Update freqtrade/freqai/data_drawer.py

Co-authored-by: Matthias <xmatthias@outlook.com>

.github/workflows/ci.yml

@@ -425,7 +425,7 @@ jobs:
         python setup.py sdist bdist_wheel
 
     - name: Publish to PyPI (Test)
-      uses: pypa/gh-action-pypi-publish@v1.8.4
+      uses: pypa/gh-action-pypi-publish@v1.8.1
       if: (github.event_name == 'release')
       with:
         user: __token__
@@ -433,7 +433,7 @@ jobs:
         repository_url: https://test.pypi.org/legacy/
 
     - name: Publish to PyPI
-      uses: pypa/gh-action-pypi-publish@v1.8.4
+      uses: pypa/gh-action-pypi-publish@v1.8.1
       if: (github.event_name == 'release')
       with:
         user: __token__

.pre-commit-config.yaml

@@ -13,12 +13,12 @@ repos:
       - id: mypy
         exclude: build_helpers
         additional_dependencies:
-          - types-cachetools==5.3.0.5
+          - types-cachetools==5.3.0.4
           - types-filelock==3.2.7
-          - types-requests==2.28.11.17
-          - types-tabulate==0.9.0.2
-          - types-python-dateutil==2.8.19.11
-          - SQLAlchemy==2.0.8
+          - types-requests==2.28.11.15
+          - types-tabulate==0.9.0.1
+          - types-python-dateutil==2.8.19.10
+          - SQLAlchemy==2.0.7
         # stages: [push]
 
   - repo: https://github.com/pycqa/isort

Dockerfile

@@ -1,4 +1,4 @@
-FROM python:3.10.11-slim-bullseye as base
+FROM python:3.10.10-slim-bullseye as base
 
 # Setup env
 ENV LANG C.UTF-8

build_helpers/publish_docker_arm64.sh

@@ -42,9 +42,9 @@ if [ $? -ne 0 ]; then
     return 1
 fi
 
-docker build --build-arg sourceimage=freqtrade --build-arg sourcetag=${TAG_ARM} -t freqtrade:${TAG_PLOT_ARM} -f docker/Dockerfile.plot .
-docker build --build-arg sourceimage=freqtrade --build-arg sourcetag=${TAG_ARM} -t freqtrade:${TAG_FREQAI_ARM} -f docker/Dockerfile.freqai .
-docker build --build-arg sourceimage=freqtrade --build-arg sourcetag=${TAG_FREQAI_ARM} -t freqtrade:${TAG_FREQAI_RL_ARM} -f docker/Dockerfile.freqai_rl .
+docker build --cache-from freqtrade:${TAG_ARM} --build-arg sourceimage=${CACHE_IMAGE} --build-arg sourcetag=${TAG_ARM} -t freqtrade:${TAG_PLOT_ARM} -f docker/Dockerfile.plot .
+docker build --cache-from freqtrade:${TAG_ARM} --build-arg sourceimage=${CACHE_IMAGE} --build-arg sourcetag=${TAG_ARM} -t freqtrade:${TAG_FREQAI_ARM} -f docker/Dockerfile.freqai .
+docker build --cache-from freqtrade:${TAG_ARM} --build-arg sourceimage=${CACHE_IMAGE} --build-arg sourcetag=${TAG_ARM} -t freqtrade:${TAG_FREQAI_RL_ARM} -f docker/Dockerfile.freqai_rl .
 
 # Tag image for upload and next build step
 docker tag freqtrade:$TAG_ARM ${CACHE_IMAGE}:$TAG_ARM

build_helpers/publish_docker_multi.sh

@@ -58,9 +58,9 @@ fi
 # Tag image for upload and next build step
 docker tag freqtrade:$TAG ${CACHE_IMAGE}:$TAG
 
-docker build --build-arg sourceimage=freqtrade --build-arg sourcetag=${TAG} -t freqtrade:${TAG_PLOT} -f docker/Dockerfile.plot .
-docker build --build-arg sourceimage=freqtrade --build-arg sourcetag=${TAG} -t freqtrade:${TAG_FREQAI} -f docker/Dockerfile.freqai .
-docker build --build-arg sourceimage=freqtrade --build-arg sourcetag=${TAG_FREQAI} -t freqtrade:${TAG_FREQAI_RL} -f docker/Dockerfile.freqai_rl .
+docker build --cache-from freqtrade:${TAG} --build-arg sourceimage=${CACHE_IMAGE} --build-arg sourcetag=${TAG} -t freqtrade:${TAG_PLOT} -f docker/Dockerfile.plot .
+docker build --cache-from freqtrade:${TAG} --build-arg sourceimage=${CACHE_IMAGE} --build-arg sourcetag=${TAG} -t freqtrade:${TAG_FREQAI} -f docker/Dockerfile.freqai .
+docker build --cache-from freqtrade:${TAG_FREQAI} --build-arg sourceimage=${CACHE_IMAGE} --build-arg sourcetag=${TAG_FREQAI} -t freqtrade:${TAG_FREQAI_RL} -f docker/Dockerfile.freqai_rl .
 
 docker tag freqtrade:$TAG_PLOT ${CACHE_IMAGE}:$TAG_PLOT
 docker tag freqtrade:$TAG_FREQAI ${CACHE_IMAGE}:$TAG_FREQAI

docs/bot-basics.md

@@ -60,10 +60,10 @@ This loop will be repeated again and again until the bot is stopped.
 
 * 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).
 * Loops per candle simulating entry and exit points.
-  * Calls `bot_loop_start()` strategy callback.
   * Check for Order timeouts, either via the `unfilledtimeout` configuration, or via `check_entry_timeout()` / `check_exit_timeout()` strategy callbacks.
   * Calls `adjust_entry_price()` strategy callback for open entry orders.
   * Check for trade entry signals (`enter_long` / `enter_short` columns).

docs/freqai-feature-engineering.md

@@ -6,8 +6,8 @@ Low level feature engineering is performed in the user strategy within a set of
 
 |  Function | Description |
 |---------------|-------------|
-| `feature_engineering_expand_all()` | This optional function will automatically expand the defined features on the config defined `indicator_periods_candles`, `include_timeframes`, `include_shifted_candles`, and `include_corr_pairs`.
-| `feature_engineering_expand_basic()` | This optional function will automatically expand the defined features on the config defined `include_timeframes`, `include_shifted_candles`, and `include_corr_pairs`. Note: this function does *not* expand across `include_periods_candles`.
+| `feature_engineering__expand_all()` | This optional function will automatically expand the defined features on the config defined `indicator_periods_candles`, `include_timeframes`, `include_shifted_candles`, and `include_corr_pairs`.
+| `feature_engineering__expand_basic()` | This optional function will automatically expand the defined features on the config defined `include_timeframes`, `include_shifted_candles`, and `include_corr_pairs`. Note: this function does *not* expand across `include_periods_candles`.
 | `feature_engineering_standard()` | This optional function will be called once with the dataframe of the base timeframe. This is the final function to be called, which means that the dataframe entering this function will contain all the features and columns from the base asset created by the other `feature_engineering_expand` functions. This function is a good place to do custom exotic feature extractions (e.g. tsfresh). This function is also a good place for any feature that should not be auto-expanded upon (e.g., day of the week).
 | `set_freqai_targets()` | Required function to set the targets for the model. All targets must be prepended with `&` to be recognized by the FreqAI internals.
 
@@ -182,11 +182,11 @@ In total, the number of features the user of the presented example strat has cre
  $= 3 * 3 * 3 * 2 * 2 = 108$.
 
 
-### Gain finer control over `feature_engineering_*` functions with `metadata`
+ ### Gain finer control over `feature_engineering_*` functions with `metadata`
 
  All `feature_engineering_*` and `set_freqai_targets()` functions are passed a `metadata` dictionary which contains information about the `pair`, `tf` (timeframe), and `period` that FreqAI is automating for feature building. As such, a user can use `metadata` inside `feature_engineering_*` functions as criteria for blocking/reserving features for certain timeframes, periods, pairs etc.
 
- ```python
+ ```py
 def feature_engineering_expand_all(self, dataframe, period, metadata, **kwargs):
  if metadata["tf"] == "1h":
     dataframe["%-roc-period"] = ta.ROC(dataframe, timeperiod=period)

docs/freqai-parameter-table.md

@@ -46,7 +46,7 @@ Mandatory parameters are marked as **Required** and have to be set in one of the
 | `outlier_protection_percentage` | Enable to prevent outlier detection methods from discarding too much data. If more than `outlier_protection_percentage` % of points are detected as outliers by the SVM or DBSCAN, FreqAI will log a warning message and ignore outlier detection, i.e., the original dataset will be kept intact. If the outlier protection is triggered, no predictions will be made based on the training dataset. <br> **Datatype:** Float. <br> Default: `30`.
 | `reverse_train_test_order` | Split the feature dataset (see below) and use the latest data split for training and test on historical split of the data. This allows the model to be trained up to the most recent data point, while avoiding overfitting. However, you should be careful to understand the unorthodox nature of this parameter before employing it. <br> **Datatype:** Boolean. <br> Default: `False` (no reversal).
 | `shuffle_after_split` | Split the data into train and test sets, and then shuffle both sets individually. <br> **Datatype:** Boolean. <br> Default: `False`.
-| `buffer_train_data_candles` | Cut `buffer_train_data_candles` off the beginning and end of the training data *after* the indicators were populated. The main example use is when predicting maxima and minima, the argrelextrema function  cannot know the maxima/minima at the edges of the timerange. To improve model accuracy, it is best to compute argrelextrema on the full timerange and then use this function to cut off the edges (buffer) by the kernel. In another case, if the targets are set to a shifted price movement, this buffer is unnecessary because the shifted candles at the end of the timerange will be NaN and FreqAI will automatically cut those off of the training dataset.<br> **Datatype:** Integer. <br> Default: `0`.
+| `buffer_train_data_candles` | Cut `buffer_train_data_candles` off the beginning and end of the training data *after* the indicators were populated. The main example use is when predicting maxima and minima, the argrelextrema function  cannot know the maxima/minima at the edges of the timerange. To improve model accuracy, it is best to compute argrelextrema on the full timerange and then use this function to cut off the edges (buffer) by the kernel. In another case, if the targets are set to a shifted price movement, this buffer is unnecessary because the shifted candles at the end of the timerange will be NaN and FreqAI will automatically cut those off of the training dataset.<br> **Datatype:** Boolean. <br> Default: `False`.
 
 ### Data split parameters
 

docs/freqai-reinforcement-learning.md

@@ -55,7 +55,7 @@ where `ReinforcementLearner` will use the templated `ReinforcementLearner` from
         dataframe["&-action"] = 0
 ```
 
-Most of the function remains the same as for typical Regressors, however, the function below shows how the strategy must pass the raw price data to the agent so that it has access to raw OHLCV in the training environment:
+Most of the function remains the same as for typical Regressors, however, the function above shows how the strategy must pass the raw price data to the agent so that it has access to raw OHLCV in the training environment:
 
 ```python
     def feature_engineering_standard(self, dataframe, **kwargs):
@@ -180,7 +180,7 @@ As you begin to modify the strategy and the prediction model, you will quickly r
 
                 # you can use feature values from dataframe
                 # Assumes the shifted RSI indicator has been generated in the strategy.
-                rsi_now = self.raw_features[f"%-rsi-period_10_shift-1_{pair}_"
+                rsi_now = self.raw_features[f"%-rsi-period-10_shift-1_{pair}_"
                                 f"{self.config['timeframe']}"].iloc[self._current_tick]
 
                 # reward agent for entering trades

docs/freqai-running.md

@@ -128,9 +128,6 @@ The FreqAI specific parameter `label_period_candles` defines the offset (number
 
 You can choose to adopt a continual learning scheme by setting `"continual_learning": true` in the config. By enabling `continual_learning`, after training an initial model from scratch, subsequent trainings will start from the final model state of the preceding training. This gives the new model a "memory" of the previous state. By default, this is set to `False` which means that all new models are trained from scratch, without input from previous models.
 
-???+ danger "Continual learning enforces a constant parameter space"
-    Since `continual_learning` means that the model parameter space *cannot* change between trainings, `principal_component_analysis` is automatically disabled when `continual_learning` is enabled. Hint: PCA changes the parameter space and the number of features, learn more about PCA [here](freqai-feature-engineering.md#data-dimensionality-reduction-with-principal-component-analysis).
-
 ## Hyperopt
 
 You can hyperopt using the same command as for [typical Freqtrade hyperopt](hyperopt.md):

docs/includes/protections.md

@@ -149,7 +149,7 @@ The below example assumes a timeframe of 1 hour:
 * Locks each pair after selling for an additional 5 candles (`CooldownPeriod`), giving other pairs a chance to get filled.
 * Stops trading for 4 hours (`4 * 1h candles`) if the last 2 days (`48 * 1h candles`) had 20 trades, which caused a max-drawdown of more than 20%. (`MaxDrawdown`).
 * Stops trading if more than 4 stoploss occur for all pairs within a 1 day (`24 * 1h candles`) limit (`StoplossGuard`).
-* Locks all pairs that had 2 Trades within the last 6 hours (`6 * 1h candles`) with a combined profit ratio of below 0.02 (<2%) (`LowProfitPairs`).
+* Locks all pairs that had 4 Trades within the last 6 hours (`6 * 1h candles`) with a combined profit ratio of below 0.02 (<2%) (`LowProfitPairs`).
 * Locks all pairs for 2 candles that had a profit of below 0.01 (<1%) within the last 24h (`24 * 1h candles`), a minimum of 4 trades.
 
 ``` python

docs/producer-consumer.md

@@ -42,14 +42,14 @@ Enable subscribing to an instance by adding the `external_message_consumer` sect
 | `producers` | **Required.** List of producers <br> **Datatype:** Array.
 | `producers.name` | **Required.** Name of this producer. This name must be used in calls to `get_producer_pairs()` and `get_producer_df()` if more than one producer is used.<br> **Datatype:** string
 | `producers.host` | **Required.** The hostname or IP address from your producer.<br> **Datatype:** string
-| `producers.port` | **Required.** The port matching the above host.<br>*Defaults to `8080`.*<br> **Datatype:** Integer
+| `producers.port` | **Required.** The port matching the above host.<br> **Datatype:** string
 | `producers.secure` | **Optional.**  Use ssl in websockets connection. Default False.<br> **Datatype:** string
 | `producers.ws_token` | **Required.**  `ws_token` as configured on the producer.<br> **Datatype:** string
 | | **Optional settings**
 | `wait_timeout` | Timeout until we ping again if no message is received. <br>*Defaults to `300`.*<br> **Datatype:** Integer - in seconds.
-| `ping_timeout` | Ping timeout <br>*Defaults to `10`.*<br> **Datatype:** Integer - in seconds.
+| `wait_timeout` | Ping timeout <br>*Defaults to `10`.*<br> **Datatype:** Integer - in seconds.
 | `sleep_time` | Sleep time before retrying to connect.<br>*Defaults to `10`.*<br> **Datatype:** Integer - in seconds.
-| `remove_entry_exit_signals` | Remove signal columns from the dataframe (set them to 0) on dataframe receipt.<br>*Defaults to `False`.*<br> **Datatype:** Boolean.
+| `remove_entry_exit_signals` | Remove signal columns from the dataframe (set them to 0) on dataframe receipt.<br>*Defaults to `10`.*<br> **Datatype:** Integer - in seconds.
 | `message_size_limit` | Size limit per message<br>*Defaults to `8`.*<br> **Datatype:** Integer - Megabytes.
 
 Instead of (or as well as) calculating indicators in `populate_indicators()` the follower instance listens on the connection to a producer instance's messages (or multiple producer instances in advanced configurations) and requests the producer's most recently analyzed dataframes for each pair in the active whitelist.

docs/requirements-docs.txt

@@ -1,6 +1,6 @@
 markdown==3.3.7
 mkdocs==1.4.2
-mkdocs-material==9.1.5
+mkdocs-material==9.1.3
 mdx_truly_sane_lists==1.3
 pymdown-extensions==9.10
 jinja2==3.1.2

docs/strategy-callbacks.md

@@ -51,8 +51,7 @@ During hyperopt, this runs only once at startup.
 
 ## Bot loop start
 
-A simple callback which is called once at the start of every bot throttling iteration in dry/live mode (roughly every 5
-seconds, unless configured differently) or once per candle in backtest/hyperopt mode.
+A simple callback which is called once at the start of every bot throttling iteration (roughly every 5 seconds, unless configured differently).
 This can be used to perform calculations which are pair independent (apply to all pairs), loading of external data, etc.
 
 ``` python
@@ -62,12 +61,11 @@ class AwesomeStrategy(IStrategy):
 
     # ... populate_* methods
 
-    def bot_loop_start(self, current_time: datetime, **kwargs) -> None:
+    def bot_loop_start(self, **kwargs) -> None:
         """
         Called at the start of the bot iteration (one loop).
         Might be used to perform pair-independent tasks
         (e.g. gather some remote resource for comparison)
-        :param current_time: datetime object, containing the current datetime
         :param **kwargs: Ensure to keep this here so updates to this won't break your strategy.
         """
         if self.config['runmode'].value in ('live', 'dry_run'):

docs/telegram-usage.md

@@ -279,7 +279,6 @@ Return a summary of your profit/loss and performance.
 >   ∙ `33.095 EUR`
 >
 > **Total Trade Count:** `138`
-> **Bot started:** `2022-07-11 18:40:44`
 > **First Trade opened:** `3 days ago`
 > **Latest Trade opened:** `2 minutes ago`
 > **Avg. Duration:** `2:33:45`
@@ -293,7 +292,6 @@ The relative profit of `15.2 Σ%` is be based on the starting capital - so in th
 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)`.
-Bot started date will refer to the date the bot was first started. For older bots, this will default to the first trade's open date.
 
 ### /forceexit <trade_id>
 

freqtrade/__init__.py

@@ -1,5 +1,5 @@
 """ Freqtrade bot """
-__version__ = '2023.4.dev'
+__version__ = '2023.3.dev'
 
 if 'dev' in __version__:
     from pathlib import Path

freqtrade/commands/data_commands.py

@@ -204,14 +204,11 @@ def start_list_data(args: Dict[str, Any]) -> None:
             pair, timeframe, candle_type,
             *dhc.ohlcv_data_min_max(pair, timeframe, candle_type)
         ) for pair, timeframe, candle_type in paircombs]
-
         print(tabulate([
             (pair, timeframe, candle_type,
                 start.strftime(DATETIME_PRINT_FORMAT),
                 end.strftime(DATETIME_PRINT_FORMAT))
-            for pair, timeframe, candle_type, start, end in sorted(
-                paircombs1,
-                key=lambda x: (x[0], timeframe_to_minutes(x[1]), x[2]))
+            for pair, timeframe, candle_type, start, end in paircombs1
             ],
             headers=("Pair", "Timeframe", "Type", 'From', 'To'),
             tablefmt='psql', stralign='right'))

freqtrade/constants.py

@@ -36,10 +36,9 @@ AVAILABLE_PAIRLISTS = ['StaticPairList', 'VolumePairList', 'ProducerPairList', '
                        'AgeFilter', 'OffsetFilter', 'PerformanceFilter',
                        'PrecisionFilter', 'PriceFilter', 'RangeStabilityFilter',
                        'ShuffleFilter', 'SpreadFilter', 'VolatilityFilter']
-AVAILABLE_PROTECTIONS = ['CooldownPeriod',
-                         'LowProfitPairs', 'MaxDrawdown', 'StoplossGuard']
-AVAILABLE_DATAHANDLERS_TRADES = ['json', 'jsongz', 'hdf5', 'feather']
-AVAILABLE_DATAHANDLERS = AVAILABLE_DATAHANDLERS_TRADES + ['parquet']
+AVAILABLE_PROTECTIONS = ['CooldownPeriod', 'LowProfitPairs', 'MaxDrawdown', 'StoplossGuard']
+AVAILABLE_DATAHANDLERS_TRADES = ['json', 'jsongz', 'hdf5']
+AVAILABLE_DATAHANDLERS = AVAILABLE_DATAHANDLERS_TRADES + ['feather', 'parquet']
 BACKTEST_BREAKDOWNS = ['day', 'week', 'month']
 BACKTEST_CACHE_AGE = ['none', 'day', 'week', 'month']
 BACKTEST_CACHE_DEFAULT = 'day'
@@ -598,7 +597,7 @@ CONF_SCHEMA = {
                         "model_type": {"type": "string", "default": "PPO"},
                         "policy_type": {"type": "string", "default": "MlpPolicy"},
                         "net_arch": {"type": "array", "default": [128, 128]},
-                        "randomize_starting_position": {"type": "boolean", "default": False},
+                        "randomize_startinng_position": {"type": "boolean", "default": False},
                         "model_reward_parameters": {
                             "type": "object",
                             "properties": {

freqtrade/data/dataprovider.py

@@ -21,7 +21,6 @@ from freqtrade.exchange import Exchange, timeframe_to_seconds
 from freqtrade.exchange.types import OrderBook
 from freqtrade.misc import append_candles_to_dataframe
 from freqtrade.rpc import RPCManager
-from freqtrade.rpc.rpc_types import RPCAnalyzedDFMsg
 from freqtrade.util import PeriodicCache
 
 
@@ -119,7 +118,8 @@ class DataProvider:
         :param new_candle: This is a new candle
         """
         if self.__rpc:
-            msg: RPCAnalyzedDFMsg = {
+            self.__rpc.send_msg(
+                {
                     'type': RPCMessageType.ANALYZED_DF,
                     'data': {
                         'key': pair_key,
@@ -127,7 +127,7 @@ class DataProvider:
                         'la': datetime.now(timezone.utc)
                     }
                 }
-            self.__rpc.send_msg(msg)
+            )
             if new_candle:
                 self.__rpc.send_msg({
                         'type': RPCMessageType.NEW_CANDLE,

freqtrade/data/history/featherdatahandler.py

@@ -4,7 +4,7 @@ from typing import Optional
 from pandas import DataFrame, read_feather, to_datetime
 
 from freqtrade.configuration import TimeRange
-from freqtrade.constants import DEFAULT_DATAFRAME_COLUMNS, DEFAULT_TRADES_COLUMNS, TradeList
+from freqtrade.constants import DEFAULT_DATAFRAME_COLUMNS, TradeList
 from freqtrade.enums import CandleType
 
 from .idatahandler import IDataHandler
@@ -92,11 +92,12 @@ class FeatherDataHandler(IDataHandler):
         :param data: List of Lists containing trade data,
                      column sequence as in DEFAULT_TRADES_COLUMNS
         """
-        filename = self._pair_trades_filename(self._datadir, pair)
-        self.create_dir_if_needed(filename)
+        # filename = self._pair_trades_filename(self._datadir, pair)
 
-        tradesdata = DataFrame(data, columns=DEFAULT_TRADES_COLUMNS)
-        tradesdata.to_feather(filename, compression_level=9, compression='lz4')
+        raise NotImplementedError()
+        # array = pa.array(data)
+        # array
+        # feather.write_feather(data, filename)
 
     def trades_append(self, pair: str, data: TradeList):
         """
@@ -115,13 +116,14 @@ class FeatherDataHandler(IDataHandler):
         :param timerange: Timerange to load trades for - currently not implemented
         :return: List of trades
         """
-        filename = self._pair_trades_filename(self._datadir, pair)
-        if not filename.exists():
-            return []
+        raise NotImplementedError()
+        # filename = self._pair_trades_filename(self._datadir, pair)
+        # tradesdata = misc.file_load_json(filename)
 
