_DATA_COLUMNS)
         assert len(bt_data) == 179
 
         # Test loading from string (must yield same result)

tests/data/test_entryexitanalysis.py

@@ -0,0 +1,191 @@
+import logging
+from unittest.mock import MagicMock, PropertyMock
+
+import pandas as pd
+import pytest
+
+from freqtrade.commands.analyze_commands import start_analysis_entries_exits
+from freqtrade.commands.optimize_commands import start_backtesting
+from freqtrade.enums import ExitType
+from freqtrade.optimize.backtesting import Backtesting
+from tests.conftest import get_args, patch_exchange, patched_configuration_load_config_file
+
+
+@pytest.fixture(autouse=True)
+def entryexitanalysis_cleanup() -> None:
+    yield None
+
+    Backtesting.cleanup()
+
+
+def test_backtest_analysis_nomock(default_conf, mocker, caplog, testdatadir, tmpdir, capsys):
+    caplog.set_level(logging.INFO)
+
+    default_conf.update({
+        "use_exit_signal": True,
+        "exit_profit_only": False,
+        "exit_profit_offset": 0.0,
+        "ignore_roi_if_entry_signal": False,
+    })
+    patch_exchange(mocker)
+    result1 = pd.DataFrame({'pair': ['ETH/BTC', 'LTC/BTC', 'ETH/BTC', 'LTC/BTC'],
+                            'profit_ratio': [0.025, 0.05, -0.1, -0.05],
+                            'profit_abs': [0.5, 2.0, -4.0, -2.0],
+                            'open_date': pd.to_datetime(['2018-01-29 18:40:00',
+                                                         '2018-01-30 03:30:00',
+                                                         '2018-01-30 08:10:00',
+                                                         '2018-01-31 13:30:00', ], utc=True
+                                                        ),
+                            'close_date': pd.to_datetime(['2018-01-29 20:45:00',
+                                                          '2018-01-30 05:35:00',
+                                                          '2018-01-30 09:10:00',
+                                                          '2018-01-31 15:00:00', ], utc=True),
+                            'trade_duration': [235, 40, 60, 90],
+                            'is_open': [False, False, False, False],
+                            'stake_amount': [0.01, 0.01, 0.01, 0.01],
+                            'open_rate': [0.104445, 0.10302485, 0.10302485, 0.10302485],
+                            'close_rate': [0.104969, 0.103541, 0.102041, 0.102541],
+                            "is_short": [False, False, False, False],
+                            'enter_tag': ["enter_tag_long_a",
+                                          "enter_tag_long_b",
+                                          "enter_tag_long_a",
+                                          "enter_tag_long_b"],
+                            'exit_reason': [ExitType.ROI,
+                                            ExitType.EXIT_SIGNAL,
+                                            ExitType.STOP_LOSS,
+                                            ExitType.TRAILING_STOP_LOSS]
+                            })
+
+    backtestmock = MagicMock(side_effect=[
+        {
+            'results': result1,
+            'config': default_conf,
+            'locks': [],
+            'rejected_signals': 20,
+            'timedout_entry_orders': 0,
+            'timedout_exit_orders': 0,
+            'canceled_trade_entries': 0,
+            'canceled_entry_orders': 0,
+            'replaced_entry_orders': 0,
+            'final_balance': 1000,
+        }
+    ])
+    mocker.patch('freqtrade.plugins.pairlistmanager.PairListManager.whitelist',
+                 PropertyMock(return_value=['ETH/BTC', 'LTC/BTC', 'DASH/BTC']))
+    mocker.patch('freqtrade.optimize.backtesting.Backtesting.backtest', backtestmock)
+
+    patched_configuration_load_config_file(mocker, default_conf)
+
+    args = [
+        'backtesting',
+        '--config', 'config.json',
+        '--datadir', str(testdatadir),
+        '--user-data-dir', str(tmpdir),
+        '--timeframe', '5m',
+        '--timerange', '1515560100-1517287800',
+        '--export', 'signals',
+        '--cache', 'none',
+    ]
+    args = get_args(args)
+    start_backtesting(args)
+
+    captured = capsys.readouterr()
+    assert 'BACKTESTING REPORT' in captured.out
+    assert 'EXIT REASON STATS' in captured.out
+    assert 'LEFT OPEN TRADES REPORT' in captured.out
+
+    base_args = [
+        'backtesting-analysis',
+        '--config', 'config.json',
+        '--datadir', str(testdatadir),
+        '--user-data-dir', str(tmpdir),
+    ]
+
+    # test group 0 and indicator list
+    args = get_args(base_args +
+                    ['--analysis-groups', "0",
+                     '--indicator-list', "close", "rsi", "profit_abs"]
+                    )
+    start_analysis_entries_exits(args)
+    captured = capsys.readouterr()
+    assert 'LTC/BTC' in captured.out
+    assert 'ETH/BTC' in captured.out
+    assert 'enter_tag_long_a' in captured.out
+    assert 'enter_tag_long_b' in captured.out
+    assert 'exit_signal' in captured.out
+    assert 'roi' in captured.out
+    assert 'stop_loss' in captured.out
+    assert 'trailing_stop_loss' in captured.out
+    assert '0.5' in captured.out
+    assert '-4' in captured.out
+    assert '-2' in captured.out
+    assert '-3.5' in captured.out
+    assert '50' in captured.out
+    assert '0' in captured.out
+    assert '0.01616' in captured.out
+    assert '34.049' in captured.out
+    assert '0.104104' in captured.out
+    assert '47.0996' in captured.out
+
+    # test group 1
+    args = get_args(base_args + ['--analysis-groups', "1"])
+    start_analysis_entries_exits(args)
+    captured = capsys.readouterr()
+    assert 'enter_tag_long_a' in captured.out
+    assert 'enter_tag_long_b' in captured.out
+    assert 'total_profit_pct' in captured.out
+    assert '-3.5' in captured.out
+    assert '-1.75' in captured.out
+    assert '-7.5' in captured.out
+    assert '-3.75' in captured.out
+    assert '0' in captured.out
+
+    # test group 2
+    args = get_args(base_args + ['--analysis-groups', "2"])
+    start_analysis_entries_exits(args)
+    captured = capsys.readouterr()
+    assert 'enter_tag_long_a' in captured.out
+    assert 'enter_tag_long_b' in captured.out
+    assert 'exit_signal' in captured.out
+    assert 'roi' in captured.out
+    assert 'stop_loss' in captured.out
+    assert 'trailing_stop_loss' in captured.out
+    assert 'total_profit_pct' in captured.out
+    assert '-10' in captured.out
+    assert '-5' in captured.out
+    assert '2.5' in captured.out
+
+    # test group 3
+    args = get_args(base_args + ['--analysis-groups', "3"])
+    start_analysis_entries_exits(args)
+    captured = capsys.readouterr()
+    assert 'LTC/BTC' in captured.out
+    assert 'ETH/BTC' in captured.out
+    assert 'enter_tag_long_a' in captured.out
+    assert 'enter_tag_long_b' in captured.out
+    assert 'total_profit_pct' in captured.out
+    assert '-7.5' in captured.out
+    assert '-3.75' in captured.out
+    assert '-1.75' in captured.out
+    assert '0' in captured.out
+    assert '2' in captured.out
+
+    # test group 4
+    args = get_args(base_args + ['--analysis-groups', "4"])
+    start_analysis_entries_exits(args)
+    captured = capsys.readouterr()
+    assert 'LTC/BTC' in captured.out
+    assert 'ETH/BTC' in captured.out
+    assert 'enter_tag_long_a' in captured.out
+    assert 'enter_tag_long_b' in captured.out
+    assert 'exit_signal' in captured.out
+    assert 'roi' in captured.out
+    assert 'stop_loss' in captured.out
+    assert 'trailing_stop_loss' in captured.out
+    assert 'total_profit_pct' in captured.out
+    assert '-10' in captured.out
+    assert '-5' in captured.out
+    assert '-4' in captured.out
+    assert '0.5' in captured.out
+    assert '1' in captured.out
+    assert '2.5' in captured.out

tests/exchange/test_ccxt_compat.py

@@ -199,8 +199,13 @@ class TestCCXTExchange():
         l2 = exchange.fetch_l2_order_book(pair)
         assert 'asks' in l2
         assert 'bids' in l2
+        assert len(l2['asks']) >= 1
+        assert len(l2['bids']) >= 1
         l2_limit_range = exchange._ft_has['l2_limit_range']
         l2_limit_range_required = exchange._ft_has['l2_limit_range_required']
+        if exchangename == 'gateio':
+            # TODO: Gateio is unstable here at the moment, ignoring the limit partially.
+            return
         for val in [1, 2, 5, 25, 100]:
             l2 = exchange.fetch_l2_order_book(pair, val)
             if not l2_limit_range or val in l2_limit_range:

tests/exchange/test_gateio.py

@@ -33,6 +33,12 @@ def test_validate_order_types_gateio(default_conf, mocker):
                        match=r'Exchange .* does not support market orders.'):
         ExchangeResolver.load_exchange('gateio', default_conf, True)
 
+    # market-orders supported on futures markets.
+    default_conf['trading_mode'] = 'futures'
+    default_conf['margin_mode'] = 'isolated'
+    ex = ExchangeResolver.load_exchange('gateio', default_conf, True)
+    assert ex
+
 
 @pytest.mark.usefixtures("init_persistence")
 def test_fetch_stoploss_order_gateio(default_conf, mocker):

tests/exchange/test_kucoin.py

@@ -123,5 +123,5 @@ def test_stoploss_adjust_kucoin(mocker, default_conf):
     assert exchange.stoploss_adjust(1501, order, 'sell')
     assert not exchange.stoploss_adjust(1499, order, 'sell')
     # Test with invalid order case
-    order['info']['stop'] = None
+    order['stopPrice'] = None
-    assert not exchange.stoploss_adjust(1501, order, 'sell')
+    assert exchange.stoploss_adjust(1501, order, 'sell')

tests/exchange/test_okx.py

@@ -6,7 +6,7 @@ import pytest
 from freqtrade.enums import MarginMode, TradingMode
 from freqtrade.enums.candletype import CandleType
 from freqtrade.exchange.exchange import timeframe_to_minutes
-from tests.conftest import get_patched_exchange
+from tests.conftest import get_mock_coro, get_patched_exchange
 from tests.exchange.test_exchange import ccxt_exceptionhandlers
 
 
@@ -273,7 +273,7 @@ def test_load_leverage_tiers_okx(default_conf, mocker, markets):
         'fetchLeverageTiers': False,
         'fetchMarketLeverageTiers': True,
     })
-    api_mock.fetch_market_leverage_tiers = MagicMock(side_effect=[
+    api_mock.fetch_market_leverage_tiers = get_mock_coro(side_effect=[
         [
             {
                 'tier': 1,

tests/optimize/test_backtest_detail.py

@@ -7,6 +7,7 @@ import pytest
 from freqtrade.data.history import get_timerange
 from freqtrade.enums import ExitType
 from freqtrade.optimize.backtesting import Backtesting
+from freqtrade.persistence.trade_model import LocalTrade
 from tests.conftest import patch_exchange
 from tests.optimize import (BTContainer, BTrade, _build_backtest_dataframe,
                             _get_frame_time_from_offset, tests_timeframe)
@@ -964,5 +965,7 @@ def test_backtest_results(default_conf, fee, mocker, caplog, data: BTContainer)
         assert res.open_date == _get_frame_time_from_offset(trade.open_tick)
         assert res.close_date == _get_frame_time_from_offset(trade.close_tick)
         assert res.is_short == trade.is_short
+    assert len(LocalTrade.trades) == len(data.trades)
+    assert len(LocalTrade.trades_open) == 0
     backtesting.cleanup()
     del backtesting

tests/optimize/test_backtesting.py

@@ -795,10 +795,27 @@ def test_backtest_one(default_conf, fee, mocker, testdatadir) -> None:
          'is_open': [False, False],
          'enter_tag': [None, None],
          "is_short": [False, False],
+         'open_timestamp': [1517251200000, 1517283000000],
+         'close_timestamp': [1517265300000, 1517285400000],
+         'orders': [
+            [
+                {'amount': 0.00957442, 'safe_price': 0.104445, 'ft_order_side': 'buy',
+                 'order_filled_timestamp': 1517251200000, 'ft_is_entry': True},
+                {'amount': 0.00957442, 'safe_price': 0.10496853383458644, 'ft_order_side': 'sell',
+                 'order_filled_timestamp': 1517265300000, 'ft_is_entry': False}
+            ], [
+                {'amount': 0.0097064, 'safe_price': 0.10302485, 'ft_order_side': 'buy',
+                 'order_filled_timestamp': 1517283000000, 'ft_is_entry': True},
+                {'amount': 0.0097064, 'safe_price': 0.10354126528822055, 'ft_order_side': 'sell',
+                 'order_filled_timestamp': 1517285400000, 'ft_is_entry': False}
+            ]
+         ]
          })
     pd.testing.assert_frame_equal(results, expected)
+    assert 'orders' in results.columns
     data_pair = processed[pair]
     for _, t in results.iterrows():
+        assert len(t['orders']) == 2
         ln = data_pair.loc[data_pair["date"] == t["open_date"]]
         # Check open trade rate alignes to open rate
         assert ln is not None

tests/optimize/test_backtesting_adjust_position.py

@@ -70,9 +70,14 @@ def test_backtest_position_adjustment(default_conf, fee, mocker, testdatadir) ->
          'is_open': [False, False],
          'enter_tag': [None, None],
          'is_short': [False, False],
+         'open_timestamp': [1517251200000, 1517283000000],
+         'close_timestamp': [1517265300000, 1517285400000],
          })
-    pd.testing.assert_frame_equal(results, expected)
+    pd.testing.assert_frame_equal(results.drop(columns=['orders']), expected)
     data_pair = processed[pair]
+    assert len(results.iloc[0]['orders']) == 6
+    assert len(results.iloc[1]['orders']) == 2
+
     for _, t in results.iterrows():
         ln = data_pair.loc[data_pair["date"] == t["open_date"]]
         # Check open trade rate alignes to open rate

tests/optimize/test_hyperopt.py

@@ -861,6 +861,7 @@ def test_in_strategy_auto_hyperopt(mocker, hyperopt_conf, tmpdir, fee) -> None:
     hyperopt.backtesting.exchange.get_max_leverage = MagicMock(return_value=1.0)
     assert isinstance(hyperopt.custom_hyperopt, HyperOptAuto)
     assert isinstance(hyperopt.backtesting.strategy.buy_rsi, IntParameter)
+    assert hyperopt.backtesting.strategy.bot_loop_started is True
 
     assert hyperopt.backtesting.strategy.buy_rsi.in_space is True
     assert hyperopt.backtesting.strategy.buy_rsi.value == 35

tests/optimize/test_optimize_reports.py

@@ -171,7 +171,7 @@ def test_generate_backtest_stats(default_conf, testdatadir, tmpdir):
     _backup_file(filename_last, copy_file=True)
     assert not filename.is_file()
 
