Merge branch 'develop' into data_handler
This commit is contained in:
Matthias
commit
d65a06947d
4
.github/workflows/ci.yml
vendored
4
.github/workflows/ci.yml
vendored
@ -18,7 +18,7 @@ jobs:
|
||||
strategy:
|
||||
matrix:
|
||||
os: [ ubuntu-18.04, macos-latest ]
|
||||
python-version: [3.7]
|
||||
python-version: [3.7, 3.8]
|
||||
|
||||
steps:
|
||||
- uses: actions/checkout@v1
|
||||
@ -68,7 +68,7 @@ jobs:
|
||||
pytest --random-order --cov=freqtrade --cov-config=.coveragerc
|
||||
|
||||
- name: Coveralls
|
||||
if: startsWith(matrix.os, 'ubuntu')
|
||||
if: (startsWith(matrix.os, 'ubuntu') && matrix.python-version == '3.8')
|
||||
env:
|
||||
# Coveralls token. Not used as secret due to github not providing secrets to forked repositories
|
||||
COVERALLS_REPO_TOKEN: 6D1m0xupS3FgutfuGao8keFf9Hc0FpIXu
|
||||
|
||||
@ -1,4 +1,4 @@
|
||||
FROM python:3.7.6-slim-stretch
|
||||
FROM python:3.8.1-slim-buster
|
||||
|
||||
RUN apt-get update \
|
||||
&& apt-get -y install curl build-essential libssl-dev \
|
||||
|
||||
@ -44,7 +44,7 @@
|
||||
"DASH/BTC",
|
||||
"ZEC/BTC",
|
||||
"XLM/BTC",
|
||||
"NXT/BTC",
|
||||
"XRP/BTC",
|
||||
"TRX/BTC",
|
||||
"ADA/BTC",
|
||||
"XMR/BTC"
|
||||
|
||||
@ -62,8 +62,8 @@
|
||||
"refresh_period": 1800
|
||||
},
|
||||
{"method": "PrecisionFilter"},
|
||||
{"method": "PriceFilter", "low_price_ratio": 0.01
|
||||
}
|
||||
{"method": "PriceFilter", "low_price_ratio": 0.01},
|
||||
{"method": "SpreadFilter", "max_spread_ratio": 0.005}
|
||||
],
|
||||
"exchange": {
|
||||
"name": "bittrex",
|
||||
|
||||
@ -4,6 +4,34 @@ This page explains some advanced Hyperopt topics that may require higher
|
||||
coding skills and Python knowledge than creation of an ordinal hyperoptimization
|
||||
class.
|
||||
|
||||
## Derived hyperopt classes
|
||||
|
||||
Custom hyperop classes can be derived in the same way [it can be done for strategies](strategy-customization.md#derived-strategies).
|
||||
|
||||
Applying to hyperoptimization, as an example, you may override how dimensions are defined in your optimization hyperspace:
|
||||
|
||||
```python
|
||||
class MyAwesomeHyperOpt(IHyperOpt):
|
||||
...
|
||||
# Uses default stoploss dimension
|
||||
|
||||
class MyAwesomeHyperOpt2(MyAwesomeHyperOpt):
|
||||
@staticmethod
|
||||
def stoploss_space() -> List[Dimension]:
|
||||
# Override boundaries for stoploss
|
||||
return [
|
||||
Real(-0.33, -0.01, name='stoploss'),
|
||||
]
|
||||
```
|
||||
|
||||
and then quickly switch between hyperopt classes, running optimization process with hyperopt class you need in each particular case:
|
||||
|
||||
```
|
||||
$ freqtrade hyperopt --hyperopt MyAwesomeHyperOpt ...
|
||||
or
|
||||
$ freqtrade hyperopt --hyperopt MyAwesomeHyperOpt2 ...
|
||||
```
|
||||
|
||||
## Creating and using a custom loss function
|
||||
|
||||
To use a custom loss function class, make sure that the function `hyperopt_loss_function` is defined in your custom hyperopt loss class.
|
||||
|
||||
@ -119,40 +119,40 @@ A backtesting result will look like that:
|
||||
|
||||
```
|
||||
========================================================= BACKTESTING REPORT ========================================================
|
||||
| pair | buy count | avg profit % | cum profit % | tot profit BTC | tot profit % | avg duration | profit | loss |
|
||||
|:---------|------------:|---------------:|---------------:|-----------------:|---------------:|:---------------|---------:|-------:|
|
||||
| ADA/BTC | 35 | -0.11 | -3.88 | -0.00019428 | -1.94 | 4:35:00 | 14 | 21 |
|
||||
| ARK/BTC | 11 | -0.41 | -4.52 | -0.00022647 | -2.26 | 2:03:00 | 3 | 8 |
|
||||
| BTS/BTC | 32 | 0.31 | 9.78 | 0.00048938 | 4.89 | 5:05:00 | 18 | 14 |
|
||||
| DASH/BTC | 13 | -0.08 | -1.07 | -0.00005343 | -0.53 | 4:39:00 | 6 | 7 |
|
||||
| ENG/BTC | 18 | 1.36 | 24.54 | 0.00122807 | 12.27 | 2:50:00 | 8 | 10 |
|
||||
| EOS/BTC | 36 | 0.08 | 3.06 | 0.00015304 | 1.53 | 3:34:00 | 16 | 20 |
|
||||
| ETC/BTC | 26 | 0.37 | 9.51 | 0.00047576 | 4.75 | 6:14:00 | 11 | 15 |
|
||||
| ETH/BTC | 33 | 0.30 | 9.96 | 0.00049856 | 4.98 | 7:31:00 | 16 | 17 |
|
||||
| IOTA/BTC | 32 | 0.03 | 1.09 | 0.00005444 | 0.54 | 3:12:00 | 14 | 18 |
|
||||
| LSK/BTC | 15 | 1.75 | 26.26 | 0.00131413 | 13.13 | 2:58:00 | 6 | 9 |
|
||||
| LTC/BTC | 32 | -0.04 | -1.38 | -0.00006886 | -0.69 | 4:49:00 | 11 | 21 |
|
||||
| NANO/BTC | 17 | 1.26 | 21.39 | 0.00107058 | 10.70 | 1:55:00 | 10 | 7 |
|
||||
| NEO/BTC | 23 | 0.82 | 18.97 | 0.00094936 | 9.48 | 2:59:00 | 10 | 13 |
|
||||
| REQ/BTC | 9 | 1.17 | 10.54 | 0.00052734 | 5.27 | 3:47:00 | 4 | 5 |
|
||||
| XLM/BTC | 16 | 1.22 | 19.54 | 0.00097800 | 9.77 | 3:15:00 | 7 | 9 |
|
||||
| XMR/BTC | 23 | -0.18 | -4.13 | -0.00020696 | -2.07 | 5:30:00 | 12 | 11 |
|
||||
| XRP/BTC | 35 | 0.66 | 22.96 | 0.00114897 | 11.48 | 3:49:00 | 12 | 23 |
|
||||
| ZEC/BTC | 22 | -0.46 | -10.18 | -0.00050971 | -5.09 | 2:22:00 | 7 | 15 |
|
||||
| TOTAL | 429 | 0.36 | 152.41 | 0.00762792 | 76.20 | 4:12:00 | 186 | 243 |
|
||||
| Pair | Buys | Avg Profit % | Cum Profit % | Tot Profit BTC | Tot Profit % | Avg Duration | Wins | Draws | Losses |
|
||||
|:---------|-------:|---------------:|---------------:|-----------------:|---------------:|:---------------|------:|-------:|--------:|
|
||||
| ADA/BTC | 35 | -0.11 | -3.88 | -0.00019428 | -1.94 | 4:35:00 | 14 | 0 | 21 |
|
||||
| ARK/BTC | 11 | -0.41 | -4.52 | -0.00022647 | -2.26 | 2:03:00 | 3 | 0 | 8 |
|
||||
| BTS/BTC | 32 | 0.31 | 9.78 | 0.00048938 | 4.89 | 5:05:00 | 18 | 0 | 14 |
|
||||
| DASH/BTC | 13 | -0.08 | -1.07 | -0.00005343 | -0.53 | 4:39:00 | 6 | 0 | 7 |
|
||||
| ENG/BTC | 18 | 1.36 | 24.54 | 0.00122807 | 12.27 | 2:50:00 | 8 | 0 | 10 |
|
||||
| EOS/BTC | 36 | 0.08 | 3.06 | 0.00015304 | 1.53 | 3:34:00 | 16 | 0 | 20 |
|
||||
| ETC/BTC | 26 | 0.37 | 9.51 | 0.00047576 | 4.75 | 6:14:00 | 11 | 0 | 15 |
|
||||
| ETH/BTC | 33 | 0.30 | 9.96 | 0.00049856 | 4.98 | 7:31:00 | 16 | 0 | 17 |
|
||||
| IOTA/BTC | 32 | 0.03 | 1.09 | 0.00005444 | 0.54 | 3:12:00 | 14 | 0 | 18 |
|
||||
| LSK/BTC | 15 | 1.75 | 26.26 | 0.00131413 | 13.13 | 2:58:00 | 6 | 0 | 9 |
|
||||
| LTC/BTC | 32 | -0.04 | -1.38 | -0.00006886 | -0.69 | 4:49:00 | 11 | 0 | 21 |
|
||||
| NANO/BTC | 17 | 1.26 | 21.39 | 0.00107058 | 10.70 | 1:55:00 | 10 | 0 | 7 |
|
||||
| NEO/BTC | 23 | 0.82 | 18.97 | 0.00094936 | 9.48 | 2:59:00 | 10 | 0 | 13 |
|
||||
| REQ/BTC | 9 | 1.17 | 10.54 | 0.00052734 | 5.27 | 3:47:00 | 4 | 0 | 5 |
|
||||
| XLM/BTC | 16 | 1.22 | 19.54 | 0.00097800 | 9.77 | 3:15:00 | 7 | 0 | 9 |
|
||||
| XMR/BTC | 23 | -0.18 | -4.13 | -0.00020696 | -2.07 | 5:30:00 | 12 | 0 | 11 |
|
||||
| XRP/BTC | 35 | 0.66 | 22.96 | 0.00114897 | 11.48 | 3:49:00 | 12 | 0 | 23 |
|
||||
| ZEC/BTC | 22 | -0.46 | -10.18 | -0.00050971 | -5.09 | 2:22:00 | 7 | 0 | 15 |
|
||||
| TOTAL | 429 | 0.36 | 152.41 | 0.00762792 | 76.20 | 4:12:00 | 186 | 0 | 243 |
|
||||
========================================================= SELL REASON STATS =========================================================
|
||||
| Sell Reason | Count | Profit | Loss |
|
||||
|:-------------------|--------:|---------:|-------:|
|
||||
| trailing_stop_loss | 205 | 150 | 55 |
|
||||
| stop_loss | 166 | 0 | 166 |
|
||||
| sell_signal | 56 | 36 | 20 |
|
||||
| force_sell | 2 | 0 | 2 |
|
||||
| Sell Reason | Sells | Wins | Draws | Losses |
|
||||
|:-------------------|--------:|------:|-------:|--------:|
|
||||
| trailing_stop_loss | 205 | 150 | 0 | 55 |
|
||||
| stop_loss | 166 | 0 | 0 | 166 |
|
||||
| sell_signal | 56 | 36 | 0 | 20 |
|
||||
| force_sell | 2 | 0 | 0 | 2 |
|
||||
====================================================== LEFT OPEN TRADES REPORT ======================================================
|
||||
| pair | buy count | avg profit % | cum profit % | tot profit BTC | tot profit % | avg duration | profit | loss |
|
||||
|:---------|------------:|---------------:|---------------:|-----------------:|---------------:|:---------------|---------:|-------:|
|
||||
| ADA/BTC | 1 | 0.89 | 0.89 | 0.00004434 | 0.44 | 6:00:00 | 1 | 0 |
|
||||
| LTC/BTC | 1 | 0.68 | 0.68 | 0.00003421 | 0.34 | 2:00:00 | 1 | 0 |
|
||||
| TOTAL | 2 | 0.78 | 1.57 | 0.00007855 | 0.78 | 4:00:00 | 2 | 0 |
|
||||
| Pair | Buys | Avg Profit % | Cum Profit % | Tot Profit BTC | Tot Profit % | Avg Duration | Wins | Draws | Losses |
|
||||
|:---------|-------:|---------------:|---------------:|-----------------:|---------------:|:---------------|------:|-------:|--------:|
|
||||
| ADA/BTC | 1 | 0.89 | 0.89 | 0.00004434 | 0.44 | 6:00:00 | 1 | 0 | 0 |
|
||||
| LTC/BTC | 1 | 0.68 | 0.68 | 0.00003421 | 0.34 | 2:00:00 | 1 | 0 | 0 |
|
||||
| TOTAL | 2 | 0.78 | 1.57 | 0.00007855 | 0.78 | 4:00:00 | 2 | 0 | 0 |
|
||||
```
|
||||
|
||||
The 1st table contains all trades the bot made, including "left open trades".
|
||||
@ -237,11 +237,11 @@ There will be an additional table comparing win/losses of the different strategi
|
||||
Detailed output for all strategies one after the other will be available, so make sure to scroll up to see the details per strategy.
|
||||
|
||||
```
|
||||
=========================================================== Strategy Summary ===========================================================
|
||||
| Strategy | buy count | avg profit % | cum profit % | tot profit BTC | tot profit % | avg duration | profit | loss |
|
||||
|:------------|------------:|---------------:|---------------:|-----------------:|---------------:|:---------------|---------:|-------:|
|
||||
| Strategy1 | 429 | 0.36 | 152.41 | 0.00762792 | 76.20 | 4:12:00 | 186 | 243 |
|
||||
| Strategy2 | 1487 | -0.13 | -197.58 | -0.00988917 | -98.79 | 4:43:00 | 662 | 825 |
|
||||
=========================================================== STRATEGY SUMMARY ===========================================================
|
||||
| Strategy | Buys | Avg Profit % | Cum Profit % | Tot Profit BTC | Tot Profit % | Avg Duration | Wins | Draws | Losses |
|
||||
|:------------|-------:|---------------:|---------------:|-----------------:|---------------:|:---------------|------:|-------:|-------:|
|
||||
| Strategy1 | 429 | 0.36 | 152.41 | 0.00762792 | 76.20 | 4:12:00 | 186 | 0 | 243 |
|
||||
| Strategy2 | 1487 | -0.13 | -197.58 | -0.00988917 | -98.79 | 4:43:00 | 662 | 0 | 825 |
|
||||
```
|
||||
|
||||
## Next step
|
||||
|
||||
@ -337,8 +337,8 @@ optional arguments:
|
||||
generate completely different results, since the
|
||||
target for optimization is different. Built-in
|
||||
Hyperopt-loss-functions are: DefaultHyperOptLoss,
|
||||
OnlyProfitHyperOptLoss, SharpeHyperOptLoss (default:
|
||||
`DefaultHyperOptLoss`).
|
||||
OnlyProfitHyperOptLoss, SharpeHyperOptLoss,
|
||||
SharpeHyperOptLossDaily (default: `DefaultHyperOptLoss`).
|
||||
|
||||
Common arguments:
|
||||
-v, --verbose Verbose mode (-vv for more, -vvv to get all messages).
|
||||
|
||||
@ -280,7 +280,7 @@ If this is configured, the following 4 values (`buy`, `sell`, `stoploss` and
|
||||
The below is the default which is used if this is not configured in either strategy or configuration file.
|
||||
|
||||
Since `stoploss_on_exchange` uses limit orders, the exchange needs 2 prices, the stoploss_price and the Limit price.
|
||||
`stoploss` defines the stop-price - and limit should be slightly below this. This defaults to 0.99 / 1%.
|
||||
`stoploss` defines the stop-price - and limit should be slightly below this. This defaults to 0.99 / 1% (configurable via `stoploss_on_exchange_limit_ratio`).
|
||||
Calculation example: we bought the asset at 100$.
|
||||
Stop-price is 95$, then limit would be `95 * 0.99 = 94.05$` - so the stoploss will happen between 95$ and 94.05$.
|
||||
|
||||
@ -505,6 +505,7 @@ Inactive markets and blacklisted pairs are always removed from the resulting `pa
|
||||
* [`VolumePairList`](#volume-pair-list)
|
||||
* [`PrecisionFilter`](#precision-filter)
|
||||
* [`PriceFilter`](#price-pair-filter)
|
||||
* [`SpreadFilter`](#spread-filter)
|
||||
|
||||
!!! Tip "Testing pairlists"
|
||||
Pairlist configurations can be quite tricky to get right. Best use the [`test-pairlist`](utils.md#test-pairlist) subcommand to test your configuration quickly.