-        tradesdata = read_feather(filename)
+        # if not tradesdata:
+        #     return []
 
-        return tradesdata.values.tolist()
+        # return tradesdata
 
     @classmethod
     def _get_file_extension(cls):

freqtrade/exchange/__init__.py

@@ -8,15 +8,15 @@ from freqtrade.exchange.bitpanda import Bitpanda
 from freqtrade.exchange.bittrex import Bittrex
 from freqtrade.exchange.bybit import Bybit
 from freqtrade.exchange.coinbasepro import Coinbasepro
-from freqtrade.exchange.exchange_utils import (ROUND_DOWN, ROUND_UP, amount_to_contract_precision,
-                                               amount_to_contracts, amount_to_precision,
-                                               available_exchanges, ccxt_exchanges,
-                                               contracts_to_amount, date_minus_candles,
-                                               is_exchange_known_ccxt, market_is_active,
-                                               price_to_precision, timeframe_to_minutes,
-                                               timeframe_to_msecs, timeframe_to_next_date,
-                                               timeframe_to_prev_date, timeframe_to_seconds,
-                                               validate_exchange, validate_exchanges)
+from freqtrade.exchange.exchange_utils import (amount_to_contract_precision, amount_to_contracts,
+                                               amount_to_precision, available_exchanges,
+                                               ccxt_exchanges, contracts_to_amount,
+                                               date_minus_candles, is_exchange_known_ccxt,
+                                               market_is_active, price_to_precision,
+                                               timeframe_to_minutes, timeframe_to_msecs,
+                                               timeframe_to_next_date, timeframe_to_prev_date,
+                                               timeframe_to_seconds, validate_exchange,
+                                               validate_exchanges)
 from freqtrade.exchange.gate import Gate
 from freqtrade.exchange.hitbtc import Hitbtc
 from freqtrade.exchange.huobi import Huobi

freqtrade/exchange/binance.py

@@ -7,6 +7,7 @@ from typing import Dict, List, Optional, Tuple
 import arrow
 import ccxt
 
+from freqtrade.constants import BuySell
 from freqtrade.enums import CandleType, MarginMode, PriceType, TradingMode
 from freqtrade.exceptions import DDosProtection, OperationalException, TemporaryError
 from freqtrade.exchange import Exchange
@@ -48,6 +49,26 @@ class Binance(Exchange):
         (TradingMode.FUTURES, MarginMode.ISOLATED)
     ]
 
+    def _get_params(
+        self,
+        side: BuySell,
+        ordertype: str,
+        leverage: float,
+        reduceOnly: bool,
+        time_in_force: str = 'GTC',
+    ) -> Dict:
+        params = super()._get_params(side, ordertype, leverage, reduceOnly, time_in_force)
+        if (
+            time_in_force == 'PO'
+            and ordertype != 'market'
+            and self.trading_mode == TradingMode.SPOT
+            # Only spot can do post only orders
+        ):
+            params.pop('timeInForce')
+            params['postOnly'] = True
+
+        return params
+
     def get_tickers(self, symbols: Optional[List[str]] = None, cached: bool = False) -> Tickers:
         tickers = super().get_tickers(symbols=symbols, cached=cached)
         if self.trading_mode == TradingMode.FUTURES:

freqtrade/exchange/exchange.py

@@ -30,14 +30,13 @@ from freqtrade.exceptions import (DDosProtection, ExchangeError, InsufficientFun
                                   RetryableOrderError, TemporaryError)
 from freqtrade.exchange.common import (API_FETCH_ORDER_RETRY_COUNT, remove_credentials, retrier,
                                        retrier_async)
-from freqtrade.exchange.exchange_utils import (ROUND, ROUND_DOWN, ROUND_UP, CcxtModuleType,
-                                               amount_to_contract_precision, amount_to_contracts,
-                                               amount_to_precision, contracts_to_amount,
-                                               date_minus_candles, is_exchange_known_ccxt,
-                                               market_is_active, price_to_precision,
-                                               timeframe_to_minutes, timeframe_to_msecs,
-                                               timeframe_to_next_date, timeframe_to_prev_date,
-                                               timeframe_to_seconds)
+from freqtrade.exchange.exchange_utils import (CcxtModuleType, amount_to_contract_precision,
+                                               amount_to_contracts, amount_to_precision,
+                                               contracts_to_amount, date_minus_candles,
+                                               is_exchange_known_ccxt, market_is_active,
+                                               price_to_precision, timeframe_to_minutes,
+                                               timeframe_to_msecs, timeframe_to_next_date,
+                                               timeframe_to_prev_date, timeframe_to_seconds)
 from freqtrade.exchange.types import OHLCVResponse, OrderBook, Ticker, Tickers
 from freqtrade.misc import (chunks, deep_merge_dicts, file_dump_json, file_load_json,
                             safe_value_fallback2)
@@ -60,7 +59,6 @@ class Exchange:
     # or by specifying them in the configuration.
     _ft_has_default: Dict = {
         "stoploss_on_exchange": False,
-        "stop_price_param": "stopPrice",
         "order_time_in_force": ["GTC"],
         "ohlcv_params": {},
         "ohlcv_candle_limit": 500,
@@ -82,8 +80,6 @@ class Exchange:
         "fee_cost_in_contracts": False,  # Fee cost needs contract conversion
         "needs_trading_fees": False,  # use fetch_trading_fees to cache fees
         "order_props_in_contracts": ['amount', 'cost', 'filled', 'remaining'],
-        # Override createMarketBuyOrderRequiresPrice where ccxt has it wrong
-        "marketOrderRequiresPrice": False,
     }
     _ft_has: Dict = {}
     _ft_has_futures: Dict = {}
@@ -209,8 +205,6 @@ class Exchange:
                 and self._api_async.session):
             logger.debug("Closing async ccxt session.")
             self.loop.run_until_complete(self._api_async.close())
-        if self.loop and not self.loop.is_closed():
-            self.loop.close()
 
     def validate_config(self, config):
         # Check if timeframe is available
@@ -736,14 +730,12 @@ class Exchange:
         """
         return amount_to_precision(amount, self.get_precision_amount(pair), self.precisionMode)
 
-    def price_to_precision(self, pair: str, price: float, *, rounding_mode: int = ROUND) -> float:
+    def price_to_precision(self, pair: str, price: float) -> float:
         """
-        Returns the price rounded to the precision the Exchange accepts.
-        The default price_rounding_mode in conf is ROUND.
-        For stoploss calculations, must use ROUND_UP for longs, and ROUND_DOWN for shorts.
+        Returns the price rounded up to the precision the Exchange accepts.
+        Rounds up
         """
-        return price_to_precision(price, self.get_precision_price(pair),
-                                  self.precisionMode, rounding_mode=rounding_mode)
+        return price_to_precision(price, self.get_precision_price(pair), self.precisionMode)
 
     def price_get_one_pip(self, pair: str, price: float) -> float:
         """
@@ -766,12 +758,12 @@ class Exchange:
         return self._get_stake_amount_limit(pair, price, stoploss, 'min', leverage)
 
     def get_max_pair_stake_amount(self, pair: str, price: float, leverage: float = 1.0) -> float:
-        max_stake_amount = self._get_stake_amount_limit(pair, price, 0.0, 'max', leverage)
+        max_stake_amount = self._get_stake_amount_limit(pair, price, 0.0, 'max')
         if max_stake_amount is None:
             # * Should never be executed
             raise OperationalException(f'{self.name}.get_max_pair_stake_amount should'
                                        'never set max_stake_amount to None')
-        return max_stake_amount
+        return max_stake_amount / leverage
 
     def _get_stake_amount_limit(
         self,
@@ -789,41 +781,43 @@ class Exchange:
         except KeyError:
             raise ValueError(f"Can't get market information for symbol {pair}")
 
-        if isMin:
-            # reserve some percent defined in config (5% default) + stoploss
-            margin_reserve: float = 1.0 + self._config.get('amount_reserve_percent',
-                                                           DEFAULT_AMOUNT_RESERVE_PERCENT)
-            stoploss_reserve = (
-                margin_reserve / (1 - abs(stoploss)) if abs(stoploss) != 1 else 1.5
-            )
-            # it should not be more than 50%
-            stoploss_reserve = max(min(stoploss_reserve, 1.5), 1)
-        else:
-            margin_reserve = 1.0
-            stoploss_reserve = 1.0
-
         stake_limits = []
         limits = market['limits']
         if (limits['cost'][limit] is not None):
             stake_limits.append(
-                self._contracts_to_amount(pair, limits['cost'][limit]) * stoploss_reserve
+                self._contracts_to_amount(
+                    pair,
+                    limits['cost'][limit]
+                )
             )
 
         if (limits['amount'][limit] is not None):
             stake_limits.append(
-                self._contracts_to_amount(pair, limits['amount'][limit]) * price * margin_reserve
+                self._contracts_to_amount(
+                    pair,
+                    limits['amount'][limit] * price
+                )
             )
 
         if not stake_limits:
             return None if isMin else float('inf')
 
+        # reserve some percent defined in config (5% default) + stoploss
+        amount_reserve_percent = 1.0 + self._config.get('amount_reserve_percent',
+                                                        DEFAULT_AMOUNT_RESERVE_PERCENT)
+        amount_reserve_percent = (
+            amount_reserve_percent / (1 - abs(stoploss)) if abs(stoploss) != 1 else 1.5
+        )
+        # it should not be more than 50%
+        amount_reserve_percent = max(min(amount_reserve_percent, 1.5), 1)
+
         # The value returned should satisfy both limits: for amount (base currency) and
         # for cost (quote, stake currency), so max() is used here.
         # See also #2575 at github.
         return self._get_stake_amount_considering_leverage(
-            max(stake_limits) if isMin else min(stake_limits),
+            max(stake_limits) * amount_reserve_percent,
             leverage or 1.0
-        )
+        ) if isMin else min(stake_limits)
 
     def _get_stake_amount_considering_leverage(self, stake_amount: float, leverage: float) -> float:
         """
@@ -1044,13 +1038,6 @@ class Exchange:
             params.update({'reduceOnly': True})
         return params
 
-    def _order_needs_price(self, ordertype: str) -> bool:
-        return (
-            ordertype != 'market'
-            or self._api.options.get("createMarketBuyOrderRequiresPrice", False)
-            or self._ft_has.get('marketOrderRequiresPrice', False)
-        )
-
     def create_order(
         self,
         *,
@@ -1073,7 +1060,8 @@ class Exchange:
         try:
             # Set the precision for amount and price(rate) as accepted by the exchange
             amount = self.amount_to_precision(pair, self._amount_to_contracts(pair, amount))
-            needs_price = self._order_needs_price(ordertype)
+            needs_price = (ordertype != 'market'
+                           or self._api.options.get("createMarketBuyOrderRequiresPrice", False))
             rate_for_order = self.price_to_precision(pair, rate) if needs_price else None
 
             if not reduceOnly:
@@ -1116,11 +1104,11 @@ class Exchange:
         """
         if not self._ft_has.get('stoploss_on_exchange'):
             raise OperationalException(f"stoploss is not implemented for {self.name}.")
-        price_param = self._ft_has['stop_price_param']
+
         return (
-            order.get(price_param, None) is None
-            or ((side == "sell" and stop_loss > float(order[price_param])) or
-                (side == "buy" and stop_loss < float(order[price_param])))
+            order.get('stopPrice', None) is None
+            or ((side == "sell" and stop_loss > float(order['stopPrice'])) or
+                (side == "buy" and stop_loss < float(order['stopPrice'])))
         )
 
     def _get_stop_order_type(self, user_order_type) -> Tuple[str, str]:
@@ -1160,8 +1148,8 @@ class Exchange:
 
     def _get_stop_params(self, side: BuySell, ordertype: str, stop_price: float) -> Dict:
         params = self._params.copy()
-        # Verify if stopPrice works for your exchange, else configure stop_price_param
-        params.update({self._ft_has['stop_price_param']: stop_price})
+        # Verify if stopPrice works for your exchange!
+        params.update({'stopPrice': stop_price})
         return params
 
     @retrier(retries=0)
@@ -1187,12 +1175,12 @@ class Exchange:
 
         user_order_type = order_types.get('stoploss', 'market')
         ordertype, user_order_type = self._get_stop_order_type(user_order_type)
-        round_mode = ROUND_DOWN if side == 'buy' else ROUND_UP
-        stop_price_norm = self.price_to_precision(pair, stop_price, rounding_mode=round_mode)
+
+        stop_price_norm = self.price_to_precision(pair, stop_price)
         limit_rate = None
         if user_order_type == 'limit':
             limit_rate = self._get_stop_limit_rate(stop_price, order_types, side)
-            limit_rate = self.price_to_precision(pair, limit_rate, rounding_mode=round_mode)
+            limit_rate = self.price_to_precision(pair, limit_rate)
 
         if self._config['dry_run']:
             dry_order = self.create_dry_run_order(

freqtrade/exchange/exchange_utils.py

@@ -2,12 +2,11 @@
 Exchange support utils
 """
 from datetime import datetime, timedelta, timezone
-from math import ceil, floor
+from math import ceil
 from typing import Any, Dict, List, Optional, Tuple
 
 import ccxt
-from ccxt import (DECIMAL_PLACES, ROUND, ROUND_DOWN, ROUND_UP, SIGNIFICANT_DIGITS, TICK_SIZE,
-                  TRUNCATE, decimal_to_precision)
+from ccxt import ROUND_DOWN, ROUND_UP, TICK_SIZE, TRUNCATE, decimal_to_precision
 
 from freqtrade.exchange.common import BAD_EXCHANGES, EXCHANGE_HAS_OPTIONAL, EXCHANGE_HAS_REQUIRED
 from freqtrade.util import FtPrecise
@@ -220,51 +219,35 @@ def amount_to_contract_precision(
     return amount
 
 
-def price_to_precision(
-    price: float,
-    price_precision: Optional[float],
-    precisionMode: Optional[int],
-    *,
-    rounding_mode: int = ROUND,
-) -> float:
+def price_to_precision(price: float, price_precision: Optional[float],
+                       precisionMode: Optional[int]) -> float:
     """
-    Returns the price rounded to the precision the Exchange accepts.
+    Returns the price rounded up to the precision the Exchange accepts.
     Partial Re-implementation of ccxt internal method decimal_to_precision(),
-    which does not support rounding up.
-    For stoploss calculations, must use ROUND_UP for longs, and ROUND_DOWN for shorts.
-
+    which does not support rounding up
     TODO: If ccxt supports ROUND_UP for decimal_to_precision(), we could remove this and
     align with amount_to_precision().
+    !!! Rounds up
     :param price: price to convert
     :param price_precision: price precision to use. Used from markets[pair]['precision']['price']
     :param precisionMode: precision mode to use. Should be used from precisionMode
                           one of ccxt's DECIMAL_PLACES, SIGNIFICANT_DIGITS, or TICK_SIZE
-    :param rounding_mode: rounding mode to use. Defaults to ROUND
     :return: price rounded up to the precision the Exchange accepts
+
     """
     if price_precision is not None and precisionMode is not None:
+        # price = float(decimal_to_precision(price, rounding_mode=ROUND,
+        #                                    precision=price_precision,
+        #                                    counting_mode=self.precisionMode,
+        #                                    ))
         if precisionMode == TICK_SIZE:
-            if rounding_mode == ROUND:
-                ticks = price / price_precision
-                rounded_ticks = round(ticks)
-                return rounded_ticks * price_precision
             precision = FtPrecise(price_precision)
             price_str = FtPrecise(price)
             missing = price_str % precision
             if not missing == FtPrecise("0"):
-                return round(float(str(price_str - missing + precision)), 14)
-            return price
-        elif precisionMode in (SIGNIFICANT_DIGITS, DECIMAL_PLACES):
-            ndigits = round(price_precision)
-            if rounding_mode == ROUND:
-                return round(price, ndigits)
-            ticks = price * (10**ndigits)
-            if rounding_mode == ROUND_UP:
-                return ceil(ticks) / (10**ndigits)
-            if rounding_mode == TRUNCATE:
-                return int(ticks) / (10**ndigits)
-            if rounding_mode == ROUND_DOWN:
-                return floor(ticks) / (10**ndigits)
-            raise ValueError(f"Unknown rounding_mode {rounding_mode}")
-        raise ValueError(f"Unknown precisionMode {precisionMode}")
+                price = round(float(str(price_str - missing + precision)), 14)
+        else:
+            symbol_prec = price_precision
+            big_price = price * pow(10, symbol_prec)
+            price = ceil(big_price) / pow(10, symbol_prec)
     return price

freqtrade/exchange/gate.py

@@ -5,6 +5,7 @@ from typing import Any, Dict, List, Optional, Tuple
 
 from freqtrade.constants import BuySell
 from freqtrade.enums import MarginMode, PriceType, TradingMode
+from freqtrade.exceptions import OperationalException
 from freqtrade.exchange import Exchange
 from freqtrade.misc import safe_value_fallback2
 
@@ -27,12 +28,10 @@ class Gate(Exchange):
         "order_time_in_force": ['GTC', 'IOC'],
         "stoploss_order_types": {"limit": "limit"},
         "stoploss_on_exchange": True,
-        "marketOrderRequiresPrice": True,
     }
 
     _ft_has_futures: Dict = {
         "needs_trading_fees": True,
-        "marketOrderRequiresPrice": False,
         "tickers_have_bid_ask": False,
         "fee_cost_in_contracts": False,  # Set explicitly to false for clarity
         "order_props_in_contracts": ['amount', 'filled', 'remaining'],
@@ -51,6 +50,14 @@ class Gate(Exchange):
         (TradingMode.FUTURES, MarginMode.ISOLATED)
     ]
 
+    def validate_ordertypes(self, order_types: Dict) -> None:
+
+        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.')
+        super().validate_stop_ordertypes(order_types)
+
     def _get_params(
             self,
             side: BuySell,

freqtrade/exchange/kraken.py

@@ -12,7 +12,6 @@ from freqtrade.exceptions import (DDosProtection, InsufficientFundsError, Invali
                                   OperationalException, TemporaryError)
 from freqtrade.exchange import Exchange
 from freqtrade.exchange.common import retrier
-from freqtrade.exchange.exchange_utils import ROUND_DOWN, ROUND_UP
 from freqtrade.exchange.types import Tickers
 
 
@@ -110,7 +109,6 @@ class Kraken(Exchange):
         if self.trading_mode == TradingMode.FUTURES:
             params.update({'reduceOnly': True})
 
-        round_mode = ROUND_DOWN if side == 'buy' else ROUND_UP
         if order_types.get('stoploss', 'market') == 'limit':
             ordertype = "stop-loss-limit"
             limit_price_pct = order_types.get('stoploss_on_exchange_limit_ratio', 0.99)
@@ -118,11 +116,11 @@ class Kraken(Exchange):
                 limit_rate = stop_price * limit_price_pct
             else:
                 limit_rate = stop_price * (2 - limit_price_pct)
-            params['price2'] = self.price_to_precision(pair, limit_rate, rounding_mode=round_mode)
+            params['price2'] = self.price_to_precision(pair, limit_rate)
         else:
             ordertype = "stop-loss"
 
-        stop_price = self.price_to_precision(pair, stop_price, rounding_mode=round_mode)
+        stop_price = self.price_to_precision(pair, stop_price)
 
         if self._config['dry_run']:
             dry_order = self.create_dry_run_order(

freqtrade/exchange/okx.py

@@ -28,7 +28,6 @@ class Okx(Exchange):
         "funding_fee_timeframe": "8h",
         "stoploss_order_types": {"limit": "limit"},
         "stoploss_on_exchange": True,
-        "stop_price_param": "stopLossPrice",
     }
     _ft_has_futures: Dict = {
         "tickers_have_quoteVolume": False,
@@ -163,12 +162,29 @@ class Okx(Exchange):
         return pair_tiers[-1]['maxNotional'] / leverage
 
     def _get_stop_params(self, side: BuySell, ordertype: str, stop_price: float) -> Dict:
-        params = super()._get_stop_params(side, ordertype, stop_price)
+
+        params = self._params.copy()
+        # Verify if stopPrice works for your exchange!
+        params.update({'stopLossPrice': stop_price})
+
         if self.trading_mode == TradingMode.FUTURES and self.margin_mode:
             params['tdMode'] = self.margin_mode.value
             params['posSide'] = self._get_posSide(side, True)
         return params
 