-    store_backtest_stats(filename, stats)
+    store_backtest_stats(filename, stats, '2022_01_01_15_05_13')
 
     # get real Filename (it's btresult-<date>.json)
     last_fn = get_latest_backtest_filename(filename_last.parent)
@@ -194,7 +194,7 @@ def test_store_backtest_stats(testdatadir, mocker):
 
     dump_mock = mocker.patch('freqtrade.optimize.optimize_reports.file_dump_json')
 
-    store_backtest_stats(testdatadir, {'metadata': {}})
+    store_backtest_stats(testdatadir, {'metadata': {}}, '2022_01_01_15_05_13')
 
     assert dump_mock.call_count == 3
     assert isinstance(dump_mock.call_args_list[0][0][0], Path)
@@ -202,7 +202,7 @@ def test_store_backtest_stats(testdatadir, mocker):
 
     dump_mock.reset_mock()
     filename = testdatadir / 'testresult.json'
-    store_backtest_stats(filename, {'metadata': {}})
+    store_backtest_stats(filename, {'metadata': {}}, '2022_01_01_15_05_13')
     assert dump_mock.call_count == 3
     assert isinstance(dump_mock.call_args_list[0][0][0], Path)
     # result will be testdatadir / testresult-<timestamp>.json
@@ -216,7 +216,7 @@ def test_store_backtest_candles(testdatadir, mocker):
     candle_dict = {'DefStrat': {'UNITTEST/BTC': pd.DataFrame()}}
 
     # mock directory exporting
-    store_backtest_signal_candles(testdatadir, candle_dict)
+    store_backtest_signal_candles(testdatadir, candle_dict, '2022_01_01_15_05_13')
 
     assert dump_mock.call_count == 1
     assert isinstance(dump_mock.call_args_list[0][0][0], Path)
@@ -225,7 +225,7 @@ def test_store_backtest_candles(testdatadir, mocker):
     dump_mock.reset_mock()
     # mock file exporting
     filename = Path(testdatadir / 'testresult')
-    store_backtest_signal_candles(filename, candle_dict)
+    store_backtest_signal_candles(filename, candle_dict, '2022_01_01_15_05_13')
     assert dump_mock.call_count == 1
     assert isinstance(dump_mock.call_args_list[0][0][0], Path)
     # result will be testdatadir / testresult-<timestamp>_signals.pkl
@@ -238,7 +238,7 @@ def test_write_read_backtest_candles(tmpdir):
     candle_dict = {'DefStrat': {'UNITTEST/BTC': pd.DataFrame()}}
 
     # test directory exporting
-    stored_file = store_backtest_signal_candles(Path(tmpdir), candle_dict)
+    stored_file = store_backtest_signal_candles(Path(tmpdir), candle_dict, '2022_01_01_15_05_13')
     scp = open(stored_file, "rb")
     pickled_signal_candles = joblib.load(scp)
     scp.close()
@@ -252,7 +252,7 @@ def test_write_read_backtest_candles(tmpdir):
 
     # test file exporting
     filename = Path(tmpdir / 'testresult')
-    stored_file = store_backtest_signal_candles(filename, candle_dict)
+    stored_file = store_backtest_signal_candles(filename, candle_dict, '2022_01_01_15_05_13')
     scp = open(stored_file, "rb")
     pickled_signal_candles = joblib.load(scp)
     scp.close()

tests/plugins/test_pairlist.py

@@ -762,8 +762,8 @@ def test_PerformanceFilter_keep_mid_order(mocker, default_conf_usdt, fee, caplog
     with time_machine.travel("2021-09-01 05:00:00 +00:00") as t:
         create_mock_trades_usdt(fee)
         pm.refresh_pairlist()
-        assert pm.whitelist == ['XRP/USDT', 'ETC/USDT', 'ETH/USDT',
+        assert pm.whitelist == ['XRP/USDT', 'ETC/USDT', 'ETH/USDT', 'LTC/USDT',
-                                'NEO/USDT', 'TKN/USDT', 'ADA/USDT', 'LTC/USDT']
+                                'NEO/USDT', 'TKN/USDT', 'ADA/USDT', ]
         # assert log_has_re(r'Removing pair .* since .* is below .*', caplog)
 
         # Move to "outside" of lookback window, so original sorting is restored.

tests/rpc/test_rpc.py

@@ -11,11 +11,11 @@ from freqtrade.edge import PairInfo
 from freqtrade.enums import SignalDirection, State, TradingMode
 from freqtrade.exceptions import ExchangeError, InvalidOrderException, TemporaryError
 from freqtrade.persistence import Trade
-from freqtrade.persistence.models import Order
 from freqtrade.persistence.pairlock_middleware import PairLocks
 from freqtrade.rpc import RPC, RPCException
 from freqtrade.rpc.fiat_convert import CryptoToFiatConverter
-from tests.conftest import create_mock_trades, get_patched_freqtradebot, patch_get_signal
+from tests.conftest import (create_mock_trades, create_mock_trades_usdt, get_patched_freqtradebot,
+                            patch_get_signal)
 
 
 # Functions for recurrent object patching
@@ -284,8 +284,8 @@ def test_rpc_status_table(default_conf, ticker, fee, mocker) -> None:
     assert isnan(fiat_profit_sum)
 
 
-def test_rpc_daily_profit(default_conf, update, ticker, fee,
+def test__rpc_timeunit_profit(default_conf_usdt, ticker, fee,
-                          limit_buy_order, limit_sell_order, markets, mocker) -> None:
+                              limit_buy_order, limit_sell_order, markets, mocker) -> None:
     mocker.patch('freqtrade.rpc.telegram.Telegram', MagicMock())
     mocker.patch.multiple(
         'freqtrade.exchange.Exchange',
@@ -294,45 +294,35 @@ def test_rpc_daily_profit(default_conf, update, ticker, fee,
         markets=PropertyMock(return_value=markets)
     )
 
-    freqtradebot = get_patched_freqtradebot(mocker, default_conf)
+    freqtradebot = get_patched_freqtradebot(mocker, default_conf_usdt)
-    patch_get_signal(freqtradebot)
+    create_mock_trades_usdt(fee)
-    stake_currency = default_conf['stake_currency']
+
-    fiat_display_currency = default_conf['fiat_display_currency']
+    stake_currency = default_conf_usdt['stake_currency']
+    fiat_display_currency = default_conf_usdt['fiat_display_currency']
 
     rpc = RPC(freqtradebot)
     rpc._fiat_converter = CryptoToFiatConverter()
-    # Create some test data
-    freqtradebot.enter_positions()
-    trade = Trade.query.first()
-    assert trade
-
-    # Simulate buy & sell
-    oobj = Order.parse_from_ccxt_object(limit_buy_order, limit_buy_order['symbol'], 'buy')
-    trade.update_trade(oobj)
-    oobj = Order.parse_from_ccxt_object(limit_sell_order, limit_sell_order['symbol'], 'sell')
-    trade.update_trade(oobj)
-    trade.close_date = datetime.utcnow()
-    trade.is_open = False
 
     # Try valid data
-    update.message.text = '/daily 2'
+    days = rpc._rpc_timeunit_profit(7, stake_currency, fiat_display_currency)
-    days = rpc._rpc_daily_profit(7, stake_currency, fiat_display_currency)
     assert len(days['data']) == 7
-    assert days['stake_currency'] == default_conf['stake_currency']
+    assert days['stake_currency'] == default_conf_usdt['stake_currency']
-    assert days['fiat_display_currency'] == default_conf['fiat_display_currency']
+    assert days['fiat_display_currency'] == default_conf_usdt['fiat_display_currency']
     for day in days['data']:
-        # [datetime.date(2018, 1, 11), '0.00000000 BTC', '0.000 USD']
+        # {'date': datetime.date(2022, 6, 11), 'abs_profit': 13.8299999,
-        assert (day['abs_profit'] == 0.0 or
+        #  'starting_balance': 1055.37, 'rel_profit': 0.0131044,
-                day['abs_profit'] == 0.00006217)
+        #  'fiat_value': 0.0, 'trade_count': 2}
-
+        assert day['abs_profit'] in (0.0, pytest.approx(13.8299999), pytest.approx(-4.0))
-        assert (day['fiat_value'] == 0.0 or
+        assert day['rel_profit'] in (0.0, pytest.approx(0.01310441), pytest.approx(-0.00377583))
-                day['fiat_value'] == 0.76748865)
+        assert day['trade_count'] in (0, 1, 2)
+        assert day['starting_balance'] in (pytest.approx(1059.37), pytest.approx(1055.37))
+        assert day['fiat_value'] in (0.0, )
     # ensure first day is current date
     assert str(days['data'][0]['date']) == str(datetime.utcnow().date())
 
     # Try invalid data
     with pytest.raises(RPCException, match=r'.*must be an integer greater than 0*'):
-        rpc._rpc_daily_profit(0, stake_currency, fiat_display_currency)
+        rpc._rpc_timeunit_profit(0, stake_currency, fiat_display_currency)
 
 
 @pytest.mark.parametrize('is_short', [True, False])
@@ -416,13 +406,8 @@ def test_rpc_delete_trade(mocker, default_conf, fee, markets, caplog, is_short):
     assert stoploss_mock.call_count == 0
 
 
-def test_rpc_trade_statistics(default_conf, ticker, ticker_sell_up, fee,
+def test_rpc_trade_statistics(default_conf_usdt, ticker, fee, mocker) -> None:
-                              limit_buy_order, limit_sell_order, mocker) -> None:
+    mocker.patch('freqtrade.rpc.rpc.CryptoToFiatConverter._find_price', return_value=1.1)
-    mocker.patch.multiple(
-        'freqtrade.rpc.fiat_convert.CoinGeckoAPI',
-        get_price=MagicMock(return_value={'bitcoin': {'usd': 15000.0}}),
-    )
-    mocker.patch('freqtrade.rpc.rpc.CryptoToFiatConverter._find_price', return_value=15000.0)
     mocker.patch('freqtrade.rpc.telegram.Telegram', MagicMock())
     mocker.patch.multiple(
         'freqtrade.exchange.Exchange',
@@ -430,10 +415,9 @@ def test_rpc_trade_statistics(default_conf, ticker, ticker_sell_up, fee,
         get_fee=fee,
     )
 
-    freqtradebot = get_patched_freqtradebot(mocker, default_conf)
+    freqtradebot = get_patched_freqtradebot(mocker, default_conf_usdt)
-    patch_get_signal(freqtradebot)
+    stake_currency = default_conf_usdt['stake_currency']
-    stake_currency = default_conf['stake_currency']
+    fiat_display_currency = default_conf_usdt['fiat_display_currency']
-    fiat_display_currency = default_conf['fiat_display_currency']
 
     rpc = RPC(freqtradebot)
     rpc._fiat_converter = CryptoToFiatConverter()
@@ -446,75 +430,40 @@ def test_rpc_trade_statistics(default_conf, ticker, ticker_sell_up, fee,
     assert res['latest_trade_timestamp'] == 0
 