|
||||
@ -553,6 +554,11 @@ Min price precision is 8 decimals. If price is 0.00000011 - one step would be 0.
|
||||
|
||||
These pairs are dangerous since it may be impossible to place the desired stoploss - and often result in high losses.
|
||||
|
||||
#### Spread Filter
|
||||
Removes pairs that have a difference between asks and bids above the specified ratio (default `0.005`).
|
||||
Example:
|
||||
If `DOGE/BTC` maximum bid is 0.00000026 and minimum ask is 0.00000027 the ratio is calculated as: `1 - bid/ask ~= 0.037` which is `> 0.005`
|
||||
|
||||
### Full Pairlist example
|
||||
|
||||
The below example blacklists `BNB/BTC`, uses `VolumePairList` with `20` assets, sorting by `quoteVolume` and applies both [`PrecisionFilter`](#precision-filter) and [`PriceFilter`](#price-pair-filter), filtering all assets where 1 priceunit is > 1%.
|
||||
@ -604,6 +610,14 @@ Once you will be happy with your bot performance running in the Dry-run mode, yo
|
||||
!!! Note
|
||||
A simulated wallet is available during dry-run mode, and will assume a starting capital of `dry_run_wallet` (defaults to 1000).
|
||||
|
||||
### Considerations for dry-run
|
||||
|
||||
* API-keys may or may not be provided. Only Read-Only operations (i.e. operations that do not alter account state) on the exchange are performed in the dry-run mode.
|
||||
* Wallets (`/balance`) are simulated.
|
||||
* Orders are simulated, and will not be posted to the exchange.
|
||||
* In combination with `stoploss_on_exchange`, the stop_loss price is assumed to be filled.
|
||||
* Open orders (not trades, which are stored in the database) are reset on bot restart.
|
||||
|
||||
## Switch to production mode
|
||||
|
||||
In production mode, the bot will engage your money. Be careful, since a wrong
|
||||
|
||||
@ -5,7 +5,7 @@ This page combines common gotchas and informations which are exchange-specific a
|
||||
## Binance
|
||||
|
||||
!!! Tip "Stoploss on Exchange"
|
||||
Binance is currently the only exchange supporting `stoploss_on_exchange`. It provides great advantages, so we recommend to benefit from it.
|
||||
Binance supports `stoploss_on_exchange` and uses stop-loss-limit orders. It provides great advantages, so we recommend to benefit from it.
|
||||
|
||||
### Blacklists
|
||||
|
||||
@ -22,6 +22,9 @@ Binance has been split into 3, and users must use the correct ccxt exchange ID f
|
||||
|
||||
## Kraken
|
||||
|
||||
!!! Tip "Stoploss on Exchange"
|
||||
Kraken supports `stoploss_on_exchange` and uses stop-loss-market orders. It provides great advantages, so we recommend to benefit from it, however since the resulting order is a stoploss-market order, sell-rates are not guaranteed, which makes this feature less secure than on other exchanges. This limitation is based on kraken's policy [source](https://blog.kraken.com/post/1234/announcement-delisting-pairs-and-temporary-suspension-of-advanced-order-types/) and [source2](https://blog.kraken.com/post/1494/kraken-enables-advanced-orders-and-adds-10-currency-pairs/) - which has stoploss-limit orders disabled.
|
||||
|
||||
### Historic Kraken data
|
||||
|
||||
The Kraken API does only provide 720 historic candles, which is sufficient for Freqtrade dry-run and live trade modes, but is a problem for backtesting.
|
||||
|
||||
@ -57,12 +57,12 @@ Rarely you may also need to override:
|
||||
!!! Tip "Quickly optimize ROI, stoploss and trailing stoploss"
|
||||
You can quickly optimize the spaces `roi`, `stoploss` and `trailing` without changing anything (i.e. without creation of a "complete" Hyperopt class with dimensions, parameters, triggers and guards, as described in this document) from the default hyperopt template by relying on your strategy to do most of the calculations.
|
||||
|
||||
``` python
|
||||
```python
|
||||
# Have a working strategy at hand.
|
||||
freqtrade new-hyperopt --hyperopt EmptyHyperopt
|
||||
|
||||
freqtrade hyperopt --hyperopt EmptyHyperopt --spaces roi stoploss trailing --strategy MyWorkingStrategy --config config.json -e 100
|
||||
```
|
||||
```
|
||||
|
||||
### 1. Install a Custom Hyperopt File
|
||||
|
||||
@ -75,8 +75,8 @@ Copy the file `user_data/hyperopts/sample_hyperopt.py` into `user_data/hyperopts
|
||||
|
||||
There are two places you need to change in your hyperopt file to add a new buy hyperopt for testing:
|
||||
|
||||
- Inside `indicator_space()` - the parameters hyperopt shall be optimizing.
|
||||
- Inside `populate_buy_trend()` - applying the parameters.
|
||||
* Inside `indicator_space()` - the parameters hyperopt shall be optimizing.
|
||||
* Inside `populate_buy_trend()` - applying the parameters.
|
||||
|
||||
There you have two different types of indicators: 1. `guards` and 2. `triggers`.
|
||||
|
||||
@ -141,7 +141,7 @@ one we call `trigger` and use it to decide which buy trigger we want to use.
|
||||
|
||||
So let's write the buy strategy using these values:
|
||||
|
||||
``` python
|
||||
```python
|
||||
def populate_buy_trend(dataframe: DataFrame) -> DataFrame:
|
||||
conditions = []
|
||||
# GUARDS AND TRENDS
|
||||
@ -192,6 +192,7 @@ Currently, the following loss functions are builtin:
|
||||
* `DefaultHyperOptLoss` (default legacy Freqtrade hyperoptimization loss function)
|
||||
* `OnlyProfitHyperOptLoss` (which takes only amount of profit into consideration)
|
||||
* `SharpeHyperOptLoss` (optimizes Sharpe Ratio calculated on the trade returns)
|
||||
* `SharpeHyperOptLossDaily` (optimizes Sharpe Ratio calculated on daily trade returns)
|
||||
|
||||
Creation of a custom loss function is covered in the [Advanced Hyperopt](advanced-hyperopt.md) part of the documentation.
|
||||
|
||||
@ -206,7 +207,7 @@ We strongly recommend to use `screen` or `tmux` to prevent any connection loss.
|
||||
freqtrade hyperopt --config config.json --hyperopt <hyperoptname> -e 5000 --spaces all
|
||||
```
|
||||
|
||||
Use `<hyperoptname>` as the name of the custom hyperopt used.
|
||||
Use `<hyperoptname>` as the name of the custom hyperopt used.
|
||||
|
||||
The `-e` option will set how many evaluations hyperopt will do. We recommend
|
||||
running at least several thousand evaluations.
|
||||
@ -265,23 +266,23 @@ The default Hyperopt Search Space, used when no `--space` command line option is
|
||||
|
||||
### Position stacking and disabling max market positions
|
||||
|
||||
In some situations, you may need to run Hyperopt (and Backtesting) with the
|
||||
In some situations, you may need to run Hyperopt (and Backtesting) with the
|
||||
`--eps`/`--enable-position-staking` and `--dmmp`/`--disable-max-market-positions` arguments.
|
||||
|
||||
By default, hyperopt emulates the behavior of the Freqtrade Live Run/Dry Run, where only one
|
||||
open trade is allowed for every traded pair. The total number of trades open for all pairs
|
||||
open trade is allowed for every traded pair. The total number of trades open for all pairs
|
||||
is also limited by the `max_open_trades` setting. During Hyperopt/Backtesting this may lead to
|
||||
some potential trades to be hidden (or masked) by previosly open trades.
|
||||
|
||||
The `--eps`/`--enable-position-stacking` argument allows emulation of buying the same pair multiple times,
|
||||
while `--dmmp`/`--disable-max-market-positions` disables applying `max_open_trades`
|
||||
while `--dmmp`/`--disable-max-market-positions` disables applying `max_open_trades`
|
||||
during Hyperopt/Backtesting (which is equal to setting `max_open_trades` to a very high
|
||||
number).
|
||||
|
||||
!!! Note
|
||||
Dry/live runs will **NOT** use position stacking - therefore it does make sense to also validate the strategy without this as it's closer to reality.
|
||||
|
||||
You can also enable position stacking in the configuration file by explicitly setting
|
||||
You can also enable position stacking in the configuration file by explicitly setting
|
||||
`"position_stacking"=true`.
|
||||
|
||||
### Reproducible results
|
||||
@ -323,7 +324,7 @@ method, what those values match to.
|
||||
|
||||
So for example you had `rsi-value: 29.0` so we would look at `rsi`-block, that translates to the following code block:
|
||||
|
||||
``` python
|
||||
```python
|
||||
(dataframe['rsi'] < 29.0)
|
||||
```
|
||||
|
||||
@ -372,18 +373,19 @@ In order to use this best ROI table found by Hyperopt in backtesting and for liv
|
||||
118: 0
|
||||
}
|
||||
```
|
||||
|
||||
As stated in the comment, you can also use it as the value of the `minimal_roi` setting in the configuration file.
|
||||
|
||||
#### Default ROI Search Space
|
||||
|
||||
If you are optimizing ROI, Freqtrade creates the 'roi' optimization hyperspace for you -- it's the hyperspace of components for the ROI tables. By default, each ROI table generated by the Freqtrade consists of 4 rows (steps). Hyperopt implements adaptive ranges for ROI tables with ranges for values in the ROI steps that depend on the ticker_interval used. By default the values vary in the following ranges (for some of the most used ticker intervals, values are rounded to 5 digits after the decimal point):
|
||||
|
||||
| # step | 1m | | 5m | | 1h | | 1d | |
|
||||
|---|---|---|---|---|---|---|---|---|
|
||||
| 1 | 0 | 0.01161...0.11992 | 0 | 0.03...0.31 | 0 | 0.06883...0.71124 | 0 | 0.12178...1.25835 |
|
||||
| 2 | 2...8 | 0.00774...0.04255 | 10...40 | 0.02...0.11 | 120...480 | 0.04589...0.25238 | 2880...11520 | 0.08118...0.44651 |
|
||||
| 3 | 4...20 | 0.00387...0.01547 | 20...100 | 0.01...0.04 | 240...1200 | 0.02294...0.09177 | 5760...28800 | 0.04059...0.16237 |
|
||||
| 4 | 6...44 | 0.0 | 30...220 | 0.0 | 360...2640 | 0.0 | 8640...63360 | 0.0 |
|
||||
| # step | 1m | | 5m | | 1h | | 1d | |
|
||||
| ------ | ------ | ----------------- | -------- | ----------- | ---------- | ----------------- | ------------ | ----------------- |
|
||||
| 1 | 0 | 0.01161...0.11992 | 0 | 0.03...0.31 | 0 | 0.06883...0.71124 | 0 | 0.12178...1.25835 |
|
||||
| 2 | 2...8 | 0.00774...0.04255 | 10...40 | 0.02...0.11 | 120...480 | 0.04589...0.25238 | 2880...11520 | 0.08118...0.44651 |
|
||||
| 3 | 4...20 | 0.00387...0.01547 | 20...100 | 0.01...0.04 | 240...1200 | 0.02294...0.09177 | 5760...28800 | 0.04059...0.16237 |
|
||||
| 4 | 6...44 | 0.0 | 30...220 | 0.0 | 360...2640 | 0.0 | 8640...63360 | 0.0 |
|
||||
|
||||
These ranges should be sufficient in most cases. The minutes in the steps (ROI dict keys) are scaled linearly depending on the ticker interval used. The ROI values in the steps (ROI dict values) are scaled logarithmically depending on the ticker interval used.
|
||||
|
||||
@ -416,6 +418,7 @@ In order to use this best stoploss value found by Hyperopt in backtesting and fo
|
||||
# This attribute will be overridden if the config file contains "stoploss"
|
||||
stoploss = -0.27996
|
||||
```
|
||||
|
||||
As stated in the comment, you can also use it as the value of the `stoploss` setting in the configuration file.
|
||||
|
||||
#### Default Stoploss Search Space
|
||||
@ -452,6 +455,7 @@ In order to use these best trailing stop parameters found by Hyperopt in backtes
|
||||
trailing_stop_positive_offset = 0.06038
|
||||
trailing_only_offset_is_reached = True
|
||||
```
|
||||
|
||||
As stated in the comment, you can also use it as the values of the corresponding settings in the configuration file.
|
||||
|
||||
#### Default Trailing Stop Search Space
|
||||
|
||||
@ -42,7 +42,7 @@ The easiest way to install and run Freqtrade is to clone the bot GitHub reposito
|
||||
This can be achieved with the following commands:
|
||||
|
||||
```bash
|
||||
git clone git@github.com:freqtrade/freqtrade.git
|
||||
git clone https://github.com/freqtrade/freqtrade.git
|
||||
cd freqtrade
|
||||
git checkout master # Optional, see (1)
|
||||
./setup.sh --install
|
||||
|
||||
@ -27,7 +27,7 @@ So this parameter will tell the bot how often it should update the stoploss orde
|
||||
This same logic will reapply a stoploss order on the exchange should you cancel it accidentally.
|
||||
|
||||
!!! Note
|
||||
Stoploss on exchange is only supported for Binance as of now.
|
||||
Stoploss on exchange is only supported for Binance (stop-loss-limit) and Kraken (stop-loss-market) as of now.
|
||||
|
||||
## Static Stop Loss
|
||||
|
||||
|
||||
@ -532,6 +532,27 @@ If you want to use a strategy from a different directory you can pass `--strateg
|
||||
freqtrade trade --strategy AwesomeStrategy --strategy-path /some/directory
|
||||
```
|
||||
|
||||
### Derived strategies
|
||||
|
||||
The strategies can be derived from other strategies. This avoids duplication of your custom strategy code. You can use this technique to override small parts of your main strategy, leaving the rest untouched:
|
||||
|
||||
``` python
|
||||
class MyAwesomeStrategy(IStrategy):
|
||||
...
|
||||
stoploss = 0.13
|
||||
trailing_stop = False
|
||||
# All other attributes and methods are here as they
|
||||
# should be in any custom strategy...
|
||||
...
|
||||
|
||||
class MyAwesomeStrategy2(MyAwesomeStrategy):
|
||||
# Override something
|
||||
stoploss = 0.08
|
||||
trailing_stop = True
|
||||
```
|
||||
|
||||
Both attributes and methods may be overriden, altering behavior of the original strategy in a way you need.
|
||||
|
||||
### Common mistakes when developing strategies
|
||||
|
||||
Backtesting analyzes the whole time-range at once for performance reasons. Because of this, strategy authors need to make sure that strategies do not look-ahead into the future.
|
||||
|
||||
@ -108,9 +108,9 @@ With custom user directory
|
||||
freqtrade new-hyperopt --userdir ~/.freqtrade/ --hyperopt AwesomeHyperopt
|
||||
```
|
||||
|
||||
## List Strategies
|
||||
## List Strategies and List Hyperopts
|
||||
|
||||
Use the `list-strategies` subcommand to see all strategies in one particular directory.
|
||||
Use the `list-strategies` subcommand to see all strategies in one particular directory and the `list-hyperopts` subcommand to list custom Hyperopts.
|
||||
|
||||
```
|
||||
freqtrade list-strategies --help
|
||||
@ -133,22 +133,63 @@ Common arguments:
|
||||
--userdir PATH, --user-data-dir PATH
|
||||
Path to userdata directory.
|
||||
```
|
||||
```
|
||||
freqtrade list-hyperopts --help
|
||||
usage: freqtrade list-hyperopts [-h] [-v] [--logfile FILE] [-V] [-c PATH]
|
||||
[-d PATH] [--userdir PATH]
|
||||
[--hyperopt-path PATH] [-1]
|
||||
|
||||
optional arguments:
|
||||
-h, --help show this help message and exit
|
||||
--hyperopt-path PATH Specify additional lookup path for Hyperopt and
|
||||
Hyperopt Loss functions.
|
||||
-1, --one-column Print output in one column.
|
||||
|
||||
Common arguments:
|
||||
-v, --verbose Verbose mode (-vv for more, -vvv to get all messages).
|
||||
--logfile FILE Log to the file specified. Special values are:
|
||||
'syslog', 'journald'. See the documentation for more
|
||||
details.