+    def stoploss_adjust(self, stop_loss: float, order: Dict, side: str) -> bool:
+        """
+        OKX uses non-default stoploss price naming.
+        """
+        if not self._ft_has.get('stoploss_on_exchange'):
+            raise OperationalException(f"stoploss is not implemented for {self.name}.")
+
+        return (
+            order.get('stopLossPrice', None) is None
+            or ((side == "sell" and stop_loss > float(order['stopLossPrice'])) or
+                (side == "buy" and stop_loss < float(order['stopLossPrice'])))
+        )
+
     def fetch_stoploss_order(self, order_id: str, pair: str, params: Dict = {}) -> Dict:
         if self._config['dry_run']:
             return self.fetch_dry_run_order(order_id)

freqtrade/freqai/RL/Base3ActionRLEnv.py

@@ -66,7 +66,7 @@ class Base3ActionRLEnv(BaseEnvironment):
             elif action == Actions.Sell.value and not self.can_short:
                 self._update_total_profit()
                 self._position = Positions.Neutral
-                trade_type = "exit"
+                trade_type = "neutral"
                 self._last_trade_tick = None
             else:
                 print("case not defined")
@@ -74,7 +74,7 @@ class Base3ActionRLEnv(BaseEnvironment):
             if trade_type is not None:
                 self.trade_history.append(
                     {'price': self.current_price(), 'index': self._current_tick,
-                     'type': trade_type, 'profit': self.get_unrealized_profit()})
+                     'type': trade_type})
 
         if (self._total_profit < self.max_drawdown or
                 self._total_unrealized_profit < self.max_drawdown):

freqtrade/freqai/RL/Base4ActionRLEnv.py

@@ -52,6 +52,16 @@ class Base4ActionRLEnv(BaseEnvironment):
 
         trade_type = None
         if self.is_tradesignal(action):
+            """
+            Action: Neutral, position: Long ->  Close Long
+            Action: Neutral, position: Short -> Close Short
+
+            Action: Long, position: Neutral -> Open Long
+            Action: Long, position: Short -> Close Short and Open Long
+
+            Action: Short, position: Neutral -> Open Short
+            Action: Short, position: Long -> Close Long and Open Short
+            """
 
             if action == Actions.Neutral.value:
                 self._position = Positions.Neutral
@@ -59,16 +69,16 @@ class Base4ActionRLEnv(BaseEnvironment):
                 self._last_trade_tick = None
             elif action == Actions.Long_enter.value:
                 self._position = Positions.Long
-                trade_type = "enter_long"
+                trade_type = "long"
                 self._last_trade_tick = self._current_tick
             elif action == Actions.Short_enter.value:
                 self._position = Positions.Short
-                trade_type = "enter_short"
+                trade_type = "short"
                 self._last_trade_tick = self._current_tick
             elif action == Actions.Exit.value:
                 self._update_total_profit()
                 self._position = Positions.Neutral
-                trade_type = "exit"
+                trade_type = "neutral"
                 self._last_trade_tick = None
             else:
                 print("case not defined")
@@ -76,7 +86,7 @@ class Base4ActionRLEnv(BaseEnvironment):
             if trade_type is not None:
                 self.trade_history.append(
                     {'price': self.current_price(), 'index': self._current_tick,
-                     'type': trade_type, 'profit': self.get_unrealized_profit()})
+                     'type': trade_type})
 
         if (self._total_profit < self.max_drawdown or
                 self._total_unrealized_profit < self.max_drawdown):

freqtrade/freqai/RL/Base5ActionRLEnv.py

@@ -53,6 +53,16 @@ class Base5ActionRLEnv(BaseEnvironment):
 
         trade_type = None
         if self.is_tradesignal(action):
+            """
+            Action: Neutral, position: Long ->  Close Long
+            Action: Neutral, position: Short -> Close Short
+
+            Action: Long, position: Neutral -> Open Long
+            Action: Long, position: Short -> Close Short and Open Long
+
+            Action: Short, position: Neutral -> Open Short
+            Action: Short, position: Long -> Close Long and Open Short
+            """
 
             if action == Actions.Neutral.value:
                 self._position = Positions.Neutral
@@ -60,21 +70,21 @@ class Base5ActionRLEnv(BaseEnvironment):
                 self._last_trade_tick = None
             elif action == Actions.Long_enter.value:
                 self._position = Positions.Long
-                trade_type = "enter_long"
+                trade_type = "long"
                 self._last_trade_tick = self._current_tick
             elif action == Actions.Short_enter.value:
                 self._position = Positions.Short
-                trade_type = "enter_short"
+                trade_type = "short"
                 self._last_trade_tick = self._current_tick
             elif action == Actions.Long_exit.value:
                 self._update_total_profit()
                 self._position = Positions.Neutral
-                trade_type = "exit_long"
+                trade_type = "neutral"
                 self._last_trade_tick = None
             elif action == Actions.Short_exit.value:
                 self._update_total_profit()
                 self._position = Positions.Neutral
-                trade_type = "exit_short"
+                trade_type = "neutral"
                 self._last_trade_tick = None
             else:
                 print("case not defined")
@@ -82,7 +92,7 @@ class Base5ActionRLEnv(BaseEnvironment):
             if trade_type is not None:
                 self.trade_history.append(
                     {'price': self.current_price(), 'index': self._current_tick,
-                     'type': trade_type, 'profit': self.get_unrealized_profit()})
+                     'type': trade_type})
 
         if (self._total_profit < self.max_drawdown or
                 self._total_unrealized_profit < self.max_drawdown):

freqtrade/freqai/data_drawer.py

@@ -74,8 +74,8 @@ class FreqaiDataDrawer:
         self.historic_predictions: Dict[str, DataFrame] = {}
         self.full_path = full_path
         self.historic_predictions_path = Path(self.full_path / "historic_predictions.pkl")
-        self.historic_predictions_bkp_path = Path(
-            self.full_path / "historic_predictions.backup.pkl")
+        self.historic_predictions_folder = Path(self.full_path / "historic_predictions")
+        self.historic_predictions_bkp_folder = Path(self.full_path / "historic_predictions_backup")
         self.pair_dictionary_path = Path(self.full_path / "pair_dictionary.json")
         self.global_metadata_path = Path(self.full_path / "global_metadata.json")
         self.metric_tracker_path = Path(self.full_path / "metric_tracker.json")
@@ -163,11 +163,12 @@ class FreqaiDataDrawer:
         Locate and load a previously saved historic predictions.
         :return: bool - whether or not the drawer was located
         """
-        exists = self.historic_predictions_path.is_file()
+        exists = self.historic_predictions_folder.exists()
+        convert = self.historic_predictions_path.is_file()
+
         if exists:
             try:
-                with self.historic_predictions_path.open("rb") as fp:
-                    self.historic_predictions = cloudpickle.load(fp)
+                self.load_historic_predictions_from_folder()
                 logger.info(
                     f"Found existing historic predictions at {self.full_path}, but beware "
                     "that statistics may be inaccurate if the bot has been offline for "
@@ -175,25 +176,54 @@ class FreqaiDataDrawer:
                 )
             except EOFError:
                 logger.warning(
-                    'Historical prediction file was corrupted. Trying to load backup file.')
-                with self.historic_predictions_bkp_path.open("rb") as fp:
-                    self.historic_predictions = cloudpickle.load(fp)
-                logger.warning('FreqAI successfully loaded the backup historical predictions file.')
+                    'Historical prediction files were corrupted. Trying to load backup files.')
+                self.load_historic_predictions_from_folder()
+                logger.warning('FreqAI successfully loaded the backup '
+                               'historical predictions files.')
+
+        elif not exists and convert:
+            logger.info("Converting your historic predictions pkl to parquet"
+                        "to improve performance.")
+            with Path.open(self.historic_predictions_path, "rb") as fp:
+                self.historic_predictions = cloudpickle.load(fp)
+            self.save_historic_predictions_to_disk()
+            exists = True
 
         else:
-            logger.info("Could not find existing historic_predictions, starting from scratch")
+            logger.warning(
+                f"Follower could not find historic predictions at {self.full_path} "
+                "sending null values back to strategy"
+            )
 
         return exists
 
+    def load_historic_predictions_from_folder(self):
+        """
+        Try to build the historic_predictions dictionary from parquet
+        files in the historic_predictions_folder
+        """
+        for file_path in self.historic_predictions_folder.glob("*.parquet"):
+            key = file_path.stem
+            key.replace("_", "/")
+            self.historic_predictions[key] = pd.read_parquet(file_path)
+
+        return
+
     def save_historic_predictions_to_disk(self):
         """
         Save historic predictions pickle to disk
         """
-        with self.historic_predictions_path.open("wb") as fp:
-            cloudpickle.dump(self.historic_predictions, fp, protocol=cloudpickle.DEFAULT_PROTOCOL)
+
+        self.historic_predictions_folder.mkdir(parents=True, exist_ok=True)
+        for key, value in self.historic_predictions.items():
+            key = key.replace("/", "_")
+            # pytest.set_trace()
+            filename = Path(self.historic_predictions_folder / f"{key}.parquet")
+            value.to_parquet(filename)
 
         # create a backup
-        shutil.copy(self.historic_predictions_path, self.historic_predictions_bkp_path)
+        shutil.copytree(self.historic_predictions_folder,
+                        self.historic_predictions_bkp_folder, dirs_exist_ok=True)
 
     def save_metric_tracker_to_disk(self):
         """
@@ -675,7 +705,7 @@ class FreqaiDataDrawer:
         Returns timerange information based on historic predictions file
         :return: timerange calculated from saved live data
         """
-        if not self.historic_predictions_path.is_file():
+        if not self.historic_predictions_folder.exists():
             raise OperationalException(
                 'Historic predictions not found. Historic predictions data is required '
                 'to run backtest with the freqai-backtest-live-models option '

freqtrade/freqai/freqai_interface.py

@@ -105,9 +105,6 @@ class IFreqaiModel(ABC):
         self.max_system_threads = max(int(psutil.cpu_count() * 2 - 2), 1)
         self.can_short = True  # overridden in start() with strategy.can_short
         self.model: Any = None
-        if self.ft_params.get('principal_component_analysis', False) and self.continual_learning:
-            self.ft_params.update({'principal_component_analysis': False})
-            logger.warning('User tried to use PCA with continual learning. Deactivating PCA.')
 
         record_params(config, self.full_path)
 
@@ -157,7 +154,8 @@ class IFreqaiModel(ABC):
                 dk = self.start_backtesting(dataframe, metadata, self.dk, strategy)
                 dataframe = dk.remove_features_from_df(dk.return_dataframe)
             else:
-                logger.info("Backtesting using historic predictions (live models)")
+                logger.info(
+                    "Backtesting using historic predictions (live models)")
                 dk = self.start_backtesting_from_historic_predictions(
                     dataframe, metadata, self.dk)
                 dataframe = dk.return_dataframe

freqtrade/freqtradebot.py

@@ -21,19 +21,15 @@ from freqtrade.enums import (ExitCheckTuple, ExitType, RPCMessageType, RunMode,
                              State, TradingMode)
 from freqtrade.exceptions import (DependencyException, ExchangeError, InsufficientFundsError,
                                   InvalidOrderException, PricingError)
-from freqtrade.exchange import (ROUND_DOWN, ROUND_UP, timeframe_to_minutes, timeframe_to_next_date,
-                                timeframe_to_seconds)
+from freqtrade.exchange import timeframe_to_minutes, timeframe_to_next_date, timeframe_to_seconds
 from freqtrade.misc import safe_value_fallback, safe_value_fallback2
 from freqtrade.mixins import LoggingMixin
 from freqtrade.persistence import Order, PairLocks, Trade, init_db
-from freqtrade.persistence.key_value_store import set_startup_time
 from freqtrade.plugins.pairlistmanager import PairListManager
 from freqtrade.plugins.protectionmanager import ProtectionManager
 from freqtrade.resolvers import ExchangeResolver, StrategyResolver
 from freqtrade.rpc import RPCManager
 from freqtrade.rpc.external_message_consumer import ExternalMessageConsumer
-from freqtrade.rpc.rpc_types import (RPCBuyMsg, RPCCancelMsg, RPCProtectionMsg, RPCSellCancelMsg,
-                                     RPCSellMsg)
 from freqtrade.strategy.interface import IStrategy
 from freqtrade.strategy.strategy_wrapper import strategy_safe_wrapper
 from freqtrade.util import FtPrecise
@@ -183,7 +179,6 @@ class FreqtradeBot(LoggingMixin):
         performs startup tasks
         """
         migrate_binance_futures_names(self.config)
-        set_startup_time()
 
         self.rpc.startup_messages(self.config, self.pairlists, self.protections)
         # Update older trades with precision and precision mode
@@ -217,8 +212,7 @@ class FreqtradeBot(LoggingMixin):
         self.dataprovider.refresh(self.pairlists.create_pair_list(self.active_pair_whitelist),
                                   self.strategy.gather_informative_pairs())
 
-        strategy_safe_wrapper(self.strategy.bot_loop_start, supress_error=True)(
-            current_time=datetime.now(timezone.utc))
+        strategy_safe_wrapper(self.strategy.bot_loop_start, supress_error=True)()
 
         self.strategy.analyze(self.active_pair_whitelist)
 
@@ -856,13 +850,11 @@ class FreqtradeBot(LoggingMixin):
                 logger.info(f"Canceling stoploss on exchange for {trade}")
                 co = self.exchange.cancel_stoploss_order_with_result(
                     trade.stoploss_order_id, trade.pair, trade.amount)
-                self.update_trade_state(trade, trade.stoploss_order_id, co, stoploss_order=True)
-
+                trade.update_order(co)
                 # Reset stoploss order id.
                 trade.stoploss_order_id = None
             except InvalidOrderException:
-                logger.exception(f"Could not cancel stoploss order {trade.stoploss_order_id} "
-                                 f"for pair {trade.pair}")
+                logger.exception(f"Could not cancel stoploss order {trade.stoploss_order_id}")
         return trade
 
     def get_valid_enter_price_and_stake(
@@ -949,11 +941,12 @@ class FreqtradeBot(LoggingMixin):
 
         return enter_limit_requested, stake_amount, leverage
 
-    def _notify_enter(self, trade: Trade, order: Order, order_type: str,
+    def _notify_enter(self, trade: Trade, order: Order, order_type: Optional[str] = None,
                       fill: bool = False, sub_trade: bool = False) -> None:
         """
         Sends rpc notification when a entry order occurred.
         """
+        msg_type = RPCMessageType.ENTRY_FILL if fill else RPCMessageType.ENTRY
         open_rate = order.safe_price
 
         if open_rate is None:
@@ -964,9 +957,9 @@ class FreqtradeBot(LoggingMixin):
             current_rate = self.exchange.get_rate(
                 trade.pair, side='entry', is_short=trade.is_short, refresh=False)
 
-        msg: RPCBuyMsg = {
+        msg = {
             'trade_id': trade.id,
-            'type': RPCMessageType.ENTRY_FILL if fill else RPCMessageType.ENTRY,
+            'type': msg_type,
             'buy_tag': trade.enter_tag,
             'enter_tag': trade.enter_tag,
             'exchange': trade.exchange.capitalize(),
@@ -978,7 +971,6 @@ class FreqtradeBot(LoggingMixin):
             'order_type': order_type,
             'stake_amount': trade.stake_amount,
             'stake_currency': self.config['stake_currency'],
-            'base_currency': self.exchange.get_pair_base_currency(trade.pair),
             'fiat_currency': self.config.get('fiat_display_currency', None),
             'amount': order.safe_amount_after_fee if fill else (order.amount or trade.amount),
             'open_date': trade.open_date or datetime.utcnow(),
@@ -997,7 +989,7 @@ class FreqtradeBot(LoggingMixin):
         current_rate = self.exchange.get_rate(
             trade.pair, side='entry', is_short=trade.is_short, refresh=False)
 
-        msg: RPCCancelMsg = {
+        msg = {
             'trade_id': trade.id,
             'type': RPCMessageType.ENTRY_CANCEL,
             'buy_tag': trade.enter_tag,
@@ -1009,9 +1001,7 @@ class FreqtradeBot(LoggingMixin):
             'limit': trade.open_rate,
             'order_type': order_type,
             'stake_amount': trade.stake_amount,
-            'open_rate': trade.open_rate,
             'stake_currency': self.config['stake_currency'],
-            'base_currency': self.exchange.get_pair_base_currency(trade.pair),
             'fiat_currency': self.config.get('fiat_display_currency', None),
             'amount': trade.amount,
             'open_date': trade.open_date,
@@ -1175,8 +1165,7 @@ class FreqtradeBot(LoggingMixin):
             logger.warning('Unable to fetch stoploss order: %s', exception)
 
         if stoploss_order:
-            self.update_trade_state(trade, trade.stoploss_order_id, stoploss_order,
-                                    stoploss_order=True)
+            trade.update_order(stoploss_order)
 
         # We check if stoploss order is fulfilled
         if stoploss_order and stoploss_order['status'] in ('closed', 'triggered'):
@@ -1240,9 +1229,7 @@ class FreqtradeBot(LoggingMixin):
         :param order: Current on exchange stoploss order
         :return: None
         """
-        stoploss_norm = self.exchange.price_to_precision(
-            trade.pair, trade.stoploss_or_liquidation,
-            rounding_mode=ROUND_DOWN if trade.is_short else ROUND_UP)
+        stoploss_norm = self.exchange.price_to_precision(trade.pair, trade.stoploss_or_liquidation)
 
         if self.exchange.stoploss_adjust(stoploss_norm, order, side=trade.exit_side):
             # we check if the update is necessary
@@ -1252,8 +1239,13 @@ class FreqtradeBot(LoggingMixin):
                 # cancelling the current stoploss on exchange first
                 logger.info(f"Cancelling current stoploss on exchange for pair {trade.pair} "
                             f"(orderid:{order['id']}) in order to add another one ...")
-
-                self.cancel_stoploss_on_exchange(trade)
+                try:
+                    co = self.exchange.cancel_stoploss_order_with_result(order['id'], trade.pair,
+                                                                         trade.amount)
+                    trade.update_order(co)
+                except InvalidOrderException:
+                    logger.exception(f"Could not cancel stoploss order {order['id']} "
+                                     f"for pair {trade.pair}")
 
                 # Create new stoploss order
                 if not self.create_stoploss_order(trade=trade, stop_price=stoploss_norm):
@@ -1485,8 +1477,8 @@ class FreqtradeBot(LoggingMixin):
                     return False
 
             try:
-                order = self.exchange.cancel_order_with_result(
-                    order['id'], trade.pair, trade.amount)
+                order = self.exchange.cancel_order_with_result(order['id'], trade.pair,
+                                                               trade.amount)
             except InvalidOrderException:
                 logger.exception(
                     f"Could not cancel {trade.exit_side} order {trade.open_order_id}")
@@ -1498,18 +1490,17 @@ class FreqtradeBot(LoggingMixin):
             # Order might be filled above in odd timing issues.
             if order.get('status') in ('canceled', 'cancelled'):
                 trade.exit_reason = None
-                trade.open_order_id = None
             else:
                 trade.exit_reason = exit_reason_prev
             cancelled = True
         else:
             reason = constants.CANCEL_REASON['CANCELLED_ON_EXCHANGE']
             trade.exit_reason = None
-            trade.open_order_id = None
 
         self.update_trade_state(trade, trade.open_order_id, order)
 
         logger.info(f'{trade.exit_side.capitalize()} order {reason} for {trade}.')
+        trade.open_order_id = None
         trade.close_rate = None
         trade.close_rate_requested = None
 
@@ -1675,7 +1666,7 @@ class FreqtradeBot(LoggingMixin):
             amount = trade.amount
         gain = "profit" if profit_ratio > 0 else "loss"
 
-        msg: RPCSellMsg = {
+        msg = {
             'type': (RPCMessageType.EXIT_FILL if fill
                      else RPCMessageType.EXIT),
             'trade_id': trade.id,
@@ -1701,7 +1692,6 @@ class FreqtradeBot(LoggingMixin):
             'close_date': trade.close_date or datetime.utcnow(),
             'stake_amount': trade.stake_amount,
             'stake_currency': self.config['stake_currency'],
-            'base_currency': self.exchange.get_pair_base_currency(trade.pair),
             'fiat_currency': self.config.get('fiat_display_currency'),
             'sub_trade': sub_trade,
             'cumulative_profit': trade.realized_profit,
@@ -1732,7 +1722,7 @@ class FreqtradeBot(LoggingMixin):
         profit_ratio = trade.calc_profit_ratio(profit_rate)
         gain = "profit" if profit_ratio > 0 else "loss"
 
-        msg: RPCSellCancelMsg = {
+        msg = {
             'type': RPCMessageType.EXIT_CANCEL,
             'trade_id': trade.id,
             'exchange': trade.exchange.capitalize(),
@@ -1754,7 +1744,6 @@ class FreqtradeBot(LoggingMixin):
             'open_date': trade.open_date,
             'close_date': trade.close_date or datetime.now(timezone.utc),
             'stake_currency': self.config['stake_currency'],
-            'base_currency': self.exchange.get_pair_base_currency(trade.pair),
             'fiat_currency': self.config.get('fiat_display_currency', None),
             'reason': reason,
             'sub_trade': sub_trade,
@@ -1786,11 +1775,11 @@ class FreqtradeBot(LoggingMixin):
             return False
 
         # Update trade with order values
-        if not stoploss_order:
-            logger.info(f'Found open order for {trade}')
+        logger.info(f'Found open order for {trade}')
         try:
-            order = action_order or self.exchange.fetch_order_or_stoploss_order(
-                order_id, trade.pair, stoploss_order)
+            order = action_order or self.exchange.fetch_order_or_stoploss_order(order_id,
+                                                                                trade.pair,
+                                                                                stoploss_order)
         except InvalidOrderException as exception:
             logger.warning('Unable to fetch order %s: %s', order_id, exception)
             return False
@@ -1819,7 +1808,7 @@ class FreqtradeBot(LoggingMixin):
                     # TODO: should shorting/leverage be supported by Edge,
                     # then this will need to be fixed.
                     trade.adjust_stop_loss(trade.open_rate, self.strategy.stoploss, initial=True)
-            if order.get('side') == trade.entry_side or (trade.amount > 0 and trade.is_open):
+            if order.get('side') == trade.entry_side or trade.amount > 0:
                 # Must also run for partial exits
                 # TODO: Margin will need to use interest_rate as well.
                 # interest_rate = self.exchange.get_interest_rate()
@@ -1855,27 +1844,21 @@ class FreqtradeBot(LoggingMixin):
                 self.handle_protections(trade.pair, trade.trade_direction)
         elif send_msg and not trade.open_order_id and not stoploss_order:
             # Enter fill
-            self._notify_enter(trade, order, order.order_type, fill=True, sub_trade=sub_trade)
+            self._notify_enter(trade, order, fill=True, sub_trade=sub_trade)
 
     def handle_protections(self, pair: str, side: LongShort) -> None:
         # Lock pair for one candle to prevent immediate rebuys
         self.strategy.lock_pair(pair, datetime.now(timezone.utc), reason='Auto lock')
         prot_trig = self.protections.stop_per_pair(pair, side=side)
         if prot_trig:
-            msg: RPCProtectionMsg = {
-                'type': RPCMessageType.PROTECTION_TRIGGER,
-                'base_currency': self.exchange.get_pair_base_currency(prot_trig.pair),
-                **prot_trig.to_json()  # type: ignore
-            }
+            msg = {'type': RPCMessageType.PROTECTION_TRIGGER, }
+            msg.update(prot_trig.to_json())
             self.rpc.send_msg(msg)
 
         prot_trig_glb = self.protections.global_stop(side=side)
         if prot_trig_glb:
-            msg = {
-                'type': RPCMessageType.PROTECTION_TRIGGER_GLOBAL,
-                'base_currency': self.exchange.get_pair_base_currency(prot_trig_glb.pair),
-                **prot_trig_glb.to_json()  # type: ignore
-            }
+            msg = {'type': RPCMessageType.PROTECTION_TRIGGER_GLOBAL, }
+            msg.update(prot_trig_glb.to_json())
             self.rpc.send_msg(msg)
 
     def apply_fee_conditional(self, trade: Trade, trade_base_currency: str,

freqtrade/optimize/backtesting.py

@@ -203,10 +203,9 @@ class Backtesting:
         # since a "perfect" stoploss-exit is assumed anyway
         # And the regular "stoploss" function would not apply to that case
         self.strategy.order_types['stoploss_on_exchange'] = False
-        # Update can_short flag
-        self._can_short = self.trading_mode != TradingMode.SPOT and strategy.can_short
 
         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):
@@ -741,7 +740,7 @@ class Backtesting:
                 proposed_leverage=1.0,
                 max_leverage=max_leverage,
                 side=direction, entry_tag=entry_tag,
-            ) if self.trading_mode != TradingMode.SPOT else 1.0
+            ) if self._can_short else 1.0
             # Cap leverage between 1.0 and max_leverage.
             leverage = min(max(leverage, 1.0), max_leverage)
 
@@ -1031,9 +1030,6 @@ class Backtesting:
                                   requested_stake=(
                                     order.safe_remaining * order.ft_price / trade.leverage),
                                   direction='short' if trade.is_short else 'long')
-                # Delete trade if no successful entries happened (if placing the new order failed)
-                if trade.open_order_id is None and trade.nr_of_successful_entries == 0:
-                    return True
                 self.replaced_entry_orders += 1
             else:
                 # assumption: there can't be multiple open entry orders at any given time
@@ -1159,8 +1155,6 @@ class Backtesting:
         while current_time <= end_date:
             open_trade_count_start = LocalTrade.bt_open_open_trade_count
             self.check_abort()
-            strategy_safe_wrapper(self.strategy.bot_loop_start, supress_error=True)(
-                current_time=current_time)
             for i, pair in enumerate(data):
                 row_index = indexes[pair]
                 row = self.validate_row(data, pair, row_index, current_time)

freqtrade/optimize/hyperopt_tools.py

@@ -23,8 +23,6 @@ logger = logging.getLogger(__name__)
 
 NON_OPT_PARAM_APPENDIX = "  # value loaded from strategy"
 
-HYPER_PARAMS_FILE_FORMAT = rapidjson.NM_NATIVE | rapidjson.NM_NAN
-
 
 def hyperopt_serializer(x):
     if isinstance(x, np.integer):
@@ -78,18 +76,9 @@ class HyperoptTools():
         with filename.open('w') as f:
             rapidjson.dump(final_params, f, indent=2,
                            default=hyperopt_serializer,
-                           number_mode=HYPER_PARAMS_FILE_FORMAT
+                           number_mode=rapidjson.NM_NATIVE | rapidjson.NM_NAN
                            )
 