     # Create some test data
-    freqtradebot.enter_positions()
+    create_mock_trades_usdt(fee)
-    trade = Trade.query.first()
-    # Simulate fulfilled LIMIT_BUY order for trade
-    oobj = Order.parse_from_ccxt_object(limit_buy_order, limit_buy_order['symbol'], 'sell')
-    trade.update_trade(oobj)
-
-    # Update the ticker with a market going up
-    mocker.patch.multiple(
-        'freqtrade.exchange.Exchange',
-        fetch_ticker=ticker_sell_up
-    )
-    oobj = Order.parse_from_ccxt_object(limit_sell_order, limit_sell_order['symbol'], 'sell')
-    trade.update_trade(oobj)
-    trade.close_date = datetime.utcnow()
-    trade.is_open = False
-
-    freqtradebot.enter_positions()
-    trade = Trade.query.first()
-    # Simulate fulfilled LIMIT_BUY order for trade
-    oobj = Order.parse_from_ccxt_object(limit_buy_order, limit_buy_order['symbol'], 'buy')
-    trade.update_trade(oobj)
-
-    # Update the ticker with a market going up
-    mocker.patch.multiple(
-        'freqtrade.exchange.Exchange',
-        fetch_ticker=ticker_sell_up
-    )
-    oobj = Order.parse_from_ccxt_object(limit_sell_order, limit_sell_order['symbol'], 'sell')
-    trade.update_trade(oobj)
-    trade.close_date = datetime.utcnow()
-    trade.is_open = False
 
     stats = rpc._rpc_trade_statistics(stake_currency, fiat_display_currency)
-    assert prec_satoshi(stats['profit_closed_coin'], 6.217e-05)
+    assert pytest.approx(stats['profit_closed_coin']) == 9.83
-    assert prec_satoshi(stats['profit_closed_percent_mean'], 6.2)
+    assert pytest.approx(stats['profit_closed_percent_mean']) == -1.67
-    assert prec_satoshi(stats['profit_closed_fiat'], 0.93255)
+    assert pytest.approx(stats['profit_closed_fiat']) == 10.813
-    assert prec_satoshi(stats['profit_all_coin'], 5.802e-05)
+    assert pytest.approx(stats['profit_all_coin']) == -77.45964918
-    assert prec_satoshi(stats['profit_all_percent_mean'], 2.89)
+    assert pytest.approx(stats['profit_all_percent_mean']) == -57.86
-    assert prec_satoshi(stats['profit_all_fiat'], 0.8703)
+    assert pytest.approx(stats['profit_all_fiat']) == -85.205614098
-    assert stats['trade_count'] == 2
+    assert stats['trade_count'] == 7
-    assert stats['first_trade_date'] == 'just now'
+    assert stats['first_trade_date'] == '2 days ago'
-    assert stats['latest_trade_date'] == 'just now'
+    assert stats['latest_trade_date'] == '17 minutes ago'
-    assert stats['avg_duration'] in ('0:00:00', '0:00:01', '0:00:02')
+    assert stats['avg_duration'] in ('0:17:40')
-    assert stats['best_pair'] == 'ETH/BTC'
+    assert stats['best_pair'] == 'XRP/USDT'
-    assert prec_satoshi(stats['best_rate'], 6.2)
+    assert stats['best_rate'] == 10.0
 
     # Test non-available pair
     mocker.patch('freqtrade.exchange.Exchange.get_rate',
-                 MagicMock(side_effect=ExchangeError("Pair 'ETH/BTC' not available")))
+                 MagicMock(side_effect=ExchangeError("Pair 'XRP/USDT' not available")))
     stats = rpc._rpc_trade_statistics(stake_currency, fiat_display_currency)
-    assert stats['trade_count'] == 2
+    assert stats['trade_count'] == 7
-    assert stats['first_trade_date'] == 'just now'
+    assert stats['first_trade_date'] == '2 days ago'
-    assert stats['latest_trade_date'] == 'just now'
+    assert stats['latest_trade_date'] == '17 minutes ago'
-    assert stats['avg_duration'] in ('0:00:00', '0:00:01', '0:00:02')
+    assert stats['avg_duration'] in ('0:17:40')
-    assert stats['best_pair'] == 'ETH/BTC'
+    assert stats['best_pair'] == 'XRP/USDT'
-    assert prec_satoshi(stats['best_rate'], 6.2)
+    assert stats['best_rate'] == 10.0
     assert isnan(stats['profit_all_coin'])
 
 
 # Test that rpc_trade_statistics can handle trades that lacks
 # trade.open_rate (it is set to None)
-def test_rpc_trade_statistics_closed(mocker, default_conf, ticker, fee,
+def test_rpc_trade_statistics_closed(mocker, default_conf_usdt, ticker, fee):
-                                     ticker_sell_up, limit_buy_order, limit_sell_order):
-    mocker.patch.multiple(
-        'freqtrade.rpc.fiat_convert.CoinGeckoAPI',
-        get_price=MagicMock(return_value={'bitcoin': {'usd': 15000.0}}),
-    )
     mocker.patch('freqtrade.rpc.fiat_convert.CryptoToFiatConverter._find_price',
-                 return_value=15000.0)
+                 return_value=1.1)
     mocker.patch('freqtrade.rpc.telegram.Telegram', MagicMock())
     mocker.patch.multiple(
         'freqtrade.exchange.Exchange',
@@ -522,46 +471,32 @@ def test_rpc_trade_statistics_closed(mocker, default_conf, ticker, fee,
         get_fee=fee,
     )
 
-    freqtradebot = get_patched_freqtradebot(mocker, default_conf)
+    freqtradebot = get_patched_freqtradebot(mocker, default_conf_usdt)
     patch_get_signal(freqtradebot)
-    stake_currency = default_conf['stake_currency']
+    stake_currency = default_conf_usdt['stake_currency']
-    fiat_display_currency = default_conf['fiat_display_currency']
+    fiat_display_currency = default_conf_usdt['fiat_display_currency']
 
     rpc = RPC(freqtradebot)
 
     # Create some test data
-    freqtradebot.enter_positions()
+    create_mock_trades_usdt(fee)
-    trade = Trade.query.first()
-    # Simulate fulfilled LIMIT_BUY order for trade
-    oobj = Order.parse_from_ccxt_object(limit_buy_order, limit_buy_order['symbol'], 'buy')
-    trade.update_trade(oobj)
-    # Update the ticker with a market going up
-    mocker.patch.multiple(
-        'freqtrade.exchange.Exchange',
-        fetch_ticker=ticker_sell_up,
-        get_fee=fee
-    )
-    oobj = Order.parse_from_ccxt_object(limit_sell_order, limit_sell_order['symbol'], 'sell')
-    trade.update_trade(oobj)
-    trade.close_date = datetime.utcnow()
-    trade.is_open = False
 
     for trade in Trade.query.order_by(Trade.id).all():
         trade.open_rate = None
 
     stats = rpc._rpc_trade_statistics(stake_currency, fiat_display_currency)
-    assert prec_satoshi(stats['profit_closed_coin'], 0)
+    assert stats['profit_closed_coin'] == 0
-    assert prec_satoshi(stats['profit_closed_percent_mean'], 0)
+    assert stats['profit_closed_percent_mean'] == 0
-    assert prec_satoshi(stats['profit_closed_fiat'], 0)
+    assert stats['profit_closed_fiat'] == 0
-    assert prec_satoshi(stats['profit_all_coin'], 0)
+    assert stats['profit_all_coin'] == 0
-    assert prec_satoshi(stats['profit_all_percent_mean'], 0)
+    assert stats['profit_all_percent_mean'] == 0
-    assert prec_satoshi(stats['profit_all_fiat'], 0)
+    assert stats['profit_all_fiat'] == 0
-    assert stats['trade_count'] == 1
+    assert stats['trade_count'] == 7
-    assert stats['first_trade_date'] == 'just now'
+    assert stats['first_trade_date'] == '2 days ago'
-    assert stats['latest_trade_date'] == 'just now'
+    assert stats['latest_trade_date'] == '17 minutes ago'
     assert stats['avg_duration'] == '0:00:00'
-    assert stats['best_pair'] == 'ETH/BTC'
+    assert stats['best_pair'] == 'XRP/USDT'
-    assert prec_satoshi(stats['best_rate'], 6.2)
+    assert stats['best_rate'] == 10.0
 
 
 def test_rpc_balance_handle_error(default_conf, mocker):
@@ -913,8 +848,7 @@ def test_rpc_force_exit(default_conf, ticker, fee, mocker) -> None:
     assert cancel_order_mock.call_count == 3
 
 
-def test_performance_handle(default_conf, ticker, limit_buy_order, fee,
+def test_performance_handle(default_conf_usdt, ticker, fee, mocker) -> None:
-                            limit_sell_order, mocker) -> None:
     mocker.patch('freqtrade.rpc.telegram.Telegram', MagicMock())
     mocker.patch.multiple(
         'freqtrade.exchange.Exchange',
@@ -923,34 +857,21 @@ def test_performance_handle(default_conf, ticker, limit_buy_order, fee,
         get_fee=fee,
     )
 
-    freqtradebot = get_patched_freqtradebot(mocker, default_conf)
+    freqtradebot = get_patched_freqtradebot(mocker, default_conf_usdt)
     patch_get_signal(freqtradebot)
     rpc = RPC(freqtradebot)
-
     # Create some test data
-    freqtradebot.enter_positions()
+    create_mock_trades_usdt(fee)
-    trade = Trade.query.first()
-    assert trade
 
-    # Simulate fulfilled LIMIT_BUY order for trade
-    oobj = Order.parse_from_ccxt_object(limit_buy_order, limit_buy_order['symbol'], 'buy')
-    trade.update_trade(oobj)
-
-    # Simulate fulfilled LIMIT_SELL order for trade
-    oobj = Order.parse_from_ccxt_object(limit_sell_order, limit_sell_order['symbol'], 'sell')
-    trade.update_trade(oobj)
-
-    trade.close_date = datetime.utcnow()
-    trade.is_open = False
     res = rpc._rpc_performance()
-    assert len(res) == 1
+    assert len(res) == 3
-    assert res[0]['pair'] == 'ETH/BTC'
+    assert res[0]['pair'] == 'XRP/USDT'
     assert res[0]['count'] == 1
-    assert prec_satoshi(res[0]['profit_pct'], 6.2)
+    assert res[0]['profit_pct'] == 10.0
 
 
-def test_enter_tag_performance_handle(default_conf, ticker, limit_buy_order, fee,
+def test_enter_tag_performance_handle(default_conf, ticker, fee, mocker) -> None:
-                                      limit_sell_order, mocker) -> None:
+
     mocker.patch('freqtrade.rpc.telegram.Telegram', MagicMock())
     mocker.patch.multiple(
         'freqtrade.exchange.Exchange',
@@ -964,34 +885,22 @@ def test_enter_tag_performance_handle(default_conf, ticker, limit_buy_order, fee
     rpc = RPC(freqtradebot)
 
     # Create some test data
+    create_mock_trades_usdt(fee)
     freqtradebot.enter_positions()
-    trade = Trade.query.first()
-    assert trade
 
-    # Simulate fulfilled LIMIT_BUY order for trade
-    oobj = Order.parse_from_ccxt_object(limit_buy_order, limit_buy_order['symbol'], 'buy')
-    trade.update_trade(oobj)
-
-    # Simulate fulfilled LIMIT_SELL order for trade
-    oobj = Order.parse_from_ccxt_object(limit_sell_order, limit_sell_order['symbol'], 'sell')
-    trade.update_trade(oobj)
-
-    trade.close_date = datetime.utcnow()
-    trade.is_open = False
     res = rpc._rpc_enter_tag_performance(None)
 
-    assert len(res) == 1
+    assert len(res) == 3
-    assert res[0]['enter_tag'] == 'Other'
+    assert res[0]['enter_tag'] == 'TEST3'
     assert res[0]['count'] == 1
-    assert prec_satoshi(res[0]['profit_pct'], 6.2)
+    assert res[0]['profit_pct'] == 10.0
 
-    trade.enter_tag = "TEST_TAG"
     res = rpc._rpc_enter_tag_performance(None)
 
-    assert len(res) == 1
+    assert len(res) == 3
-    assert res[0]['enter_tag'] == 'TEST_TAG'
+    assert res[0]['enter_tag'] == 'TEST3'
     assert res[0]['count'] == 1
-    assert prec_satoshi(res[0]['profit_pct'], 6.2)
+    assert res[0]['profit_pct'] == 10.0
 
 
 def test_enter_tag_performance_handle_2(mocker, default_conf, markets, fee):
@@ -1023,8 +932,7 @@ def test_enter_tag_performance_handle_2(mocker, default_conf, markets, fee):
     assert prec_satoshi(res[0]['profit_pct'], 0.5)
 
 
-def test_exit_reason_performance_handle(default_conf, ticker, limit_buy_order, fee,
+def test_exit_reason_performance_handle(default_conf_usdt, ticker, fee, mocker) -> None:
-                                        limit_sell_order, mocker) -> None:
     mocker.patch('freqtrade.rpc.telegram.Telegram', MagicMock())
     mocker.patch.multiple(
         'freqtrade.exchange.Exchange',
@@ -1033,39 +941,22 @@ def test_exit_reason_performance_handle(default_conf, ticker, limit_buy_order, f
         get_fee=fee,
     )
 
-    freqtradebot = get_patched_freqtradebot(mocker, default_conf)
+    freqtradebot = get_patched_freqtradebot(mocker, default_conf_usdt)
     patch_get_signal(freqtradebot)
     rpc = RPC(freqtradebot)
 
     # Create some test data
-    freqtradebot.enter_positions()
+    create_mock_trades_usdt(fee)
-    trade = Trade.query.first()
-    assert trade
 
-    # Simulate fulfilled LIMIT_BUY order for trade
-    oobj = Order.parse_from_ccxt_object(limit_buy_order, limit_buy_order['symbol'], 'buy')
-    trade.update_trade(oobj)
-
-    # Simulate fulfilled LIMIT_SELL order for trade
-    oobj = Order.parse_from_ccxt_object(limit_sell_order, limit_sell_order['symbol'], 'sell')
-    trade.update_trade(oobj)
-
-    trade.close_date = datetime.utcnow()
-    trade.is_open = False
     res = rpc._rpc_exit_reason_performance(None)
 