|
||||
-V, --version show program's version number and exit
|
||||
-c PATH, --config PATH
|
||||
Specify configuration file (default: `config.json`).
|
||||
Multiple --config options may be used. Can be set to
|
||||
`-` to read config from stdin.
|
||||
-d PATH, --datadir PATH
|
||||
Path to directory with historical backtesting data.
|
||||
--userdir PATH, --user-data-dir PATH
|
||||
Path to userdata directory.
|
||||
```
|
||||
|
||||
!!! Warning
|
||||
Using this command will try to load all python files from a directory. This can be a security risk if untrusted files reside in this directory, since all module-level code is executed.
|
||||
Using these commands will try to load all python files from a directory. This can be a security risk if untrusted files reside in this directory, since all module-level code is executed.
|
||||
|
||||
Example: search default strategy directory within userdir
|
||||
Example: Search default strategies and hyperopts directories (within the default userdir).
|
||||
|
||||
``` bash
|
||||
freqtrade list-strategies
|
||||
freqtrade list-hyperopts
|
||||
```
|
||||
|
||||
Example: Search strategies and hyperopts directory within the userdir.
|
||||
|
||||
``` bash
|
||||
freqtrade list-strategies --userdir ~/.freqtrade/
|
||||
freqtrade list-hyperopts --userdir ~/.freqtrade/
|
||||
```
|
||||
|
||||
Example: search dedicated strategy path
|
||||
Example: Search dedicated strategy path.
|
||||
|
||||
``` bash
|
||||
freqtrade list-strategies --strategy-path ~/.freqtrade/strategies/
|
||||
```
|
||||
|
||||
Example: Search dedicated hyperopt path.
|
||||
|
||||
``` bash
|
||||
freqtrade list-hyperopt --hyperopt-path ~/.freqtrade/hyperopts/
|
||||
```
|
||||
|
||||
## List Exchanges
|
||||
|
||||
Use the `list-exchanges` subcommand to see the exchanges available for the bot.
|
||||
|
||||
@ -15,6 +15,7 @@ from freqtrade.commands.deploy_commands import (start_create_userdir,
|
||||
from freqtrade.commands.hyperopt_commands import (start_hyperopt_list,
|
||||
start_hyperopt_show)
|
||||
from freqtrade.commands.list_commands import (start_list_exchanges,
|
||||
start_list_hyperopts,
|
||||
start_list_markets,
|
||||
start_list_strategies,
|
||||
start_list_timeframes)
|
||||
|
||||
@ -32,6 +32,8 @@ ARGS_EDGE = ARGS_COMMON_OPTIMIZE + ["stoploss_range"]
|
||||
|
||||
ARGS_LIST_STRATEGIES = ["strategy_path", "print_one_column"]
|
||||
|
||||
ARGS_LIST_HYPEROPTS = ["hyperopt_path", "print_one_column"]
|
||||
|
||||
ARGS_LIST_EXCHANGES = ["print_one_column", "list_exchanges_all"]
|
||||
|
||||
ARGS_LIST_TIMEFRAMES = ["exchange", "print_one_column"]
|
||||
@ -66,9 +68,9 @@ ARGS_HYPEROPT_LIST = ["hyperopt_list_best", "hyperopt_list_profitable", "print_c
|
||||
ARGS_HYPEROPT_SHOW = ["hyperopt_list_best", "hyperopt_list_profitable", "hyperopt_show_index",
|
||||
"print_json", "hyperopt_show_no_header"]
|
||||
|
||||
NO_CONF_REQURIED = ["convert-data", "convert-trade-data", "download-data",
|
||||
"list-timeframes", "list-markets", "list-pairs",
|
||||
"list-strategies", "hyperopt-list", "hyperopt-show",
|
||||
NO_CONF_REQURIED = ["convert-data", "convert-trade-data", "download-data", "list-timeframes",
|
||||
"list-markets", "list-pairs", "list-strategies",
|
||||
"list-hyperopts", "hyperopt-list", "hyperopt-show",
|
||||
"plot-dataframe", "plot-profit"]
|
||||
|
||||
NO_CONF_ALLOWED = ["create-userdir", "list-exchanges", "new-hyperopt", "new-strategy"]
|
||||
@ -137,9 +139,10 @@ class Arguments:
|
||||
from freqtrade.commands import (start_create_userdir, start_convert_data,
|
||||
start_download_data,
|
||||
start_hyperopt_list, start_hyperopt_show,
|
||||
start_list_exchanges, start_list_markets,
|
||||
start_list_strategies, start_new_hyperopt,
|
||||
start_new_strategy, start_list_timeframes,
|
||||
start_list_exchanges, start_list_hyperopts,
|
||||
start_list_markets, start_list_strategies,
|
||||
start_list_timeframes,
|
||||
start_new_hyperopt, start_new_strategy,
|
||||
start_plot_dataframe, start_plot_profit,
|
||||
start_backtesting, start_hyperopt, start_edge,
|
||||
start_test_pairlist, start_trading)
|
||||
@ -203,6 +206,15 @@ class Arguments:
|
||||
list_strategies_cmd.set_defaults(func=start_list_strategies)
|
||||
self._build_args(optionlist=ARGS_LIST_STRATEGIES, parser=list_strategies_cmd)
|
||||
|
||||
# Add list-hyperopts subcommand
|
||||
list_hyperopts_cmd = subparsers.add_parser(
|
||||
'list-hyperopts',
|
||||
help='Print available hyperopt classes.',
|
||||
parents=[_common_parser],
|
||||
)
|
||||
list_hyperopts_cmd.set_defaults(func=start_list_hyperopts)
|
||||
self._build_args(optionlist=ARGS_LIST_HYPEROPTS, parser=list_hyperopts_cmd)
|
||||
|
||||
# Add list-exchanges subcommand
|
||||
list_exchanges_cmd = subparsers.add_parser(
|
||||
'list-exchanges',
|
||||
|
||||
@ -256,7 +256,7 @@ AVAILABLE_CLI_OPTIONS = {
|
||||
help='Specify the class name of the hyperopt loss function class (IHyperOptLoss). '
|
||||
'Different functions can generate completely different results, '
|
||||
'since the target for optimization is different. Built-in Hyperopt-loss-functions are: '
|
||||
'DefaultHyperOptLoss, OnlyProfitHyperOptLoss, SharpeHyperOptLoss.'
|
||||
'DefaultHyperOptLoss, OnlyProfitHyperOptLoss, SharpeHyperOptLoss, SharpeHyperOptLossDaily.'
|
||||
'(default: `%(default)s`).',
|
||||
metavar='NAME',
|
||||
default=constants.DEFAULT_HYPEROPT_LOSS,
|
||||
|
||||
@ -39,26 +39,31 @@ def start_download_data(args: Dict[str, Any]) -> None:
|
||||
pairs_not_available: List[str] = []
|
||||
|
||||
# Init exchange
|
||||
exchange = ExchangeResolver.load_exchange(config['exchange']['name'], config)
|
||||
exchange = ExchangeResolver.load_exchange(config['exchange']['name'], config, validate=False)
|
||||
# Manual validations of relevant settings
|
||||
exchange.validate_pairs(config['pairs'])
|
||||
for timeframe in config['timeframes']:
|
||||
exchange.validate_timeframes(timeframe)
|
||||
|
||||
try:
|
||||
|
||||
if config.get('download_trades'):
|
||||
pairs_not_available = refresh_backtest_trades_data(
|
||||
exchange, pairs=config["pairs"], datadir=config['datadir'],
|
||||
timerange=timerange, erase=config.get("erase"),
|
||||
timerange=timerange, erase=bool(config.get("erase")),
|
||||
data_format=config['dataformat_trades'])
|
||||
|
||||
# Convert downloaded trade data to different timeframes
|
||||
convert_trades_to_ohlcv(
|
||||
pairs=config["pairs"], timeframes=config["timeframes"],
|
||||
datadir=config['datadir'], timerange=timerange, erase=config.get("erase"),
|
||||
datadir=config['datadir'], timerange=timerange, erase=bool(config.get("erase")),
|
||||
data_format_ohlcv=config['dataformat_ohlcv'],
|
||||
data_format_trades=config['dataformat_trades'],
|
||||
)
|
||||
else:
|
||||
pairs_not_available = refresh_backtest_ohlcv_data(
|
||||
exchange, pairs=config["pairs"], timeframes=config["timeframes"],
|
||||
datadir=config['datadir'], timerange=timerange, erase=config.get("erase"),
|
||||
datadir=config['datadir'], timerange=timerange, erase=bool(config.get("erase")),
|
||||
data_format=config['dataformat_ohlcv'])
|
||||
|
||||
except KeyboardInterrupt:
|
||||
|
||||
@ -6,7 +6,7 @@ from typing import Any, Dict
|
||||
from freqtrade.configuration import setup_utils_configuration
|
||||
from freqtrade.configuration.directory_operations import (copy_sample_files,
|
||||
create_userdata_dir)
|
||||
from freqtrade.constants import USERPATH_HYPEROPTS, USERPATH_STRATEGY
|
||||
from freqtrade.constants import USERPATH_HYPEROPTS, USERPATH_STRATEGIES
|
||||
from freqtrade.exceptions import OperationalException
|
||||
from freqtrade.misc import render_template
|
||||
from freqtrade.state import RunMode
|
||||
@ -28,7 +28,7 @@ def start_create_userdir(args: Dict[str, Any]) -> None:
|
||||
sys.exit(1)
|
||||
|
||||
|
||||
def deploy_new_strategy(strategy_name, strategy_path: Path, subtemplate: str):
|
||||
def deploy_new_strategy(strategy_name: str, strategy_path: Path, subtemplate: str) -> None:
|
||||
"""
|
||||
Deploy new strategy from template to strategy_path
|
||||
"""
|
||||
@ -57,7 +57,7 @@ def start_new_strategy(args: Dict[str, Any]) -> None:
|
||||
if args["strategy"] == "DefaultStrategy":
|
||||
raise OperationalException("DefaultStrategy is not allowed as name.")
|
||||
|
||||
new_path = config['user_data_dir'] / USERPATH_STRATEGY / (args["strategy"] + ".py")
|
||||
new_path = config['user_data_dir'] / USERPATH_STRATEGIES / (args["strategy"] + ".py")
|
||||
|
||||
if new_path.exists():
|
||||
raise OperationalException(f"`{new_path}` already exists. "
|
||||
@ -69,7 +69,7 @@ def start_new_strategy(args: Dict[str, Any]) -> None:
|
||||
raise OperationalException("`new-strategy` requires --strategy to be set.")
|
||||
|
||||
|
||||
def deploy_new_hyperopt(hyperopt_name, hyperopt_path: Path, subtemplate: str):
|
||||
def deploy_new_hyperopt(hyperopt_name: str, hyperopt_path: Path, subtemplate: str) -> None:
|
||||
"""
|
||||
Deploys a new hyperopt template to hyperopt_path
|
||||
"""
|
||||
|
||||
@ -9,7 +9,7 @@ import rapidjson
|
||||
from tabulate import tabulate
|
||||
|
||||
from freqtrade.configuration import setup_utils_configuration
|
||||
from freqtrade.constants import USERPATH_STRATEGY
|
||||
from freqtrade.constants import USERPATH_HYPEROPTS, USERPATH_STRATEGIES
|
||||
from freqtrade.exceptions import OperationalException
|
||||
from freqtrade.exchange import (available_exchanges, ccxt_exchanges,
|
||||
market_is_active, symbol_is_pair)
|
||||
@ -38,11 +38,11 @@ def start_list_exchanges(args: Dict[str, Any]) -> None:
|
||||
|
||||
def start_list_strategies(args: Dict[str, Any]) -> None:
|
||||
"""
|
||||
Print Strategies available in a directory
|
||||
Print files with Strategy custom classes available in the directory
|
||||
"""
|
||||
config = setup_utils_configuration(args, RunMode.UTIL_NO_EXCHANGE)
|
||||
|
||||
directory = Path(config.get('strategy_path', config['user_data_dir'] / USERPATH_STRATEGY))
|
||||
directory = Path(config.get('strategy_path', config['user_data_dir'] / USERPATH_STRATEGIES))
|
||||
strategies = StrategyResolver.search_all_objects(directory)
|
||||
# Sort alphabetically
|
||||
strategies = sorted(strategies, key=lambda x: x['name'])
|
||||
@ -54,6 +54,26 @@ def start_list_strategies(args: Dict[str, Any]) -> None:
|
||||
print(tabulate(strats_to_print, headers='keys', tablefmt='pipe'))
|
||||
|
||||
|
||||
def start_list_hyperopts(args: Dict[str, Any]) -> None:
|
||||
"""
|
||||
Print files with HyperOpt custom classes available in the directory
|
||||
"""
|
||||
from freqtrade.resolvers.hyperopt_resolver import HyperOptResolver
|
||||
|
||||
config = setup_utils_configuration(args, RunMode.UTIL_NO_EXCHANGE)
|
||||
|
||||
directory = Path(config.get('hyperopt_path', config['user_data_dir'] / USERPATH_HYPEROPTS))
|
||||
hyperopts = HyperOptResolver.search_all_objects(directory)
|
||||
# Sort alphabetically
|
||||
hyperopts = sorted(hyperopts, key=lambda x: x['name'])
|
||||
hyperopts_to_print = [{'name': s['name'], 'location': s['location'].name} for s in hyperopts]
|
||||
|
||||
if args['print_one_column']:
|
||||
print('\n'.join([s['name'] for s in hyperopts]))
|
||||
else:
|
||||
print(tabulate(hyperopts_to_print, headers='keys', tablefmt='pipe'))
|
||||
|
||||
|
||||
def start_list_timeframes(args: Dict[str, Any]) -> None:
|
||||
"""
|
||||
Print ticker intervals (timeframes) available on Exchange
|
||||
|
||||
@ -5,7 +5,7 @@ from freqtrade.exceptions import OperationalException
|
||||
from freqtrade.state import RunMode
|
||||
|
||||
|
||||
def validate_plot_args(args: Dict[str, Any]):
|
||||
def validate_plot_args(args: Dict[str, Any]) -> None:
|
||||
if not args.get('datadir') and not args.get('config'):
|
||||
raise OperationalException(
|
||||
"You need to specify either `--datadir` or `--config` "
|
||||
|
||||
@ -10,8 +10,10 @@ def start_trading(args: Dict[str, Any]) -> int:
|
||||
"""
|
||||
Main entry point for trading mode
|
||||
"""
|
||||
# Import here to avoid loading worker module when it's not used
|
||||
from freqtrade.worker import Worker
|
||||
# Load and run worker
|
||||
|
||||
# Create and run worker
|
||||
worker = None
|
||||
try:
|
||||
worker = Worker(args)
|
||||
|
||||
@ -10,7 +10,7 @@ from freqtrade.state import RunMode
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
def remove_credentials(config: Dict[str, Any]):
|
||||
def remove_credentials(config: Dict[str, Any]) -> None:
|
||||
"""
|
||||
Removes exchange keys from the configuration and specifies dry-run
|
||||
Used for backtesting / hyperopt / edge and utils.
|
||||
|
||||
@ -13,7 +13,7 @@ logger = logging.getLogger(__name__)
|
||||
|
||||
def check_conflicting_settings(config: Dict[str, Any],
|
||||
section1: str, name1: str,
|
||||
section2: str, name2: str):
|
||||
section2: str, name2: str) -> None:
|
||||
section1_config = config.get(section1, {})
|
||||
section2_config = config.get(section2, {})
|
||||
if name1 in section1_config and name2 in section2_config:
|
||||
@ -28,7 +28,7 @@ def check_conflicting_settings(config: Dict[str, Any],
|
||||
|
||||
def process_deprecated_setting(config: Dict[str, Any],
|
||||
section1: str, name1: str,
|
||||
section2: str, name2: str):
|
||||
section2: str, name2: str) -> None:
|
||||
section2_config = config.get(section2, {})
|
||||
|
||||
if name2 in section2_config:
|
||||
|
||||
@ -23,7 +23,7 @@ def create_datadir(config: Dict[str, Any], datadir: Optional[str] = None) -> Pat
|
||||
return folder
|
||||
|
||||
|
||||
def create_userdata_dir(directory: str, create_dir=False) -> Path:
|
||||
def create_userdata_dir(directory: str, create_dir: bool = False) -> Path:
|
||||
"""
|
||||
Create userdata directory structure.