-    @staticmethod
-    def load_params(filename: Path) -> Dict:
-        """
-        Load parameters from file
-        """
-        with filename.open('r') as f:
-            params = rapidjson.load(f, number_mode=HYPER_PARAMS_FILE_FORMAT)
-        return params
-
     @staticmethod
     def try_export_params(config: Config, strategy_name: str, params: Dict):
         if params.get(FTHYPT_FILEVERSION, 1) >= 2 and not config.get('disableparamexport', False):
@@ -200,7 +189,7 @@ class HyperoptTools():
             for s in ['buy', 'sell', 'protection',
                       'roi', 'stoploss', 'trailing', 'max_open_trades']:
                 HyperoptTools._params_update_for_json(result_dict, params, non_optimized, s)
-            print(rapidjson.dumps(result_dict, default=str, number_mode=HYPER_PARAMS_FILE_FORMAT))
+            print(rapidjson.dumps(result_dict, default=str, number_mode=rapidjson.NM_NATIVE))
 
         else:
             HyperoptTools._params_pretty_print(params, 'buy', "Buy hyperspace params:",

freqtrade/persistence/__init__.py

@@ -1,6 +1,5 @@
 # flake8: noqa: F401
 
-from freqtrade.persistence.key_value_store import KeyStoreKeys, KeyValueStore
 from freqtrade.persistence.models import init_db
 from freqtrade.persistence.pairlock_middleware import PairLocks
 from freqtrade.persistence.trade_model import LocalTrade, Order, Trade

freqtrade/persistence/key_value_store.py

@@ -1,179 +0,0 @@
-from datetime import datetime, timezone
-from enum import Enum
-from typing import ClassVar, Optional, Union
-
-from sqlalchemy import String
-from sqlalchemy.orm import Mapped, mapped_column
-
-from freqtrade.persistence.base import ModelBase, SessionType
-
-
-ValueTypes = Union[str, datetime, float, int]
-
-
-class ValueTypesEnum(str, Enum):
-    STRING = 'str'
-    DATETIME = 'datetime'
-    FLOAT = 'float'
-    INT = 'int'
-
-
-class KeyStoreKeys(str, Enum):
-    BOT_START_TIME = 'bot_start_time'
-    STARTUP_TIME = 'startup_time'
-
-
-class _KeyValueStoreModel(ModelBase):
-    """
-    Pair Locks database model.
-    """
-    __tablename__ = 'KeyValueStore'
-    session: ClassVar[SessionType]
-
-    id: Mapped[int] = mapped_column(primary_key=True)
-
-    key: Mapped[KeyStoreKeys] = mapped_column(String(25), nullable=False, index=True)
-
-    value_type: Mapped[ValueTypesEnum] = mapped_column(String(20), nullable=False)
-
-    string_value: Mapped[Optional[str]]
-    datetime_value: Mapped[Optional[datetime]]
-    float_value: Mapped[Optional[float]]
-    int_value: Mapped[Optional[int]]
-
-
-class KeyValueStore():
-    """
-    Generic bot-wide, persistent key-value store
-    Can be used to store generic values, e.g. very first bot startup time.
-    Supports the types str, datetime, float and int.
-    """
-
-    @staticmethod
-    def store_value(key: KeyStoreKeys, value: ValueTypes) -> None:
-        """
-        Store the given value for the given key.
-        :param key: Key to store the value for - can be used in get-value to retrieve the key
-        :param value: Value to store - can be str, datetime, float or int
-        """
-        kv = _KeyValueStoreModel.session.query(_KeyValueStoreModel).filter(
-            _KeyValueStoreModel.key == key).first()
-        if kv is None:
-            kv = _KeyValueStoreModel(key=key)
-        if isinstance(value, str):
-            kv.value_type = ValueTypesEnum.STRING
-            kv.string_value = value
-        elif isinstance(value, datetime):
-            kv.value_type = ValueTypesEnum.DATETIME
-            kv.datetime_value = value
-        elif isinstance(value, float):
-            kv.value_type = ValueTypesEnum.FLOAT
-            kv.float_value = value
-        elif isinstance(value, int):
-            kv.value_type = ValueTypesEnum.INT
-            kv.int_value = value
-        else:
-            raise ValueError(f'Unknown value type {kv.value_type}')
-        _KeyValueStoreModel.session.add(kv)
-        _KeyValueStoreModel.session.commit()
-
-    @staticmethod
-    def delete_value(key: KeyStoreKeys) -> None:
-        """
-        Delete the value for the given key.
-        :param key: Key to delete the value for
-        """
-        kv = _KeyValueStoreModel.session.query(_KeyValueStoreModel).filter(
-            _KeyValueStoreModel.key == key).first()
-        if kv is not None:
-            _KeyValueStoreModel.session.delete(kv)
-            _KeyValueStoreModel.session.commit()
-
-    @staticmethod
-    def get_value(key: KeyStoreKeys) -> Optional[ValueTypes]:
-        """
-        Get the value for the given key.
-        :param key: Key to get the value for
-        """
-        kv = _KeyValueStoreModel.session.query(_KeyValueStoreModel).filter(
-            _KeyValueStoreModel.key == key).first()
-        if kv is None:
-            return None
-        if kv.value_type == ValueTypesEnum.STRING:
-            return kv.string_value
-        if kv.value_type == ValueTypesEnum.DATETIME and kv.datetime_value is not None:
-            return kv.datetime_value.replace(tzinfo=timezone.utc)
-        if kv.value_type == ValueTypesEnum.FLOAT:
-            return kv.float_value
-        if kv.value_type == ValueTypesEnum.INT:
-            return kv.int_value
-        # This should never happen unless someone messed with the database manually
-        raise ValueError(f'Unknown value type {kv.value_type}')  # pragma: no cover
-
-    @staticmethod
-    def get_string_value(key: KeyStoreKeys) -> Optional[str]:
-        """
-        Get the value for the given key.
-        :param key: Key to get the value for
-        """
-        kv = _KeyValueStoreModel.session.query(_KeyValueStoreModel).filter(
-            _KeyValueStoreModel.key == key,
-            _KeyValueStoreModel.value_type == ValueTypesEnum.STRING).first()
-        if kv is None:
-            return None
-        return kv.string_value
-
-    @staticmethod
-    def get_datetime_value(key: KeyStoreKeys) -> Optional[datetime]:
-        """
-        Get the value for the given key.
-        :param key: Key to get the value for
-        """
-        kv = _KeyValueStoreModel.session.query(_KeyValueStoreModel).filter(
-            _KeyValueStoreModel.key == key,
-            _KeyValueStoreModel.value_type == ValueTypesEnum.DATETIME).first()
-        if kv is None or kv.datetime_value is None:
-            return None
-        return kv.datetime_value.replace(tzinfo=timezone.utc)
-
-    @staticmethod
-    def get_float_value(key: KeyStoreKeys) -> Optional[float]:
-        """
-        Get the value for the given key.
-        :param key: Key to get the value for
-        """
-        kv = _KeyValueStoreModel.session.query(_KeyValueStoreModel).filter(
-            _KeyValueStoreModel.key == key,
-            _KeyValueStoreModel.value_type == ValueTypesEnum.FLOAT).first()
-        if kv is None:
-            return None
-        return kv.float_value
-
-    @staticmethod
-    def get_int_value(key: KeyStoreKeys) -> Optional[int]:
-        """
-        Get the value for the given key.
-        :param key: Key to get the value for
-        """
-        kv = _KeyValueStoreModel.session.query(_KeyValueStoreModel).filter(
-            _KeyValueStoreModel.key == key,
-            _KeyValueStoreModel.value_type == ValueTypesEnum.INT).first()
-        if kv is None:
-            return None
-        return kv.int_value
-
-
-def set_startup_time():
-    """
-    sets bot_start_time to the first trade open date - or "now" on new databases.
-    sets startup_time to "now"
-    """
-    st = KeyValueStore.get_value('bot_start_time')
-    if st is None:
-        from freqtrade.persistence import Trade
-        t = Trade.session.query(Trade).order_by(Trade.open_date.asc()).first()
-        if t is not None:
-            KeyValueStore.store_value('bot_start_time', t.open_date_utc)
-        else:
-            KeyValueStore.store_value('bot_start_time', datetime.now(timezone.utc))
-    KeyValueStore.store_value('startup_time', datetime.now(timezone.utc))

freqtrade/persistence/models.py

@@ -13,7 +13,6 @@ from sqlalchemy.pool import StaticPool
 
 from freqtrade.exceptions import OperationalException
 from freqtrade.persistence.base import ModelBase
-from freqtrade.persistence.key_value_store import _KeyValueStoreModel
 from freqtrade.persistence.migrations import check_migrate
 from freqtrade.persistence.pairlock import PairLock
 from freqtrade.persistence.trade_model import Order, Trade
@@ -77,7 +76,6 @@ def init_db(db_url: str) -> None:
         bind=engine, autoflush=False), scopefunc=get_request_or_thread_id)
     Order.session = Trade.session
     PairLock.session = Trade.session
-    _KeyValueStoreModel.session = Trade.session
 
     previous_tables = inspect(engine).get_table_names()
     ModelBase.metadata.create_all(engine)

freqtrade/persistence/trade_model.py

@@ -15,8 +15,7 @@ from freqtrade.constants import (DATETIME_PRINT_FORMAT, MATH_CLOSE_PREC, NON_OPE
                                  BuySell, LongShort)
 from freqtrade.enums import ExitType, TradingMode
 from freqtrade.exceptions import DependencyException, OperationalException
-from freqtrade.exchange import (ROUND_DOWN, ROUND_UP, amount_to_contract_precision,
-                                price_to_precision)
+from freqtrade.exchange import amount_to_contract_precision, price_to_precision
 from freqtrade.leverage import interest
 from freqtrade.persistence.base import ModelBase, SessionType
 from freqtrade.util import FtPrecise
@@ -561,9 +560,6 @@ class LocalTrade():
             'trading_mode': self.trading_mode,
             'funding_fees': self.funding_fees,
             'open_order_id': self.open_order_id,
-            'amount_precision': self.amount_precision,
-            'price_precision': self.price_precision,
-            'precision_mode': self.precision_mode,
             'orders': orders,
         }
 
@@ -598,8 +594,7 @@ class LocalTrade():
         """
         Method used internally to set self.stop_loss.
         """
-        stop_loss_norm = price_to_precision(stop_loss, self.price_precision, self.precision_mode,
-                                            rounding_mode=ROUND_DOWN if self.is_short else ROUND_UP)
+        stop_loss_norm = price_to_precision(stop_loss, self.price_precision, self.precision_mode)
         if not self.stop_loss:
             self.initial_stop_loss = stop_loss_norm
         self.stop_loss = stop_loss_norm
@@ -630,8 +625,7 @@ class LocalTrade():
         if self.initial_stop_loss_pct is None or refresh:
             self.__set_stop_loss(new_loss, stoploss)
             self.initial_stop_loss = price_to_precision(
-                new_loss, self.price_precision, self.precision_mode,
-                rounding_mode=ROUND_DOWN if self.is_short else ROUND_UP)
+                new_loss, self.price_precision, self.precision_mode)
             self.initial_stop_loss_pct = -1 * abs(stoploss)
 
         # evaluate if the stop loss needs to be updated
@@ -695,24 +689,21 @@ class LocalTrade():
             else:
                 logger.warning(
                     f'Got different open_order_id {self.open_order_id} != {order.order_id}')
-
-        elif order.ft_order_side == 'stoploss' and order.status not in ('open', ):
-            self.stoploss_order_id = None
-            self.close_rate_requested = self.stop_loss
-            self.exit_reason = ExitType.STOPLOSS_ON_EXCHANGE.value
-            if self.is_open:
-                logger.info(f'{order.order_type.upper()} is hit for {self}.')
-        else:
-            raise ValueError(f'Unknown order type: {order.order_type}')
-
-        if order.ft_order_side != self.entry_side:
             amount_tr = amount_to_contract_precision(self.amount, self.amount_precision,
                                                      self.precision_mode, self.contract_size)
             if isclose(order.safe_amount_after_fee, amount_tr, abs_tol=MATH_CLOSE_PREC):
                 self.close(order.safe_price)
             else:
                 self.recalc_trade_from_orders()
-
+        elif order.ft_order_side == 'stoploss' and order.status not in ('canceled', 'open'):
+            self.stoploss_order_id = None
+            self.close_rate_requested = self.stop_loss
+            self.exit_reason = ExitType.STOPLOSS_ON_EXCHANGE.value
+            if self.is_open:
+                logger.info(f'{order.order_type.upper()} is hit for {self}.')
+            self.close(order.safe_price)
+        else:
+            raise ValueError(f'Unknown order type: {order.order_type}')
         Trade.commit()
 
     def close(self, rate: float, *, show_msg: bool = True) -> None:
@@ -1669,10 +1660,8 @@ class Trade(ModelBase, LocalTrade):
             stop_loss=data["stop_loss_abs"],
             stop_loss_pct=data["stop_loss_ratio"],
             stoploss_order_id=data["stoploss_order_id"],
-            stoploss_last_update=(
-                datetime.fromtimestamp(data["stoploss_last_update_timestamp"] // 1000,
-                                       tz=timezone.utc)
-                if data["stoploss_last_update_timestamp"] else None),
+            stoploss_last_update=(datetime.fromtimestamp(data["stoploss_last_update"] // 1000,
+                                  tz=timezone.utc) if data["stoploss_last_update"] else None),
             initial_stop_loss=data["initial_stop_loss_abs"],
             initial_stop_loss_pct=data["initial_stop_loss_ratio"],
             min_rate=data["min_rate"],

freqtrade/plot/plotting.py

@@ -1,5 +1,4 @@
 import logging
-from datetime import datetime, timezone
 from pathlib import Path
 from typing import Dict, List, Optional
 
@@ -636,7 +635,7 @@ def load_and_plot_trades(config: Config):
     exchange = ExchangeResolver.load_exchange(config['exchange']['name'], config)
     IStrategy.dp = DataProvider(config, exchange)
     strategy.ft_bot_start()
-    strategy.bot_loop_start(datetime.now(timezone.utc))
+    strategy.bot_loop_start()
     plot_elements = init_plotscript(config, list(exchange.markets), strategy.startup_candle_count)
     timerange = plot_elements['timerange']
     trades = plot_elements['trades']

freqtrade/plugins/pairlist/PrecisionFilter.py

@@ -6,7 +6,6 @@ from typing import Any, Dict, Optional
 
 from freqtrade.constants import Config
 from freqtrade.exceptions import OperationalException
-from freqtrade.exchange import ROUND_UP
 from freqtrade.exchange.types import Ticker
 from freqtrade.plugins.pairlist.IPairList import IPairList
 
@@ -62,10 +61,9 @@ class PrecisionFilter(IPairList):
         stop_price = ticker['last'] * self._stoploss
 
         # Adjust stop-prices to precision
-        sp = self._exchange.price_to_precision(pair, stop_price, rounding_mode=ROUND_UP)
+        sp = self._exchange.price_to_precision(pair, stop_price)
 
-        stop_gap_price = self._exchange.price_to_precision(pair, stop_price * 0.99,
-                                                           rounding_mode=ROUND_UP)
+        stop_gap_price = self._exchange.price_to_precision(pair, stop_price * 0.99)
         logger.debug(f"{pair} - {sp} : {stop_gap_price}")
 
         if sp <= stop_gap_price:

freqtrade/rpc/api_server/api_schemas.py

@@ -108,8 +108,6 @@ class Profit(BaseModel):
     max_drawdown: float
     max_drawdown_abs: float
     trading_volume: Optional[float]
-    bot_start_timestamp: int
-    bot_start_date: str
 
 
 class SellReason(BaseModel):
@@ -278,10 +276,6 @@ class TradeSchema(BaseModel):
     funding_fees: Optional[float]
     trading_mode: Optional[TradingMode]
 
-    amount_precision: Optional[float]
-    price_precision: Optional[float]
-    precision_mode: Optional[int]
-
 
 class OpenTradeSchema(TradeSchema):
     stoploss_current_dist: Optional[float]

freqtrade/rpc/api_server/uvicorn_threaded.py

@@ -55,7 +55,7 @@ class UvicornServer(uvicorn.Server):
 
     @contextlib.contextmanager
     def run_in_thread(self):
-        self.thread = threading.Thread(target=self.run, name='FTUvicorn')
+        self.thread = threading.Thread(target=self.run)
         self.thread.start()
         while not self.started:
             time.sleep(1e-3)

freqtrade/rpc/api_server/webserver.py

@@ -13,7 +13,6 @@ from freqtrade.exceptions import OperationalException
 from freqtrade.rpc.api_server.uvicorn_threaded import UvicornServer
 from freqtrade.rpc.api_server.ws.message_stream import MessageStream
 from freqtrade.rpc.rpc import RPC, RPCException, RPCHandler
-from freqtrade.rpc.rpc_types import RPCSendMsg
 
 
 logger = logging.getLogger(__name__)
@@ -109,7 +108,7 @@ class ApiServer(RPCHandler):
         cls._has_rpc = False
         cls._rpc = None
 
-    def send_msg(self, msg: RPCSendMsg) -> None:
+    def send_msg(self, msg: Dict[str, Any]) -> None:
         """
         Publish the message to the message stream
         """

freqtrade/rpc/rpc.py

@@ -26,11 +26,10 @@ from freqtrade.exceptions import ExchangeError, PricingError
 from freqtrade.exchange import timeframe_to_minutes, timeframe_to_msecs
 from freqtrade.loggers import bufferHandler
 from freqtrade.misc import decimals_per_coin, shorten_date
-from freqtrade.persistence import KeyStoreKeys, KeyValueStore, Order, PairLocks, Trade
+from freqtrade.persistence import Order, PairLocks, Trade
 from freqtrade.persistence.models import PairLock
 from freqtrade.plugins.pairlist.pairlist_helpers import expand_pairlist
 from freqtrade.rpc.fiat_convert import CryptoToFiatConverter
-from freqtrade.rpc.rpc_types import RPCSendMsg
 from freqtrade.wallets import PositionWallet, Wallet
 
 
@@ -80,7 +79,7 @@ class RPCHandler:
         """ Cleanup pending module resources """
 
     @abstractmethod
-    def send_msg(self, msg: RPCSendMsg) -> None:
+    def send_msg(self, msg: Dict[str, str]) -> None:
         """ Sends a message to all registered rpc modules """
 
 
@@ -543,7 +542,6 @@ class RPC:
         first_date = trades[0].open_date if trades else None
         last_date = trades[-1].open_date if trades else None
         num = float(len(durations) or 1)
-        bot_start = KeyValueStore.get_datetime_value(KeyStoreKeys.BOT_START_TIME)
         return {
             'profit_closed_coin': profit_closed_coin_sum,
             'profit_closed_percent_mean': round(profit_closed_ratio_mean * 100, 2),
@@ -577,8 +575,6 @@ class RPC:
             'max_drawdown': max_drawdown,
             'max_drawdown_abs': max_drawdown_abs,
             'trading_volume': trading_volume,
-            'bot_start_timestamp': int(bot_start.timestamp() * 1000) if bot_start else 0,
-            'bot_start_date': bot_start.strftime(DATETIME_PRINT_FORMAT) if bot_start else '',
         }
 
     def _rpc_balance(self, stake_currency: str, fiat_display_currency: str) -> Dict:

freqtrade/rpc/rpc_manager.py

@@ -3,12 +3,11 @@ This module contains class to manage RPC communications (Telegram, API, ...)
 """
 import logging
 from collections import deque
-from typing import List
+from typing import Any, Dict, List
 
 from freqtrade.constants import Config
 from freqtrade.enums import NO_ECHO_MESSAGES, RPCMessageType
 from freqtrade.rpc import RPC, RPCHandler
-from freqtrade.rpc.rpc_types import RPCSendMsg
 
 
 logger = logging.getLogger(__name__)
@@ -59,7 +58,7 @@ class RPCManager:
             mod.cleanup()
             del mod
 
-    def send_msg(self, msg: RPCSendMsg) -> None:
+    def send_msg(self, msg: Dict[str, Any]) -> None:
         """
         Send given message to all registered rpc modules.
         A message consists of one or more key value pairs of strings.
@@ -70,6 +69,10 @@ class RPCManager:
         """
         if msg.get('type') not in NO_ECHO_MESSAGES:
             logger.info('Sending rpc message: %s', msg)
+        if 'pair' in msg:
+            msg.update({
+                'base_currency': self._rpc._freqtrade.exchange.get_pair_base_currency(msg['pair'])
+                })
         for mod in self.registered_modules:
             logger.debug('Forwarding message to rpc.%s', mod.name)
             try:

freqtrade/rpc/rpc_types.py

@@ -1,128 +0,0 @@
-from datetime import datetime
-from typing import Any, List, Literal, Optional, TypedDict, Union
-
-from freqtrade.constants import PairWithTimeframe
-from freqtrade.enums import RPCMessageType
-
-
-class RPCSendMsgBase(TypedDict):
-    pass
-    # ty1pe: Literal[RPCMessageType]
-
-
-class RPCStatusMsg(RPCSendMsgBase):
-    """Used for Status, Startup and Warning messages"""
-    type: Literal[RPCMessageType.STATUS, RPCMessageType.STARTUP, RPCMessageType.WARNING]
-    status: str
-
-
-class RPCStrategyMsg(RPCSendMsgBase):
-    """Used for Status, Startup and Warning messages"""
-    type: Literal[RPCMessageType.STRATEGY_MSG]
-    msg: str
-
-
-class RPCProtectionMsg(RPCSendMsgBase):
-    type: Literal[RPCMessageType.PROTECTION_TRIGGER, RPCMessageType.PROTECTION_TRIGGER_GLOBAL]
-    id: int
-    pair: str
-    base_currency: Optional[str]
-    lock_time: str
-    lock_timestamp: int
-    lock_end_time: str
-    lock_end_timestamp: int
-    reason: str
-    side: str
-    active: bool
-
-
-class RPCWhitelistMsg(RPCSendMsgBase):
-    type: Literal[RPCMessageType.WHITELIST]
-    data: List[str]
-
-
-class __RPCBuyMsgBase(RPCSendMsgBase):
-    trade_id: int
-    buy_tag: Optional[str]
-    enter_tag: Optional[str]
-    exchange: str
-    pair: str
-    base_currency: str
-    leverage: Optional[float]
-    direction: str
-    limit: float
-    open_rate: float
-    order_type: str
-    stake_amount: float
-    stake_currency: str
-    fiat_currency: Optional[str]
-    amount: float
-    open_date: datetime
-    current_rate: Optional[float]
-    sub_trade: bool
-
-
-class RPCBuyMsg(__RPCBuyMsgBase):
-    type: Literal[RPCMessageType.ENTRY, RPCMessageType.ENTRY_FILL]
-
-
-class RPCCancelMsg(__RPCBuyMsgBase):
-    type: Literal[RPCMessageType.ENTRY_CANCEL]
-    reason: str
-
-
-class RPCSellMsg(__RPCBuyMsgBase):
-    type: Literal[RPCMessageType.EXIT, RPCMessageType.EXIT_FILL]
-    cumulative_profit: float
-    gain: str  # Literal["profit", "loss"]
-    close_rate: float
-    profit_amount: float
-    profit_ratio: float
-    sell_reason: Optional[str]
-    exit_reason: Optional[str]
-    close_date: datetime
-    # current_rate: Optional[float]
-    order_rate: Optional[float]
-
-
-class RPCSellCancelMsg(__RPCBuyMsgBase):
-    type: Literal[RPCMessageType.EXIT_CANCEL]
-    reason: str
-    gain: str  # Literal["profit", "loss"]
-    profit_amount: float
-    profit_ratio: float
-    sell_reason: Optional[str]
-    exit_reason: Optional[str]
-    close_date: datetime
-
-
-class _AnalyzedDFData(TypedDict):
-    key: PairWithTimeframe
-    df: Any
-    la: datetime
-
-
-class RPCAnalyzedDFMsg(RPCSendMsgBase):
-    """New Analyzed dataframe message"""
-    type: Literal[RPCMessageType.ANALYZED_DF]
-    data: _AnalyzedDFData
-
-
-class RPCNewCandleMsg(RPCSendMsgBase):
-    """New candle ping message, issued once per new candle/pair"""
-    type: Literal[RPCMessageType.NEW_CANDLE]
-    data: PairWithTimeframe
-
-
-RPCSendMsg = Union[
-    RPCStatusMsg,
-    RPCStrategyMsg,
-    RPCProtectionMsg,
-    RPCWhitelistMsg,
-    RPCBuyMsg,
-    RPCCancelMsg,
-    RPCSellMsg,
-    RPCSellCancelMsg,
-    RPCAnalyzedDFMsg,
-    RPCNewCandleMsg
-    ]

freqtrade/rpc/telegram.py

@@ -30,7 +30,6 @@ from freqtrade.exceptions import OperationalException
 from freqtrade.misc import chunks, plural, round_coin_value
 from freqtrade.persistence import Trade
 from freqtrade.rpc import RPC, RPCException, RPCHandler
-from freqtrade.rpc.rpc_types import RPCSendMsg
 
 
 logger = logging.getLogger(__name__)
@@ -430,14 +429,14 @@ class Telegram(RPCHandler):
             return None
         return message
 