-    assert len(res) == 1
+    assert len(res) == 3
-    assert res[0]['exit_reason'] == 'Other'
+    assert res[0]['exit_reason'] == 'roi'
     assert res[0]['count'] == 1
-    assert prec_satoshi(res[0]['profit_pct'], 6.2)
+    assert res[0]['profit_pct'] == 10.0
 
-    trade.exit_reason = "TEST1"
+    assert res[1]['exit_reason'] == 'exit_signal'
-    res = rpc._rpc_exit_reason_performance(None)
+    assert res[2]['exit_reason'] == 'Other'
-
-    assert len(res) == 1
-    assert res[0]['exit_reason'] == 'TEST1'
-    assert res[0]['count'] == 1
-    assert prec_satoshi(res[0]['profit_pct'], 6.2)
 
 
 def test_exit_reason_performance_handle_2(mocker, default_conf, markets, fee):
@@ -1097,8 +988,7 @@ def test_exit_reason_performance_handle_2(mocker, default_conf, markets, fee):
     assert prec_satoshi(res[0]['profit_pct'], 0.5)
 
 
-def test_mix_tag_performance_handle(default_conf, ticker, limit_buy_order, fee,
+def test_mix_tag_performance_handle(default_conf, ticker, fee, mocker) -> None:
-                                    limit_sell_order, mocker) -> None:
     mocker.patch('freqtrade.rpc.telegram.Telegram', MagicMock())
     mocker.patch.multiple(
         'freqtrade.exchange.Exchange',
@@ -1112,35 +1002,14 @@ def test_mix_tag_performance_handle(default_conf, ticker, limit_buy_order, fee,
     rpc = RPC(freqtradebot)
 
     # Create some test data
-    freqtradebot.enter_positions()
+    create_mock_trades_usdt(fee)
-    trade = Trade.query.first()
-    assert trade
 
-    # Simulate fulfilled LIMIT_BUY order for trade
-    oobj = Order.parse_from_ccxt_object(limit_buy_order, limit_buy_order['symbol'], 'buy')
-    trade.update_trade(oobj)
-
-    # Simulate fulfilled LIMIT_SELL order for trade
-    oobj = Order.parse_from_ccxt_object(limit_sell_order, limit_sell_order['symbol'], 'sell')
-    trade.update_trade(oobj)
-
-    trade.close_date = datetime.utcnow()
-    trade.is_open = False
     res = rpc._rpc_mix_tag_performance(None)
 
-    assert len(res) == 1
+    assert len(res) == 3
-    assert res[0]['mix_tag'] == 'Other Other'
+    assert res[0]['mix_tag'] == 'TEST3 roi'
     assert res[0]['count'] == 1
-    assert prec_satoshi(res[0]['profit_pct'], 6.2)
+    assert res[0]['profit_pct'] == 10.0
-
-    trade.enter_tag = "TESTBUY"
-    trade.exit_reason = "TESTSELL"
-    res = rpc._rpc_mix_tag_performance(None)
-
-    assert len(res) == 1
-    assert res[0]['mix_tag'] == 'TESTBUY TESTSELL'
-    assert res[0]['count'] == 1
-    assert prec_satoshi(res[0]['profit_pct'], 6.2)
 
 
 def test_mix_tag_performance_handle_2(mocker, default_conf, markets, fee):

tests/rpc/test_rpc_apiserver.py

@@ -578,9 +578,10 @@ def test_api_trades(botclient, mocker, fee, markets, is_short):
     )
     rc = client_get(client, f"{BASE_URI}/trades")
     assert_response(rc)
-    assert len(rc.json()) == 3
+    assert len(rc.json()) == 4
     assert rc.json()['trades_count'] == 0
     assert rc.json()['total_trades'] == 0
+    assert rc.json()['offset'] == 0
 
     create_mock_trades(fee, is_short=is_short)
     Trade.query.session.flush()
@@ -724,7 +725,9 @@ def test_api_edge_disabled(botclient, mocker, ticker, fee, markets):
          'profit_closed_fiat': -83.19455985, 'profit_closed_ratio_mean': -0.0075,
          'profit_closed_percent_mean': -0.75, 'profit_closed_ratio_sum': -0.015,
          'profit_closed_percent_sum': -1.5, 'profit_closed_ratio': -6.739057628404269e-06,
-         'profit_closed_percent': -0.0, 'winning_trades': 0, 'losing_trades': 2}
+         'profit_closed_percent': -0.0, 'winning_trades': 0, 'losing_trades': 2,
+         'profit_factor': 0.0, 'trading_volume': 91.074,
+         }
     ),
     (
         False,
@@ -737,7 +740,9 @@ def test_api_edge_disabled(botclient, mocker, ticker, fee, markets):
          'profit_closed_fiat': 9.124559849999999, 'profit_closed_ratio_mean': 0.0075,
          'profit_closed_percent_mean': 0.75, 'profit_closed_ratio_sum': 0.015,
          'profit_closed_percent_sum': 1.5, 'profit_closed_ratio': 7.391275897987988e-07,
-         'profit_closed_percent': 0.0, 'winning_trades': 2, 'losing_trades': 0}
+         'profit_closed_percent': 0.0, 'winning_trades': 2, 'losing_trades': 0,
+         'profit_factor': None, 'trading_volume': 91.074,
+         }
     ),
     (
         None,
@@ -750,7 +755,9 @@ def test_api_edge_disabled(botclient, mocker, ticker, fee, markets):
          'profit_closed_fiat': -67.02260985, 'profit_closed_ratio_mean': 0.0025,
          'profit_closed_percent_mean': 0.25, 'profit_closed_ratio_sum': 0.005,
          'profit_closed_percent_sum': 0.5, 'profit_closed_ratio': -5.429078808526421e-06,
-         'profit_closed_percent': -0.0, 'winning_trades': 1, 'losing_trades': 1}
+         'profit_closed_percent': -0.0, 'winning_trades': 1, 'losing_trades': 1,
+         'profit_factor': 0.02775724835771106, 'trading_volume': 91.074,
+         }
     )
 ])
 def test_api_profit(botclient, mocker, ticker, fee, markets, is_short, expected):
@@ -803,6 +810,10 @@ def test_api_profit(botclient, mocker, ticker, fee, markets, is_short, expected)
         'closed_trade_count': 2,
         'winning_trades': expected['winning_trades'],
         'losing_trades': expected['losing_trades'],
+        'profit_factor': expected['profit_factor'],
+        'max_drawdown': ANY,
+        'max_drawdown_abs': ANY,
+        'trading_volume': expected['trading_volume'],
     }
 
 
@@ -852,8 +863,8 @@ def test_api_performance(botclient, fee):
         close_rate=0.265441,
 
     )
-    trade.close_profit = trade.calc_profit_ratio()
+    trade.close_profit = trade.calc_profit_ratio(trade.close_rate)
-    trade.close_profit_abs = trade.calc_profit()
+    trade.close_profit_abs = trade.calc_profit(trade.close_rate)
     Trade.query.session.add(trade)
 
     trade = Trade(
@@ -868,8 +879,8 @@ def test_api_performance(botclient, fee):
         fee_open=fee.return_value,
         close_rate=0.391
     )
-    trade.close_profit = trade.calc_profit_ratio()
+    trade.close_profit = trade.calc_profit_ratio(trade.close_rate)
-    trade.close_profit_abs = trade.calc_profit()
+    trade.close_profit_abs = trade.calc_profit(trade.close_rate)
 
     Trade.query.session.add(trade)
     Trade.commit()
@@ -1384,12 +1395,14 @@ def test_api_strategies(botclient):
     rc = client_get(client, f"{BASE_URI}/strategies")
 
     assert_response(rc)
+
     assert rc.json() == {'strategies': [
         'HyperoptableStrategy',
         'InformativeDecoratorTest',
         'StrategyTestV2',
         'StrategyTestV3',
-        'StrategyTestV3Futures',
+        'StrategyTestV3Analysis',
+        'StrategyTestV3Futures'
     ]}
 
 

tests/rpc/test_rpc_telegram.py

@@ -27,8 +27,9 @@ from freqtrade.persistence.models import Order
 from freqtrade.rpc import RPC
 from freqtrade.rpc.rpc import RPCException
 from freqtrade.rpc.telegram import Telegram, authorized_only
-from tests.conftest import (CURRENT_TEST_STRATEGY, create_mock_trades, get_patched_freqtradebot,
+from tests.conftest import (CURRENT_TEST_STRATEGY, create_mock_trades, create_mock_trades_usdt,
-                            log_has, log_has_re, patch_exchange, patch_get_signal, patch_whitelist)
+                            get_patched_freqtradebot, log_has, log_has_re, patch_exchange,
+                            patch_get_signal, patch_whitelist)
 
 
 class DummyCls(Telegram):
@@ -404,12 +405,10 @@ def test_status_table_handle(default_conf, update, ticker, fee, mocker) -> None:
     assert msg_mock.call_count == 1
 
 
-def test_daily_handle(default_conf, update, ticker, limit_buy_order, fee,
+def test_daily_handle(default_conf_usdt, update, ticker, fee, mocker, time_machine) -> None:
-                      limit_sell_order, mocker) -> None:
-    default_conf['max_open_trades'] = 1
     mocker.patch(
         'freqtrade.rpc.rpc.CryptoToFiatConverter._find_price',
-        return_value=15000.0
+        return_value=1.1
     )
     mocker.patch.multiple(
         'freqtrade.exchange.Exchange',
@@ -417,25 +416,12 @@ def test_daily_handle(default_conf, update, ticker, limit_buy_order, fee,
         get_fee=fee,
     )
 
-    telegram, freqtradebot, msg_mock = get_telegram_testobject(mocker, default_conf)
+    telegram, freqtradebot, msg_mock = get_telegram_testobject(mocker, default_conf_usdt)
-
-    patch_get_signal(freqtradebot)
 
+    # Move date to within day
+    time_machine.move_to('2022-06-11 08:00:00+00:00')
     # Create some test data
-    freqtradebot.enter_positions()
+    create_mock_trades_usdt(fee)
-    trade = Trade.query.first()
-    assert trade
-
-    # Simulate fulfilled LIMIT_BUY order for trade
-    oobj = Order.parse_from_ccxt_object(limit_buy_order, limit_buy_order['symbol'], 'buy')
-    trade.update_trade(oobj)
-
-    # Simulate fulfilled LIMIT_SELL order for trade
-    oobjs = Order.parse_from_ccxt_object(limit_sell_order, limit_sell_order['symbol'], 'sell')
-    trade.update_trade(oobjs)
-
-    trade.close_date = datetime.utcnow()
-    trade.is_open = False
 
     # Try valid data
     # /daily 2
@@ -446,10 +432,11 @@ def test_daily_handle(default_conf, update, ticker, limit_buy_order, fee,
     assert "Daily Profit over the last 2 days</b>:" in msg_mock.call_args_list[0][0][0]
     assert 'Day ' in msg_mock.call_args_list[0][0][0]
     assert str(datetime.utcnow().date()) in msg_mock.call_args_list[0][0][0]
-    assert str('  0.00006217 BTC') in msg_mock.call_args_list[0][0][0]
+    assert '  13.83 USDT' in msg_mock.call_args_list[0][0][0]
-    assert str('  0.933 USD') in msg_mock.call_args_list[0][0][0]
+    assert '  15.21 USD' in msg_mock.call_args_list[0][0][0]
-    assert str('  1 trade') in msg_mock.call_args_list[0][0][0]
+    assert '(2)' in msg_mock.call_args_list[0][0][0]
-    assert str('  0 trade') in msg_mock.call_args_list[0][0][0]
+    assert '(2)  13.83 USDT  15.21 USD  1.31%' in msg_mock.call_args_list[0][0][0]
+    assert '(0)' in msg_mock.call_args_list[0][0][0]
 
     # Reset msg_mock
     msg_mock.reset_mock()
@@ -458,32 +445,23 @@ def test_daily_handle(default_conf, update, ticker, limit_buy_order, fee,
     assert msg_mock.call_count == 1
     assert "Daily Profit over the last 7 days</b>:" in msg_mock.call_args_list[0][0][0]
     assert str(datetime.utcnow().date()) in msg_mock.call_args_list[0][0][0]
-    assert str('  0.00006217 BTC') in msg_mock.call_args_list[0][0][0]
+    assert str((datetime.utcnow() - timedelta(days=5)).date()) in msg_mock.call_args_list[0][0][0]
-    assert str('  0.933 USD') in msg_mock.call_args_list[0][0][0]
+    assert '  13.83 USDT' in msg_mock.call_args_list[0][0][0]
-    assert str('  1 trade') in msg_mock.call_args_list[0][0][0]
+    assert '  15.21 USD' in msg_mock.call_args_list[0][0][0]
-    assert str('  0 trade') in msg_mock.call_args_list[0][0][0]
+    assert '(2)' in msg_mock.call_args_list[0][0][0]
+    assert '(1)' in msg_mock.call_args_list[0][0][0]
+    assert '(0)' in msg_mock.call_args_list[0][0][0]
 
     # Reset msg_mock
     msg_mock.reset_mock()
-    freqtradebot.config['max_open_trades'] = 2
-    # Add two other trades
-    n = freqtradebot.enter_positions()
-    assert n == 2
-
-    trades = Trade.query.all()
-    for trade in trades:
-        trade.update_trade(oobj)
-        trade.update_trade(oobjs)
-        trade.close_date = datetime.utcnow()
-        trade.is_open = False
 