|
||||
if create_dir is True, then the parent-directory will be created if it does not exist.
|
||||
|
||||
@ -7,6 +7,7 @@ from typing import Optional
|
||||
|
||||
import arrow
|
||||
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
@ -30,7 +31,7 @@ class TimeRange:
|
||||
return (self.starttype == other.starttype and self.stoptype == other.stoptype
|
||||
and self.startts == other.startts and self.stopts == other.stopts)
|
||||
|
||||
def subtract_start(self, seconds) -> None:
|
||||
def subtract_start(self, seconds: int) -> None:
|
||||
"""
|
||||
Subtracts <seconds> from startts if startts is set.
|
||||
:param seconds: Seconds to subtract from starttime
|
||||
@ -59,7 +60,7 @@ class TimeRange:
|
||||
self.starttype = 'date'
|
||||
|
||||
@staticmethod
|
||||
def parse_timerange(text: Optional[str]):
|
||||
def parse_timerange(text: Optional[str]) -> 'TimeRange':
|
||||
"""
|
||||
Parse the value of the argument --timerange to determine what is the range desired
|
||||
:param text: value from --timerange
|
||||
|
||||
@ -17,22 +17,24 @@ REQUIRED_ORDERTIF = ['buy', 'sell']
|
||||
REQUIRED_ORDERTYPES = ['buy', 'sell', 'stoploss', 'stoploss_on_exchange']
|
||||
ORDERTYPE_POSSIBILITIES = ['limit', 'market']
|
||||
ORDERTIF_POSSIBILITIES = ['gtc', 'fok', 'ioc']
|
||||
AVAILABLE_PAIRLISTS = ['StaticPairList', 'VolumePairList', 'PrecisionFilter', 'PriceFilter']
|
||||
AVAILABLE_PAIRLISTS = ['StaticPairList', 'VolumePairList',
|
||||
'PrecisionFilter', 'PriceFilter', 'SpreadFilter']
|
||||
AVAILABLE_DATAHANDLERS = ['json', 'jsongz']
|
||||
DRY_RUN_WALLET = 1000
|
||||
MATH_CLOSE_PREC = 1e-14 # Precision used for float comparisons
|
||||
DEFAULT_DATAFRAME_COLUMNS = ['date', 'open', 'high', 'low', 'close', 'volume']
|
||||
|
||||
USERPATH_HYPEROPTS = 'hyperopts'
|
||||
USERPATH_STRATEGY = 'strategies'
|
||||
USERPATH_STRATEGIES = 'strategies'
|
||||
USERPATH_NOTEBOOKS = 'notebooks'
|
||||
|
||||
# Soure files with destination directories within user-directory
|
||||
USER_DATA_FILES = {
|
||||
'sample_strategy.py': USERPATH_STRATEGY,
|
||||
'sample_strategy.py': USERPATH_STRATEGIES,
|
||||
'sample_hyperopt_advanced.py': USERPATH_HYPEROPTS,
|
||||
'sample_hyperopt_loss.py': USERPATH_HYPEROPTS,
|
||||
'sample_hyperopt.py': USERPATH_HYPEROPTS,
|
||||
'strategy_analysis_example.ipynb': 'notebooks',
|
||||
'strategy_analysis_example.ipynb': USERPATH_NOTEBOOKS,
|
||||
}
|
||||
|
||||
SUPPORTED_FIAT = [
|
||||
|
||||
@ -3,7 +3,7 @@ Helpers when analyzing backtest data
|
||||
"""
|
||||
import logging
|
||||
from pathlib import Path
|
||||
from typing import Dict
|
||||
from typing import Dict, Union
|
||||
|
||||
import numpy as np
|
||||
import pandas as pd
|
||||
@ -20,7 +20,7 @@ BT_DATA_COLUMNS = ["pair", "profitperc", "open_time", "close_time", "index", "du
|
||||
"open_rate", "close_rate", "open_at_end", "sell_reason"]
|
||||
|
||||
|
||||
def load_backtest_data(filename) -> pd.DataFrame:
|
||||
def load_backtest_data(filename: Union[Path, str]) -> pd.DataFrame:
|
||||
"""
|
||||
Load backtest data file.
|
||||
:param filename: pathlib.Path object, or string pointing to the file.
|
||||
@ -151,7 +151,8 @@ def extract_trades_of_period(dataframe: pd.DataFrame, trades: pd.DataFrame) -> p
|
||||
return trades
|
||||
|
||||
|
||||
def combine_tickers_with_mean(tickers: Dict[str, pd.DataFrame], column: str = "close"):
|
||||
def combine_tickers_with_mean(tickers: Dict[str, pd.DataFrame],
|
||||
column: str = "close") -> pd.DataFrame:
|
||||
"""
|
||||
Combine multiple dataframes "column"
|
||||
:param tickers: Dict of Dataframes, dict key should be pair.
|
||||
|
||||
@ -219,7 +219,7 @@ def _download_pair_history(datadir: Path,
|
||||
|
||||
def refresh_backtest_ohlcv_data(exchange: Exchange, pairs: List[str], timeframes: List[str],
|
||||
datadir: Path, timerange: Optional[TimeRange] = None,
|
||||
erase=False, data_format: str = None) -> List[str]:
|
||||
erase: bool = False, data_format: str = None) -> List[str]:
|
||||
"""
|
||||
Refresh stored ohlcv data for backtesting and hyperopt operations.
|
||||
Used by freqtrade download-data subcommand.
|
||||
@ -290,7 +290,7 @@ def _download_trades_history(exchange: Exchange,
|
||||
|
||||
|
||||
def refresh_backtest_trades_data(exchange: Exchange, pairs: List[str], datadir: Path,
|
||||
timerange: TimeRange, erase=False,
|
||||
timerange: TimeRange, erase: bool = False,
|
||||
data_format: str = 'jsongz') -> List[str]:
|
||||
"""
|
||||
Refresh stored trades data for backtesting and hyperopt operations.
|
||||
@ -318,7 +318,7 @@ def refresh_backtest_trades_data(exchange: Exchange, pairs: List[str], datadir:
|
||||
|
||||
|
||||
def convert_trades_to_ohlcv(pairs: List[str], timeframes: List[str],
|
||||
datadir: Path, timerange: TimeRange, erase=False,
|
||||
datadir: Path, timerange: TimeRange, erase: bool = False,
|
||||
data_format_ohlcv: str = 'json',
|
||||
data_format_trades: str = 'jsongz') -> None:
|
||||
"""
|
||||
|
||||
@ -1,7 +1,7 @@
|
||||
# pragma pylint: disable=W0603
|
||||
""" Edge positioning package """
|
||||
import logging
|
||||
from typing import Any, Dict, NamedTuple
|
||||
from typing import Any, Dict, List, NamedTuple
|
||||
|
||||
import arrow
|
||||
import numpy as np
|
||||
@ -182,7 +182,7 @@ class Edge:
|
||||
'strategy stoploss is returned instead.')
|
||||
return self.strategy.stoploss
|
||||
|
||||
def adjust(self, pairs) -> list:
|
||||
def adjust(self, pairs: List[str]) -> list:
|
||||
"""
|
||||
Filters out and sorts "pairs" according to Edge calculated pairs
|
||||
"""
|
||||
|
||||
@ -32,13 +32,23 @@ class Binance(Exchange):
|
||||
|
||||
return super().get_order_book(pair, limit)
|
||||
|
||||
def stoploss_limit(self, pair: str, amount: float, stop_price: float, rate: float) -> Dict:
|
||||
def stoploss_adjust(self, stop_loss: float, order: Dict) -> bool:
|
||||
"""
|
||||
Verify stop_loss against stoploss-order value (limit or price)
|
||||
Returns True if adjustment is necessary.
|
||||
"""
|
||||
return order['type'] == 'stop_loss_limit' and stop_loss > float(order['info']['stopPrice'])
|
||||
|
||||
def stoploss(self, pair: str, amount: float, stop_price: float, order_types: Dict) -> Dict:
|
||||
"""
|
||||
creates a stoploss limit order.
|
||||
this stoploss-limit is binance-specific.
|
||||
It may work with a limited number of other exchanges, but this has not been tested yet.
|
||||
|
||||
"""
|
||||
# Limit price threshold: As limit price should always be below stop-price
|
||||
limit_price_pct = order_types.get('stoploss_on_exchange_limit_ratio', 0.99)
|
||||
rate = stop_price * limit_price_pct
|
||||
|
||||
ordertype = "stop_loss_limit"
|
||||
|
||||
stop_price = self.price_to_precision(pair, stop_price)
|
||||
@ -61,8 +71,8 @@ class Binance(Exchange):
|
||||
|
||||
rate = self.price_to_precision(pair, rate)
|
||||
|
||||
order = self._api.create_order(pair, ordertype, 'sell',
|
||||
amount, rate, params)
|
||||
order = self._api.create_order(symbol=pair, type=ordertype, side='sell',
|
||||
amount=amount, price=stop_price, params=params)
|
||||
logger.info('stoploss limit order added for %s. '
|
||||
'stop price: %s. limit: %s', pair, stop_price, rate)
|
||||
return order
|
||||
|
||||
@ -24,6 +24,10 @@ from freqtrade.exceptions import (DependencyException, InvalidOrderException,
|
||||
from freqtrade.exchange.common import BAD_EXCHANGES, retrier, retrier_async
|
||||
from freqtrade.misc import deep_merge_dicts
|
||||
|
||||
|
||||
CcxtModuleType = Any
|
||||
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
@ -51,7 +55,7 @@ class Exchange:
|
||||
}
|
||||
_ft_has: Dict = {}
|
||||
|
||||
def __init__(self, config: dict, validate: bool = True) -> None:
|
||||
def __init__(self, config: Dict[str, Any], validate: bool = True) -> None:
|
||||
"""
|
||||
Initializes this module with the given config,
|
||||
it does basic validation whether the specified exchange and pairs are valid.
|
||||
@ -135,7 +139,7 @@ class Exchange:
|
||||
if self._api_async and inspect.iscoroutinefunction(self._api_async.close):
|
||||
asyncio.get_event_loop().run_until_complete(self._api_async.close())
|
||||
|
||||
def _init_ccxt(self, exchange_config: dict, ccxt_module=ccxt,
|
||||
def _init_ccxt(self, exchange_config: Dict[str, Any], ccxt_module: CcxtModuleType = ccxt,
|
||||
ccxt_kwargs: dict = None) -> ccxt.Exchange:
|
||||
"""
|
||||
Initialize ccxt with given config and return valid
|
||||
@ -224,13 +228,13 @@ class Exchange:
|
||||
markets = self.markets
|
||||
return sorted(set([x['quote'] for _, x in markets.items()]))
|
||||
|
||||
def klines(self, pair_interval: Tuple[str, str], copy=True) -> DataFrame:
|
||||
def klines(self, pair_interval: Tuple[str, str], copy: bool = True) -> DataFrame:
|
||||
if pair_interval in self._klines:
|
||||
return self._klines[pair_interval].copy() if copy else self._klines[pair_interval]
|
||||
else:
|
||||
return DataFrame()
|
||||
|
||||
def set_sandbox(self, api, exchange_config: dict, name: str):
|
||||
def set_sandbox(self, api: ccxt.Exchange, exchange_config: dict, name: str) -> None:
|
||||
if exchange_config.get('sandbox'):
|
||||
if api.urls.get('test'):
|
||||
api.urls['api'] = api.urls['test']
|
||||
@ -240,7 +244,7 @@ class Exchange:
|
||||
"Please check your config.json")
|
||||
raise OperationalException(f'Exchange {name} does not provide a sandbox api')
|
||||
|
||||
def _load_async_markets(self, reload=False) -> None:
|
||||
def _load_async_markets(self, reload: bool = False) -> None:
|
||||
try:
|
||||
if self._api_async:
|
||||
asyncio.get_event_loop().run_until_complete(
|
||||
@ -273,7 +277,7 @@ class Exchange:
|
||||
except ccxt.BaseError:
|
||||
logger.exception("Could not reload markets.")
|
||||
|
||||
def validate_stakecurrency(self, stake_currency) -> None:
|
||||
def validate_stakecurrency(self, stake_currency: str) -> None:
|
||||
"""
|
||||
Checks stake-currency against available currencies on the exchange.
|
||||
:param stake_currency: Stake-currency to validate
|
||||
@ -282,8 +286,8 @@ class Exchange:
|
||||
quote_currencies = self.get_quote_currencies()
|
||||
if stake_currency not in quote_currencies:
|
||||
raise OperationalException(
|
||||
f"{stake_currency} is not available as stake on {self.name}. "
|
||||
f"Available currencies are: {', '.join(quote_currencies)}")
|
||||
f"{stake_currency} is not available as stake on {self.name}. "
|
||||
f"Available currencies are: {', '.join(quote_currencies)}")
|
||||
|
||||
def validate_pairs(self, pairs: List[str]) -> None:
|
||||
"""
|
||||
@ -319,7 +323,7 @@ class Exchange:
|
||||
f"Please check if you are impacted by this restriction "
|
||||
f"on the exchange and eventually remove {pair} from your whitelist.")
|
||||
|
||||
def get_valid_pair_combination(self, curr_1, curr_2) -> str:
|
||||
def get_valid_pair_combination(self, curr_1: str, curr_2: str) -> str:
|
||||
"""
|
||||
Get valid pair combination of curr_1 and curr_2 by trying both combinations.
|
||||
"""
|
||||
@ -373,7 +377,7 @@ class Exchange:
|
||||
raise OperationalException(
|
||||
f'Time in force policies are not supported for {self.name} yet.')
|
||||
|
||||
def validate_required_startup_candles(self, startup_candles) -> None:
|
||||
def validate_required_startup_candles(self, startup_candles: int) -> None:
|
||||
"""
|
||||
Checks if required startup_candles is more than ohlcv_candle_limit.
|
||||
Requires a grace-period of 5 candles - so a startup-period up to 494 is allowed by default.
|
||||
@ -392,7 +396,7 @@ class Exchange:
|
||||
"""
|
||||
return endpoint in self._api.has and self._api.has[endpoint]
|
||||
|
||||
def amount_to_precision(self, pair, amount: float) -> float:
|
||||
def amount_to_precision(self, pair: str, amount: float) -> float:
|
||||
'''
|
||||
Returns the amount to buy or sell to a precision the Exchange accepts
|
||||
Reimplementation of ccxt internal methods - ensuring we can test the result is correct
|
||||
@ -406,7 +410,7 @@ class Exchange:
|
||||
|
||||
return amount
|
||||
|
||||
def price_to_precision(self, pair, price: float) -> float:
|
||||
def price_to_precision(self, pair: str, price: float) -> float:
|
||||
'''
|
||||
Returns the price rounded up to the precision the Exchange accepts.
|
||||
Partial Reimplementation of ccxt internal method decimal_to_precision(),
|
||||
@ -460,7 +464,7 @@ class Exchange:
|
||||
"status": "closed",
|
||||
"filled": closed_order["amount"],
|
||||
"remaining": 0
|
||||
})
|
||||
})
|
||||
if closed_order["type"] in ["stop_loss_limit"]:
|
||||
closed_order["info"].update({"stopPrice": closed_order["price"]})
|
||||
self._dry_run_open_orders[closed_order["id"]] = closed_order
|
||||
@ -494,7 +498,7 @@ class Exchange:
|
||||
raise OperationalException(e) from e
|
||||
|
||||
def buy(self, pair: str, ordertype: str, amount: float,
|
||||
rate: float, time_in_force) -> Dict:
|
||||
rate: float, time_in_force: str) -> Dict:
|
||||
|
||||
if self._config['dry_run']:
|
||||
dry_order = self.dry_run_order(pair, ordertype, "buy", amount, rate)
|
||||
@ -507,7 +511,7 @@ class Exchange:
|
||||
return self.create_order(pair, ordertype, 'buy', amount, rate, params)
|
||||
|
||||
def sell(self, pair: str, ordertype: str, amount: float,
|
||||
rate: float, time_in_force='gtc') -> Dict:
|
||||
rate: float, time_in_force: str = 'gtc') -> Dict:
|
||||
|
||||
if self._config['dry_run']:
|
||||
dry_order = self.dry_run_order(pair, ordertype, "sell", amount, rate)
|
||||
@ -519,9 +523,17 @@ class Exchange:
|
||||
|
||||
return self.create_order(pair, ordertype, 'sell', amount, rate, params)
|
||||
|
||||
def stoploss_limit(self, pair: str, amount: float, stop_price: float, rate: float) -> Dict:
|
||||
def stoploss_adjust(self, stop_loss: float, order: Dict) -> bool:
|
||||
"""
|
||||
creates a stoploss limit order.