-    def send_msg(self, msg: RPCSendMsg) -> None:
+    def send_msg(self, msg: Dict[str, Any]) -> None:
         """ Send a message to telegram channel """
 
         default_noti = 'on'
 
         msg_type = msg['type']
         noti = ''
-        if msg['type'] == RPCMessageType.EXIT:
+        if msg_type == RPCMessageType.EXIT:
             sell_noti = self._config['telegram'] \
                 .get('notification_settings', {}).get(str(msg_type), {})
             # For backward compatibility sell still can be string
@@ -454,7 +453,7 @@ class Telegram(RPCHandler):
             # Notification disabled
             return
 
-        message = self.compose_message(deepcopy(msg), msg_type)  # type: ignore
+        message = self.compose_message(deepcopy(msg), msg_type)
         if message:
             self._send_msg(message, disable_notification=(noti == 'silent'))
 
@@ -819,7 +818,7 @@ class Telegram(RPCHandler):
         best_pair = stats['best_pair']
         best_pair_profit_ratio = stats['best_pair_profit_ratio']
         if stats['trade_count'] == 0:
-            markdown_msg = f"No trades yet.\n*Bot started:* `{stats['bot_start_date']}`"
+            markdown_msg = 'No trades yet.'
         else:
             # Message to display
             if stats['closed_trade_count'] > 0:
@@ -838,7 +837,6 @@ class Telegram(RPCHandler):
                 f"({profit_all_percent} \N{GREEK CAPITAL LETTER SIGMA}%)`\n"
                 f"∙ `{round_coin_value(profit_all_fiat, fiat_disp_cur)}`\n"
                 f"*Total Trade Count:* `{trade_count}`\n"
-                f"*Bot started:* `{stats['bot_start_date']}`\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"

freqtrade/rpc/webhook.py

@@ -10,7 +10,6 @@ from requests import RequestException, post
 from freqtrade.constants import Config
 from freqtrade.enums import RPCMessageType
 from freqtrade.rpc import RPC, RPCHandler
-from freqtrade.rpc.rpc_types import RPCSendMsg
 
 
 logger = logging.getLogger(__name__)
@@ -42,7 +41,7 @@ class Webhook(RPCHandler):
         """
         pass
 
-    def _get_value_dict(self, msg: RPCSendMsg) -> Optional[Dict[str, Any]]:
+    def _get_value_dict(self, msg: Dict[str, Any]) -> Optional[Dict[str, Any]]:
         whconfig = self._config['webhook']
         # Deprecated 2022.10 - only keep generic method.
         if msg['type'] in [RPCMessageType.ENTRY]:
@@ -76,7 +75,7 @@ class Webhook(RPCHandler):
             return None
         return valuedict
 
-    def send_msg(self, msg: RPCSendMsg) -> None:
+    def send_msg(self, msg: Dict[str, Any]) -> None:
         """ Send a message to telegram channel """
         try:
 

freqtrade/strategy/hyper.py

@@ -8,7 +8,7 @@ from typing import Any, Dict, Iterator, List, Optional, Tuple, Type, Union
 
 from freqtrade.constants import Config
 from freqtrade.exceptions import OperationalException
-from freqtrade.misc import deep_merge_dicts
+from freqtrade.misc import deep_merge_dicts, json_load
 from freqtrade.optimize.hyperopt_tools import HyperoptTools
 from freqtrade.strategy.parameters import BaseParameter
 
@@ -124,7 +124,8 @@ class HyperStrategyMixin:
         if filename.is_file():
             logger.info(f"Loading parameters from file {filename}")
             try:
-                params = HyperoptTools.load_params(filename)
+                with filename.open('r') as f:
+                    params = json_load(f)
                 if params.get('strategy_name') != self.__class__.__name__:
                     raise OperationalException('Invalid parameter file provided.')
                 return params

freqtrade/strategy/interface.py

@@ -251,12 +251,11 @@ class IStrategy(ABC, HyperStrategyMixin):
         """
         pass
 
-    def bot_loop_start(self, current_time: datetime, **kwargs) -> None:
+    def bot_loop_start(self, **kwargs) -> None:
         """
         Called at the start of the bot iteration (one loop).
         Might be used to perform pair-independent tasks
         (e.g. gather some remote resource for comparison)
-        :param current_time: datetime object, containing the current datetime
         :param **kwargs: Ensure to keep this here so updates to this won't break your strategy.
         """
         pass

freqtrade/templates/strategy_subtemplates/strategy_methods_advanced.j2

@@ -1,5 +1,5 @@
 
-def bot_loop_start(self, current_time: datetime, **kwargs) -> None:
+def bot_loop_start(self, **kwargs) -> None:
     """
     Called at the start of the bot iteration (one loop).
     Might be used to perform pair-independent tasks
@@ -8,7 +8,6 @@ def bot_loop_start(self, current_time: datetime, **kwargs) -> None:
     For full documentation please go to https://www.freqtrade.io/en/latest/strategy-advanced/
 
     When not implemented by a strategy, this simply does nothing.
-    :param current_time: datetime object, containing the current datetime
     :param **kwargs: Ensure to keep this here so updates to this won't break your strategy.
     """
     pass

requirements-dev.txt

@@ -7,9 +7,9 @@
 -r docs/requirements-docs.txt
 
 coveralls==3.3.1
-ruff==0.0.260
+ruff==0.0.257
 mypy==1.1.1
-pre-commit==3.2.1
+pre-commit==3.2.0
 pytest==7.2.2
 pytest-asyncio==0.21.0
 pytest-cov==4.0.0
@@ -25,8 +25,8 @@ httpx==0.23.3
 nbconvert==7.2.10
 
 # mypy types
-types-cachetools==5.3.0.5
+types-cachetools==5.3.0.4
 types-filelock==3.2.7
-types-requests==2.28.11.17
-types-tabulate==0.9.0.2
-types-python-dateutil==2.8.19.11
+types-requests==2.28.11.15
+types-tabulate==0.9.0.1
+types-python-dateutil==2.8.19.10

requirements-freqai.txt

@@ -5,7 +5,7 @@
 # Required for freqai
 scikit-learn==1.1.3
 joblib==1.2.0
-catboost==1.1.1; platform_machine != 'aarch64' and 'arm' not in platform_machine and python_version < '3.11'
+catboost==1.1.1; platform_machine != 'aarch64' and python_version < '3.11'
 lightgbm==3.3.5
-xgboost==1.7.5
-tensorboard==2.12.1
+xgboost==1.7.4
+tensorboard==2.12.0

requirements-hyperopt.txt

@@ -5,5 +5,5 @@
 scipy==1.10.1
 scikit-learn==1.1.3
 scikit-optimize==0.9.0
-filelock==3.10.6
+filelock==3.10.0
 progressbar2==4.2.0

requirements-plot.txt

@@ -1,4 +1,4 @@
 # Include all requirements to run the bot.
 -r requirements.txt
 
-plotly==5.14.0
+plotly==5.13.1

requirements.txt

@@ -2,10 +2,10 @@ numpy==1.24.2
 pandas==1.5.3
 pandas-ta==0.3.14b
 
-ccxt==3.0.50
-cryptography==40.0.1
+ccxt==3.0.23
+cryptography==39.0.2
 aiohttp==3.8.4
-SQLAlchemy==2.0.8
+SQLAlchemy==2.0.7
 python-telegram-bot==13.15
 arrow==1.2.3
 cachetools==4.2.2
@@ -28,14 +28,14 @@ py_find_1st==1.1.5
 # Load ticker files 30% faster
 python-rapidjson==1.10
 # Properly format api responses
-orjson==3.8.9
+orjson==3.8.7
 
 # Notify systemd
 sdnotify==0.3.2
 
 # API Server
 fastapi==0.95.0
-pydantic==1.10.7
+pydantic==1.10.6
 uvicorn==0.21.1
 pyjwt==2.6.0
 aiofiles==23.1.0
@@ -53,7 +53,7 @@ python-dateutil==2.8.2
 schedule==1.1.0
 
 #WS Messages
-websockets==11.0
+websockets==10.4
 janus==1.0.0
 
 ast-comments==1.0.1

setup.py

@@ -59,7 +59,7 @@ setup(
     install_requires=[
         # from requirements.txt
         'ccxt>=2.6.26',
-        'SQLAlchemy>=2.0.6',
+        'SQLAlchemy',
         'python-telegram-bot>=13.4',
         'arrow>=0.17.0',
         'cachetools',

tests/data/test_datahandler.py

@@ -252,7 +252,7 @@ def test_datahandler__check_empty_df(testdatadir, caplog):
     assert log_has_re(expected_text, caplog)
 
 
-@pytest.mark.parametrize('datahandler', ['parquet'])
+@pytest.mark.parametrize('datahandler', ['feather', 'parquet'])
 def test_datahandler_trades_not_supported(datahandler, testdatadir, ):
     dh = get_datahandler(testdatadir, datahandler)
     with pytest.raises(NotImplementedError):
@@ -496,58 +496,6 @@ def test_hdf5datahandler_ohlcv_purge(mocker, testdatadir):
     assert unlinkmock.call_count == 2
 
 
-def test_featherdatahandler_trades_load(testdatadir):
-    dh = get_datahandler(testdatadir, 'feather')
-    trades = dh.trades_load('XRP/ETH')
-    assert isinstance(trades, list)
-    assert trades[0][0] == 1570752011620
-    assert trades[-1][-1] == 0.1986231
-
-    trades1 = dh.trades_load('UNITTEST/NONEXIST')
-    assert trades1 == []
-
-
-def test_featherdatahandler_trades_store(testdatadir, tmpdir):
-    tmpdir1 = Path(tmpdir)
-    dh = get_datahandler(testdatadir, 'feather')
-    trades = dh.trades_load('XRP/ETH')
-
-    dh1 = get_datahandler(tmpdir1, 'feather')
-    dh1.trades_store('XRP/NEW', trades)
-    file = tmpdir1 / 'XRP_NEW-trades.feather'
-    assert file.is_file()
-    # Load trades back
-    trades_new = dh1.trades_load('XRP/NEW')
-
-    assert len(trades_new) == len(trades)
-    assert trades[0][0] == trades_new[0][0]
-    assert trades[0][1] == trades_new[0][1]
-    # assert trades[0][2] == trades_new[0][2]  # This is nan - so comparison does not make sense
-    assert trades[0][3] == trades_new[0][3]
-    assert trades[0][4] == trades_new[0][4]
-    assert trades[0][5] == trades_new[0][5]
-    assert trades[0][6] == trades_new[0][6]
-    assert trades[-1][0] == trades_new[-1][0]
-    assert trades[-1][1] == trades_new[-1][1]
-    # assert trades[-1][2] == trades_new[-1][2]  # This is nan - so comparison does not make sense
-    assert trades[-1][3] == trades_new[-1][3]
-    assert trades[-1][4] == trades_new[-1][4]
-    assert trades[-1][5] == trades_new[-1][5]
-    assert trades[-1][6] == trades_new[-1][6]
-
-
-def test_featherdatahandler_trades_purge(mocker, testdatadir):
-    mocker.patch.object(Path, "exists", MagicMock(return_value=False))
-    unlinkmock = mocker.patch.object(Path, "unlink", MagicMock())
-    dh = get_datahandler(testdatadir, 'feather')
-    assert not dh.trades_purge('UNITTEST/NONEXIST')
-    assert unlinkmock.call_count == 0
-
-    mocker.patch.object(Path, "exists", MagicMock(return_value=True))
-    assert dh.trades_purge('UNITTEST/NONEXIST')
-    assert unlinkmock.call_count == 1
-
-
 def test_gethandlerclass():
     cl = get_datahandlerclass('json')
     assert cl == JsonDataHandler

tests/exchange/test_binance.py

@@ -15,8 +15,8 @@ from tests.exchange.test_exchange import ccxt_exceptionhandlers
     ('buy', 'limit', 'gtc', {'timeInForce': 'GTC'}),
     ('buy', 'limit', 'IOC', {'timeInForce': 'IOC'}),
     ('buy', 'market', 'IOC', {}),
-    ('buy', 'limit', 'PO', {'timeInForce': 'PO'}),
-    ('sell', 'limit', 'PO', {'timeInForce': 'PO'}),
+    ('buy', 'limit', 'PO', {'postOnly': True}),
+    ('sell', 'limit', 'PO', {'postOnly': True}),
     ('sell', 'market', 'PO', {}),
     ])
 def test__get_params_binance(default_conf, mocker, side, type, time_in_force, expected):
@@ -48,7 +48,7 @@ def test_create_stoploss_order_binance(default_conf, mocker, limitratio, expecte
     default_conf['margin_mode'] = MarginMode.ISOLATED
     default_conf['trading_mode'] = trademode
     mocker.patch(f'{EXMS}.amount_to_precision', lambda s, x, y: y)
-    mocker.patch(f'{EXMS}.price_to_precision', lambda s, x, y, **kwargs: y)
+    mocker.patch(f'{EXMS}.price_to_precision', lambda s, x, y: y)
 
     exchange = get_patched_exchange(mocker, default_conf, api_mock, 'binance')
 
@@ -127,7 +127,7 @@ def test_create_stoploss_order_dry_run_binance(default_conf, mocker):
     order_type = 'stop_loss_limit'
     default_conf['dry_run'] = True
     mocker.patch(f'{EXMS}.amount_to_precision', lambda s, x, y: y)
-    mocker.patch(f'{EXMS}.price_to_precision', lambda s, x, y, **kwargs: y)
+    mocker.patch(f'{EXMS}.price_to_precision', lambda s, x, y: y)
 
     exchange = get_patched_exchange(mocker, default_conf, api_mock, 'binance')
 

tests/exchange/test_exchange.py

@@ -8,7 +8,6 @@ from unittest.mock import MagicMock, Mock, PropertyMock, patch
 import arrow
 import ccxt
 import pytest
-from ccxt import DECIMAL_PLACES, ROUND, ROUND_UP, TICK_SIZE, TRUNCATE
 from pandas import DataFrame
 
 from freqtrade.enums import CandleType, MarginMode, TradingMode
@@ -114,21 +113,18 @@ async def async_ccxt_exception(mocker, default_conf, api_mock, fun, mock_ccxt_fu
             exchange = get_patched_exchange(mocker, default_conf, api_mock)
             await getattr(exchange, fun)(**kwargs)
         assert api_mock.__dict__[mock_ccxt_fun].call_count == retries
-    exchange.close()
 
     with pytest.raises(TemporaryError):
         api_mock.__dict__[mock_ccxt_fun] = MagicMock(side_effect=ccxt.NetworkError("DeadBeef"))
         exchange = get_patched_exchange(mocker, default_conf, api_mock)
         await getattr(exchange, fun)(**kwargs)
     assert api_mock.__dict__[mock_ccxt_fun].call_count == retries
-    exchange.close()
 
     with pytest.raises(OperationalException):
         api_mock.__dict__[mock_ccxt_fun] = MagicMock(side_effect=ccxt.BaseError("DeadBeef"))
         exchange = get_patched_exchange(mocker, default_conf, api_mock)
         await getattr(exchange, fun)(**kwargs)
     assert api_mock.__dict__[mock_ccxt_fun].call_count == 1
-    exchange.close()
 
 
 def test_init(default_conf, mocker, caplog):
@@ -316,54 +312,35 @@ def test_amount_to_precision(amount, precision_mode, precision, expected,):
     assert amount_to_precision(amount, precision, precision_mode) == expected
 
 
-@pytest.mark.parametrize("price,precision_mode,precision,expected,rounding_mode", [
-    # Tests for DECIMAL_PLACES, ROUND_UP
-    (2.34559, 2, 4, 2.3456, ROUND_UP),
-    (2.34559, 2, 5, 2.34559, ROUND_UP),
-    (2.34559, 2, 3, 2.346, ROUND_UP),
-    (2.9999, 2, 3, 3.000, ROUND_UP),
-    (2.9909, 2, 3, 2.991, ROUND_UP),
-    # Tests for DECIMAL_PLACES, ROUND
-    (2.345600000000001, DECIMAL_PLACES, 4, 2.3456, ROUND),
-    (2.345551, DECIMAL_PLACES, 4, 2.3456, ROUND),
-    (2.49, DECIMAL_PLACES, 0, 2., ROUND),
-    (2.51, DECIMAL_PLACES, 0, 3., ROUND),
-    (5.1, DECIMAL_PLACES, -1, 10., ROUND),
-    (4.9, DECIMAL_PLACES, -1, 0., ROUND),
-    # Tests for TICK_SIZE, ROUND_UP
-    (2.34559, TICK_SIZE, 0.0001, 2.3456, ROUND_UP),
-    (2.34559, TICK_SIZE, 0.00001, 2.34559, ROUND_UP),
-    (2.34559, TICK_SIZE, 0.001, 2.346, ROUND_UP),
-    (2.9999, TICK_SIZE, 0.001, 3.000, ROUND_UP),
-    (2.9909, TICK_SIZE, 0.001, 2.991, ROUND_UP),
-    (2.9909, TICK_SIZE, 0.005, 2.995, ROUND_UP),
-    (2.9973, TICK_SIZE, 0.005, 3.0, ROUND_UP),
-    (2.9977, TICK_SIZE, 0.005, 3.0, ROUND_UP),
-    (234.43, TICK_SIZE, 0.5, 234.5, ROUND_UP),
-    (234.53, TICK_SIZE, 0.5, 235.0, ROUND_UP),
-    (0.891534, TICK_SIZE, 0.0001, 0.8916, ROUND_UP),
-    (64968.89, TICK_SIZE, 0.01, 64968.89, ROUND_UP),
-    (0.000000003483, TICK_SIZE, 1e-12, 0.000000003483, ROUND_UP),
-    # Tests for TICK_SIZE, ROUND
-    (2.49, TICK_SIZE, 1., 2., ROUND),
-    (2.51, TICK_SIZE, 1., 3., ROUND),
-    (2.000000051, TICK_SIZE, 0.0000001, 2.0000001, ROUND),
-    (2.000000049, TICK_SIZE, 0.0000001, 2., ROUND),
-    (2.9909, TICK_SIZE, 0.005, 2.990, ROUND),
-    (2.9973, TICK_SIZE, 0.005, 2.995, ROUND),
-    (2.9977, TICK_SIZE, 0.005, 3.0, ROUND),
-    (234.24, TICK_SIZE, 0.5, 234., ROUND),
-    (234.26, TICK_SIZE, 0.5, 234.5, ROUND),
-    # Tests for TRUNCATTE
-    (2.34559, 2, 4, 2.3455, TRUNCATE),
-    (2.34559, 2, 5, 2.34559, TRUNCATE),
-    (2.34559, 2, 3, 2.345, TRUNCATE),
-    (2.9999, 2, 3, 2.999, TRUNCATE),
-    (2.9909, 2, 3, 2.990, TRUNCATE),
+@pytest.mark.parametrize("price,precision_mode,precision,expected", [
+    (2.34559, 2, 4, 2.3456),
+    (2.34559, 2, 5, 2.34559),
+    (2.34559, 2, 3, 2.346),
+    (2.9999, 2, 3, 3.000),
+    (2.9909, 2, 3, 2.991),
+    # Tests for Tick_size
+    (2.34559, 4, 0.0001, 2.3456),
+    (2.34559, 4, 0.00001, 2.34559),
+    (2.34559, 4, 0.001, 2.346),
+    (2.9999, 4, 0.001, 3.000),
+    (2.9909, 4, 0.001, 2.991),
+    (2.9909, 4, 0.005, 2.995),
+    (2.9973, 4, 0.005, 3.0),
+    (2.9977, 4, 0.005, 3.0),
+    (234.43, 4, 0.5, 234.5),
+    (234.53, 4, 0.5, 235.0),
+    (0.891534, 4, 0.0001, 0.8916),
+    (64968.89, 4, 0.01, 64968.89),
+    (0.000000003483, 4, 1e-12, 0.000000003483),
+
 ])
-def test_price_to_precision(price, precision_mode, precision, expected, rounding_mode):
-    assert price_to_precision(
-        price, precision, precision_mode, rounding_mode=rounding_mode) == expected
+def test_price_to_precision(price, precision_mode, precision, expected):
+    # digits counting mode
+    # DECIMAL_PLACES = 2
+    # SIGNIFICANT_DIGITS = 3
+    # TICK_SIZE = 4
+
+    assert price_to_precision(price, precision, precision_mode) == expected
 
 
 @pytest.mark.parametrize("price,precision_mode,precision,expected", [
@@ -437,7 +414,7 @@ def test__get_stake_amount_limit(mocker, default_conf) -> None:
     }
     mocker.patch(f'{EXMS}.markets', PropertyMock(return_value=markets))
     result = exchange.get_min_pair_stake_amount('ETH/BTC', 2, stoploss)
-    expected_result = 2 * 2 * (1 + 0.05)
+    expected_result = 2 * 2 * (1 + 0.05) / (1 - abs(stoploss))
     assert pytest.approx(result) == expected_result
     # With Leverage
     result = exchange.get_min_pair_stake_amount('ETH/BTC', 2, stoploss, 5.0)
@@ -446,14 +423,14 @@ def test__get_stake_amount_limit(mocker, default_conf) -> None:
     result = exchange.get_max_pair_stake_amount('ETH/BTC', 2)
     assert result == 20000
 