     # /daily 1
     context = MagicMock()
     context.args = ["1"]
     telegram._daily(update=update, context=context)
-    assert str('  0.00018651 BTC') in msg_mock.call_args_list[0][0][0]
+    assert '  13.83 USDT' in msg_mock.call_args_list[0][0][0]
-    assert str('  2.798 USD') in msg_mock.call_args_list[0][0][0]
+    assert '  15.21 USD' in msg_mock.call_args_list[0][0][0]
-    assert str('  3 trades') in msg_mock.call_args_list[0][0][0]
+    assert '(2)' in msg_mock.call_args_list[0][0][0]
 
 
 def test_daily_wrong_input(default_conf, update, ticker, mocker) -> None:
@@ -512,15 +490,14 @@ def test_daily_wrong_input(default_conf, update, ticker, mocker) -> None:
     context = MagicMock()
     context.args = ["today"]
     telegram._daily(update=update, context=context)
-    assert str('Daily Profit over the last 7 days</b>:') in msg_mock.call_args_list[0][0][0]
+    assert 'Daily Profit over the last 7 days</b>:' in msg_mock.call_args_list[0][0][0]
 
 
-def test_weekly_handle(default_conf, update, ticker, limit_buy_order, fee,
+def test_weekly_handle(default_conf_usdt, update, ticker, fee, mocker, time_machine) -> None:
-                       limit_sell_order, mocker) -> None:
+    default_conf_usdt['max_open_trades'] = 1
-    default_conf['max_open_trades'] = 1
     mocker.patch(
         'freqtrade.rpc.rpc.CryptoToFiatConverter._find_price',
-        return_value=15000.0
+        return_value=1.1
     )
     mocker.patch.multiple(
         'freqtrade.exchange.Exchange',
@@ -528,25 +505,10 @@ def test_weekly_handle(default_conf, update, ticker, limit_buy_order, fee,
         get_fee=fee,
     )
 
-    telegram, freqtradebot, msg_mock = get_telegram_testobject(mocker, default_conf)
+    telegram, freqtradebot, msg_mock = get_telegram_testobject(mocker, default_conf_usdt)
-
+    # Move to saturday - so all trades are within that week
-    patch_get_signal(freqtradebot)
+    time_machine.move_to('2022-06-11')
-
+    create_mock_trades_usdt(fee)
-    # Create some test data
-    freqtradebot.enter_positions()
-    trade = Trade.query.first()
-    assert trade
-
-    # Simulate fulfilled LIMIT_BUY order for trade
-    oobj = Order.parse_from_ccxt_object(limit_buy_order, limit_buy_order['symbol'], 'buy')
-    trade.update_trade(oobj)
-
-    # Simulate fulfilled LIMIT_SELL order for trade
-    oobjs = Order.parse_from_ccxt_object(limit_sell_order, limit_sell_order['symbol'], 'sell')
-    trade.update_trade(oobjs)
-
-    trade.close_date = datetime.utcnow()
-    trade.is_open = False
 
     # Try valid data
     # /weekly 2
@@ -560,10 +522,10 @@ def test_weekly_handle(default_conf, update, ticker, limit_buy_order, fee,
     today = datetime.utcnow().date()
     first_iso_day_of_current_week = today - timedelta(days=today.weekday())
     assert str(first_iso_day_of_current_week) in msg_mock.call_args_list[0][0][0]
-    assert str('  0.00006217 BTC') in msg_mock.call_args_list[0][0][0]
+    assert '  9.83 USDT' in msg_mock.call_args_list[0][0][0]
-    assert str('  0.933 USD') in msg_mock.call_args_list[0][0][0]
+    assert '  10.81 USD' in msg_mock.call_args_list[0][0][0]
-    assert str('  1 trade') in msg_mock.call_args_list[0][0][0]
+    assert '(3)' in msg_mock.call_args_list[0][0][0]
-    assert str('  0 trade') in msg_mock.call_args_list[0][0][0]
+    assert '(0)' in msg_mock.call_args_list[0][0][0]
 
     # Reset msg_mock
     msg_mock.reset_mock()
@@ -573,44 +535,10 @@ def test_weekly_handle(default_conf, update, ticker, limit_buy_order, fee,
     assert "Weekly Profit over the last 8 weeks (starting from Monday)</b>:" \
            in msg_mock.call_args_list[0][0][0]
     assert 'Weekly' in msg_mock.call_args_list[0][0][0]
-    assert str('  0.00006217 BTC') in msg_mock.call_args_list[0][0][0]
+    assert '  9.83 USDT' in msg_mock.call_args_list[0][0][0]
-    assert str('  0.933 USD') in msg_mock.call_args_list[0][0][0]
+    assert '  10.81 USD' in msg_mock.call_args_list[0][0][0]
-    assert str('  1 trade') in msg_mock.call_args_list[0][0][0]
+    assert '(3)' in msg_mock.call_args_list[0][0][0]
-    assert str('  0 trade') in msg_mock.call_args_list[0][0][0]
+    assert '(0)' in msg_mock.call_args_list[0][0][0]
-
-    # Reset msg_mock
-    msg_mock.reset_mock()
-    freqtradebot.config['max_open_trades'] = 2
-    # Add two other trades
-    n = freqtradebot.enter_positions()
-    assert n == 2
-
-    trades = Trade.query.all()
-    for trade in trades:
-        trade.update_trade(oobj)
-        trade.update_trade(oobjs)
-        trade.close_date = datetime.utcnow()
-        trade.is_open = False
-
-    # /weekly 1
-    # By default, the 8 previous weeks are shown
-    # So the previous modified trade should be excluded from the stats
-    context = MagicMock()
-    context.args = ["1"]
-    telegram._weekly(update=update, context=context)
-    assert str('  0.00018651 BTC') in msg_mock.call_args_list[0][0][0]
-    assert str('  2.798 USD') in msg_mock.call_args_list[0][0][0]
-    assert str('  3 trades') in msg_mock.call_args_list[0][0][0]
-
-
-def test_weekly_wrong_input(default_conf, update, ticker, mocker) -> None:
-    mocker.patch.multiple(
-        'freqtrade.exchange.Exchange',
-        fetch_ticker=ticker
-    )
-
-    telegram, freqtradebot, msg_mock = get_telegram_testobject(mocker, default_conf)
-    patch_get_signal(freqtradebot)
 
     # Try invalid data
     msg_mock.reset_mock()
@@ -629,16 +557,17 @@ def test_weekly_wrong_input(default_conf, update, ticker, mocker) -> None:
     context = MagicMock()
     context.args = ["this week"]
     telegram._weekly(update=update, context=context)
-    assert str('Weekly Profit over the last 8 weeks (starting from Monday)</b>:') \
+    assert (
+        'Weekly Profit over the last 8 weeks (starting from Monday)</b>:'
         in msg_mock.call_args_list[0][0][0]
+    )
 
 
-def test_monthly_handle(default_conf, update, ticker, limit_buy_order, fee,
+def test_monthly_handle(default_conf_usdt, update, ticker, fee, mocker, time_machine) -> None:
-                        limit_sell_order, mocker) -> None:
+    default_conf_usdt['max_open_trades'] = 1
-    default_conf['max_open_trades'] = 1
     mocker.patch(
         'freqtrade.rpc.rpc.CryptoToFiatConverter._find_price',
-        return_value=15000.0
+        return_value=1.1
     )
     mocker.patch.multiple(
         'freqtrade.exchange.Exchange',
@@ -646,25 +575,10 @@ def test_monthly_handle(default_conf, update, ticker, limit_buy_order, fee,
         get_fee=fee,
     )
 
-    telegram, freqtradebot, msg_mock = get_telegram_testobject(mocker, default_conf)
+    telegram, freqtradebot, msg_mock = get_telegram_testobject(mocker, default_conf_usdt)
-
+    # Move to day within the month so all mock trades fall into this week.
-    patch_get_signal(freqtradebot)
+    time_machine.move_to('2022-06-11')
-
+    create_mock_trades_usdt(fee)
-    # Create some test data
-    freqtradebot.enter_positions()
-    trade = Trade.query.first()
-    assert trade
-
-    # Simulate fulfilled LIMIT_BUY order for trade
-    oobj = Order.parse_from_ccxt_object(limit_buy_order, limit_buy_order['symbol'], 'buy')
-    trade.update_trade(oobj)
-
-    # Simulate fulfilled LIMIT_SELL order for trade
-    oobjs = Order.parse_from_ccxt_object(limit_sell_order, limit_sell_order['symbol'], 'sell')
-    trade.update_trade(oobjs)
-
-    trade.close_date = datetime.utcnow()
-    trade.is_open = False
 
     # Try valid data
     # /monthly 2
@@ -677,10 +591,10 @@ def test_monthly_handle(default_conf, update, ticker, limit_buy_order, fee,
     today = datetime.utcnow().date()
     current_month = f"{today.year}-{today.month:02} "
     assert current_month in msg_mock.call_args_list[0][0][0]
-    assert str('  0.00006217 BTC') in msg_mock.call_args_list[0][0][0]
+    assert '  9.83 USDT' in msg_mock.call_args_list[0][0][0]
-    assert str('  0.933 USD') in msg_mock.call_args_list[0][0][0]
+    assert '  10.81 USD' in msg_mock.call_args_list[0][0][0]
-    assert str('  1 trade') in msg_mock.call_args_list[0][0][0]
+    assert '(3)' in msg_mock.call_args_list[0][0][0]
-    assert str('  0 trade') in msg_mock.call_args_list[0][0][0]
+    assert '(0)' in msg_mock.call_args_list[0][0][0]
 
     # Reset msg_mock
     msg_mock.reset_mock()
@@ -691,24 +605,13 @@ def test_monthly_handle(default_conf, update, ticker, limit_buy_order, fee,
     assert 'Monthly Profit over the last 6 months</b>:' in msg_mock.call_args_list[0][0][0]
     assert 'Month ' in msg_mock.call_args_list[0][0][0]
     assert current_month in msg_mock.call_args_list[0][0][0]
-    assert str('  0.00006217 BTC') in msg_mock.call_args_list[0][0][0]
+    assert '  9.83 USDT' in msg_mock.call_args_list[0][0][0]
-    assert str('  0.933 USD') in msg_mock.call_args_list[0][0][0]
+    assert '  10.81 USD' in msg_mock.call_args_list[0][0][0]
-    assert str('  1 trade') in msg_mock.call_args_list[0][0][0]
+    assert '(3)' in msg_mock.call_args_list[0][0][0]
-    assert str('  0 trade') in msg_mock.call_args_list[0][0][0]
+    assert '(0)' in msg_mock.call_args_list[0][0][0]
 
     # Reset msg_mock
     msg_mock.reset_mock()
-    freqtradebot.config['max_open_trades'] = 2
-    # Add two other trades
-    n = freqtradebot.enter_positions()
-    assert n == 2
-
-    trades = Trade.query.all()
-    for trade in trades:
-        trade.update_trade(oobj)
-        trade.update_trade(oobjs)
-        trade.close_date = datetime.utcnow()
-        trade.is_open = False
 
     # /monthly 12
     context = MagicMock()
@@ -716,24 +619,14 @@ def test_monthly_handle(default_conf, update, ticker, limit_buy_order, fee,
     telegram._monthly(update=update, context=context)
     assert msg_mock.call_count == 1
     assert 'Monthly Profit over the last 12 months</b>:' in msg_mock.call_args_list[0][0][0]
-    assert str('  0.00018651 BTC') in msg_mock.call_args_list[0][0][0]
+    assert '  9.83 USDT' in msg_mock.call_args_list[0][0][0]
-    assert str('  2.798 USD') in msg_mock.call_args_list[0][0][0]
+    assert '  10.81 USD' in msg_mock.call_args_list[0][0][0]
-    assert str('  3 trades') in msg_mock.call_args_list[0][0][0]
+    assert '(3)' in msg_mock.call_args_list[0][0][0]
 
     # The one-digit months should contain a zero, Eg: September 2021 = "2021-09"
     # Since we loaded the last 12 months, any month should appear
     assert str('-09') in msg_mock.call_args_list[0][0][0]
 
-
-def test_monthly_wrong_input(default_conf, update, ticker, mocker) -> None:
-    mocker.patch.multiple(
-        'freqtrade.exchange.Exchange',
-        fetch_ticker=ticker
-    )
-
-    telegram, freqtradebot, msg_mock = get_telegram_testobject(mocker, default_conf)
-    patch_get_signal(freqtradebot)
-
     # Try invalid data
     msg_mock.reset_mock()
     freqtradebot.state = State.RUNNING
@@ -754,16 +647,16 @@ def test_monthly_wrong_input(default_conf, update, ticker, mocker) -> None:
     assert str('Monthly Profit over the last 6 months</b>:') in msg_mock.call_args_list[0][0][0]
 
 
-def test_profit_handle(default_conf, update, ticker, ticker_sell_up, fee,
+def test_profit_handle(default_conf_usdt, update, ticker_usdt, ticker_sell_up, fee,
-                       limit_buy_order, limit_sell_order, mocker) -> None:
+                       limit_sell_order_usdt, mocker) -> None:
-    mocker.patch('freqtrade.rpc.rpc.CryptoToFiatConverter._find_price', return_value=15000.0)
+    mocker.patch('freqtrade.rpc.rpc.CryptoToFiatConverter._find_price', return_value=1.1)
     mocker.patch.multiple(
         'freqtrade.exchange.Exchange',
-        fetch_ticker=ticker,
+        fetch_ticker=ticker_usdt,
         get_fee=fee,
     )
 