|
||||
Verify stop_loss against stoploss-order value (limit or price)
|
||||
Returns True if adjustment is necessary.
|
||||
"""
|
||||
raise OperationalException(f"stoploss is not implemented for {self.name}.")
|
||||
|
||||
def stoploss(self, pair: str, amount: float, stop_price: float, order_types: Dict) -> Dict:
|
||||
"""
|
||||
creates a stoploss order.
|
||||
The precise ordertype is determined by the order_types dict or exchange default.
|
||||
Since ccxt does not unify stoploss-limit orders yet, this needs to be implemented in each
|
||||
exchange's subclass.
|
||||
The exception below should never raise, since we disallow
|
||||
@ -529,7 +541,7 @@ class Exchange:
|
||||
Note: Changes to this interface need to be applied to all sub-classes too.
|
||||
"""
|
||||
|
||||
raise OperationalException(f"stoploss_limit is not implemented for {self.name}.")
|
||||
raise OperationalException(f"stoploss is not implemented for {self.name}.")
|
||||
|
||||
@retrier
|
||||
def get_balance(self, currency: str) -> float:
|
||||
@ -728,10 +740,11 @@ class Exchange:
|
||||
f'Exchange {self._api.name} does not support fetching historical candlestick data.'
|
||||
f'Message: {e}') from e
|
||||
except (ccxt.NetworkError, ccxt.ExchangeError) as e:
|
||||
raise TemporaryError(f'Could not load ticker history due to {e.__class__.__name__}. '
|
||||
f'Message: {e}') from e
|
||||
raise TemporaryError(f'Could not load ticker history for pair {pair} due to '
|
||||
f'{e.__class__.__name__}. Message: {e}') from e
|
||||
except ccxt.BaseError as e:
|
||||
raise OperationalException(f'Could not fetch ticker data. Msg: {e}') from e
|
||||
raise OperationalException(f'Could not fetch ticker data for pair {pair}. '
|
||||
f'Msg: {e}') from e
|
||||
|
||||
@retrier_async
|
||||
async def _async_fetch_trades(self, pair: str,
|
||||
@ -976,8 +989,8 @@ class Exchange:
|
||||
raise OperationalException(e) from e
|
||||
|
||||
@retrier
|
||||
def get_fee(self, symbol, type='', side='', amount=1,
|
||||
price=1, taker_or_maker='maker') -> float:
|
||||
def get_fee(self, symbol: str, type: str = '', side: str = '', amount: float = 1,
|
||||
price: float = 1, taker_or_maker: str = 'maker') -> float:
|
||||
try:
|
||||
# validate that markets are loaded before trying to get fee
|
||||
if self._api.markets is None or len(self._api.markets) == 0:
|
||||
@ -1000,7 +1013,7 @@ def get_exchange_bad_reason(exchange_name: str) -> str:
|
||||
return BAD_EXCHANGES.get(exchange_name, "")
|
||||
|
||||
|
||||
def is_exchange_known_ccxt(exchange_name: str, ccxt_module=None) -> bool:
|
||||
def is_exchange_known_ccxt(exchange_name: str, ccxt_module: CcxtModuleType = None) -> bool:
|
||||
return exchange_name in ccxt_exchanges(ccxt_module)
|
||||
|
||||
|
||||
@ -1008,14 +1021,14 @@ def is_exchange_officially_supported(exchange_name: str) -> bool:
|
||||
return exchange_name in ['bittrex', 'binance']
|
||||
|
||||
|
||||
def ccxt_exchanges(ccxt_module=None) -> List[str]:
|
||||
def ccxt_exchanges(ccxt_module: CcxtModuleType = None) -> List[str]:
|
||||
"""
|
||||
Return the list of all exchanges known to ccxt
|
||||
"""
|
||||
return ccxt_module.exchanges if ccxt_module is not None else ccxt.exchanges
|
||||
|
||||
|
||||
def available_exchanges(ccxt_module=None) -> List[str]:
|
||||
def available_exchanges(ccxt_module: CcxtModuleType = None) -> List[str]:
|
||||
"""
|
||||
Return exchanges available to the bot, i.e. non-bad exchanges in the ccxt list
|
||||
"""
|
||||
@ -1075,7 +1088,8 @@ def timeframe_to_next_date(timeframe: str, date: datetime = None) -> datetime:
|
||||
return datetime.fromtimestamp(new_timestamp, tz=timezone.utc)
|
||||
|
||||
|
||||
def symbol_is_pair(market_symbol: str, base_currency: str = None, quote_currency: str = None):
|
||||
def symbol_is_pair(market_symbol: str, base_currency: str = None,
|
||||
quote_currency: str = None) -> bool:
|
||||
"""
|
||||
Check if the market symbol is a pair, i.e. that its symbol consists of the base currency and the
|
||||
quote currency separated by '/' character. If base_currency and/or quote_currency is passed,
|
||||
@ -1088,7 +1102,7 @@ def symbol_is_pair(market_symbol: str, base_currency: str = None, quote_currency
|
||||
(symbol_parts[1] == quote_currency if quote_currency else len(symbol_parts[1]) > 0))
|
||||
|
||||
|
||||
def market_is_active(market):
|
||||
def market_is_active(market: Dict) -> bool:
|
||||
"""
|
||||
Return True if the market is active.
|
||||
"""
|
||||
|
||||
@ -4,7 +4,8 @@ from typing import Dict
|
||||
|
||||
import ccxt
|
||||
|
||||
from freqtrade.exceptions import OperationalException, TemporaryError
|
||||
from freqtrade.exceptions import (DependencyException, InvalidOrderException,
|
||||
OperationalException, TemporaryError)
|
||||
from freqtrade.exchange import Exchange
|
||||
from freqtrade.exchange.exchange import retrier
|
||||
|
||||
@ -15,6 +16,7 @@ class Kraken(Exchange):
|
||||
|
||||
_params: Dict = {"trading_agreement": "agree"}
|
||||
_ft_has: Dict = {
|
||||
"stoploss_on_exchange": True,
|
||||
"trades_pagination": "id",
|
||||
"trades_pagination_arg": "since",
|
||||
}
|
||||
@ -48,3 +50,51 @@ class Kraken(Exchange):
|
||||
f'Could not get balance due to {e.__class__.__name__}. Message: {e}') from e
|
||||
except ccxt.BaseError as e:
|
||||
raise OperationalException(e) from e
|
||||
|
||||
def stoploss_adjust(self, stop_loss: float, order: Dict) -> bool:
|
||||
"""
|
||||
Verify stop_loss against stoploss-order value (limit or price)
|
||||
Returns True if adjustment is necessary.
|
||||
"""
|
||||
return order['type'] == 'stop-loss' and stop_loss > float(order['price'])
|
||||
|
||||
def stoploss(self, pair: str, amount: float, stop_price: float, order_types: Dict) -> Dict:
|
||||
"""
|
||||
Creates a stoploss market order.
|
||||
Stoploss market orders is the only stoploss type supported by kraken.
|
||||
"""
|
||||
|
||||
ordertype = "stop-loss"
|
||||
|
||||
stop_price = self.price_to_precision(pair, stop_price)
|
||||
|
||||
if self._config['dry_run']:
|
||||
dry_order = self.dry_run_order(
|
||||
pair, ordertype, "sell", amount, stop_price)
|
||||
return dry_order
|
||||
|
||||
try:
|
||||
params = self._params.copy()
|
||||
|
||||
amount = self.amount_to_precision(pair, amount)
|
||||
|
||||
order = self._api.create_order(symbol=pair, type=ordertype, side='sell',
|
||||
amount=amount, price=stop_price, params=params)
|
||||
logger.info('stoploss order added for %s. '
|
||||
'stop price: %s.', pair, stop_price)
|
||||
return order
|
||||
except ccxt.InsufficientFunds as e:
|
||||
raise DependencyException(
|
||||
f'Insufficient funds to create {ordertype} sell order on market {pair}.'
|
||||
f'Tried to create stoploss with amount {amount} at stoploss {stop_price}. '
|
||||
f'Message: {e}') from e
|
||||
except ccxt.InvalidOrder as e:
|
||||
raise InvalidOrderException(
|
||||
f'Could not create {ordertype} sell order on market {pair}. '
|
||||
f'Tried to create stoploss with amount {amount} at stoploss {stop_price}. '
|
||||
f'Message: {e}') from e
|
||||
except (ccxt.NetworkError, ccxt.ExchangeError) as e:
|
||||
raise TemporaryError(
|
||||
f'Could not place sell order due to {e.__class__.__name__}. Message: {e}') from e
|
||||
except ccxt.BaseError as e:
|
||||
raise OperationalException(e) from e
|
||||
|
||||
@ -95,6 +95,16 @@ class FreqtradeBot:
|
||||
# Protect sell-logic from forcesell and viceversa
|
||||
self._sell_lock = Lock()
|
||||
|
||||
def notify_status(self, msg: str) -> None:
|
||||
"""
|
||||
Public method for users of this class (worker, etc.) to send notifications
|
||||
via RPC about changes in the bot status.
|
||||
"""
|
||||
self.rpc.send_msg({
|
||||
'type': RPCMessageType.STATUS_NOTIFICATION,
|
||||
'status': msg
|
||||
})
|
||||
|
||||
def cleanup(self) -> None:
|
||||
"""
|
||||
Cleanup pending resources on an already stopped bot
|
||||
@ -255,7 +265,7 @@ class FreqtradeBot:
|
||||
|
||||
return used_rate
|
||||
|
||||
def get_trade_stake_amount(self, pair) -> float:
|
||||
def get_trade_stake_amount(self, pair: str) -> float:
|
||||
"""
|
||||
Calculate stake amount for the trade
|
||||
:return: float: Stake amount
|
||||
@ -417,17 +427,24 @@ class FreqtradeBot:
|
||||
Checks depth of market before executing a buy
|
||||
"""
|
||||
conf_bids_to_ask_delta = conf.get('bids_to_ask_delta', 0)
|
||||
logger.info('checking depth of market for %s', pair)
|
||||
logger.info(f"Checking depth of market for {pair} ...")
|
||||
order_book = self.exchange.get_order_book(pair, 1000)
|
||||
order_book_data_frame = order_book_to_dataframe(order_book['bids'], order_book['asks'])
|
||||
order_book_bids = order_book_data_frame['b_size'].sum()
|
||||
order_book_asks = order_book_data_frame['a_size'].sum()
|
||||
bids_ask_delta = order_book_bids / order_book_asks
|
||||
logger.info('bids: %s, asks: %s, delta: %s', order_book_bids,
|
||||
order_book_asks, bids_ask_delta)
|
||||
logger.info(
|
||||
f"Bids: {order_book_bids}, Asks: {order_book_asks}, Delta: {bids_ask_delta}, "
|
||||
f"Bid Price: {order_book['bids'][0][0]}, Ask Price: {order_book['asks'][0][0]}, "
|
||||
f"Immediate Bid Quantity: {order_book['bids'][0][1]}, "
|
||||
f"Immediate Ask Quantity: {order_book['asks'][0][1]}."
|
||||
)
|
||||
if bids_ask_delta >= conf_bids_to_ask_delta:
|
||||
logger.info(f"Bids to asks delta for {pair} DOES satisfy condition.")
|
||||
return True
|
||||
return False
|
||||
else:
|
||||
logger.info(f"Bids to asks delta for {pair} does not satisfy condition.")
|
||||
return False
|
||||
|
||||
def execute_buy(self, pair: str, stake_amount: float, price: Optional[float] = None) -> bool:
|
||||
"""
|
||||
@ -522,7 +539,7 @@ class FreqtradeBot:
|
||||
|
||||
return True
|
||||
|
||||
def _notify_buy(self, trade: Trade, order_type: str):
|
||||
def _notify_buy(self, trade: Trade, order_type: str) -> None:
|
||||
"""
|
||||
Sends rpc notification when a buy occured.
|
||||
"""
|
||||
@ -610,7 +627,7 @@ class FreqtradeBot:
|
||||
self.dataprovider.ohlcv(trade.pair, self.strategy.ticker_interval))
|
||||
|
||||
if config_ask_strategy.get('use_order_book', False):
|
||||
logger.info('Using order book for selling...')
|
||||
logger.debug(f'Using order book for selling {trade.pair}...')
|
||||
# logger.debug('Order book %s',orderBook)
|
||||
order_book_min = config_ask_strategy.get('order_book_min', 1)
|
||||
order_book_max = config_ask_strategy.get('order_book_max', 1)
|
||||
@ -619,7 +636,7 @@ class FreqtradeBot:
|
||||
|
||||
for i in range(order_book_min, order_book_max + 1):
|
||||
order_book_rate = order_book['asks'][i - 1][0]
|
||||
logger.info(' order book asks top %s: %0.8f', i, order_book_rate)
|
||||
logger.debug(' order book asks top %s: %0.8f', i, order_book_rate)
|
||||
sell_rate = order_book_rate
|
||||
|
||||
if self._check_and_execute_sell(trade, sell_rate, buy, sell):
|
||||
@ -641,13 +658,10 @@ class FreqtradeBot:
|
||||
Force-sells the pair (using EmergencySell reason) in case of Problems creating the order.
|
||||
:return: True if the order succeeded, and False in case of problems.
|
||||
"""
|
||||
# Limit price threshold: As limit price should always be below stop-price
|
||||
LIMIT_PRICE_PCT = self.strategy.order_types.get('stoploss_on_exchange_limit_ratio', 0.99)
|
||||
|
||||
try:
|
||||
stoploss_order = self.exchange.stoploss_limit(pair=trade.pair, amount=trade.amount,
|
||||
stop_price=stop_price,
|
||||
rate=rate * LIMIT_PRICE_PCT)
|
||||
stoploss_order = self.exchange.stoploss(pair=trade.pair, amount=trade.amount,
|
||||
stop_price=stop_price,
|
||||
order_types=self.strategy.order_types)
|
||||
trade.stoploss_order_id = str(stoploss_order['id'])
|
||||
return True
|
||||
except InvalidOrderException as e:
|
||||
@ -679,8 +693,24 @@ class FreqtradeBot:
|
||||
except InvalidOrderException as exception:
|
||||
logger.warning('Unable to fetch stoploss order: %s', exception)
|
||||
|
||||
# We check if stoploss order is fulfilled
|
||||
if stoploss_order and stoploss_order['status'] == 'closed':
|
||||
trade.sell_reason = SellType.STOPLOSS_ON_EXCHANGE.value
|
||||
trade.update(stoploss_order)
|
||||
# Lock pair for one candle to prevent immediate rebuys
|
||||
self.strategy.lock_pair(trade.pair,
|
||||
timeframe_to_next_date(self.config['ticker_interval']))
|
||||
self._notify_sell(trade, "stoploss")
|
||||
return True
|
||||
|
||||
if trade.open_order_id or not trade.is_open:
|
||||
# Trade has an open Buy or Sell order, Stoploss-handling can't happen in this case
|
||||
# as the Amount on the exchange is tied up in another trade.
|
||||
# The trade can be closed already (sell-order fill confirmation came in this iteration)
|
||||
return False
|
||||
|
||||
# If buy order is fulfilled but there is no stoploss, we add a stoploss on exchange
|
||||
if (not trade.open_order_id and not stoploss_order):
|
||||
if (not stoploss_order):
|
||||
|
||||
stoploss = self.edge.stoploss(pair=trade.pair) if self.edge else self.strategy.stoploss
|
||||
|
||||
@ -699,16 +729,6 @@ class FreqtradeBot:
|
||||
trade.stoploss_order_id = None
|
||||
logger.warning('Stoploss order was cancelled, but unable to recreate one.')