-    # min amount and cost are set (cost is minimal and therefore ignored)
+    # min amount and cost are set (cost is minimal)
     markets["ETH/BTC"]["limits"] = {
         'cost': {'min': 2, 'max': None},
         'amount': {'min': 2, 'max': None},
     }
     mocker.patch(f'{EXMS}.markets', PropertyMock(return_value=markets))
     result = exchange.get_min_pair_stake_amount('ETH/BTC', 2, stoploss)
-    expected_result = max(2, 2 * 2) * (1 + 0.05)
+    expected_result = max(2, 2 * 2) * (1 + 0.05) / (1 - abs(stoploss))
     assert pytest.approx(result) == expected_result
     # With Leverage
     result = exchange.get_min_pair_stake_amount('ETH/BTC', 2, stoploss, 10)
@@ -496,9 +473,6 @@ def test__get_stake_amount_limit(mocker, default_conf) -> None:
     result = exchange.get_max_pair_stake_amount('ETH/BTC', 2)
     assert result == 1000
 
-    result = exchange.get_max_pair_stake_amount('ETH/BTC', 2, 12.0)
-    assert result == 1000 / 12
-
     markets["ETH/BTC"]["contractSize"] = '0.01'
     default_conf['trading_mode'] = 'futures'
     default_conf['margin_mode'] = 'isolated'
@@ -1462,10 +1436,7 @@ def test_buy_prod(default_conf, mocker, exchange_name):
     assert api_mock.create_order.call_args[0][1] == order_type
     assert api_mock.create_order.call_args[0][2] == 'buy'
     assert api_mock.create_order.call_args[0][3] == 1
-    if exchange._order_needs_price(order_type):
-        assert api_mock.create_order.call_args[0][4] == 200
-    else:
-        assert api_mock.create_order.call_args[0][4] is None
+    assert api_mock.create_order.call_args[0][4] is None
 
     api_mock.create_order.reset_mock()
     order_type = 'limit'
@@ -1570,10 +1541,7 @@ def test_buy_considers_time_in_force(default_conf, mocker, exchange_name):
     assert api_mock.create_order.call_args[0][1] == order_type
     assert api_mock.create_order.call_args[0][2] == 'buy'
     assert api_mock.create_order.call_args[0][3] == 1
-    if exchange._order_needs_price(order_type):
-        assert api_mock.create_order.call_args[0][4] == 200
-    else:
-        assert api_mock.create_order.call_args[0][4] is None
+    assert api_mock.create_order.call_args[0][4] is None
     # Market orders should not send timeInForce!!
     assert "timeInForce" not in api_mock.create_order.call_args[0][5]
 
@@ -1617,10 +1585,7 @@ def test_sell_prod(default_conf, mocker, exchange_name):
     assert api_mock.create_order.call_args[0][1] == order_type
     assert api_mock.create_order.call_args[0][2] == 'sell'
     assert api_mock.create_order.call_args[0][3] == 1
-    if exchange._order_needs_price(order_type):
-        assert api_mock.create_order.call_args[0][4] == 200
-    else:
-        assert api_mock.create_order.call_args[0][4] is None
+    assert api_mock.create_order.call_args[0][4] is None
 
     api_mock.create_order.reset_mock()
     order_type = 'limit'
@@ -1714,10 +1679,7 @@ def test_sell_considers_time_in_force(default_conf, mocker, exchange_name):
     assert api_mock.create_order.call_args[0][1] == order_type
     assert api_mock.create_order.call_args[0][2] == 'sell'
     assert api_mock.create_order.call_args[0][3] == 1
-    if exchange._order_needs_price(order_type):
-        assert api_mock.create_order.call_args[0][4] == 200
-    else:
-        assert api_mock.create_order.call_args[0][4] is None
+    assert api_mock.create_order.call_args[0][4] is None
     # Market orders should not send timeInForce!!
     assert "timeInForce" not in api_mock.create_order.call_args[0][5]
 
@@ -2286,6 +2248,7 @@ def test_refresh_latest_ohlcv_cache(mocker, default_conf, candle_type, time_mach
     assert res[pair2].at[0, 'open']
 
 
+@pytest.mark.asyncio
 @pytest.mark.parametrize("exchange_name", EXCHANGES)
 async def test__async_get_candle_history(default_conf, mocker, caplog, exchange_name):
     ohlcv = [
@@ -2314,7 +2277,7 @@ async def test__async_get_candle_history(default_conf, mocker, caplog, exchange_
     assert res[3] == ohlcv
     assert exchange._api_async.fetch_ohlcv.call_count == 1
     assert not log_has(f"Using cached candle (OHLCV) data for {pair} ...", caplog)
-    exchange.close()
+
     # exchange = Exchange(default_conf)
     await async_ccxt_exception(mocker, default_conf, MagicMock(),
                                "_async_get_candle_history", "fetch_ohlcv",
@@ -2329,17 +2292,15 @@ async def test__async_get_candle_history(default_conf, mocker, caplog, exchange_
         await exchange._async_get_candle_history(pair, "5m", CandleType.SPOT,
                                                  (arrow.utcnow().int_timestamp - 2000) * 1000)
 
-    exchange.close()
-
     with pytest.raises(OperationalException, match=r'Exchange.* does not support fetching '
                                                    r'historical candle \(OHLCV\) data\..*'):
         api_mock.fetch_ohlcv = MagicMock(side_effect=ccxt.NotSupported("Not supported"))
         exchange = get_patched_exchange(mocker, default_conf, api_mock, id=exchange_name)
         await exchange._async_get_candle_history(pair, "5m", CandleType.SPOT,
                                                  (arrow.utcnow().int_timestamp - 2000) * 1000)
-    exchange.close()
 
 
+@pytest.mark.asyncio
 async def test__async_kucoin_get_candle_history(default_conf, mocker, caplog):
     from freqtrade.exchange.common import _reset_logging_mixin
     _reset_logging_mixin()
@@ -2380,9 +2341,9 @@ async def test__async_kucoin_get_candle_history(default_conf, mocker, caplog):
         # Expect the "returned exception" message 12 times (4 retries * 3 (loop))
         assert num_log_has_re(msg, caplog) == 12
         assert num_log_has_re(msg2, caplog) == 9
-    exchange.close()
 
 
+@pytest.mark.asyncio
 async def test__async_get_candle_history_empty(default_conf, mocker, caplog):
     """ Test empty exchange result """
     ohlcv = []
@@ -2402,7 +2363,6 @@ async def test__async_get_candle_history_empty(default_conf, mocker, caplog):
     assert res[2] == CandleType.SPOT
     assert res[3] == ohlcv
     assert exchange._api_async.fetch_ohlcv.call_count == 1
-    exchange.close()
 
 
 def test_refresh_latest_ohlcv_inv_result(default_conf, mocker, caplog):
@@ -2797,6 +2757,7 @@ async def test___async_get_candle_history_sort(default_conf, mocker, exchange_na
     assert res_ohlcv[9][5] == 2.31452783
 
 
+@pytest.mark.asyncio
 @pytest.mark.parametrize("exchange_name", EXCHANGES)
 async def test__async_fetch_trades(default_conf, mocker, caplog, exchange_name,
                                    fetch_trades_result):
@@ -2824,8 +2785,8 @@ async def test__async_fetch_trades(default_conf, mocker, caplog, exchange_name,
     assert exchange._api_async.fetch_trades.call_args[1]['limit'] == 1000
     assert exchange._api_async.fetch_trades.call_args[1]['params'] == {'from': '123'}
     assert log_has_re(f"Fetching trades for pair {pair}, params: .*", caplog)
-    exchange.close()
 
+    exchange = Exchange(default_conf)
     await async_ccxt_exception(mocker, default_conf, MagicMock(),
                                "_async_fetch_trades", "fetch_trades",
                                pair='ABCD/BTC', since=None)
@@ -2835,16 +2796,15 @@ async def test__async_fetch_trades(default_conf, mocker, caplog, exchange_name,
         api_mock.fetch_trades = MagicMock(side_effect=ccxt.BaseError("Unknown error"))
         exchange = get_patched_exchange(mocker, default_conf, api_mock, id=exchange_name)
         await exchange._async_fetch_trades(pair, since=(arrow.utcnow().int_timestamp - 2000) * 1000)
-    exchange.close()
 
     with pytest.raises(OperationalException, match=r'Exchange.* does not support fetching '
                                                    r'historical trade data\..*'):
         api_mock.fetch_trades = MagicMock(side_effect=ccxt.NotSupported("Not supported"))
         exchange = get_patched_exchange(mocker, default_conf, api_mock, id=exchange_name)
         await exchange._async_fetch_trades(pair, since=(arrow.utcnow().int_timestamp - 2000) * 1000)
-    exchange.close()
 
 
+@pytest.mark.asyncio
 @pytest.mark.parametrize("exchange_name", EXCHANGES)
 async def test__async_fetch_trades_contract_size(default_conf, mocker, caplog, exchange_name,
                                                  fetch_trades_result):
@@ -2879,7 +2839,6 @@ async def test__async_fetch_trades_contract_size(default_conf, mocker, caplog, e
     pair = 'ETH/USDT:USDT'
     res = await exchange._async_fetch_trades(pair, since=None, params=None)
     assert res[0][5] == 300
-    exchange.close()
 
 
 @pytest.mark.asyncio
@@ -4848,6 +4807,7 @@ def test_load_leverage_tiers(mocker, default_conf, leverage_tiers, exchange_name
     )
 
 
+@pytest.mark.asyncio
 @pytest.mark.parametrize('exchange_name', EXCHANGES)
 async def test_get_market_leverage_tiers(mocker, default_conf, exchange_name):
     default_conf['exchange']['name'] = exchange_name
@@ -5304,7 +5264,7 @@ def test_stoploss_contract_size(mocker, default_conf, contract_size, order_amoun
     })
     default_conf['dry_run'] = False
     mocker.patch(f'{EXMS}.amount_to_precision', lambda s, x, y: y)
-    mocker.patch(f'{EXMS}.price_to_precision', lambda s, x, y, **kwargs: y)
+    mocker.patch(f'{EXMS}.price_to_precision', lambda s, x, y: y)
 
     exchange = get_patched_exchange(mocker, default_conf, api_mock)
     exchange.get_contract_size = MagicMock(return_value=contract_size)
@@ -5324,10 +5284,3 @@ def test_stoploss_contract_size(mocker, default_conf, contract_size, order_amoun
     assert order['cost'] == 100
     assert order['filled'] == 100
     assert order['remaining'] == 100
-
-
-def test_price_to_precision_with_default_conf(default_conf, mocker):
-    conf = copy.deepcopy(default_conf)
-    patched_ex = get_patched_exchange(mocker, conf)
-    prec_price = patched_ex.price_to_precision("XRP/USDT", 1.0000000101)
-    assert prec_price == 1.00000001

tests/exchange/test_gate.py

@@ -4,9 +4,42 @@ from unittest.mock import MagicMock
 import pytest
 
 from freqtrade.enums import MarginMode, TradingMode
+from freqtrade.exceptions import OperationalException
+from freqtrade.exchange import Gate
+from freqtrade.resolvers.exchange_resolver import ExchangeResolver
 from tests.conftest import EXMS, get_patched_exchange
 
 
+def test_validate_order_types_gate(default_conf, mocker):
+    default_conf['exchange']['name'] = 'gate'
+    mocker.patch(f'{EXMS}._init_ccxt')
+    mocker.patch(f'{EXMS}._load_markets', return_value={})
+    mocker.patch(f'{EXMS}.validate_pairs')
+    mocker.patch(f'{EXMS}.validate_timeframes')
+    mocker.patch(f'{EXMS}.validate_stakecurrency')
+    mocker.patch(f'{EXMS}.validate_pricing')
+    mocker.patch(f'{EXMS}.name', 'Gate')
+    exch = ExchangeResolver.load_exchange('gate', default_conf, True)
+    assert isinstance(exch, Gate)
+
+    default_conf['order_types'] = {
+        'entry': 'market',
+        'exit': 'limit',
+        'stoploss': 'market',
+        'stoploss_on_exchange': False
+    }
+
+    with pytest.raises(OperationalException,
+                       match=r'Exchange .* does not support market orders.'):
+        ExchangeResolver.load_exchange('gate', default_conf, True)
+
+    # market-orders supported on futures markets.
+    default_conf['trading_mode'] = 'futures'
+    default_conf['margin_mode'] = 'isolated'
+    ex = ExchangeResolver.load_exchange('gate', default_conf, True)
+    assert ex
+
+
 @pytest.mark.usefixtures("init_persistence")
 def test_fetch_stoploss_order_gate(default_conf, mocker):
     exchange = get_patched_exchange(mocker, default_conf, id='gate')

tests/exchange/test_huobi.py

@@ -27,7 +27,7 @@ def test_create_stoploss_order_huobi(default_conf, mocker, limitratio, expected,
     })
     default_conf['dry_run'] = False
     mocker.patch(f'{EXMS}.amount_to_precision', lambda s, x, y: y)
-    mocker.patch(f'{EXMS}.price_to_precision', lambda s, x, y, **kwargs: y)
+    mocker.patch(f'{EXMS}.price_to_precision', lambda s, x, y: y)
 
     exchange = get_patched_exchange(mocker, default_conf, api_mock, 'huobi')
 
@@ -80,7 +80,7 @@ def test_create_stoploss_order_dry_run_huobi(default_conf, mocker):
     order_type = 'stop-limit'
     default_conf['dry_run'] = True
     mocker.patch(f'{EXMS}.amount_to_precision', lambda s, x, y: y)
-    mocker.patch(f'{EXMS}.price_to_precision', lambda s, x, y, **kwargs: y)
+    mocker.patch(f'{EXMS}.price_to_precision', lambda s, x, y: y)
 
     exchange = get_patched_exchange(mocker, default_conf, api_mock, 'huobi')
 

tests/exchange/test_kraken.py

@@ -29,7 +29,7 @@ def test_buy_kraken_trading_agreement(default_conf, mocker):
     default_conf['dry_run'] = False
 
     mocker.patch(f'{EXMS}.amount_to_precision', lambda s, x, y: y)
-    mocker.patch(f'{EXMS}.price_to_precision', lambda s, x, y, **kwargs: y)
+    mocker.patch(f'{EXMS}.price_to_precision', lambda s, x, y: y)
     exchange = get_patched_exchange(mocker, default_conf, api_mock, id="kraken")
 
     order = exchange.create_order(
@@ -192,7 +192,7 @@ def test_create_stoploss_order_kraken(default_conf, mocker, ordertype, side, adj
 
     default_conf['dry_run'] = False
     mocker.patch(f'{EXMS}.amount_to_precision', lambda s, x, y: y)
-    mocker.patch(f'{EXMS}.price_to_precision', lambda s, x, y, **kwargs: y)
+    mocker.patch(f'{EXMS}.price_to_precision', lambda s, x, y: y)
 
     exchange = get_patched_exchange(mocker, default_conf, api_mock, 'kraken')
 
@@ -263,7 +263,7 @@ def test_create_stoploss_order_dry_run_kraken(default_conf, mocker, side):
     api_mock = MagicMock()
     default_conf['dry_run'] = True
     mocker.patch(f'{EXMS}.amount_to_precision', lambda s, x, y: y)
-    mocker.patch(f'{EXMS}.price_to_precision', lambda s, x, y, **kwargs: y)
+    mocker.patch(f'{EXMS}.price_to_precision', lambda s, x, y: y)
 
     exchange = get_patched_exchange(mocker, default_conf, api_mock, 'kraken')
 

tests/exchange/test_kucoin.py

@@ -27,7 +27,7 @@ def test_create_stoploss_order_kucoin(default_conf, mocker, limitratio, expected
     })
     default_conf['dry_run'] = False
     mocker.patch(f'{EXMS}.amount_to_precision', lambda s, x, y: y)
-    mocker.patch(f'{EXMS}.price_to_precision', lambda s, x, y, **kwargs: y)
+    mocker.patch(f'{EXMS}.price_to_precision', lambda s, x, y: y)
 
     exchange = get_patched_exchange(mocker, default_conf, api_mock, 'kucoin')
     if order_type == 'limit':
@@ -88,7 +88,7 @@ def test_stoploss_order_dry_run_kucoin(default_conf, mocker):
     order_type = 'market'
     default_conf['dry_run'] = True
     mocker.patch(f'{EXMS}.amount_to_precision', lambda s, x, y: y)
-    mocker.patch(f'{EXMS}.price_to_precision', lambda s, x, y, **kwargs: y)
+    mocker.patch(f'{EXMS}.price_to_precision', lambda s, x, y: y)
 
     exchange = get_patched_exchange(mocker, default_conf, api_mock, 'kucoin')
 

tests/optimize/test_backtest_detail.py

@@ -5,7 +5,7 @@ from unittest.mock import MagicMock
 import pytest
 
 from freqtrade.data.history import get_timerange
-from freqtrade.enums import ExitType, TradingMode
+from freqtrade.enums import ExitType
 from freqtrade.optimize.backtesting import Backtesting
 from freqtrade.persistence.trade_model import LocalTrade
 from tests.conftest import EXMS, patch_exchange
@@ -925,14 +925,12 @@ def test_backtest_results(default_conf, fee, mocker, caplog, data: BTContainer)
     mocker.patch(f"{EXMS}.get_min_pair_stake_amount", return_value=0.00001)
     mocker.patch(f"{EXMS}.get_max_pair_stake_amount", return_value=float('inf'))
     mocker.patch(f"{EXMS}.get_max_leverage", return_value=100)
-    mocker.patch(f"{EXMS}.calculate_funding_fees", return_value=0)
     patch_exchange(mocker)
     frame = _build_backtest_dataframe(data.data)
     backtesting = Backtesting(default_conf)
     # TODO: Should we initialize this properly??
-    backtesting.trading_mode = TradingMode.MARGIN
-    backtesting._set_strategy(backtesting.strategylist[0])
     backtesting._can_short = True
+    backtesting._set_strategy(backtesting.strategylist[0])
     backtesting.required_startup = 0
     backtesting.strategy.advise_entry = lambda a, m: frame
     backtesting.strategy.advise_exit = lambda a, m: frame

tests/optimize/test_backtesting.py

@@ -344,7 +344,7 @@ def test_backtest_abort(default_conf, mocker, testdatadir) -> None:
     assert backtesting.progress.progress == 0
 
 
-def test_backtesting_start(default_conf, mocker, caplog) -> None:
+def test_backtesting_start(default_conf, mocker, testdatadir, caplog) -> None:
     def get_timerange(input1):
         return Arrow(2017, 11, 14, 21, 17), Arrow(2017, 11, 14, 22, 59)
 
@@ -367,7 +367,6 @@ def test_backtesting_start(default_conf, mocker, caplog) -> None:
     backtesting = Backtesting(default_conf)
     backtesting._set_strategy(backtesting.strategylist[0])
     backtesting.strategy.bot_loop_start = MagicMock()
-    backtesting.strategy.bot_start = MagicMock()
     backtesting.start()
     # check the logs, that will contain the backtest result
     exists = [
@@ -377,8 +376,7 @@ def test_backtesting_start(default_conf, mocker, caplog) -> None:
     for line in exists:
         assert log_has(line, caplog)
     assert backtesting.strategy.dp._pairlists is not None
-    assert backtesting.strategy.bot_start.call_count == 1
-    assert backtesting.strategy.bot_loop_start.call_count == 0
+    assert backtesting.strategy.bot_loop_start.call_count == 1
     assert sbs.call_count == 1
     assert sbc.call_count == 1
 

tests/optimize/test_backtesting_adjust_position.py

@@ -10,7 +10,7 @@ from arrow import Arrow
 from freqtrade.configuration import TimeRange
 from freqtrade.data import history
 from freqtrade.data.history import get_timerange
-from freqtrade.enums import ExitType, TradingMode
+from freqtrade.enums import ExitType
 from freqtrade.optimize.backtesting import Backtesting
 from tests.conftest import EXMS, patch_exchange
 
@@ -108,10 +108,9 @@ def test_backtest_position_adjustment_detailed(default_conf, fee, mocker, levera
     default_conf.update({
         "stake_amount": 100.0,
         "dry_run_wallet": 1000.0,
-        "strategy": "StrategyTestV3",
+        "strategy": "StrategyTestV3"
     })
     backtesting = Backtesting(default_conf)
-    backtesting.trading_mode = TradingMode.FUTURES
     backtesting._can_short = True
     backtesting._set_strategy(backtesting.strategylist[0])
     pair = 'XRP/USDT'

tests/optimize/test_hyperopt.py

@@ -872,8 +872,7 @@ 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_started is True
-    assert hyperopt.backtesting.strategy.bot_loop_started is False
+    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
@@ -923,8 +922,7 @@ def test_in_strategy_auto_hyperopt_with_parallel(mocker, hyperopt_conf, tmpdir,
 
     assert isinstance(hyperopt.custom_hyperopt, HyperOptAuto)
     assert isinstance(hyperopt.backtesting.strategy.buy_rsi, IntParameter)
-    assert hyperopt.backtesting.strategy.bot_started is True
-    assert hyperopt.backtesting.strategy.bot_loop_started is False
+    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
@@ -961,8 +959,7 @@ def test_in_strategy_auto_hyperopt_per_epoch(mocker, hyperopt_conf, tmpdir, fee)
     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 False
-    assert hyperopt.backtesting.strategy.bot_started is True
+    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/persistence/test_key_value_store.py

@@ -1,69 +0,0 @@
-from datetime import datetime, timedelta, timezone
-
-import pytest
-
-from freqtrade.persistence.key_value_store import KeyValueStore, set_startup_time
-from tests.conftest import create_mock_trades_usdt
-
-
-@pytest.mark.usefixtures("init_persistence")
-def test_key_value_store(time_machine):
-    start = datetime(2023, 1, 1, 4, tzinfo=timezone.utc)
-    time_machine.move_to(start, tick=False)
-
-    KeyValueStore.store_value("test", "testStringValue")
-    KeyValueStore.store_value("test_dt", datetime.now(timezone.utc))
-    KeyValueStore.store_value("test_float", 22.51)
-    KeyValueStore.store_value("test_int", 15)
-
-    assert KeyValueStore.get_value("test") == "testStringValue"
-    assert KeyValueStore.get_value("test") == "testStringValue"
-    assert KeyValueStore.get_string_value("test") == "testStringValue"
-    assert KeyValueStore.get_value("test_dt") == datetime.now(timezone.utc)
-    assert KeyValueStore.get_datetime_value("test_dt") == datetime.now(timezone.utc)
-    assert KeyValueStore.get_string_value("test_dt") is None
-    assert KeyValueStore.get_float_value("test_dt") is None
-    assert KeyValueStore.get_int_value("test_dt") is None
-    assert KeyValueStore.get_value("test_float") == 22.51
-    assert KeyValueStore.get_float_value("test_float") == 22.51
-    assert KeyValueStore.get_value("test_int") == 15
-    assert KeyValueStore.get_int_value("test_int") == 15
-    assert KeyValueStore.get_datetime_value("test_int") is None
-
-    time_machine.move_to(start + timedelta(days=20, hours=5), tick=False)
-    assert KeyValueStore.get_value("test_dt") != datetime.now(timezone.utc)
-    assert KeyValueStore.get_value("test_dt") == start
-    # Test update works
-    KeyValueStore.store_value("test_dt", datetime.now(timezone.utc))
-    assert KeyValueStore.get_value("test_dt") == datetime.now(timezone.utc)
-
-    KeyValueStore.store_value("test_float", 23.51)
-    assert KeyValueStore.get_value("test_float") == 23.51
-    # test deleting
-    KeyValueStore.delete_value("test_float")
-    assert KeyValueStore.get_value("test_float") is None
-    # Delete same value again (should not fail)
-    KeyValueStore.delete_value("test_float")
-
-    with pytest.raises(ValueError, match=r"Unknown value type"):
-        KeyValueStore.store_value("test_float", {'some': 'dict'})
-
-
-@pytest.mark.usefixtures("init_persistence")
-def test_set_startup_time(fee, time_machine):
-    create_mock_trades_usdt(fee)
-    start = datetime.now(timezone.utc)
-    time_machine.move_to(start, tick=False)
-    set_startup_time()
-
-    assert KeyValueStore.get_value("startup_time") == start
-    initial_time = KeyValueStore.get_value("bot_start_time")
-    assert initial_time <= start
-
-    # Simulate bot restart
-    new_start = start + timedelta(days=5)
-    time_machine.move_to(new_start, tick=False)
-    set_startup_time()
-
-    assert KeyValueStore.get_value("startup_time") == new_start
-    assert KeyValueStore.get_value("bot_start_time") == initial_time

tests/persistence/test_persistence.py

@@ -1330,78 +1330,71 @@ def test_to_json(fee):
         open_rate=0.123,
         exchange='binance',
         enter_tag=None,
-        open_order_id='dry_run_buy_12345',
-        precision_mode=1,
-        amount_precision=8.0,
-        price_precision=7.0,
+        open_order_id='dry_run_buy_12345'
     )
     result = trade.to_json()
     assert isinstance(result, dict)
 