-    telegram, freqtradebot, msg_mock = get_telegram_testobject(mocker, default_conf)
+    telegram, freqtradebot, msg_mock = get_telegram_testobject(mocker, default_conf_usdt)
     patch_get_signal(freqtradebot)
 
     telegram._profit(update=update, context=MagicMock())
@@ -775,10 +668,6 @@ def test_profit_handle(default_conf, update, ticker, ticker_sell_up, fee,
     freqtradebot.enter_positions()
     trade = Trade.query.first()
 
-    # Simulate fulfilled LIMIT_BUY order for trade
-    oobj = Order.parse_from_ccxt_object(limit_buy_order, limit_buy_order['symbol'], 'buy')
-    trade.update_trade(oobj)
-
     context = MagicMock()
     # Test with invalid 2nd argument (should silently pass)
     context.args = ["aaa"]
@@ -786,15 +675,16 @@ def test_profit_handle(default_conf, update, ticker, ticker_sell_up, fee,
     assert msg_mock.call_count == 1
     assert 'No closed trade' in msg_mock.call_args_list[-1][0][0]
     assert '*ROI:* All trades' in msg_mock.call_args_list[-1][0][0]
-    mocker.patch('freqtrade.wallets.Wallets.get_starting_balance', return_value=0.01)
+    mocker.patch('freqtrade.wallets.Wallets.get_starting_balance', return_value=1000)
-    assert ('∙ `-0.000005 BTC (-0.50%) (-0.0 \N{GREEK CAPITAL LETTER SIGMA}%)`'
+    assert ('∙ `0.298 USDT (0.50%) (0.03 \N{GREEK CAPITAL LETTER SIGMA}%)`'
             in msg_mock.call_args_list[-1][0][0])
     msg_mock.reset_mock()
 
     # Update the ticker with a market going up
     mocker.patch('freqtrade.exchange.Exchange.fetch_ticker', ticker_sell_up)
     # Simulate fulfilled LIMIT_SELL order for trade
-    oobj = Order.parse_from_ccxt_object(limit_sell_order, limit_sell_order['symbol'], 'sell')
+    oobj = Order.parse_from_ccxt_object(
+        limit_sell_order_usdt, limit_sell_order_usdt['symbol'], 'sell')
     trade.update_trade(oobj)
 
     trade.close_date = datetime.now(timezone.utc)
@@ -805,20 +695,22 @@ def test_profit_handle(default_conf, update, ticker, ticker_sell_up, fee,
     telegram._profit(update=update, context=context)
     assert msg_mock.call_count == 1
     assert '*ROI:* Closed trades' in msg_mock.call_args_list[-1][0][0]
-    assert ('∙ `0.00006217 BTC (6.20%) (0.62 \N{GREEK CAPITAL LETTER SIGMA}%)`'
+    assert ('∙ `5.685 USDT (9.45%) (0.57 \N{GREEK CAPITAL LETTER SIGMA}%)`'
             in msg_mock.call_args_list[-1][0][0])
-    assert '∙ `0.933 USD`' in msg_mock.call_args_list[-1][0][0]
+    assert '∙ `6.253 USD`' in msg_mock.call_args_list[-1][0][0]
     assert '*ROI:* All trades' in msg_mock.call_args_list[-1][0][0]
-    assert ('∙ `0.00006217 BTC (6.20%) (0.62 \N{GREEK CAPITAL LETTER SIGMA}%)`'
+    assert ('∙ `5.685 USDT (9.45%) (0.57 \N{GREEK CAPITAL LETTER SIGMA}%)`'
             in msg_mock.call_args_list[-1][0][0])
-    assert '∙ `0.933 USD`' in msg_mock.call_args_list[-1][0][0]
+    assert '∙ `6.253 USD`' in msg_mock.call_args_list[-1][0][0]
 
-    assert '*Best Performing:* `ETH/BTC: 6.20%`' in msg_mock.call_args_list[-1][0][0]
+    assert '*Best Performing:* `ETH/USDT: 9.45%`' in msg_mock.call_args_list[-1][0][0]
+    assert '*Max Drawdown:*' in msg_mock.call_args_list[-1][0][0]
+    assert '*Profit factor:*' in msg_mock.call_args_list[-1][0][0]
+    assert '*Trading volume:* `60 USDT`' in msg_mock.call_args_list[-1][0][0]
 
 
 @pytest.mark.parametrize('is_short', [True, False])
-def test_telegram_stats(default_conf, update, ticker, ticker_sell_up, fee,
+def test_telegram_stats(default_conf, update, ticker, fee, mocker, is_short) -> None:
-                        limit_buy_order, limit_sell_order, mocker, is_short) -> None:
     mocker.patch('freqtrade.rpc.rpc.CryptoToFiatConverter._find_price', return_value=15000.0)
     mocker.patch.multiple(
         'freqtrade.exchange.Exchange',
@@ -1350,71 +1242,43 @@ def test_force_enter_no_pair(default_conf, update, mocker) -> None:
     assert fbuy_mock.call_count == 1
 
 
-def test_telegram_performance_handle(default_conf, update, ticker, fee,
+def test_telegram_performance_handle(default_conf_usdt, update, ticker, fee, mocker) -> None:
-                                     limit_buy_order, limit_sell_order, mocker) -> None:
 
     mocker.patch.multiple(
         'freqtrade.exchange.Exchange',
         fetch_ticker=ticker,
         get_fee=fee,
     )
-    telegram, freqtradebot, msg_mock = get_telegram_testobject(mocker, default_conf)
+    telegram, freqtradebot, msg_mock = get_telegram_testobject(mocker, default_conf_usdt)
-    patch_get_signal(freqtradebot)
 
     # Create some test data
-    freqtradebot.enter_positions()
+    create_mock_trades_usdt(fee)
-    trade = Trade.query.first()
-    assert trade
 
-    # Simulate fulfilled LIMIT_BUY order for trade
-    oobj = Order.parse_from_ccxt_object(limit_buy_order, limit_buy_order['symbol'], 'buy')
-    trade.update_trade(oobj)
-
-    # Simulate fulfilled LIMIT_SELL order for trade
-    oobj = Order.parse_from_ccxt_object(limit_sell_order, limit_sell_order['symbol'], 'sell')
-    trade.update_trade(oobj)
-
-    trade.close_date = datetime.utcnow()
-    trade.is_open = False
     telegram._performance(update=update, context=MagicMock())
     assert msg_mock.call_count == 1
     assert 'Performance' in msg_mock.call_args_list[0][0][0]
-    assert '<code>ETH/BTC\t0.00006217 BTC (6.20%) (1)</code>' in msg_mock.call_args_list[0][0][0]
+    assert '<code>XRP/USDT\t9.842 USDT (10.00%) (1)</code>' in msg_mock.call_args_list[0][0][0]
 
 
 def test_telegram_entry_tag_performance_handle(
-        default_conf, update, ticker, fee, limit_buy_order, limit_sell_order, mocker) -> None:
+        default_conf_usdt, update, ticker, fee, mocker) -> None:
     mocker.patch.multiple(
         'freqtrade.exchange.Exchange',
         fetch_ticker=ticker,
         get_fee=fee,
     )
-    telegram, freqtradebot, msg_mock = get_telegram_testobject(mocker, default_conf)
+    telegram, freqtradebot, msg_mock = get_telegram_testobject(mocker, default_conf_usdt)
     patch_get_signal(freqtradebot)
 
-    # Create some test data
+    create_mock_trades_usdt(fee)
-    freqtradebot.enter_positions()
-    trade = Trade.query.first()
-    assert trade
 
-    # Simulate fulfilled LIMIT_BUY order for trade
-    oobj = Order.parse_from_ccxt_object(limit_buy_order, limit_buy_order['symbol'], 'buy')
-    trade.update_trade(oobj)
-
-    trade.enter_tag = "TESTBUY"
-    # Simulate fulfilled LIMIT_SELL order for trade
-    oobj = Order.parse_from_ccxt_object(limit_sell_order, limit_sell_order['symbol'], 'sell')
-    trade.update_trade(oobj)
-
-    trade.close_date = datetime.utcnow()
-    trade.is_open = False
     context = MagicMock()
     telegram._enter_tag_performance(update=update, context=context)
     assert msg_mock.call_count == 1
     assert 'Entry Tag Performance' in msg_mock.call_args_list[0][0][0]
-    assert '<code>TESTBUY\t0.00006217 BTC (6.20%) (1)</code>' in msg_mock.call_args_list[0][0][0]
+    assert '<code>TEST1\t3.987 USDT (5.00%) (1)</code>' in msg_mock.call_args_list[0][0][0]
 
-    context.args = [trade.pair]
+    context.args = ['XRP/USDT']
     telegram._enter_tag_performance(update=update, context=context)
     assert msg_mock.call_count == 2
 
@@ -1427,37 +1291,24 @@ def test_telegram_entry_tag_performance_handle(
     assert "Error" in msg_mock.call_args_list[0][0][0]
 
 
-def test_telegram_exit_reason_performance_handle(default_conf, update, ticker, fee,
+def test_telegram_exit_reason_performance_handle(default_conf_usdt, update, ticker, fee,
-                                                 limit_buy_order, limit_sell_order, mocker) -> None:
+                                                 mocker) -> None:
     mocker.patch.multiple(
         'freqtrade.exchange.Exchange',
         fetch_ticker=ticker,
         get_fee=fee,
     )
-    telegram, freqtradebot, msg_mock = get_telegram_testobject(mocker, default_conf)
+    telegram, freqtradebot, msg_mock = get_telegram_testobject(mocker, default_conf_usdt)
     patch_get_signal(freqtradebot)
 
-    # Create some test data
+    create_mock_trades_usdt(fee)
-    freqtradebot.enter_positions()
-    trade = Trade.query.first()
-    assert trade
-    trade.exit_reason = 'TESTSELL'
-    # Simulate fulfilled LIMIT_BUY order for trade
-    oobj = Order.parse_from_ccxt_object(limit_buy_order, limit_buy_order['symbol'], 'buy')
-    trade.update_trade(oobj)
 
-    # Simulate fulfilled LIMIT_SELL order for trade
-    oobj = Order.parse_from_ccxt_object(limit_sell_order, limit_sell_order['symbol'], 'sell')
-    trade.update_trade(oobj)
-
-    trade.close_date = datetime.utcnow()
-    trade.is_open = False
     context = MagicMock()
     telegram._exit_reason_performance(update=update, context=context)
     assert msg_mock.call_count == 1
     assert 'Exit Reason Performance' in msg_mock.call_args_list[0][0][0]
-    assert '<code>TESTSELL\t0.00006217 BTC (6.20%) (1)</code>' in msg_mock.call_args_list[0][0][0]
+    assert '<code>roi\t9.842 USDT (10.00%) (1)</code>' in msg_mock.call_args_list[0][0][0]
-    context.args = [trade.pair]
+    context.args = ['XRP/USDT']
 
     telegram._exit_reason_performance(update=update, context=context)
     assert msg_mock.call_count == 2
@@ -1471,43 +1322,27 @@ def test_telegram_exit_reason_performance_handle(default_conf, update, ticker, f
     assert "Error" in msg_mock.call_args_list[0][0][0]
 
 
-def test_telegram_mix_tag_performance_handle(default_conf, update, ticker, fee,
+def test_telegram_mix_tag_performance_handle(default_conf_usdt, update, ticker, fee,
-                                             limit_buy_order, limit_sell_order, mocker) -> None:
+                                             mocker) -> None:
     mocker.patch.multiple(
         'freqtrade.exchange.Exchange',
         fetch_ticker=ticker,
         get_fee=fee,
     )
-    telegram, freqtradebot, msg_mock = get_telegram_testobject(mocker, default_conf)
+    telegram, freqtradebot, msg_mock = get_telegram_testobject(mocker, default_conf_usdt)
     patch_get_signal(freqtradebot)
 
     # Create some test data
-    freqtradebot.enter_positions()
+    create_mock_trades_usdt(fee)
-    trade = Trade.query.first()
-    assert trade
-
-    trade.enter_tag = "TESTBUY"
-    trade.exit_reason = "TESTSELL"
-
-    # Simulate fulfilled LIMIT_BUY order for trade
-    oobj = Order.parse_from_ccxt_object(limit_buy_order, limit_buy_order['symbol'], 'buy')
-    trade.update_trade(oobj)
-
-    # Simulate fulfilled LIMIT_SELL order for trade
-    oobj = Order.parse_from_ccxt_object(limit_sell_order, limit_sell_order['symbol'], 'sell')
-    trade.update_trade(oobj)
-
-    trade.close_date = datetime.utcnow()
-    trade.is_open = False
 
     context = MagicMock()
     telegram._mix_tag_performance(update=update, context=context)
     assert msg_mock.call_count == 1
     assert 'Mix Tag Performance' in msg_mock.call_args_list[0][0][0]
-    assert ('<code>TESTBUY TESTSELL\t0.00006217 BTC (6.20%) (1)</code>'
+    assert ('<code>TEST3 roi\t9.842 USDT (10.00%) (1)</code>'
             in msg_mock.call_args_list[0][0][0])
 
-    context.args = [trade.pair]
+    context.args = ['XRP/USDT']
     telegram._mix_tag_performance(update=update, context=context)
     assert msg_mock.call_count == 2
 
@@ -1847,7 +1682,7 @@ def test_send_msg_buy_notification(default_conf, mocker, caplog, message_type,
     leverage_text = f'*Leverage:* `{leverage}`\n' if leverage and leverage != 1.0 else ''
 
     assert msg_mock.call_args[0][0] == (
-        f'\N{LARGE BLUE CIRCLE} *Binance:* {enter} ETH/BTC (#1)\n'
+        f'\N{LARGE BLUE CIRCLE} *Binance (dry):* {enter} ETH/BTC (#1)\n'
         f'*Enter Tag:* `{enter_signal}`\n'
         '*Amount:* `1333.33333333`\n'
         f'{leverage_text}'
@@ -1887,7 +1722,7 @@ def test_send_msg_buy_cancel_notification(default_conf, mocker, message_type, en
         'pair': 'ETH/BTC',
         'reason': CANCEL_REASON['TIMEOUT']
     })
-    assert (msg_mock.call_args[0][0] == '\N{WARNING SIGN} *Binance:* '
+    assert (msg_mock.call_args[0][0] == '\N{WARNING SIGN} *Binance (dry):* '
             'Cancelling enter Order for ETH/BTC (#1). '
             'Reason: cancelled due to timeout.')
 