|
||||
|
||||
# We check if stoploss order is fulfilled
|
||||
if stoploss_order and stoploss_order['status'] == 'closed':
|
||||
trade.sell_reason = SellType.STOPLOSS_ON_EXCHANGE.value
|
||||
trade.update(stoploss_order)
|
||||
# Lock pair for one candle to prevent immediate rebuys
|
||||
self.strategy.lock_pair(trade.pair,
|
||||
timeframe_to_next_date(self.config['ticker_interval']))
|
||||
self._notify_sell(trade, "stoploss")
|
||||
return True
|
||||
|
||||
# Finally we check if stoploss on exchange should be moved up because of trailing.
|
||||
if stoploss_order and self.config.get('trailing_stop', False):
|
||||
# if trailing stoploss is enabled we check if stoploss value has changed
|
||||
@ -718,7 +738,7 @@ class FreqtradeBot:
|
||||
|
||||
return False
|
||||
|
||||
def handle_trailing_stoploss_on_exchange(self, trade: Trade, order):
|
||||
def handle_trailing_stoploss_on_exchange(self, trade: Trade, order: dict) -> None:
|
||||
"""
|
||||
Check to see if stoploss on exchange should be updated
|
||||
in case of trailing stoploss on exchange
|
||||
@ -726,8 +746,7 @@ class FreqtradeBot:
|
||||
:param order: Current on exchange stoploss order
|
||||
:return: None
|
||||
"""
|
||||
|
||||
if trade.stop_loss > float(order['info']['stopPrice']):
|
||||
if self.exchange.stoploss_adjust(trade.stop_loss, order):
|
||||
# we check if the update is neccesary
|
||||
update_beat = self.strategy.order_types.get('stoploss_on_exchange_interval', 60)
|
||||
if (datetime.utcnow() - trade.stoploss_last_update).total_seconds() >= update_beat:
|
||||
@ -741,10 +760,8 @@ class FreqtradeBot:
|
||||
f"for pair {trade.pair}")
|
||||
|
||||
# Create new stoploss order
|
||||
if self.create_stoploss_order(trade=trade, stop_price=trade.stop_loss,
|
||||
rate=trade.stop_loss):
|
||||
return False
|
||||
else:
|
||||
if not self.create_stoploss_order(trade=trade, stop_price=trade.stop_loss,
|
||||
rate=trade.stop_loss):
|
||||
logger.warning(f"Could not create trailing stoploss order "
|
||||
f"for pair {trade.pair}.")
|
||||
|
||||
@ -973,7 +990,7 @@ class FreqtradeBot:
|
||||
|
||||
self._notify_sell(trade, order_type)
|
||||
|
||||
def _notify_sell(self, trade: Trade, order_type: str):
|
||||
def _notify_sell(self, trade: Trade, order_type: str) -> None:
|
||||
"""
|
||||
Sends rpc notification when a sell occured.
|
||||
"""
|
||||
@ -1014,7 +1031,7 @@ class FreqtradeBot:
|
||||
# Common update trade state methods
|
||||
#
|
||||
|
||||
def update_trade_state(self, trade, action_order: dict = None):
|
||||
def update_trade_state(self, trade: Trade, action_order: dict = None) -> None:
|
||||
"""
|
||||
Checks trades with open orders and updates the amount if necessary
|
||||
"""
|
||||
|
||||
@ -6,6 +6,7 @@ import logging
|
||||
import re
|
||||
from datetime import datetime
|
||||
from pathlib import Path
|
||||
from typing import Any
|
||||
from typing.io import IO
|
||||
|
||||
import numpy as np
|
||||
@ -40,7 +41,7 @@ def datesarray_to_datetimearray(dates: np.ndarray) -> np.ndarray:
|
||||
return dates.dt.to_pydatetime()
|
||||
|
||||
|
||||
def file_dump_json(filename: Path, data, is_zip=False) -> None:
|
||||
def file_dump_json(filename: Path, data: Any, is_zip: bool = False) -> None:
|
||||
"""
|
||||
Dump JSON data into a file
|
||||
:param filename: file to create
|
||||
@ -63,7 +64,7 @@ def file_dump_json(filename: Path, data, is_zip=False) -> None:
|
||||
logger.debug(f'done json to "{filename}"')
|
||||
|
||||
|
||||
def json_load(datafile: IO):
|
||||
def json_load(datafile: IO) -> Any:
|
||||
"""
|
||||
load data with rapidjson
|
||||
Use this to have a consistent experience,
|
||||
@ -133,11 +134,11 @@ def round_dict(d, n):
|
||||
return {k: (round(v, n) if isinstance(v, float) else v) for k, v in d.items()}
|
||||
|
||||
|
||||
def plural(num, singular: str, plural: str = None) -> str:
|
||||
def plural(num: float, singular: str, plural: str = None) -> str:
|
||||
return singular if (num == 1 or num == -1) else plural or singular + 's'
|
||||
|
||||
|
||||
def render_template(templatefile: str, arguments: dict = {}):
|
||||
def render_template(templatefile: str, arguments: dict = {}) -> str:
|
||||
|
||||
from jinja2 import Environment, PackageLoader, select_autoescape
|
||||
|
||||
|
||||
@ -9,6 +9,7 @@ from datetime import datetime, timedelta
|
||||
from pathlib import Path
|
||||
from typing import Any, Dict, List, NamedTuple, Optional
|
||||
|
||||
import arrow
|
||||
from pandas import DataFrame
|
||||
|
||||
from freqtrade.configuration import (TimeRange, remove_credentials,
|
||||
@ -25,7 +26,7 @@ from freqtrade.optimize.optimize_reports import (
|
||||
from freqtrade.persistence import Trade
|
||||
from freqtrade.resolvers import ExchangeResolver, StrategyResolver
|
||||
from freqtrade.state import RunMode
|
||||
from freqtrade.strategy.interface import IStrategy, SellType
|
||||
from freqtrade.strategy.interface import IStrategy, SellCheckTuple, SellType
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
@ -150,7 +151,7 @@ class Backtesting:
|
||||
logger.info(f'Dumping backtest results to {recordfilename}')
|
||||
file_dump_json(recordfilename, records)
|
||||
|
||||
def _get_ticker_list(self, processed) -> Dict[str, DataFrame]:
|
||||
def _get_ticker_list(self, processed: Dict) -> Dict[str, DataFrame]:
|
||||
"""
|
||||
Helper function to convert a processed tickerlist into a list for performance reasons.
|
||||
|
||||
@ -177,7 +178,8 @@ class Backtesting:
|
||||
ticker[pair] = [x for x in ticker_data.itertuples()]
|
||||
return ticker
|
||||
|
||||
def _get_close_rate(self, sell_row, trade: Trade, sell, trade_dur) -> float:
|
||||
def _get_close_rate(self, sell_row, trade: Trade, sell: SellCheckTuple,
|
||||
trade_dur: int) -> float:
|
||||
"""
|
||||
Get close rate for backtesting result
|
||||
"""
|
||||
@ -282,7 +284,7 @@ class Backtesting:
|
||||
return None
|
||||
|
||||
def backtest(self, processed: Dict, stake_amount: float,
|
||||
start_date, end_date,
|
||||
start_date: arrow.Arrow, end_date: arrow.Arrow,
|
||||
max_open_trades: int = 0, position_stacking: bool = False) -> DataFrame:
|
||||
"""
|
||||
Implement backtesting functionality
|
||||
@ -406,12 +408,12 @@ class Backtesting:
|
||||
)
|
||||
# Execute backtest and print results
|
||||
all_results[self.strategy.get_strategy_name()] = self.backtest(
|
||||
processed=preprocessed,
|
||||
stake_amount=self.config['stake_amount'],
|
||||
start_date=min_date,
|
||||
end_date=max_date,
|
||||
max_open_trades=max_open_trades,
|
||||
position_stacking=position_stacking,
|
||||
processed=preprocessed,
|
||||
stake_amount=self.config['stake_amount'],
|
||||
start_date=min_date,
|
||||
end_date=max_date,
|
||||
max_open_trades=max_open_trades,
|
||||
position_stacking=position_stacking,
|
||||
)
|
||||
|
||||
for strategy, results in all_results.items():
|
||||
@ -428,7 +430,10 @@ class Backtesting:
|
||||
results=results))
|
||||
|
||||
print(' SELL REASON STATS '.center(133, '='))
|
||||
print(generate_text_table_sell_reason(data, results))
|
||||
print(generate_text_table_sell_reason(data,
|
||||
stake_currency=self.config['stake_currency'],
|
||||
max_open_trades=self.config['max_open_trades'],
|
||||
results=results))
|
||||
|
||||
print(' LEFT OPEN TRADES REPORT '.center(133, '='))
|
||||
print(generate_text_table(data,
|
||||
@ -438,7 +443,7 @@ class Backtesting:
|
||||
print()
|
||||
if len(all_results) > 1:
|
||||
# Print Strategy summary table
|
||||
print(' Strategy Summary '.center(133, '='))
|
||||
print(' STRATEGY SUMMARY '.center(133, '='))
|
||||
print(generate_text_table_strategy(self.config['stake_currency'],
|
||||
self.config['max_open_trades'],
|
||||
all_results=all_results))
|
||||
|
||||
@ -60,6 +60,7 @@ class Hyperopt:
|
||||
hyperopt = Hyperopt(config)
|
||||
hyperopt.start()
|
||||
"""
|
||||
|
||||
def __init__(self, config: Dict[str, Any]) -> None:
|
||||
self.config = config
|
||||
|
||||
@ -91,13 +92,13 @@ class Hyperopt:
|
||||
# Populate functions here (hasattr is slow so should not be run during "regular" operations)
|
||||
if hasattr(self.custom_hyperopt, 'populate_indicators'):
|
||||
self.backtesting.strategy.advise_indicators = \
|
||||
self.custom_hyperopt.populate_indicators # type: ignore
|
||||
self.custom_hyperopt.populate_indicators # type: ignore
|
||||
if hasattr(self.custom_hyperopt, 'populate_buy_trend'):
|
||||
self.backtesting.strategy.advise_buy = \
|
||||
self.custom_hyperopt.populate_buy_trend # type: ignore
|
||||
self.custom_hyperopt.populate_buy_trend # type: ignore
|
||||
if hasattr(self.custom_hyperopt, 'populate_sell_trend'):
|
||||
self.backtesting.strategy.advise_sell = \
|
||||
self.custom_hyperopt.populate_sell_trend # type: ignore
|
||||
self.custom_hyperopt.populate_sell_trend # type: ignore
|
||||
|
||||
# Use max_open_trades for hyperopt as well, except --disable-max-market-positions is set
|
||||
if self.config.get('use_max_market_positions', True):
|
||||
@ -118,11 +119,11 @@ class Hyperopt:
|
||||
self.print_json = self.config.get('print_json', False)
|
||||
|
||||
@staticmethod
|
||||
def get_lock_filename(config) -> str:
|
||||
def get_lock_filename(config: Dict[str, Any]) -> str:
|
||||
|
||||
return str(config['user_data_dir'] / 'hyperopt.lock')
|
||||
|
||||
def clean_hyperopt(self):
|
||||
def clean_hyperopt(self) -> None:
|
||||
"""
|
||||
Remove hyperopt pickle files to restart hyperopt.
|
||||
"""
|
||||
@ -159,7 +160,7 @@ class Hyperopt:
|
||||
f"saved to '{self.trials_file}'.")
|
||||
|
||||
@staticmethod
|
||||
def _read_trials(trials_file) -> List:
|
||||
def _read_trials(trials_file: Path) -> List:
|
||||
"""
|
||||
Read hyperopt trials file
|
||||
"""
|
||||
@ -190,7 +191,7 @@ class Hyperopt:
|
||||
return result
|
||||
|
||||
@staticmethod
|
||||
def print_epoch_details(results, total_epochs, print_json: bool,
|
||||
def print_epoch_details(results, total_epochs: int, print_json: bool,
|
||||
no_header: bool = False, header_str: str = None) -> None:
|
||||
"""
|
||||
Display details of the hyperopt result
|
||||
@ -219,7 +220,7 @@ class Hyperopt:
|
||||
Hyperopt._params_pretty_print(params, 'trailing', "Trailing stop:")
|
||||
|
||||
@staticmethod
|
||||
def _params_update_for_json(result_dict, params, space: str):
|
||||
def _params_update_for_json(result_dict, params, space: str) -> None:
|
||||
if space in params:
|
||||
space_params = Hyperopt._space_params(params, space)
|
||||
if space in ['buy', 'sell']:
|
||||
@ -236,7 +237,7 @@ class Hyperopt:
|
||||
result_dict.update(space_params)
|
||||
|
||||
@staticmethod
|
||||
def _params_pretty_print(params, space: str, header: str):
|
||||
def _params_pretty_print(params, space: str, header: str) -> None:
|
||||
if space in params:
|
||||
space_params = Hyperopt._space_params(params, space, 5)
|
||||
if space == 'stoploss':
|
||||
@ -252,7 +253,7 @@ class Hyperopt:
|
||||
return round_dict(d, r) if r else d
|
||||
|
||||
@staticmethod
|
||||
def is_best_loss(results, current_best_loss) -> bool:
|
||||
def is_best_loss(results, current_best_loss: float) -> bool:
|
||||
return results['loss'] < current_best_loss
|
||||
|
||||
def print_results(self, results) -> None:
|
||||
@ -346,15 +347,15 @@ class Hyperopt:
|
||||
|
||||
if self.has_space('roi'):
|
||||
self.backtesting.strategy.minimal_roi = \
|
||||
self.custom_hyperopt.generate_roi_table(params_dict)
|
||||
self.custom_hyperopt.generate_roi_table(params_dict)
|
||||
|
||||
if self.has_space('buy'):
|
||||
self.backtesting.strategy.advise_buy = \
|
||||
self.custom_hyperopt.buy_strategy_generator(params_dict)
|
||||
self.custom_hyperopt.buy_strategy_generator(params_dict)
|
||||
|
||||
if self.has_space('sell'):
|
||||
self.backtesting.strategy.advise_sell = \
|
||||
self.custom_hyperopt.sell_strategy_generator(params_dict)
|
||||
self.custom_hyperopt.sell_strategy_generator(params_dict)
|
||||
|
||||
if self.has_space('stoploss'):
|
||||
self.backtesting.strategy.stoploss = params_dict['stoploss']
|
||||
@ -373,12 +374,12 @@ class Hyperopt:
|
||||
min_date, max_date = get_timerange(processed)
|
||||
|
||||
backtesting_results = self.backtesting.backtest(
|
||||
processed=processed,
|
||||
stake_amount=self.config['stake_amount'],
|
||||
start_date=min_date,
|
||||
end_date=max_date,
|
||||
max_open_trades=self.max_open_trades,
|
||||
position_stacking=self.position_stacking,
|
||||
processed=processed,
|
||||
stake_amount=self.config['stake_amount'],
|
||||
start_date=min_date,
|
||||
end_date=max_date,
|
||||
max_open_trades=self.max_open_trades,
|
||||
position_stacking=self.position_stacking,
|
||||
)
|
||||
return self._get_results_dict(backtesting_results, min_date, max_date,
|
||||
params_dict, params_details)
|
||||
@ -439,7 +440,7 @@ class Hyperopt:
|
||||
random_state=self.random_state,
|
||||
)
|
||||
|
||||
def fix_optimizer_models_list(self):
|
||||
def fix_optimizer_models_list(self) -> None:
|
||||
"""
|
||||
WORKAROUND: Since skopt is not actively supported, this resolves problems with skopt
|
||||
memory usage, see also: https://github.com/scikit-optimize/scikit-optimize/pull/746
|
||||
@ -461,7 +462,7 @@ class Hyperopt:
|
||||
wrap_non_picklable_objects(self.generate_optimizer))(v, i) for v in asked)
|
||||
|
||||
@staticmethod
|
||||
def load_previous_results(trials_file) -> List:
|
||||
def load_previous_results(trials_file: Path) -> List:
|
||||
"""
|
||||
Load data for epochs from the file if we have one
|
||||
"""
|
||||
@ -470,8 +471,8 @@ class Hyperopt:
|
||||
trials = Hyperopt._read_trials(trials_file)
|
||||
if trials[0].get('is_best') is None:
|
||||
raise OperationalException(
|
||||
"The file with Hyperopt results is incompatible with this version "
|
||||
"of Freqtrade and cannot be loaded.")
|
||||
"The file with Hyperopt results is incompatible with this version "
|
||||
"of Freqtrade and cannot be loaded.")
|
||||
logger.info(f"Loaded {len(trials)} previous evaluations from disk.")
|
||||
return trials
|
||||
|
||||
|
||||
@ -207,7 +207,7 @@ class IHyperOpt(ABC):
|
||||
# so this intermediate parameter is used as the value of the difference between
|
||||
# them. The value of the 'trailing_stop_positive_offset' is constructed in the
|
||||
# generate_trailing_params() method.
|
||||
# # This is similar to the hyperspace dimensions used for constructing the ROI tables.
|
||||
# This is similar to the hyperspace dimensions used for constructing the ROI tables.
|
||||
Real(0.001, 0.1, name='trailing_stop_positive_offset_p1'),
|
||||
|
||||
Categorical([True, False], name='trailing_only_offset_is_reached'),
|
||||
|
||||
@ -28,18 +28,19 @@ class SharpeHyperOptLoss(IHyperOptLoss):
|
||||
|
||||
Uses Sharpe Ratio calculation.