-    assert result == {
-        'trade_id': None,
-        'pair': 'ADA/USDT',
-        'base_currency': 'ADA',
-        'quote_currency': 'USDT',
-        'is_open': None,
-        'open_date': trade.open_date.strftime(DATETIME_PRINT_FORMAT),
-        'open_timestamp': int(trade.open_date.timestamp() * 1000),
-        'open_order_id': 'dry_run_buy_12345',
-        'close_date': None,
-        'close_timestamp': None,
-        'open_rate': 0.123,
-        'open_rate_requested': None,
-        'open_trade_value': 15.1668225,
-        'fee_close': 0.0025,
-        'fee_close_cost': None,
-        'fee_close_currency': None,
-        'fee_open': 0.0025,
-        'fee_open_cost': None,
-        'fee_open_currency': None,
-        'close_rate': None,
-        'close_rate_requested': None,
-        'amount': 123.0,
-        'amount_requested': 123.0,
-        'stake_amount': 0.001,
-        'max_stake_amount': None,
-        'trade_duration': None,
-        'trade_duration_s': None,
-        'realized_profit': 0.0,
-        'realized_profit_ratio': None,
-        'close_profit': None,
-        'close_profit_pct': None,
-        'close_profit_abs': None,
-        'profit_ratio': None,
-        'profit_pct': None,
-        'profit_abs': None,
-        'exit_reason': None,
-        'exit_order_status': None,
-        'stop_loss_abs': None,
-        'stop_loss_ratio': None,
-        'stop_loss_pct': None,
-        'stoploss_order_id': None,
-        'stoploss_last_update': None,
-        'stoploss_last_update_timestamp': None,
-        'initial_stop_loss_abs': None,
-        'initial_stop_loss_pct': None,
-        'initial_stop_loss_ratio': None,
-        'min_rate': None,
-        'max_rate': None,
-        'strategy': None,
-        'enter_tag': None,
-        'timeframe': None,
-        'exchange': 'binance',
-        'leverage': None,
-        'interest_rate': None,
-        'liquidation_price': None,
-        'is_short': None,
-        'trading_mode': None,
-        'funding_fees': None,
-        'amount_precision': 8.0,
-        'price_precision': 7.0,
-        'precision_mode': 1,
-        'orders': [],
-    }
+    assert result == {'trade_id': None,
+                      'pair': 'ADA/USDT',
+                      'base_currency': 'ADA',
+                      'quote_currency': 'USDT',
+                      'is_open': None,
+                      'open_date': trade.open_date.strftime(DATETIME_PRINT_FORMAT),
+                      'open_timestamp': int(trade.open_date.timestamp() * 1000),
+                      'open_order_id': 'dry_run_buy_12345',
+                      'close_date': None,
+                      'close_timestamp': None,
+                      'open_rate': 0.123,
+                      'open_rate_requested': None,
+                      'open_trade_value': 15.1668225,
+                      'fee_close': 0.0025,
+                      'fee_close_cost': None,
+                      'fee_close_currency': None,
+                      'fee_open': 0.0025,
+                      'fee_open_cost': None,
+                      'fee_open_currency': None,
+                      'close_rate': None,
+                      'close_rate_requested': None,
+                      'amount': 123.0,
+                      'amount_requested': 123.0,
+                      'stake_amount': 0.001,
+                      'max_stake_amount': None,
+                      'trade_duration': None,
+                      'trade_duration_s': None,
+                      'realized_profit': 0.0,
+                      'realized_profit_ratio': None,
+                      'close_profit': None,
+                      'close_profit_pct': None,
+                      'close_profit_abs': None,
+                      'profit_ratio': None,
+                      'profit_pct': None,
+                      'profit_abs': None,
+                      'exit_reason': None,
+                      'exit_order_status': None,
+                      'stop_loss_abs': None,
+                      'stop_loss_ratio': None,
+                      'stop_loss_pct': None,
+                      'stoploss_order_id': None,
+                      'stoploss_last_update': None,
+                      'stoploss_last_update_timestamp': None,
+                      'initial_stop_loss_abs': None,
+                      'initial_stop_loss_pct': None,
+                      'initial_stop_loss_ratio': None,
+                      'min_rate': None,
+                      'max_rate': None,
+                      'strategy': None,
+                      'enter_tag': None,
+                      'timeframe': None,
+                      'exchange': 'binance',
+                      'leverage': None,
+                      'interest_rate': None,
+                      'liquidation_price': None,
+                      'is_short': None,
+                      'trading_mode': None,
+                      'funding_fees': None,
+                      'orders': [],
+                      }
 
     # Simulate dry_run entries
     trade = Trade(
@@ -1417,77 +1410,70 @@ def test_to_json(fee):
         close_rate=0.125,
         enter_tag='buys_signal_001',
         exchange='binance',
-        precision_mode=2,
-        amount_precision=7.0,
-        price_precision=8.0,
     )
     result = trade.to_json()
     assert isinstance(result, dict)
 
-    assert result == {
-        'trade_id': None,
-        'pair': 'XRP/BTC',
-        'base_currency': 'XRP',
-        'quote_currency': 'BTC',
-        'open_date': trade.open_date.strftime(DATETIME_PRINT_FORMAT),
-        'open_timestamp': int(trade.open_date.timestamp() * 1000),
-        'close_date': trade.close_date.strftime(DATETIME_PRINT_FORMAT),
-        'close_timestamp': int(trade.close_date.timestamp() * 1000),
-        'open_rate': 0.123,
-        'close_rate': 0.125,
-        'amount': 100.0,
-        'amount_requested': 101.0,
-        'stake_amount': 0.001,
-        'max_stake_amount': None,
-        'trade_duration': 60,
-        'trade_duration_s': 3600,
-        'stop_loss_abs': None,
-        'stop_loss_pct': None,
-        'stop_loss_ratio': None,
-        'stoploss_order_id': None,
-        'stoploss_last_update': None,
-        'stoploss_last_update_timestamp': None,
-        'initial_stop_loss_abs': None,
-        'initial_stop_loss_pct': None,
-        'initial_stop_loss_ratio': None,
-        'realized_profit': 0.0,
-        'realized_profit_ratio': None,
-        'close_profit': None,
-        'close_profit_pct': None,
-        'close_profit_abs': None,
-        'profit_ratio': None,
-        'profit_pct': None,
-        'profit_abs': None,
-        'close_rate_requested': None,
-        'fee_close': 0.0025,
-        'fee_close_cost': None,
-        'fee_close_currency': None,
-        'fee_open': 0.0025,
-        'fee_open_cost': None,
-        'fee_open_currency': None,
-        'is_open': None,
-        'max_rate': None,
-        'min_rate': None,
-        'open_order_id': None,
-        'open_rate_requested': None,
-        'open_trade_value': 12.33075,
-        'exit_reason': None,
-        'exit_order_status': None,
-        'strategy': None,
-        'enter_tag': 'buys_signal_001',
-        'timeframe': None,
-        'exchange': 'binance',
-        'leverage': None,
-        'interest_rate': None,
-        'liquidation_price': None,
-        'is_short': None,
-        'trading_mode': None,
-        'funding_fees': None,
-        'amount_precision': 7.0,
-        'price_precision': 8.0,
-        'precision_mode': 2,
-        'orders': [],
-    }
+    assert result == {'trade_id': None,
+                      'pair': 'XRP/BTC',
+                      'base_currency': 'XRP',
+                      'quote_currency': 'BTC',
+                      'open_date': trade.open_date.strftime(DATETIME_PRINT_FORMAT),
+                      'open_timestamp': int(trade.open_date.timestamp() * 1000),
+                      'close_date': trade.close_date.strftime(DATETIME_PRINT_FORMAT),
+                      'close_timestamp': int(trade.close_date.timestamp() * 1000),
+                      'open_rate': 0.123,
+                      'close_rate': 0.125,
+                      'amount': 100.0,
+                      'amount_requested': 101.0,
+                      'stake_amount': 0.001,
+                      'max_stake_amount': None,
+                      'trade_duration': 60,
+                      'trade_duration_s': 3600,
+                      'stop_loss_abs': None,
+                      'stop_loss_pct': None,
+                      'stop_loss_ratio': None,
+                      'stoploss_order_id': None,
+                      'stoploss_last_update': None,
+                      'stoploss_last_update_timestamp': None,
+                      'initial_stop_loss_abs': None,
+                      'initial_stop_loss_pct': None,
+                      'initial_stop_loss_ratio': None,
+                      'realized_profit': 0.0,
+                      'realized_profit_ratio': None,
+                      'close_profit': None,
+                      'close_profit_pct': None,
+                      'close_profit_abs': None,
+                      'profit_ratio': None,
+                      'profit_pct': None,
+                      'profit_abs': None,
+                      'close_rate_requested': None,
+                      'fee_close': 0.0025,
+                      'fee_close_cost': None,
+                      'fee_close_currency': None,
+                      'fee_open': 0.0025,
+                      'fee_open_cost': None,
+                      'fee_open_currency': None,
+                      'is_open': None,
+                      'max_rate': None,
+                      'min_rate': None,
+                      'open_order_id': None,
+                      'open_rate_requested': None,
+                      'open_trade_value': 12.33075,
+                      'exit_reason': None,
+                      'exit_order_status': None,
+                      'strategy': None,
+                      'enter_tag': 'buys_signal_001',
+                      'timeframe': None,
+                      'exchange': 'binance',
+                      'leverage': None,
+                      'interest_rate': None,
+                      'liquidation_price': None,
+                      'is_short': None,
+                      'trading_mode': None,
+                      'funding_fees': None,
+                      'orders': [],
+                      }
 
 
 def test_stoploss_reinitialization(default_conf, fee):

tests/persistence/test_trade_fromjson.py

@@ -50,8 +50,8 @@ def test_trade_fromjson():
         "stop_loss_ratio": -0.216,
         "stop_loss_pct": -21.6,
         "stoploss_order_id": null,
-        "stoploss_last_update": "2022-10-18 09:13:42",
-        "stoploss_last_update_timestamp": 1666077222000,
+        "stoploss_last_update": null,
+        "stoploss_last_update_timestamp": null,
         "initial_stop_loss_abs": 0.1981,
         "initial_stop_loss_ratio": -0.216,
         "initial_stop_loss_pct": -21.6,

tests/rpc/test_rpc.py

@@ -88,9 +88,6 @@ def test_rpc_trade_status(default_conf, ticker, fee, mocker) -> None:
         'is_short': False,
         'funding_fees': 0.0,
         'trading_mode': TradingMode.SPOT,
-        'amount_precision': 8.0,
-        'price_precision': 8.0,
-        'precision_mode': 2,
         'orders': [{
             'amount': 91.07468123, 'average': 1.098e-05, 'safe_price': 1.098e-05,
             'cost': 0.0009999999999054, 'filled': 91.07468123, 'ft_order_side': 'buy',

tests/rpc/test_rpc_apiserver.py

@@ -1,7 +1,6 @@
 """
 Unit test file for rpc/api_server.py
 """
-import asyncio
 import logging
 import time
 from datetime import datetime, timedelta, timezone
@@ -300,6 +299,10 @@ def test_api_UvicornServer(mocker):
     s = UvicornServer(uvicorn.Config(MagicMock(), port=8080, host='127.0.0.1'))
     assert thread_mock.call_count == 0
 
+    s.install_signal_handlers()
+    # Original implementation starts a thread - make sure that's not the case
+    assert thread_mock.call_count == 0
+
     # Fake started to avoid sleeping forever
     s.started = True
     s.run_in_thread()
@@ -315,6 +318,10 @@ def test_api_UvicornServer_run(mocker):
     s = UvicornServer(uvicorn.Config(MagicMock(), port=8080, host='127.0.0.1'))
     assert serve_mock.call_count == 0
 
+    s.install_signal_handlers()
+    # Original implementation starts a thread - make sure that's not the case
+    assert serve_mock.call_count == 0
+
     # Fake started to avoid sleeping forever
     s.started = True
     s.run()
@@ -324,10 +331,13 @@ def test_api_UvicornServer_run(mocker):
 def test_api_UvicornServer_run_no_uvloop(mocker, import_fails):
     serve_mock = mocker.patch('freqtrade.rpc.api_server.uvicorn_threaded.UvicornServer.serve',
                               get_mock_coro(None))
-    asyncio.set_event_loop(asyncio.new_event_loop())
     s = UvicornServer(uvicorn.Config(MagicMock(), port=8080, host='127.0.0.1'))
     assert serve_mock.call_count == 0
 
+    s.install_signal_handlers()
+    # Original implementation starts a thread - make sure that's not the case
+    assert serve_mock.call_count == 0
+
     # Fake started to avoid sleeping forever
     s.started = True
     s.run()
@@ -883,8 +893,6 @@ def test_api_profit(botclient, mocker, ticker, fee, markets, is_short, expected)
         'max_drawdown': ANY,
         'max_drawdown_abs': ANY,
         'trading_volume': expected['trading_volume'],
-        'bot_start_timestamp': 0,
-        'bot_start_date': '',
     }
 
 
@@ -1058,9 +1066,6 @@ def test_api_status(botclient, mocker, ticker, fee, markets, is_short,
         'liquidation_price': None,
         'funding_fees': None,
         'trading_mode': ANY,
-        'amount_precision': None,
-        'price_precision': None,
-        'precision_mode': None,
         'orders': [ANY],
     }
 
@@ -1266,9 +1271,6 @@ def test_api_force_entry(botclient, mocker, fee, endpoint):
         'liquidation_price': None,
         'funding_fees': None,
         'trading_mode': 'spot',
-        'amount_precision': None,
-        'price_precision': None,
-        'precision_mode': None,
         'orders': [],
     }
 

tests/strategy/strats/hyperoptable_strategy.py

@@ -50,7 +50,6 @@ class HyperoptableStrategy(StrategyTestV3):
         return prot
 
     bot_loop_started = False
-    bot_started = False
 
     def bot_loop_start(self):
         self.bot_loop_started = True
@@ -59,7 +58,6 @@ class HyperoptableStrategy(StrategyTestV3):
         """
         Parameters can also be defined here ...
         """
-        self.bot_started = True
         self.buy_rsi = IntParameter([0, 50], default=30, space='buy')
 
     def informative_pairs(self):

tests/strategy/test_interface.py

@@ -986,8 +986,7 @@ def test_auto_hyperopt_interface_loadparams(default_conf, mocker, caplog):
             }
         }
     }
-    mocker.patch('freqtrade.strategy.hyper.HyperoptTools.load_params',
-                 return_value=expected_result)
+    mocker.patch('freqtrade.strategy.hyper.json_load', return_value=expected_result)
     PairLocks.timeframe = default_conf['timeframe']
     strategy = StrategyResolver.load_strategy(default_conf)
     assert strategy.stoploss == -0.05
@@ -1006,13 +1005,11 @@ def test_auto_hyperopt_interface_loadparams(default_conf, mocker, caplog):
         }
     }
 
-    mocker.patch('freqtrade.strategy.hyper.HyperoptTools.load_params',
-                 return_value=expected_result)
+    mocker.patch('freqtrade.strategy.hyper.json_load', return_value=expected_result)
     with pytest.raises(OperationalException, match="Invalid parameter file provided."):
         StrategyResolver.load_strategy(default_conf)
 
-    mocker.patch('freqtrade.strategy.hyper.HyperoptTools.load_params',
-                 MagicMock(side_effect=ValueError()))
+    mocker.patch('freqtrade.strategy.hyper.json_load', MagicMock(side_effect=ValueError()))
 
     StrategyResolver.load_strategy(default_conf)
     assert log_has("Invalid parameter file format.", caplog)

tests/test_freqtradebot.py

@@ -356,7 +356,7 @@ def test_create_trade_no_stake_amount(default_conf_usdt, ticker_usdt, fee, mocke
 @pytest.mark.parametrize("is_short", [False, True])
 @pytest.mark.parametrize('stake_amount,create,amount_enough,max_open_trades', [
     (5.0, True, True, 99),
-    (0.042, True, False, 99),  # Amount will be adjusted to min - which is 0.051
+    (0.049, True, False, 99),  # Amount will be adjusted to min - which is 0.051
     (0, False, True, 99),
     (UNLIMITED_STAKE_AMOUNT, False, True, 0),
 ])
@@ -1060,19 +1060,9 @@ def test_execute_entry_min_leverage(mocker, default_conf_usdt, fee, limit_order,
 
 
 @pytest.mark.parametrize("is_short", [False, True])
-def test_add_stoploss_on_exchange(mocker, default_conf_usdt, limit_order, is_short, fee) -> None:
+def test_add_stoploss_on_exchange(mocker, default_conf_usdt, limit_order, is_short) -> None:
     patch_RPCManager(mocker)
     patch_exchange(mocker)
-    mocker.patch.multiple(
-        EXMS,
-        fetch_ticker=MagicMock(return_value={
-            'bid': 1.9,
-            'ask': 2.2,
-            'last': 1.9
-        }),
-        create_order=MagicMock(return_value=limit_order[entry_side(is_short)]),
-        get_fee=fee,
-    )
     order = limit_order[entry_side(is_short)]
     mocker.patch('freqtrade.freqtradebot.FreqtradeBot.handle_trade', MagicMock(return_value=True))
     mocker.patch(f'{EXMS}.fetch_order', return_value=order)
@@ -1084,10 +1074,8 @@ def test_add_stoploss_on_exchange(mocker, default_conf_usdt, limit_order, is_sho
     freqtrade = FreqtradeBot(default_conf_usdt)
     freqtrade.strategy.order_types['stoploss_on_exchange'] = True
 
-    patch_get_signal(freqtrade, enter_short=is_short, enter_long=not is_short)
-
-    freqtrade.enter_positions()
-    trade = Trade.session.scalars(select(Trade)).first()
+    # TODO: should not be magicmock
+    trade = MagicMock()
     trade.is_short = is_short
     trade.open_order_id = None
     trade.stoploss_order_id = None
@@ -1103,8 +1091,7 @@ def test_add_stoploss_on_exchange(mocker, default_conf_usdt, limit_order, is_sho
 @pytest.mark.parametrize("is_short", [False, True])
 def test_handle_stoploss_on_exchange(mocker, default_conf_usdt, fee, caplog, is_short,
                                      limit_order) -> None:
-    stop_order_dict = {'id': "13434334"}
-    stoploss = MagicMock(return_value=stop_order_dict)
+    stoploss = MagicMock(return_value={'id': 13434334})
     enter_order = limit_order[entry_side(is_short)]
     exit_order = limit_order[exit_side(is_short)]
     patch_RPCManager(mocker)
@@ -1129,9 +1116,8 @@ def test_handle_stoploss_on_exchange(mocker, default_conf_usdt, fee, caplog, is_
     # First case: when stoploss is not yet set but the order is open
     # should get the stoploss order id immediately
     # and should return false as no trade actually happened
-
-    freqtrade.enter_positions()
-    trade = Trade.session.scalars(select(Trade)).first()
+    # TODO: should not be magicmock
+    trade = MagicMock()
     trade.is_short = is_short
     trade.is_open = True
     trade.open_order_id = None
@@ -1143,62 +1129,44 @@ def test_handle_stoploss_on_exchange(mocker, default_conf_usdt, fee, caplog, is_
 
     # Second case: when stoploss is set but it is not yet hit
     # should do nothing and return false
-    stop_order_dict.update({'id': "102"})
     trade.is_open = True
     trade.open_order_id = None
-    trade.stoploss_order_id = "102"
-    trade.orders.append(
-        Order(
-            ft_order_side='stoploss',
-            ft_pair=trade.pair,
-            ft_is_open=True,
-            ft_amount=trade.amount,
-            ft_price=trade.stop_loss,
-            order_id='102',
-            status='open',
-        )
-    )
+    trade.stoploss_order_id = "100"
 
     hanging_stoploss_order = MagicMock(return_value={'status': 'open'})
     mocker.patch(f'{EXMS}.fetch_stoploss_order', hanging_stoploss_order)
 
     assert freqtrade.handle_stoploss_on_exchange(trade) is False
-    assert trade.stoploss_order_id == "102"
+    assert trade.stoploss_order_id == "100"
 
     # Third case: when stoploss was set but it was canceled for some reason
     # should set a stoploss immediately and return False
     caplog.clear()
     trade.is_open = True
     trade.open_order_id = None
-    trade.stoploss_order_id = "102"
+    trade.stoploss_order_id = "100"
 
-    canceled_stoploss_order = MagicMock(return_value={'id': '103_1', 'status': 'canceled'})
+    canceled_stoploss_order = MagicMock(return_value={'status': 'canceled'})
     mocker.patch(f'{EXMS}.fetch_stoploss_order', canceled_stoploss_order)
     stoploss.reset_mock()
-    amount_before = trade.amount
-
-    stop_order_dict.update({'id': "103_1"})
 
     assert freqtrade.handle_stoploss_on_exchange(trade) is False
     assert stoploss.call_count == 1
-    assert trade.stoploss_order_id == "103_1"
-    assert trade.amount == amount_before
+    assert trade.stoploss_order_id == "13434334"
 
     # Fourth case: when stoploss is set and it is hit
     # should unset stoploss_order_id and return true
     # as a trade actually happened
     caplog.clear()
     freqtrade.enter_positions()
-    stop_order_dict.update({'id': "104"})
-
     trade = Trade.session.scalars(select(Trade)).first()
     trade.is_short = is_short
     trade.is_open = True
     trade.open_order_id = None
-    trade.stoploss_order_id = "104"
+    trade.stoploss_order_id = "100"
     trade.orders.append(Order(
         ft_order_side='stoploss',
-        order_id='104',
+        order_id='100',
         ft_pair=trade.pair,
         ft_is_open=True,
         ft_amount=trade.amount,
@@ -1207,7 +1175,7 @@ def test_handle_stoploss_on_exchange(mocker, default_conf_usdt, fee, caplog, is_
     assert trade
 
     stoploss_order_hit = MagicMock(return_value={
-        'id': "104",
+        'id': "100",
         'status': 'closed',
         'type': 'stop_loss_limit',
         'price': 3,
@@ -1229,8 +1197,7 @@ def test_handle_stoploss_on_exchange(mocker, default_conf_usdt, fee, caplog, is_
 