@@ -1949,7 +1784,7 @@ def test_send_msg_entry_fill_notification(default_conf, mocker, message_type, en
     })
     leverage_text = f'*Leverage:* `{leverage}`\n' if leverage != 1.0 else ''
     assert msg_mock.call_args[0][0] == (
-        f'\N{CHECK MARK} *Binance:* {entered}ed ETH/BTC (#1)\n'
+        f'\N{CHECK MARK} *Binance (dry):* {entered}ed ETH/BTC (#1)\n'
         f'*Enter Tag:* `{enter_signal}`\n'
         '*Amount:* `1333.33333333`\n'
         f"{leverage_text}"
@@ -1987,7 +1822,7 @@ def test_send_msg_sell_notification(default_conf, mocker) -> None:
         'close_date': arrow.utcnow(),
     })
     assert msg_mock.call_args[0][0] == (
-        '\N{WARNING SIGN} *Binance:* Exiting KEY/ETH (#1)\n'
+        '\N{WARNING SIGN} *Binance (dry):* Exiting KEY/ETH (#1)\n'
         '*Unrealized Profit:* `-57.41% (loss: -0.05746268 ETH / -24.812 USD)`\n'
         '*Enter Tag:* `buy_signal1`\n'
         '*Exit Reason:* `stop_loss`\n'
@@ -2021,7 +1856,7 @@ def test_send_msg_sell_notification(default_conf, mocker) -> None:
         'close_date': arrow.utcnow(),
     })
     assert msg_mock.call_args[0][0] == (
-        '\N{WARNING SIGN} *Binance:* Exiting KEY/ETH (#1)\n'
+        '\N{WARNING SIGN} *Binance (dry):* Exiting KEY/ETH (#1)\n'
         '*Unrealized Profit:* `-57.41%`\n'
         '*Enter Tag:* `buy_signal1`\n'
         '*Exit Reason:* `stop_loss`\n'
@@ -2050,10 +1885,12 @@ def test_send_msg_sell_cancel_notification(default_conf, mocker) -> None:
         'reason': 'Cancelled on exchange'
     })
     assert msg_mock.call_args[0][0] == (
-        '\N{WARNING SIGN} *Binance:* Cancelling exit Order for KEY/ETH (#1).'
+        '\N{WARNING SIGN} *Binance (dry):* Cancelling exit Order for KEY/ETH (#1).'
         ' Reason: Cancelled on exchange.')
 
     msg_mock.reset_mock()
+    # Test with live mode (no dry appendix)
+    telegram._config['dry_run'] = False
     telegram.send_msg({
         'type': RPCMessageType.EXIT_CANCEL,
         'trade_id': 1,
@@ -2102,7 +1939,7 @@ def test_send_msg_sell_fill_notification(default_conf, mocker, direction,
 
     leverage_text = f'*Leverage:* `{leverage}`\n' if leverage and leverage != 1.0 else ''
     assert msg_mock.call_args[0][0] == (
-        '\N{WARNING SIGN} *Binance:* Exited KEY/ETH (#1)\n'
+        '\N{WARNING SIGN} *Binance (dry):* Exited KEY/ETH (#1)\n'
         '*Profit:* `-57.41%`\n'
         f'*Enter Tag:* `{enter_signal}`\n'
         '*Exit Reason:* `stop_loss`\n'
@@ -2158,6 +1995,7 @@ def test_send_msg_unknown_type(default_conf, mocker) -> None:
 def test_send_msg_buy_notification_no_fiat(
         default_conf, mocker, message_type, enter, enter_signal, leverage) -> None:
     del default_conf['fiat_display_currency']
+    default_conf['dry_run'] = False
     telegram, _, msg_mock = get_telegram_testobject(mocker, default_conf)
 
     telegram.send_msg({
@@ -2227,7 +2065,7 @@ def test_send_msg_sell_notification_no_fiat(
 
     leverage_text = f'*Leverage:* `{leverage}`\n' if leverage and leverage != 1.0 else ''
     assert msg_mock.call_args[0][0] == (
-        '\N{WARNING SIGN} *Binance:* Exiting KEY/ETH (#1)\n'
+        '\N{WARNING SIGN} *Binance (dry):* Exiting KEY/ETH (#1)\n'
         '*Unrealized Profit:* `-57.41%`\n'
         f'*Enter Tag:* `{enter_signal}`\n'
         '*Exit Reason:* `stop_loss`\n'

tests/rpc/test_rpc_webhook.py

@@ -1,5 +1,6 @@
 # pragma pylint: disable=missing-docstring, C0103, protected-access
 
+from datetime import datetime, timedelta
 from unittest.mock import MagicMock
 
 import pytest
@@ -7,6 +8,7 @@ from requests import RequestException
 
 from freqtrade.enums import ExitType, RPCMessageType
 from freqtrade.rpc import RPC
+from freqtrade.rpc.discord import Discord
 from freqtrade.rpc.webhook import Webhook
 from tests.conftest import get_patched_freqtradebot, log_has
 
@@ -406,3 +408,42 @@ def test__send_msg_with_raw_format(default_conf, mocker, caplog):
     webhook._send_msg(msg)
 
     assert post.call_args[1] == {'data': msg['data'], 'headers': {'Content-Type': 'text/plain'}}
+
+
+def test_send_msg_discord(default_conf, mocker):
+
+    default_conf["discord"] = {
+        'enabled': True,
+        'webhook_url': "https://webhookurl..."
+    }
+    msg_mock = MagicMock()
+    mocker.patch("freqtrade.rpc.webhook.Webhook._send_msg", msg_mock)
+    discord = Discord(RPC(get_patched_freqtradebot(mocker, default_conf)), default_conf)
+
+    msg = {
+        'type': RPCMessageType.EXIT_FILL,
+        'trade_id': 1,
+        'exchange': 'Binance',
+        'pair': 'ETH/BTC',
+        'direction': 'Long',
+        'gain': "profit",
+        'close_rate': 0.005,
+        'amount': 0.8,
+        'order_type': 'limit',
+        'open_date': datetime.now() - timedelta(days=1),
+        'close_date': datetime.now(),
+        'open_rate': 0.004,
+        'current_rate': 0.005,
+        'profit_amount': 0.001,
+        'profit_ratio': 0.20,
+        'stake_currency': 'BTC',
+        'enter_tag': 'enter_tagggg',
+        'exit_reason': ExitType.STOP_LOSS.value,
+    }
+    discord.send_msg(msg=msg)
+
+    assert msg_mock.call_count == 1
+    assert 'embeds' in msg_mock.call_args_list[0][0][0]
+    assert 'title' in msg_mock.call_args_list[0][0][0]['embeds'][0]
+    assert 'color' in msg_mock.call_args_list[0][0][0]['embeds'][0]
+    assert 'fields' in msg_mock.call_args_list[0][0][0]['embeds'][0]

tests/strategy/strats/hyperoptable_strategy.py

@@ -44,6 +44,11 @@ class HyperoptableStrategy(StrategyTestV2):
             })
         return prot
 
+    bot_loop_started = False
+
+    def bot_loop_start(self):
+        self.bot_loop_started = True
+
     def bot_start(self, **kwargs) -> None:
         """
         Parameters can also be defined here ...

tests/strategy/strats/strategy_test_v3.py

@@ -178,8 +178,8 @@ class StrategyTestV3(IStrategy):
         return dataframe
 
     def leverage(self, pair: str, current_time: datetime, current_rate: float,
-                 proposed_leverage: float, max_leverage: float, side: str,
+                 proposed_leverage: float, max_leverage: float, entry_tag: Optional[str],
-                 **kwargs) -> float:
+                 side: str, **kwargs) -> float:
         # Return 3.0 in all cases.
         # Bot-logic must make sure it's an allowed leverage and eventually adjust accordingly.
 

tests/strategy/strats/strategy_test_v3_analysis.py

@@ -0,0 +1,175 @@
+# pragma pylint: disable=missing-docstring, invalid-name, pointless-string-statement
+
+import talib.abstract as ta
+from pandas import DataFrame
+
+import freqtrade.vendor.qtpylib.indicators as qtpylib
+from freqtrade.strategy import (BooleanParameter, DecimalParameter, IntParameter, IStrategy,
+                                RealParameter)
+
+
+class StrategyTestV3Analysis(IStrategy):
+    """
+    Strategy used by tests freqtrade bot.
+    Please do not modify this strategy, it's  intended for internal use only.
+    Please look at the SampleStrategy in the user_data/strategy directory
+    or strategy repository https://github.com/freqtrade/freqtrade-strategies
+    for samples and inspiration.
+    """
+    INTERFACE_VERSION = 3
+
+    # Minimal ROI designed for the strategy
+    minimal_roi = {
+        "40": 0.0,
+        "30": 0.01,
+        "20": 0.02,
+        "0": 0.04
+    }
+
+    # Optimal stoploss designed for the strategy
+    stoploss = -0.10
+
+    # Optimal timeframe for the strategy
+    timeframe = '5m'
+
+    # Optional order type mapping
+    order_types = {
+        'entry': 'limit',
+        'exit': 'limit',
+        'stoploss': 'limit',
+        'stoploss_on_exchange': False
+    }
+
+    # Number of candles the strategy requires before producing valid signals
+    startup_candle_count: int = 20
+
+    # Optional time in force for orders
+    order_time_in_force = {
+        'entry': 'gtc',
+        'exit': 'gtc',
+    }
+
+    buy_params = {
+        'buy_rsi': 35,
+        # Intentionally not specified, so "default" is tested
+        # 'buy_plusdi': 0.4
+    }
+
+    sell_params = {
+        'sell_rsi': 74,
+        'sell_minusdi': 0.4
+    }
+
+    buy_rsi = IntParameter([0, 50], default=30, space='buy')
+    buy_plusdi = RealParameter(low=0, high=1, default=0.5, space='buy')
+    sell_rsi = IntParameter(low=50, high=100, default=70, space='sell')
+    sell_minusdi = DecimalParameter(low=0, high=1, default=0.5001, decimals=3, space='sell',
+                                    load=False)
+    protection_enabled = BooleanParameter(default=True)
+    protection_cooldown_lookback = IntParameter([0, 50], default=30)
+
+    # TODO: Can this work with protection tests? (replace HyperoptableStrategy implicitly ... )
+    # @property
+    # def protections(self):
+    #     prot = []
+    #     if self.protection_enabled.value:
+    #         prot.append({
+    #             "method": "CooldownPeriod",
+    #             "stop_duration_candles": self.protection_cooldown_lookback.value
+    #         })
+    #     return prot
+
+    bot_started = False
+
+    def bot_start(self):
+        self.bot_started = True
+
+    def informative_pairs(self):
+
+        return []
+
+    def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
+
+        # Momentum Indicator
+        # ------------------------------------
+
+        # ADX
+        dataframe['adx'] = ta.ADX(dataframe)
+
+        # MACD
+        macd = ta.MACD(dataframe)
+        dataframe['macd'] = macd['macd']
+        dataframe['macdsignal'] = macd['macdsignal']
+        dataframe['macdhist'] = macd['macdhist']
+
+        # Minus Directional Indicator / Movement
+        dataframe['minus_di'] = ta.MINUS_DI(dataframe)
+
+        # Plus Directional Indicator / Movement
+        dataframe['plus_di'] = ta.PLUS_DI(dataframe)
+
+        # RSI
+        dataframe['rsi'] = ta.RSI(dataframe)
+
+        # Stoch fast
+        stoch_fast = ta.STOCHF(dataframe)
+        dataframe['fastd'] = stoch_fast['fastd']
+        dataframe['fastk'] = stoch_fast['fastk']
+
+        # Bollinger bands
+        bollinger = qtpylib.bollinger_bands(qtpylib.typical_price(dataframe), window=20, stds=2)
+        dataframe['bb_lowerband'] = bollinger['lower']
+        dataframe['bb_middleband'] = bollinger['mid']
+        dataframe['bb_upperband'] = bollinger['upper']
+
+        # EMA - Exponential Moving Average
+        dataframe['ema10'] = ta.EMA(dataframe, timeperiod=10)
+
+        return dataframe
+
+    def populate_entry_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
+
+        dataframe.loc[
+            (
+                (dataframe['rsi'] < self.buy_rsi.value) &
+                (dataframe['fastd'] < 35) &
+                (dataframe['adx'] > 30) &
+                (dataframe['plus_di'] > self.buy_plusdi.value)
+            ) |
+            (
+                (dataframe['adx'] > 65) &
+                (dataframe['plus_di'] > self.buy_plusdi.value)
+            ),
+            ['enter_long', 'enter_tag']] = 1, 'enter_tag_long'
+
+        dataframe.loc[
+            (
+                qtpylib.crossed_below(dataframe['rsi'], self.sell_rsi.value)
+            ),
+            ['enter_short', 'enter_tag']] = 1, 'enter_tag_short'
+
+        return dataframe
+
+    def populate_exit_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
+        dataframe.loc[
+            (
+                (
+                    (qtpylib.crossed_above(dataframe['rsi'], self.sell_rsi.value)) |
+                    (qtpylib.crossed_above(dataframe['fastd'], 70))
+                ) &
+                (dataframe['adx'] > 10) &
+                (dataframe['minus_di'] > 0)
+            ) |
+            (
+                (dataframe['adx'] > 70) &
+                (dataframe['minus_di'] > self.sell_minusdi.value)
+            ),
+            ['exit_long', 'exit_tag']] = 1, 'exit_tag_long'
+
+        dataframe.loc[
+            (
+                qtpylib.crossed_above(dataframe['rsi'], self.buy_rsi.value)
+            ),
+            ['exit_long', 'exit_tag']] = 1, 'exit_tag_short'
+
+        return dataframe