|
||||
"""
|
||||
total_profit = results.profit_percent
|
||||
total_profit = results["profit_percent"]
|
||||
days_period = (max_date - min_date).days
|
||||
|
||||
# adding slippage of 0.1% per trade
|
||||
total_profit = total_profit - 0.0005
|
||||
expected_yearly_return = total_profit.sum() / days_period
|
||||
expected_returns_mean = total_profit.sum() / days_period
|
||||
up_stdev = np.std(total_profit)
|
||||
|
||||
if (np.std(total_profit) != 0.):
|
||||
sharp_ratio = expected_yearly_return / np.std(total_profit) * np.sqrt(365)
|
||||
sharp_ratio = expected_returns_mean / up_stdev * np.sqrt(365)
|
||||
else:
|
||||
# Define high (negative) sharpe ratio to be clear that this is NOT optimal.
|
||||
sharp_ratio = -20.
|
||||
|
||||
# print(expected_yearly_return, np.std(total_profit), sharp_ratio)
|
||||
# print(expected_returns_mean, up_stdev, sharp_ratio)
|
||||
return -sharp_ratio
|
||||
|
||||
61
freqtrade/optimize/hyperopt_loss_sharpe_daily.py
Normal file
61
freqtrade/optimize/hyperopt_loss_sharpe_daily.py
Normal file
@ -0,0 +1,61 @@
|
||||
"""
|
||||
SharpeHyperOptLossDaily
|
||||
|
||||
This module defines the alternative HyperOptLoss class which can be used for
|
||||
Hyperoptimization.
|
||||
"""
|
||||
import math
|
||||
from datetime import datetime
|
||||
|
||||
from pandas import DataFrame, date_range
|
||||
|
||||
from freqtrade.optimize.hyperopt import IHyperOptLoss
|
||||
|
||||
|
||||
class SharpeHyperOptLossDaily(IHyperOptLoss):
|
||||
"""
|
||||
Defines the loss function for hyperopt.
|
||||
|
||||
This implementation uses the Sharpe Ratio calculation.
|
||||
"""
|
||||
|
||||
@staticmethod
|
||||
def hyperopt_loss_function(results: DataFrame, trade_count: int,
|
||||
min_date: datetime, max_date: datetime,
|
||||
*args, **kwargs) -> float:
|
||||
"""
|
||||
Objective function, returns smaller number for more optimal results.
|
||||
|
||||
Uses Sharpe Ratio calculation.
|
||||
"""
|
||||
resample_freq = '1D'
|
||||
slippage_per_trade_ratio = 0.0005
|
||||
days_in_year = 365
|
||||
annual_risk_free_rate = 0.0
|
||||
risk_free_rate = annual_risk_free_rate / days_in_year
|
||||
|
||||
# apply slippage per trade to profit_percent
|
||||
results.loc[:, 'profit_percent_after_slippage'] = \
|
||||
results['profit_percent'] - slippage_per_trade_ratio
|
||||
|
||||
# create the index within the min_date and end max_date
|
||||
t_index = date_range(start=min_date, end=max_date, freq=resample_freq)
|
||||
|
||||
sum_daily = (
|
||||
results.resample(resample_freq, on='close_time').agg(
|
||||
{"profit_percent_after_slippage": sum}).reindex(t_index).fillna(0)
|
||||
)
|
||||
|
||||
total_profit = sum_daily["profit_percent_after_slippage"] - risk_free_rate
|
||||
expected_returns_mean = total_profit.mean()
|
||||
up_stdev = total_profit.std()
|
||||
|
||||
if (up_stdev != 0.):
|
||||
sharp_ratio = expected_returns_mean / up_stdev * math.sqrt(days_in_year)
|
||||
else:
|
||||
# Define high (negative) sharpe ratio to be clear that this is NOT optimal.
|
||||
sharp_ratio = -20.
|
||||
|
||||
# print(t_index, sum_daily, total_profit)
|
||||
# print(risk_free_rate, expected_returns_mean, up_stdev, sharp_ratio)
|
||||
return -sharp_ratio
|
||||
@ -19,9 +19,18 @@ def generate_text_table(data: Dict[str, Dict], stake_currency: str, max_open_tra
|
||||
|
||||
floatfmt = ('s', 'd', '.2f', '.2f', '.8f', '.2f', 'd', '.1f', '.1f')
|
||||
tabular_data = []
|
||||
headers = ['pair', 'buy count', 'avg profit %', 'cum profit %',
|
||||
f'tot profit {stake_currency}', 'tot profit %', 'avg duration',
|
||||
'profit', 'loss']
|
||||
headers = [
|
||||
'Pair',
|
||||
'Buys',
|
||||
'Avg Profit %',
|
||||
'Cum Profit %',
|
||||
f'Tot Profit {stake_currency}',
|
||||
'Tot Profit %',
|
||||
'Avg Duration',
|
||||
'Wins',
|
||||
'Draws',
|
||||
'Losses'
|
||||
]
|
||||
for pair in data:
|
||||
result = results[results.pair == pair]
|
||||
if skip_nan and result.profit_abs.isnull().all():
|
||||
@ -37,6 +46,7 @@ def generate_text_table(data: Dict[str, Dict], stake_currency: str, max_open_tra
|
||||
str(timedelta(
|
||||
minutes=round(result.trade_duration.mean()))) if not result.empty else '0:00',
|
||||
len(result[result.profit_abs > 0]),
|
||||
len(result[result.profit_abs == 0]),
|
||||
len(result[result.profit_abs < 0])
|
||||
])
|
||||
|
||||
@ -51,6 +61,7 @@ def generate_text_table(data: Dict[str, Dict], stake_currency: str, max_open_tra
|
||||
str(timedelta(
|
||||
minutes=round(results.trade_duration.mean()))) if not results.empty else '0:00',
|
||||
len(results[results.profit_abs > 0]),
|
||||
len(results[results.profit_abs == 0]),
|
||||
len(results[results.profit_abs < 0])
|
||||
])
|
||||
# Ignore type as floatfmt does allow tuples but mypy does not know that
|
||||
@ -58,7 +69,9 @@ def generate_text_table(data: Dict[str, Dict], stake_currency: str, max_open_tra
|
||||
floatfmt=floatfmt, tablefmt="pipe") # type: ignore
|
||||
|
||||
|
||||
def generate_text_table_sell_reason(data: Dict[str, Dict], results: DataFrame) -> str:
|
||||
def generate_text_table_sell_reason(
|
||||
data: Dict[str, Dict], stake_currency: str, max_open_trades: int, results: DataFrame
|
||||
) -> str:
|
||||
"""
|
||||
Generate small table outlining Backtest results
|
||||
:param data: Dict of <pair: dataframe> containing data that was used during backtesting.
|
||||
@ -66,13 +79,39 @@ def generate_text_table_sell_reason(data: Dict[str, Dict], results: DataFrame) -
|
||||
:return: pretty printed table with tabulate as string
|
||||
"""
|
||||
tabular_data = []
|
||||
headers = ['Sell Reason', 'Count', 'Profit', 'Loss', 'Profit %']
|
||||
headers = [
|
||||
"Sell Reason",
|
||||
"Sells",
|
||||
"Wins",
|
||||
"Draws",
|
||||
"Losses",
|
||||
"Avg Profit %",
|
||||
"Cum Profit %",
|
||||
f"Tot Profit {stake_currency}",
|
||||
"Tot Profit %",
|
||||
]
|
||||
for reason, count in results['sell_reason'].value_counts().iteritems():
|
||||
result = results.loc[results['sell_reason'] == reason]
|
||||
profit = len(result[result['profit_abs'] >= 0])
|
||||
wins = len(result[result['profit_abs'] > 0])
|
||||
draws = len(result[result['profit_abs'] == 0])
|
||||
loss = len(result[result['profit_abs'] < 0])
|
||||
profit_mean = round(result['profit_percent'].mean() * 100.0, 2)
|
||||
tabular_data.append([reason.value, count, profit, loss, profit_mean])
|
||||
profit_sum = round(result["profit_percent"].sum() * 100.0, 2)
|
||||
profit_tot = result['profit_abs'].sum()
|
||||
profit_percent_tot = round(result['profit_percent'].sum() * 100.0 / max_open_trades, 2)
|
||||
tabular_data.append(
|
||||
[
|
||||
reason.value,
|
||||
count,
|
||||
wins,
|
||||
draws,
|
||||
loss,
|
||||
profit_mean,
|
||||
profit_sum,
|
||||
profit_tot,
|
||||
profit_percent_tot,
|
||||
]
|
||||
)
|
||||
return tabulate(tabular_data, headers=headers, tablefmt="pipe")
|
||||
|
||||
|
||||
@ -88,9 +127,9 @@ def generate_text_table_strategy(stake_currency: str, max_open_trades: str,
|
||||
|
||||
floatfmt = ('s', 'd', '.2f', '.2f', '.8f', '.2f', 'd', '.1f', '.1f')
|
||||
tabular_data = []
|
||||
headers = ['Strategy', 'buy count', 'avg profit %', 'cum profit %',
|
||||
f'tot profit {stake_currency}', 'tot profit %', 'avg duration',
|
||||
'profit', 'loss']
|
||||
headers = ['Strategy', 'Buys', 'Avg Profit %', 'Cum Profit %',
|
||||
f'Tot Profit {stake_currency}', 'Tot Profit %', 'Avg Duration',
|
||||
'Wins', 'Draws', 'Losses']
|
||||
for strategy, results in all_results.items():
|
||||
tabular_data.append([
|
||||
strategy,
|
||||
@ -102,6 +141,7 @@ def generate_text_table_strategy(stake_currency: str, max_open_trades: str,
|
||||
str(timedelta(
|
||||
minutes=round(results.trade_duration.mean()))) if not results.empty else '0:00',
|
||||
len(results[results.profit_abs > 0]),
|
||||
len(results[results.profit_abs == 0]),
|
||||
len(results[results.profit_abs < 0])
|
||||
])
|
||||
# Ignore type as floatfmt does allow tuples but mypy does not know that
|
||||
@ -113,9 +153,9 @@ def generate_edge_table(results: dict) -> str:
|
||||
|
||||
floatfmt = ('s', '.10g', '.2f', '.2f', '.2f', '.2f', 'd', '.d')
|
||||
tabular_data = []
|
||||
headers = ['pair', 'stoploss', 'win rate', 'risk reward ratio',
|
||||
'required risk reward', 'expectancy', 'total number of trades',
|
||||
'average duration (min)']
|
||||
headers = ['Pair', 'Stoploss', 'Win Rate', 'Risk Reward Ratio',
|
||||
'Required Risk Reward', 'Expectancy', 'Total Number of Trades',
|
||||
'Average Duration (min)']
|
||||
|
||||
for result in results.items():
|
||||
if result[1].nb_trades > 0:
|
||||
|
||||
@ -7,7 +7,7 @@ Provides lists as configured in config.json
|
||||
import logging
|
||||
from abc import ABC, abstractmethod, abstractproperty
|
||||
from copy import deepcopy
|
||||
from typing import Dict, List
|
||||
from typing import Any, Dict, List
|
||||
|
||||
from freqtrade.exchange import market_is_active
|
||||
|
||||
@ -16,7 +16,8 @@ logger = logging.getLogger(__name__)
|
||||
|
||||
class IPairList(ABC):
|
||||
|
||||
def __init__(self, exchange, pairlistmanager, config, pairlistconfig: dict,
|
||||
def __init__(self, exchange, pairlistmanager,
|
||||
config: Dict[str, Any], pairlistconfig: Dict[str, Any],
|
||||
pairlist_pos: int) -> None:
|
||||
"""
|
||||
:param exchange: Exchange instance
|
||||
|
||||
@ -48,10 +48,10 @@ class PrecisionFilter(IPairList):
|
||||
"""
|
||||
Filters and sorts pairlists and assigns and returns them again.
|
||||
"""
|
||||
stoploss = None
|
||||
if self._config.get('stoploss') is not None:
|
||||
stoploss = self._config.get('stoploss')
|
||||
if stoploss is not None:
|
||||
# Precalculate sanitized stoploss value to avoid recalculation for every pair
|
||||
stoploss = 1 - abs(self._config.get('stoploss'))
|
||||
stoploss = 1 - abs(stoploss)
|
||||
# Copy list since we're modifying this list
|
||||
for p in deepcopy(pairlist):
|
||||
ticker = tickers.get(p)
|
||||
|
||||
@ -1,6 +1,6 @@
|
||||
import logging
|
||||
from copy import deepcopy
|
||||
from typing import Dict, List
|
||||
from typing import Any, Dict, List
|
||||
|
||||
from freqtrade.pairlist.IPairList import IPairList
|
||||
|
||||
@ -9,7 +9,8 @@ logger = logging.getLogger(__name__)
|
||||
|
||||
class PriceFilter(IPairList):
|
||||
|
||||
def __init__(self, exchange, pairlistmanager, config, pairlistconfig: dict,
|
||||
def __init__(self, exchange, pairlistmanager,
|
||||
config: Dict[str, Any], pairlistconfig: Dict[str, Any],
|
||||
pairlist_pos: int) -> None:
|
||||
super().__init__(exchange, pairlistmanager, config, pairlistconfig, pairlist_pos)
|
||||
|
||||
|
||||
59
freqtrade/pairlist/SpreadFilter.py
Normal file
59
freqtrade/pairlist/SpreadFilter.py
Normal file
@ -0,0 +1,59 @@
|
||||
import logging
|
||||
from copy import deepcopy
|
||||
from typing import Dict, List
|
||||
|
||||
from freqtrade.pairlist.IPairList import IPairList
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
class SpreadFilter(IPairList):
|
||||
|
||||
def __init__(self, exchange, pairlistmanager, config, pairlistconfig: dict,
|
||||
pairlist_pos: int) -> None:
|
||||
super().__init__(exchange, pairlistmanager, config, pairlistconfig, pairlist_pos)
|
||||
|
||||
self._max_spread_ratio = pairlistconfig.get('max_spread_ratio', 0.005)
|
||||
|
||||
@property
|
||||
def needstickers(self) -> bool:
|
||||
"""
|
||||
Boolean property defining if tickers are necessary.
|
||||
If no Pairlist requries tickers, an empty List is passed
|
||||
as tickers argument to filter_pairlist
|
||||
"""
|
||||
return True
|
||||
|
||||
def short_desc(self) -> str:
|
||||
"""
|
||||
Short whitelist method description - used for startup-messages
|
||||
"""
|
||||
return (f"{self.name} - Filtering pairs with ask/bid diff above "
|
||||
f"{self._max_spread_ratio * 100}%.")
|
||||
|
||||
def filter_pairlist(self, pairlist: List[str], tickers: Dict) -> List[str]:
|
||||
|
||||
"""
|
||||
Filters and sorts pairlist and returns the whitelist again.
|
||||
Called on each bot iteration - please use internal caching if necessary
|
||||
:param pairlist: pairlist to filter or sort
|
||||
:param tickers: Tickers (from exchange.get_tickers()). May be cached.