     # Fifth case: fetch_order returns InvalidOrder
     # It should try to add stoploss order
-    stop_order_dict.update({'id': "105"})
-    trade.stoploss_order_id = "105"
+    trade.stoploss_order_id = 100
     stoploss.reset_mock()
     mocker.patch(f'{EXMS}.fetch_stoploss_order', side_effect=InvalidOrderException())
     mocker.patch(f'{EXMS}.create_stoploss', stoploss)
@@ -1250,36 +1217,21 @@ def test_handle_stoploss_on_exchange(mocker, default_conf_usdt, fee, caplog, is_
     # Seventh case: emergency exit triggered
     # Trailing stop should not act anymore
     stoploss_order_cancelled = MagicMock(side_effect=[{
-        'id': "107",
+        'id': "100",
         'status': 'canceled',
         'type': 'stop_loss_limit',
         'price': 3,
         'average': 2,
         'amount': enter_order['amount'],
-        'filled': 0,
-        'remaining': enter_order['amount'],
         'info': {'stopPrice': 22},
     }])
-    trade.stoploss_order_id = "107"
+    trade.stoploss_order_id = 100
     trade.is_open = True
     trade.stoploss_last_update = arrow.utcnow().shift(hours=-1).datetime
     trade.stop_loss = 24
-    trade.exit_reason = None
-    trade.orders.append(
-        Order(
-            ft_order_side='stoploss',
-            ft_pair=trade.pair,
-            ft_is_open=True,
-            ft_amount=trade.amount,
-            ft_price=trade.stop_loss,
-            order_id='107',
-            status='open',
-        )
-    )
     freqtrade.config['trailing_stop'] = True
     stoploss = MagicMock(side_effect=InvalidOrderException())
 
-    Trade.commit()
     mocker.patch(f'{EXMS}.cancel_stoploss_order_with_result',
                  side_effect=InvalidOrderException())
     mocker.patch(f'{EXMS}.fetch_stoploss_order', stoploss_order_cancelled)
@@ -1290,137 +1242,6 @@ def test_handle_stoploss_on_exchange(mocker, default_conf_usdt, fee, caplog, is_
     assert trade.exit_reason == str(ExitType.EMERGENCY_EXIT)
 
 
-@pytest.mark.parametrize("is_short", [False, True])
-def test_handle_stoploss_on_exchange_partial(
-        mocker, default_conf_usdt, fee, is_short, limit_order) -> None:
-    stop_order_dict = {'id': "101", "status": "open"}
-    stoploss = MagicMock(return_value=stop_order_dict)
-    enter_order = limit_order[entry_side(is_short)]
-    exit_order = limit_order[exit_side(is_short)]
-    patch_RPCManager(mocker)
-    patch_exchange(mocker)
-    mocker.patch.multiple(
-        EXMS,
-        fetch_ticker=MagicMock(return_value={
-            'bid': 1.9,
-            'ask': 2.2,
-            'last': 1.9
-        }),
-        create_order=MagicMock(side_effect=[
-            enter_order,
-            exit_order,
-        ]),
-        get_fee=fee,
-        create_stoploss=stoploss
-    )
-    freqtrade = FreqtradeBot(default_conf_usdt)
-    patch_get_signal(freqtrade, enter_short=is_short, enter_long=not is_short)
-
-    freqtrade.enter_positions()
-    trade = Trade.session.scalars(select(Trade)).first()
-    trade.is_short = is_short
-    trade.is_open = True
-    trade.open_order_id = None
-    trade.stoploss_order_id = None
-
-    assert freqtrade.handle_stoploss_on_exchange(trade) is False
-    assert stoploss.call_count == 1
-    assert trade.stoploss_order_id == "101"
-    assert trade.amount == 30
-    stop_order_dict.update({'id': "102"})
-    # Stoploss on exchange is cancelled on exchange, but filled partially.
-    # Must update trade amount to guarantee successful exit.
-    stoploss_order_hit = MagicMock(return_value={
-        'id': "101",
-        'status': 'canceled',
-        'type': 'stop_loss_limit',
-        'price': 3,
-        'average': 2,
-        'filled': trade.amount / 2,
-        'remaining': trade.amount / 2,
-        'amount': enter_order['amount'],
-    })
-    mocker.patch(f'{EXMS}.fetch_stoploss_order', stoploss_order_hit)
-    assert freqtrade.handle_stoploss_on_exchange(trade) is False
-    # Stoploss filled partially ...
-    assert trade.amount == 15
-
-    assert trade.stoploss_order_id == "102"
-
-
-@pytest.mark.parametrize("is_short", [False, True])
-def test_handle_stoploss_on_exchange_partial_cancel_here(
-        mocker, default_conf_usdt, fee, is_short, limit_order, caplog) -> None:
-    stop_order_dict = {'id': "101", "status": "open"}
-    default_conf_usdt['trailing_stop'] = True
-    stoploss = MagicMock(return_value=stop_order_dict)
-    enter_order = limit_order[entry_side(is_short)]
-    exit_order = limit_order[exit_side(is_short)]
-    patch_RPCManager(mocker)
-    patch_exchange(mocker)
-    mocker.patch.multiple(
-        EXMS,
-        fetch_ticker=MagicMock(return_value={
-            'bid': 1.9,
-            'ask': 2.2,
-            'last': 1.9
-        }),
-        create_order=MagicMock(side_effect=[
-            enter_order,
-            exit_order,
-        ]),
-        get_fee=fee,
-        create_stoploss=stoploss
-    )
-    freqtrade = FreqtradeBot(default_conf_usdt)
-    patch_get_signal(freqtrade, enter_short=is_short, enter_long=not is_short)
-
-    freqtrade.enter_positions()
-    trade = Trade.session.scalars(select(Trade)).first()
-    trade.is_short = is_short
-    trade.is_open = True
-    trade.open_order_id = None
-    trade.stoploss_order_id = None
-
-    assert freqtrade.handle_stoploss_on_exchange(trade) is False
-    assert stoploss.call_count == 1
-    assert trade.stoploss_order_id == "101"
-    assert trade.amount == 30
-    stop_order_dict.update({'id': "102"})
-    # Stoploss on exchange is open.
-    # Freqtrade cancels the stop - but cancel returns a partial filled order.
-    stoploss_order_hit = MagicMock(return_value={
-        'id': "101",
-        'status': 'open',
-        'type': 'stop_loss_limit',
-        'price': 3,
-        'average': 2,
-        'filled': 0,
-        'remaining': trade.amount,
-        'amount': enter_order['amount'],
-    })
-    stoploss_order_cancel = MagicMock(return_value={
-        'id': "101",
-        'status': 'canceled',
-        'type': 'stop_loss_limit',
-        'price': 3,
-        'average': 2,
-        'filled': trade.amount / 2,
-        'remaining': trade.amount / 2,
-        'amount': enter_order['amount'],
-    })
-    mocker.patch(f'{EXMS}.fetch_stoploss_order', stoploss_order_hit)
-    mocker.patch(f'{EXMS}.cancel_stoploss_order_with_result', stoploss_order_cancel)
-    trade.stoploss_last_update = arrow.utcnow().shift(minutes=-10).datetime
-
-    assert freqtrade.handle_stoploss_on_exchange(trade) is False
-    # Canceled Stoploss filled partially ...
-    assert log_has_re('Cancelling current stoploss on exchange.*', caplog)
-
-    assert trade.stoploss_order_id == "102"
-    assert trade.amount == 15
-
-
 @pytest.mark.parametrize("is_short", [False, True])
 def test_handle_sle_cancel_cant_recreate(mocker, default_conf_usdt, fee, caplog, is_short,
                                          limit_order) -> None:
@@ -1452,21 +1273,10 @@ def test_handle_sle_cancel_cant_recreate(mocker, default_conf_usdt, fee, caplog,
 
     freqtrade.enter_positions()
     trade = Trade.session.scalars(select(Trade)).first()
-    assert trade.is_short == is_short
+    trade.is_short = is_short
     trade.is_open = True
     trade.open_order_id = None
-    trade.stoploss_order_id = "100"
-    trade.orders.append(
-        Order(
-            ft_order_side='stoploss',
-            ft_pair=trade.pair,
-            ft_is_open=True,
-            ft_amount=trade.amount,
-            ft_price=trade.stop_loss,
-            order_id='100',
-            status='open',
-        )
-    )
+    trade.stoploss_order_id = 100
     assert trade
 
     assert freqtrade.handle_stoploss_on_exchange(trade) is False
@@ -1585,7 +1395,7 @@ def test_handle_stoploss_on_exchange_trailing(
     # When trailing stoploss is set
     enter_order = limit_order[entry_side(is_short)]
     exit_order = limit_order[exit_side(is_short)]
-    stoploss = MagicMock(return_value={'id': 13434334, 'status': 'open'})
+    stoploss = MagicMock(return_value={'id': 13434334})
     patch_RPCManager(mocker)
     mocker.patch.multiple(
         EXMS,
@@ -1630,21 +1440,11 @@ def test_handle_stoploss_on_exchange_trailing(
     trade.is_short = is_short
     trade.is_open = True
     trade.open_order_id = None
-    trade.stoploss_order_id = '100'
+    trade.stoploss_order_id = 100
     trade.stoploss_last_update = arrow.utcnow().shift(minutes=-20).datetime
-    trade.orders.append(
-        Order(
-            ft_order_side='stoploss',
-            ft_pair=trade.pair,
-            ft_is_open=True,
-            ft_amount=trade.amount,
-            ft_price=trade.stop_loss,
-            order_id='100',
-        )
-    )
 
     stoploss_order_hanging = MagicMock(return_value={
-        'id': '100',
+        'id': 100,
         'status': 'open',
         'type': 'stop_loss_limit',
         'price': hang_price,
@@ -1671,7 +1471,7 @@ def test_handle_stoploss_on_exchange_trailing(
     )
 
     cancel_order_mock = MagicMock()
-    stoploss_order_mock = MagicMock(return_value={'id': 'so1', 'status': 'open'})
+    stoploss_order_mock = MagicMock(return_value={'id': 'so1'})
     mocker.patch(f'{EXMS}.cancel_stoploss_order', cancel_order_mock)
     mocker.patch(f'{EXMS}.create_stoploss', stoploss_order_mock)
 
@@ -1683,14 +1483,13 @@ def test_handle_stoploss_on_exchange_trailing(
 
     assert freqtrade.handle_trade(trade) is False
     assert trade.stop_loss == stop_price[1]
-    trade.stoploss_order_id = '100'
 
     # setting stoploss_on_exchange_interval to 0 seconds
     freqtrade.strategy.order_types['stoploss_on_exchange_interval'] = 0
 
     assert freqtrade.handle_stoploss_on_exchange(trade) is False
 
-    cancel_order_mock.assert_called_once_with('100', 'ETH/USDT')
+    cancel_order_mock.assert_called_once_with(100, 'ETH/USDT')
     stoploss_order_mock.assert_called_once_with(
         amount=pytest.approx(amt),
         pair='ETH/USDT',
@@ -1720,7 +1519,7 @@ def test_handle_stoploss_on_exchange_trailing_error(
     enter_order = limit_order[entry_side(is_short)]
     exit_order = limit_order[exit_side(is_short)]
     # When trailing stoploss is set
-    stoploss = MagicMock(return_value={'id': '13434334', 'status': 'open'})
+    stoploss = MagicMock(return_value={'id': 13434334})
     patch_exchange(mocker)
 
     mocker.patch.multiple(
@@ -1802,7 +1601,7 @@ def test_stoploss_on_exchange_price_rounding(
         EXMS,
         get_fee=fee,
     )
-    price_mock = MagicMock(side_effect=lambda p, s, **kwargs: int(s))
+    price_mock = MagicMock(side_effect=lambda p, s: int(s))
     stoploss_mock = MagicMock(return_value={'id': '13434334'})
     adjust_mock = MagicMock(return_value=False)
     mocker.patch.multiple(
@@ -1829,7 +1628,7 @@ def test_handle_stoploss_on_exchange_custom_stop(
     enter_order = limit_order[entry_side(is_short)]
     exit_order = limit_order[exit_side(is_short)]
     # When trailing stoploss is set
-    stoploss = MagicMock(return_value={'id': 13434334, 'status': 'open'})
+    stoploss = MagicMock(return_value={'id': 13434334})
     patch_RPCManager(mocker)
     mocker.patch.multiple(
         EXMS,
@@ -1874,21 +1673,11 @@ def test_handle_stoploss_on_exchange_custom_stop(
     trade.is_short = is_short
     trade.is_open = True
     trade.open_order_id = None
-    trade.stoploss_order_id = '100'
+    trade.stoploss_order_id = 100
     trade.stoploss_last_update = arrow.utcnow().shift(minutes=-601).datetime
-    trade.orders.append(
-        Order(
-            ft_order_side='stoploss',
-            ft_pair=trade.pair,
-            ft_is_open=True,
-            ft_amount=trade.amount,
-            ft_price=trade.stop_loss,
-            order_id='100',
-        )
-    )
 
     stoploss_order_hanging = MagicMock(return_value={
-        'id': '100',
+        'id': 100,
         'status': 'open',
         'type': 'stop_loss_limit',
         'price': 3,
@@ -1914,10 +1703,9 @@ def test_handle_stoploss_on_exchange_custom_stop(
     )
 
     cancel_order_mock = MagicMock()
-    stoploss_order_mock = MagicMock(return_value={'id': 'so1', 'status': 'open'})
+    stoploss_order_mock = MagicMock(return_value={'id': 'so1'})
     mocker.patch(f'{EXMS}.cancel_stoploss_order', cancel_order_mock)
     mocker.patch(f'{EXMS}.create_stoploss', stoploss_order_mock)
-    trade.stoploss_order_id = '100'
 
     # stoploss should not be updated as the interval is 60 seconds
     assert freqtrade.handle_trade(trade) is False
@@ -1934,7 +1722,7 @@ def test_handle_stoploss_on_exchange_custom_stop(
 
     assert freqtrade.handle_stoploss_on_exchange(trade) is False
 
-    cancel_order_mock.assert_called_once_with('100', 'ETH/USDT')
+    cancel_order_mock.assert_called_once_with(100, 'ETH/USDT')
     # Long uses modified ask - offset, short modified bid + offset
     stoploss_order_mock.assert_called_once_with(
         amount=pytest.approx(trade.amount),
@@ -1963,7 +1751,7 @@ def test_tsl_on_exchange_compatible_with_edge(mocker, edge_conf, fee, limit_orde
     exit_order = limit_order['sell']
 
     # When trailing stoploss is set
-    stoploss = MagicMock(return_value={'id': '13434334', 'status': 'open'})
+    stoploss = MagicMock(return_value={'id': 13434334})
     patch_RPCManager(mocker)
     patch_exchange(mocker)
     patch_edge(mocker)
@@ -2012,21 +1800,11 @@ def test_tsl_on_exchange_compatible_with_edge(mocker, edge_conf, fee, limit_orde
     trade = Trade.session.scalars(select(Trade)).first()
     trade.is_open = True
     trade.open_order_id = None
-    trade.stoploss_order_id = '100'
-    trade.stoploss_last_update = arrow.utcnow().datetime
-    trade.orders.append(
-        Order(
-            ft_order_side='stoploss',
-            ft_pair=trade.pair,
-            ft_is_open=True,
-            ft_amount=trade.amount,
-            ft_price=trade.stop_loss,
-            order_id='100',
-        )
-    )
+    trade.stoploss_order_id = 100
+    trade.stoploss_last_update = arrow.utcnow()
 
     stoploss_order_hanging = MagicMock(return_value={
-        'id': '100',
+        'id': 100,
         'status': 'open',
         'type': 'stop_loss_limit',
         'price': 3,
@@ -2073,7 +1851,7 @@ def test_tsl_on_exchange_compatible_with_edge(mocker, edge_conf, fee, limit_orde
 
     # stoploss should be set to 1% as trailing is on
     assert trade.stop_loss == 4.4 * 0.99
-    cancel_order_mock.assert_called_once_with('100', 'NEO/BTC')
+    cancel_order_mock.assert_called_once_with(100, 'NEO/BTC')
     stoploss_order_mock.assert_called_once_with(
         amount=pytest.approx(11.41438356),
         pair='NEO/BTC',
@@ -2955,9 +2733,6 @@ def test_manage_open_orders_exit_usercustom(
     assert rpc_mock.call_count == 2
     assert freqtrade.strategy.check_exit_timeout.call_count == 1
     assert freqtrade.strategy.check_entry_timeout.call_count == 0
-    trade = Trade.session.scalars(select(Trade)).first()
-    # cancelling didn't succeed - order-id remains open.
-    assert trade.open_order_id is not None
 
     # 2nd canceled trade - Fail execute exit
     caplog.clear()
@@ -3468,7 +3243,6 @@ def test_handle_cancel_exit_cancel_exception(mocker, default_conf_usdt) -> None:
 
     # TODO: should not be magicmock
     trade = MagicMock()
-    trade.open_order_id = '125'
     reason = CANCEL_REASON['TIMEOUT']
     order = {'remaining': 1,
              'id': '125',
@@ -3476,10 +3250,6 @@ def test_handle_cancel_exit_cancel_exception(mocker, default_conf_usdt) -> None:
              'status': "open"}
     assert not freqtrade.handle_cancel_exit(trade, order, reason)
 
-    # mocker.patch(f'{EXMS}.cancel_order_with_result', return_value=order)
-    # assert not freqtrade.handle_cancel_exit(trade, order, reason)
-    # assert trade.open_order_id == '125'
-
 
 @pytest.mark.parametrize("is_short, open_rate, amt", [
     (False, 2.0, 30.0),
@@ -3556,7 +3326,6 @@ def test_execute_trade_exit_up(default_conf_usdt, ticker_usdt, fee, ticker_usdt_
         'profit_ratio': 0.00493809 if is_short else 0.09451372,
         'stake_currency': 'USDT',
         'fiat_currency': 'USD',
-        'base_currency': 'ETH',
         'sell_reason': ExitType.ROI.value,
         'exit_reason': ExitType.ROI.value,
         'open_date': ANY,
@@ -3620,7 +3389,6 @@ def test_execute_trade_exit_down(default_conf_usdt, ticker_usdt, fee, ticker_usd
         'profit_amount': -5.65990099 if is_short else -0.00075,
         'profit_ratio': -0.0945681 if is_short else -1.247e-05,
         'stake_currency': 'USDT',
-        'base_currency': 'ETH',
         'fiat_currency': 'USD',
         'sell_reason': ExitType.STOP_LOSS.value,
         'exit_reason': ExitType.STOP_LOSS.value,
@@ -3706,7 +3474,6 @@ def test_execute_trade_exit_custom_exit_price(
         'profit_amount': pytest.approx(profit_amount),
         'profit_ratio': profit_ratio,
         'stake_currency': 'USDT',
-        'base_currency': 'ETH',
         'fiat_currency': 'USD',
         'sell_reason': 'foo',
         'exit_reason': 'foo',
@@ -3780,7 +3547,6 @@ def test_execute_trade_exit_down_stoploss_on_exchange_dry_run(
         'profit_ratio': -0.00501253 if is_short else -0.01493766,
         'stake_currency': 'USDT',
         'fiat_currency': 'USD',
-        'base_currency': 'ETH',
         'sell_reason': ExitType.STOP_LOSS.value,
         'exit_reason': ExitType.STOP_LOSS.value,
         'open_date': ANY,
@@ -3822,7 +3588,7 @@ def test_execute_trade_exit_sloe_cancel_exception(
     freqtrade.execute_trade_exit(trade=trade, limit=1234,
                                  exit_check=ExitCheckTuple(exit_type=ExitType.STOP_LOSS))
     assert create_order_mock.call_count == 2
-    assert log_has('Could not cancel stoploss order abcd for pair ETH/USDT', caplog)
+    assert log_has('Could not cancel stoploss order abcd', caplog)
 
 
 @pytest.mark.parametrize("is_short", [False, True])
@@ -3834,12 +3600,10 @@ def test_execute_trade_exit_with_stoploss_on_exchange(
     patch_exchange(mocker)
     stoploss = MagicMock(return_value={
         'id': 123,
-        'status': 'open',
         'info': {
             'foo': 'bar'
         }
     })
-    mocker.patch('freqtrade.freqtradebot.FreqtradeBot.handle_order_fee')
 
     cancel_order = MagicMock(return_value=True)
     mocker.patch.multiple(
@@ -3937,12 +3701,12 @@ def test_may_execute_trade_exit_after_stoploss_on_exchange_hit(
         "lastTradeTimestamp": None,
         "symbol": "BTC/USDT",
         "type": "stop_loss_limit",
-        "side": "buy" if is_short else "sell",
+        "side": "sell",
         "price": 1.08801,
-        "amount": trade.amount,
-        "cost": 1.08801 * trade.amount,
+        "amount": 90.99181074,
+        "cost": 99.0000000032274,
         "average": 1.08801,
-        "filled": trade.amount,
+        "filled": 90.99181074,
         "remaining": 0.0,
         "status": "closed",
         "fee": None,
@@ -4047,7 +3811,6 @@ def test_execute_trade_exit_market_order(
         'profit_amount': pytest.approx(profit_amount),
         'profit_ratio': profit_ratio,
         'stake_currency': 'USDT',
-        'base_currency': 'ETH',
         'fiat_currency': 'USD',
         'sell_reason': ExitType.ROI.value,
         'exit_reason': ExitType.ROI.value,

tests/test_integration.py

@@ -35,7 +35,7 @@ def test_may_execute_exit_stoploss_on_exchange_multi(default_conf, ticker, fee,
         "type": "stop_loss_limit",
         "side": "sell",
         "price": 1.08801,
-        "amount": 91.07468123,
+        "amount": 90.99181074,
         "cost": 0.0,
         "average": 0.0,
         "filled": 0.0,
@@ -49,9 +49,8 @@ def test_may_execute_exit_stoploss_on_exchange_multi(default_conf, ticker, fee,
     stoploss_order_closed['filled'] = stoploss_order_closed['amount']
 
     # Sell first trade based on stoploss, keep 2nd and 3rd trade open
-    stop_orders = [stoploss_order_closed, stoploss_order_open, stoploss_order_open]
     stoploss_order_mock = MagicMock(
-        side_effect=stop_orders)
+        side_effect=[stoploss_order_closed, stoploss_order_open, stoploss_order_open])
     # Sell 3rd trade (not called for the first trade)
     should_sell_mock = MagicMock(side_effect=[
         [],
@@ -94,14 +93,13 @@ def test_may_execute_exit_stoploss_on_exchange_multi(default_conf, ticker, fee,
     wallets_mock.reset_mock()
 
     trades = Trade.session.scalars(select(Trade)).all()
-    # Make sure stoploss-order is open and trade is bought
-    for idx, trade in enumerate(trades):
-        stop_order = stop_orders[idx]
-        stop_order['id'] = f"stop{idx}"
-        oobj = Order.parse_from_ccxt_object(stop_order, trade.pair, 'stoploss')
+    # Make sure stoploss-order is open and trade is bought (since we mock update_trade_state)
+    for trade in trades:
+        stoploss_order_closed['id'] = '3'
+        oobj = Order.parse_from_ccxt_object(stoploss_order_closed, trade.pair, 'stoploss')
 
         trade.orders.append(oobj)
-        trade.stoploss_order_id = f"stop{idx}"
+        trade.stoploss_order_id = '3'
         trade.open_order_id = None
 
     n = freqtrade.exit_positions(trades)