tests/strategy/test_interface.py

@@ -20,7 +20,8 @@ from freqtrade.strategy.hyper import detect_parameters
 from freqtrade.strategy.parameters import (BaseParameter, BooleanParameter, CategoricalParameter,
                                            DecimalParameter, IntParameter, RealParameter)
 from freqtrade.strategy.strategy_wrapper import strategy_safe_wrapper
-from tests.conftest import CURRENT_TEST_STRATEGY, TRADE_SIDES, log_has, log_has_re
+from tests.conftest import (CURRENT_TEST_STRATEGY, TRADE_SIDES, create_mock_trades, log_has,
+                            log_has_re)
 
 from .strats.strategy_test_v3 import StrategyTestV3
 
@@ -615,6 +616,7 @@ def test_leverage_callback(default_conf, side) -> None:
         proposed_leverage=1.0,
         max_leverage=5.0,
         side=side,
+        entry_tag=None,
         ) == 1
 
     default_conf['strategy'] = CURRENT_TEST_STRATEGY
@@ -626,6 +628,7 @@ def test_leverage_callback(default_conf, side) -> None:
         proposed_leverage=1.0,
         max_leverage=5.0,
         side=side,
+        entry_tag='entry_tag_test',
         ) == 3
 
 
@@ -810,6 +813,28 @@ def test_strategy_safe_wrapper(value):
     assert ret == value
 
 
+@pytest.mark.usefixtures("init_persistence")
+def test_strategy_safe_wrapper_trade_copy(fee):
+    create_mock_trades(fee)
+
+    def working_method(trade):
+        assert len(trade.orders) > 0
+        assert trade.orders
+        trade.orders = []
+        assert len(trade.orders) == 0
+        return trade
+
+    trade = Trade.get_open_trades()[0]
+    # Don't assert anything before strategy_wrapper.
+    # This ensures that relationship loading works correctly.
+    ret = strategy_safe_wrapper(working_method, message='DeadBeef')(trade=trade)
+    assert isinstance(ret, Trade)
+    assert id(trade) != id(ret)
+    # Did not modify the original order
+    assert len(trade.orders) > 0
+    assert len(ret.orders) == 0
+
+
 def test_hyperopt_parameters():
     from skopt.space import Categorical, Integer, Real
     with pytest.raises(OperationalException, match=r"Name is determined.*"):

tests/strategy/test_strategy_loading.py

@@ -34,7 +34,7 @@ def test_search_all_strategies_no_failed():
     directory = Path(__file__).parent / "strats"
     strategies = StrategyResolver.search_all_objects(directory, enum_failed=False)
     assert isinstance(strategies, list)
-    assert len(strategies) == 5
+    assert len(strategies) == 6
     assert isinstance(strategies[0], dict)
 
 
@@ -42,10 +42,10 @@ def test_search_all_strategies_with_failed():
     directory = Path(__file__).parent / "strats"
     strategies = StrategyResolver.search_all_objects(directory, enum_failed=True)
     assert isinstance(strategies, list)
-    assert len(strategies) == 6
+    assert len(strategies) == 7
     # with enum_failed=True search_all_objects() shall find 2 good strategies
     # and 1 which fails to load
-    assert len([x for x in strategies if x['class'] is not None]) == 5
+    assert len([x for x in strategies if x['class'] is not None]) == 6
     assert len([x for x in strategies if x['class'] is None]) == 1
 
 

tests/test_freqtradebot.py

@@ -210,13 +210,14 @@ def test_edge_overrides_stoploss(limit_order, fee, caplog, mocker,
     #
     # mocking the ticker: price is falling ...
     enter_price = limit_order['buy']['price']
+    ticker_val = {
+            'bid': enter_price,
+            'ask': enter_price,
+            'last': enter_price,
+        }
     mocker.patch.multiple(
         'freqtrade.exchange.Exchange',
-        fetch_ticker=MagicMock(return_value={
+        fetch_ticker=MagicMock(return_value=ticker_val),
-            'bid': enter_price * buy_price_mult,
-            'ask': enter_price * buy_price_mult,
-            'last': enter_price * buy_price_mult,
-        }),
         get_fee=fee,
     )
     #############################################
@@ -229,9 +230,12 @@ def test_edge_overrides_stoploss(limit_order, fee, caplog, mocker,
     freqtrade.enter_positions()
     trade = Trade.query.first()
     caplog.clear()
-    oobj = Order.parse_from_ccxt_object(limit_order['buy'], 'ADA/USDT', 'buy')
-    trade.update_trade(oobj)
     #############################################
+    ticker_val.update({
+            'bid': enter_price * buy_price_mult,
+            'ask': enter_price * buy_price_mult,
+            'last': enter_price * buy_price_mult,
+    })
 
     # stoploss shoud be hit
     assert freqtrade.handle_trade(trade) is not ignore_strat_sl
@@ -2147,7 +2151,7 @@ def test_handle_trade(
 
     assert trade.close_rate == 2.0 if is_short else 2.2
     assert trade.close_profit == close_profit
-    assert trade.calc_profit() == 5.685
+    assert trade.calc_profit(trade.close_rate) == 5.685
     assert trade.close_date is not None
     assert trade.exit_reason == 'sell_signal1'
 
@@ -3771,6 +3775,7 @@ def test_exit_profit_only(
     trade = Trade.query.first()
     assert trade.is_short == is_short
     oobj = Order.parse_from_ccxt_object(limit_order[eside], limit_order[eside]['symbol'], eside)
+    trade.update_order(limit_order[eside])
     trade.update_trade(oobj)
     freqtrade.wallets.update()
     if profit_only:
@@ -3946,9 +3951,9 @@ def test_ignore_roi_if_entry_signal(default_conf_usdt, limit_order, limit_order_
 
     # Test if entry-signal is absent (should sell due to roi = true)
     if is_short:
-        patch_get_signal(freqtrade, enter_long=False, exit_short=False)
+        patch_get_signal(freqtrade, enter_long=False, exit_short=False, exit_tag='something')
     else:
-        patch_get_signal(freqtrade, enter_long=False, exit_long=False)
+        patch_get_signal(freqtrade, enter_long=False, exit_long=False, exit_tag='something')
     assert freqtrade.handle_trade(trade) is True
     assert trade.exit_reason == ExitType.ROI.value
 
@@ -4059,6 +4064,7 @@ def test_trailing_stop_loss_positive(
     trade = Trade.query.first()
     assert trade.is_short == is_short
     oobj = Order.parse_from_ccxt_object(limit_order[eside], limit_order[eside]['symbol'], eside)
+    trade.update_order(limit_order[eside])
     trade.update_trade(oobj)
     caplog.set_level(logging.DEBUG)
     # stop-loss not reached
@@ -4802,10 +4808,19 @@ def test_startup_update_open_orders(mocker, default_conf_usdt, fee, caplog, is_s
     assert len(Order.get_open_orders()) == 2
 
     caplog.clear()
-    mocker.patch('freqtrade.exchange.Exchange.fetch_order', side_effect=InvalidOrderException)
+    mocker.patch('freqtrade.exchange.Exchange.fetch_order', side_effect=ExchangeError)
     freqtrade.startup_update_open_orders()
     assert log_has_re(r"Error updating Order .*", caplog)
 
+    mocker.patch('freqtrade.exchange.Exchange.fetch_order', side_effect=InvalidOrderException)
+    hto_mock = mocker.patch('freqtrade.freqtradebot.FreqtradeBot.handle_timedout_order')
+    # Orders which are no longer found after X days should be assumed as canceled.
+    freqtrade.startup_update_open_orders()
+    assert log_has_re(r"Order is older than \d days.*", caplog)
+    assert hto_mock.call_count == 2
+    assert hto_mock.call_args_list[0][0][0]['status'] == 'canceled'
+    assert hto_mock.call_args_list[1][0][0]['status'] == 'canceled'
+
 
 @pytest.mark.usefixtures("init_persistence")
 @pytest.mark.parametrize("is_short", [False, True])

tests/test_persistence.py

@@ -606,9 +606,9 @@ def test_calc_open_close_trade_price(
     trade.close_rate = 2.2
     trade.recalc_open_trade_value()
     assert isclose(trade._calc_open_trade_value(), open_value)
-    assert isclose(trade.calc_close_trade_value(), close_value)
+    assert isclose(trade.calc_close_trade_value(trade.close_rate), close_value)
-    assert isclose(trade.calc_profit(), round(profit, 8))
+    assert isclose(trade.calc_profit(trade.close_rate), round(profit, 8))
-    assert pytest.approx(trade.calc_profit_ratio()) == profit_ratio
+    assert pytest.approx(trade.calc_profit_ratio(trade.close_rate)) == profit_ratio
 
 
 @pytest.mark.usefixtures("init_persistence")
@@ -660,7 +660,7 @@ def test_calc_close_trade_price_exception(limit_buy_order_usdt, fee):
     trade.open_order_id = 'something'
     oobj = Order.parse_from_ccxt_object(limit_buy_order_usdt, 'ADA/USDT', 'buy')
     trade.update_trade(oobj)
-    assert trade.calc_close_trade_value() == 0.0
+    assert trade.calc_close_trade_value(trade.close_rate) == 0.0
 
 
 @pytest.mark.usefixtures("init_persistence")
@@ -813,7 +813,7 @@ def test_calc_close_trade_price(
         funding_fees=funding_fees
     )
     trade.open_order_id = 'close_trade'
-    assert round(trade.calc_close_trade_value(rate=close_rate, fee=fee_rate), 8) == result
+    assert round(trade.calc_close_trade_value(rate=close_rate), 8) == result
 
 
 @pytest.mark.parametrize(
@@ -884,6 +884,17 @@ def test_calc_close_trade_price(
         ('binance', False, 3, 2.2, 0.0025, 4.684999, 0.23366583, futures, -1),
         ('binance', True, 1, 2.2, 0.0025, -7.315, -0.12222222, futures, -1),
         ('binance', True, 3, 2.2, 0.0025, -7.315, -0.36666666, futures, -1),
+
+        # FUTURES, funding_fee=0
+        ('binance', False, 1, 2.1, 0.0025, 2.6925, 0.04476309, futures, 0),
+        ('binance', False, 3, 2.1, 0.0025, 2.6925, 0.13428928, futures, 0),
+        ('binance', True, 1, 2.1, 0.0025, -3.3074999, -0.05526316, futures, 0),
+        ('binance', True, 3, 2.1, 0.0025, -3.3074999, -0.16578947, futures, 0),
+
+        ('binance', False, 1, 1.9, 0.0025, -3.2925, -0.05473815, futures, 0),
+        ('binance', False, 3, 1.9, 0.0025, -3.2925, -0.16421446, futures, 0),
+        ('binance', True, 1, 1.9, 0.0025, 2.7075, 0.0452381, futures, 0),
+        ('binance', True, 3, 1.9, 0.0025, 2.7075, 0.13571429, futures, 0),
     ])
 @pytest.mark.usefixtures("init_persistence")
 def test_calc_profit(
@@ -2064,6 +2075,24 @@ def test_get_trades_proxy(fee, use_db, is_short):
     Trade.use_db = True
 
 
+@pytest.mark.usefixtures("init_persistence")
+@pytest.mark.parametrize('is_short', [True, False])
+def test_get_trades__query(fee, is_short):
+    query = Trade.get_trades([])
+    # without orders there should be no join issued.
+    query1 = Trade.get_trades([], include_orders=False)
+
+    assert "JOIN orders" in str(query)
+    assert "JOIN orders" not in str(query1)
+
+    create_mock_trades(fee, is_short)
+    query = Trade.get_trades([])
+    query1 = Trade.get_trades([], include_orders=False)
+
+    assert "JOIN orders" in str(query)
+    assert "JOIN orders" not in str(query1)
+
+
 def test_get_trades_backtest():
     Trade.use_db = False
     with pytest.raises(NotImplementedError, match=r"`Trade.get_trades\(\)` not .*"):
@@ -2258,6 +2287,7 @@ def test_Trade_object_idem():
         'get_exit_reason_performance',
         'get_enter_tag_performance',
         'get_mix_tag_performance',
+        'get_trading_volume',
 
     )
 
@@ -2687,5 +2717,7 @@ def test_order_to_ccxt(limit_buy_order_open):
     del raw_order['fee']
     del raw_order['datetime']
     del raw_order['info']
+    assert raw_order['stopPrice'] is None
+    del raw_order['stopPrice']
     del limit_buy_order_open['datetime']
     assert raw_order == limit_buy_order_open