|
||||
:return: new whitelist
|
||||
"""
|
||||
# Copy list since we're modifying this list
|
||||
|
||||
spread = None
|
||||
for p in deepcopy(pairlist):
|
||||
ticker = tickers.get(p)
|
||||
assert ticker is not None
|
||||
if 'bid' in ticker and 'ask' in ticker:
|
||||
spread = 1 - ticker['bid'] / ticker['ask']
|
||||
if not ticker or spread > self._max_spread_ratio:
|
||||
logger.info(f"Removed {ticker['symbol']} from whitelist, "
|
||||
f"because spread {spread * 100:.3f}% >"
|
||||
f"{self._max_spread_ratio * 100}%")
|
||||
pairlist.remove(p)
|
||||
else:
|
||||
pairlist.remove(p)
|
||||
|
||||
return pairlist
|
||||
@ -6,7 +6,7 @@ Provides lists as configured in config.json
|
||||
"""
|
||||
import logging
|
||||
from datetime import datetime
|
||||
from typing import Dict, List
|
||||
from typing import Any, Dict, List
|
||||
|
||||
from freqtrade.exceptions import OperationalException
|
||||
from freqtrade.pairlist.IPairList import IPairList
|
||||
@ -18,7 +18,7 @@ SORT_VALUES = ['askVolume', 'bidVolume', 'quoteVolume']
|
||||
|
||||
class VolumePairList(IPairList):
|
||||
|
||||
def __init__(self, exchange, pairlistmanager, config, pairlistconfig: dict,
|
||||
def __init__(self, exchange, pairlistmanager, config: Dict[str, Any], pairlistconfig: dict,
|
||||
pairlist_pos: int) -> None:
|
||||
super().__init__(exchange, pairlistmanager, config, pairlistconfig, pairlist_pos)
|
||||
|
||||
@ -28,6 +28,7 @@ class VolumePairList(IPairList):
|
||||
'for "pairlist.config.number_assets"')
|
||||
self._number_pairs = self._pairlistconfig['number_assets']
|
||||
self._sort_key = self._pairlistconfig.get('sort_key', 'quoteVolume')
|
||||
self._min_value = self._pairlistconfig.get('min_value', 0)
|
||||
self.refresh_period = self._pairlistconfig.get('refresh_period', 1800)
|
||||
|
||||
if not self._exchange.exchange_has('fetchTickers'):
|
||||
@ -73,11 +74,13 @@ class VolumePairList(IPairList):
|
||||
tickers,
|
||||
self._config['stake_currency'],
|
||||
self._sort_key,
|
||||
self._min_value
|
||||
)
|
||||
else:
|
||||
return pairlist
|
||||
|
||||
def _gen_pair_whitelist(self, pairlist, tickers, base_currency: str, key: str) -> List[str]:
|
||||
def _gen_pair_whitelist(self, pairlist: List[str], tickers: Dict,
|
||||
base_currency: str, key: str, min_val: int) -> List[str]:
|
||||
"""
|
||||
Updates the whitelist with with a dynamically generated list
|
||||
:param base_currency: base currency as str
|
||||
@ -96,6 +99,9 @@ class VolumePairList(IPairList):
|
||||
# If other pairlist is in front, use the incomming pairlist.
|
||||
filtered_tickers = [v for k, v in tickers.items() if k in pairlist]
|
||||
|
||||
if min_val > 0:
|
||||
filtered_tickers = list(filter(lambda t: t[key] > min_val, filtered_tickers))
|
||||
|
||||
sorted_tickers = sorted(filtered_tickers, reverse=True, key=lambda t: t[key])
|
||||
|
||||
# Validate whitelist to only have active market pairs
|
||||
|
||||
@ -64,11 +64,11 @@ def init(db_url: str, clean_open_orders: bool = False) -> None:
|
||||
clean_dry_run_db()
|
||||
|
||||
|
||||
def has_column(columns, searchname: str) -> bool:
|
||||
def has_column(columns: List, searchname: str) -> bool:
|
||||
return len(list(filter(lambda x: x["name"] == searchname, columns))) == 1
|
||||
|
||||
|
||||
def get_column_def(columns, column: str, default: str) -> str:
|
||||
def get_column_def(columns: List, column: str, default: str) -> str:
|
||||
return default if not has_column(columns, column) else column
|
||||
|
||||
|
||||
@ -246,14 +246,15 @@ class Trade(_DECL_BASE):
|
||||
if self.initial_stop_loss_pct else None),
|
||||
}
|
||||
|
||||
def adjust_min_max_rates(self, current_price: float):
|
||||
def adjust_min_max_rates(self, current_price: float) -> None:
|
||||
"""
|
||||
Adjust the max_rate and min_rate.
|
||||
"""
|
||||
self.max_rate = max(current_price, self.max_rate or self.open_rate)
|
||||
self.min_rate = min(current_price, self.min_rate or self.open_rate)
|
||||
|
||||
def adjust_stop_loss(self, current_price: float, stoploss: float, initial: bool = False):
|
||||
def adjust_stop_loss(self, current_price: float, stoploss: float,
|
||||
initial: bool = False) -> None:
|
||||
"""
|
||||
This adjusts the stop loss to it's most recently observed setting
|
||||
:param current_price: Current rate the asset is traded
|
||||
|
||||
@ -374,7 +374,7 @@ def generate_profit_graph(pairs: str, tickers: Dict[str, pd.DataFrame],
|
||||
return fig
|
||||
|
||||
|
||||
def generate_plot_filename(pair, timeframe) -> str:
|
||||
def generate_plot_filename(pair: str, timeframe: str) -> str:
|
||||
"""
|
||||
Generate filenames per pair/timeframe to be used for storing plots
|
||||
"""
|
||||
|
||||
@ -25,7 +25,7 @@ class IResolver:
|
||||
initial_search_path: Path
|
||||
|
||||
@classmethod
|
||||
def build_search_paths(cls, config, user_subdir: Optional[str] = None,
|
||||
def build_search_paths(cls, config: Dict[str, Any], user_subdir: Optional[str] = None,
|
||||
extra_dir: Optional[str] = None) -> List[Path]:
|
||||
|
||||
abs_paths: List[Path] = [cls.initial_search_path]
|
||||
@ -61,7 +61,8 @@ class IResolver:
|
||||
|
||||
valid_objects_gen = (
|
||||
obj for name, obj in inspect.getmembers(module, inspect.isclass)
|
||||
if (object_name is None or object_name == name) and cls.object_type in obj.__bases__
|
||||
if ((object_name is None or object_name == name) and
|
||||
issubclass(obj, cls.object_type) and obj is not cls.object_type)
|
||||
)
|
||||
return valid_objects_gen
|
||||
|
||||
|
||||
@ -9,10 +9,10 @@ from base64 import urlsafe_b64decode
|
||||
from collections import OrderedDict
|
||||
from inspect import getfullargspec
|
||||
from pathlib import Path
|
||||
from typing import Dict, Optional
|
||||
from typing import Any, Dict, Optional
|
||||
|
||||
from freqtrade.constants import (REQUIRED_ORDERTIF, REQUIRED_ORDERTYPES,
|
||||
USERPATH_STRATEGY)
|
||||
USERPATH_STRATEGIES)
|
||||
from freqtrade.exceptions import OperationalException
|
||||
from freqtrade.resolvers import IResolver
|
||||
from freqtrade.strategy.interface import IStrategy
|
||||
@ -26,11 +26,11 @@ class StrategyResolver(IResolver):
|
||||
"""
|
||||
object_type = IStrategy
|
||||
object_type_str = "Strategy"
|
||||
user_subdir = USERPATH_STRATEGY
|
||||
user_subdir = USERPATH_STRATEGIES
|
||||
initial_search_path = Path(__file__).parent.parent.joinpath('strategy').resolve()
|
||||
|
||||
@staticmethod
|
||||
def load_strategy(config: Optional[Dict] = None) -> IStrategy:
|
||||
def load_strategy(config: Dict[str, Any] = None) -> IStrategy:
|
||||
"""
|
||||
Load the custom class from config parameter
|
||||
:param config: configuration dictionary or None
|
||||
@ -96,7 +96,8 @@ class StrategyResolver(IResolver):
|
||||
return strategy
|
||||
|
||||
@staticmethod
|
||||
def _override_attribute_helper(strategy, config, attribute: str, default):
|
||||
def _override_attribute_helper(strategy, config: Dict[str, Any],
|
||||
attribute: str, default: Any):
|
||||
"""
|
||||
Override attributes in the strategy.
|
||||
Prevalence:
|
||||
@ -140,7 +141,7 @@ class StrategyResolver(IResolver):
|
||||
"""
|
||||
|
||||
abs_paths = StrategyResolver.build_search_paths(config,
|
||||
user_subdir=USERPATH_STRATEGY,
|
||||
user_subdir=USERPATH_STRATEGIES,
|
||||
extra_dir=extra_dir)
|
||||
|
||||
if ":" in strategy_name:
|
||||
|
||||
@ -139,7 +139,8 @@ class RPC:
|
||||
results.append(trade_dict)
|
||||
return results
|
||||
|
||||
def _rpc_status_table(self, stake_currency, fiat_display_currency: str) -> Tuple[List, List]:
|
||||
def _rpc_status_table(self, stake_currency: str,
|
||||
fiat_display_currency: str) -> Tuple[List, List]:
|
||||
trades = Trade.get_open_trades()
|
||||
if not trades:
|
||||
raise RPCException('no active trade')
|
||||
@ -385,7 +386,7 @@ class RPC:
|
||||
|
||||
return {'status': 'No more buy will occur from now. Run /reload_conf to reset.'}
|
||||
|
||||
def _rpc_forcesell(self, trade_id) -> Dict[str, str]:
|
||||
def _rpc_forcesell(self, trade_id: str) -> Dict[str, str]:
|
||||
"""
|
||||
Handler for forcesell <id>.
|
||||
Sells the given trade at current price
|
||||
|
||||
@ -61,7 +61,7 @@ class RPCManager:
|
||||
except NotImplementedError:
|
||||
logger.error(f"Message type {msg['type']} not implemented by handler {mod.name}.")
|
||||
|
||||
def startup_messages(self, config, pairlist) -> None:
|
||||
def startup_messages(self, config: Dict[str, Any], pairlist) -> None:
|
||||
if config['dry_run']:
|
||||
self.send_msg({
|
||||
'type': RPCMessageType.WARNING_NOTIFICATION,
|
||||
|
||||
@ -180,7 +180,7 @@ class IStrategy(ABC):
|
||||
if pair not in self._pair_locked_until or self._pair_locked_until[pair] < until:
|
||||
self._pair_locked_until[pair] = until
|
||||
|
||||
def unlock_pair(self, pair) -> None:
|
||||
def unlock_pair(self, pair: str) -> None:
|
||||
"""
|
||||
Unlocks a pair previously locked using lock_pair.
|
||||
Not used by freqtrade itself, but intended to be used if users lock pairs
|
||||
|
||||
@ -230,7 +230,7 @@ class AdvancedSampleHyperOpt(IHyperOpt):
|
||||
'stoploss' optimization hyperspace.
|
||||
"""
|
||||
return [
|
||||
Real(-0.5, -0.02, name='stoploss'),
|
||||
Real(-0.35, -0.02, name='stoploss'),
|
||||
]
|
||||
|
||||
@staticmethod
|
||||
@ -249,8 +249,15 @@ class AdvancedSampleHyperOpt(IHyperOpt):
|
||||
# other 'trailing' hyperspace parameters.
|
||||
Categorical([True], name='trailing_stop'),
|
||||
|
||||
Real(0.02, 0.35, name='trailing_stop_positive'),
|
||||
Real(0.01, 0.1, name='trailing_stop_positive_offset'),
|
||||
Real(0.01, 0.35, name='trailing_stop_positive'),
|
||||
|
||||
# 'trailing_stop_positive_offset' should be greater than 'trailing_stop_positive',
|
||||
# so this intermediate parameter is used as the value of the difference between
|
||||
# them. The value of the 'trailing_stop_positive_offset' is constructed in the
|
||||
# generate_trailing_params() method.
|
||||
# This is similar to the hyperspace dimensions used for constructing the ROI tables.
|
||||
Real(0.001, 0.1, name='trailing_stop_positive_offset_p1'),
|
||||
|
||||
Categorical([True, False], name='trailing_only_offset_is_reached'),
|
||||
]
|
||||
|
||||
|
||||
4
freqtrade/vendor/qtpylib/indicators.py
vendored
4
freqtrade/vendor/qtpylib/indicators.py
vendored
@ -288,9 +288,9 @@ def rolling_min(series, window=14, min_periods=None):
|
||||
def rolling_max(series, window=14, min_periods=None):
|
||||
min_periods = window if min_periods is None else min_periods
|
||||
try:
|
||||
return series.rolling(window=window, min_periods=min_periods).min()
|
||||
return series.rolling(window=window, min_periods=min_periods).max()
|
||||
except Exception as e: # noqa: F841
|
||||
return pd.Series(series).rolling(window=window, min_periods=min_periods).min()
|
||||
return pd.Series(series).rolling(window=window, min_periods=min_periods).max()
|
||||
|
||||
|
||||
# ---------------------------------------------
|
||||
|
||||
@ -30,24 +30,21 @@ class Wallets:
|
||||
self._last_wallet_refresh = 0
|
||||
self.update()
|
||||
|
||||
def get_free(self, currency) -> float:
|
||||
|
||||
def get_free(self, currency: str) -> float:
|
||||
balance = self._wallets.get(currency)
|
||||
if balance and balance.free:
|
||||
return balance.free
|
||||
else:
|
||||
return 0
|
||||
|
||||
def get_used(self, currency) -> float:
|
||||
|
||||
def get_used(self, currency: str) -> float:
|
||||
balance = self._wallets.get(currency)
|
||||
if balance and balance.used:
|
||||
return balance.used
|
||||
else:
|
||||
return 0
|
||||
|
||||
def get_total(self, currency) -> float:
|
||||
|
||||
def get_total(self, currency: str) -> float:
|
||||
balance = self._wallets.get(currency)
|
||||
if balance and balance.total:
|
||||
return balance.total
|
||||
@ -87,7 +84,6 @@ class Wallets:
|
||||
self._wallets = _wallets
|
||||
|
||||
def _update_live(self) -> None:
|
||||
|
||||
balances = self._exchange.get_balances()
|
||||
|
||||
for currency in balances:
|
||||
|
||||
@ -12,7 +12,6 @@ from freqtrade import __version__, constants
|
||||
from freqtrade.configuration import Configuration
|
||||
from freqtrade.exceptions import OperationalException, TemporaryError
|
||||
from freqtrade.freqtradebot import FreqtradeBot
|
||||
from freqtrade.rpc import RPCMessageType
|
||||
from freqtrade.state import State
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
@ -23,7 +22,7 @@ class Worker:
|
||||
Freqtradebot worker class
|
||||
"""
|
||||
|
||||
def __init__(self, args: Dict[str, Any], config=None) -> None:
|
||||
def __init__(self, args: Dict[str, Any], config: Dict[str, Any] = None) -> None:
|
||||
"""
|
||||
Init all variables and objects the bot needs to work
|
||||
"""
|
||||
@ -57,14 +56,6 @@ class Worker:
|
||||
self._sd_notify = sdnotify.SystemdNotifier() if \
|
||||
self._config.get('internals', {}).get('sd_notify', False) else None
|
||||
|
||||
@property
|
||||
def state(self) -> State:
|
||||
return self.freqtrade.state
|
||||
|
||||
@state.setter
|
||||
def state(self, value: State) -> None:
|
||||
self.freqtrade.state = value
|
||||
|
||||
def run(self) -> None:
|
||||
state = None
|
||||
while True:
|
||||
@ -84,10 +75,8 @@ class Worker:
|
||||
|
||||
# Log state transition
|
||||
if state != old_state:
|
||||
self.freqtrade.rpc.send_msg({
|
||||
'type': RPCMessageType.STATUS_NOTIFICATION,
|
||||
'status': f'{state.name.lower()}'
|
||||
})
|
||||
self.freqtrade.notify_status(f'{state.name.lower()}')
|
||||
|
||||
logger.info('Changing state to: %s', state.name)
|
||||
if state == State.RUNNING:
|
||||
self.freqtrade.startup()
|
||||
@ -136,10 +125,9 @@ class Worker:
|
||||
except OperationalException:
|
||||
tb = traceback.format_exc()
|
||||
hint = 'Issue `/start` if you think it is safe to restart.'
|
||||
self.freqtrade.rpc.send_msg({
|
||||
'type': RPCMessageType.STATUS_NOTIFICATION,
|
||||
'status': f'OperationalException:\n```\n{tb}```{hint}'
|
||||
})
|
||||
|
||||
self.freqtrade.notify_status(f'OperationalException:\n```\n{tb}```{hint}')
|
||||
|
||||
logger.exception('OperationalException. Stopping trader ...')
|
||||
self.freqtrade.state = State.STOPPED
|
||||
|
||||
@ -159,10 +147,7 @@ class Worker:
|
||||
# Load and validate config and create new instance of the bot
|
||||
self._init(True)
|
||||
|
||||
self.freqtrade.rpc.send_msg({
|
||||
'type': RPCMessageType.STATUS_NOTIFICATION,
|
||||
'status': 'config reloaded'
|
||||
})
|
||||
self.freqtrade.notify_status('config reloaded')
|
||||
|
||||
# Tell systemd that we completed reconfiguration
|
||||
if self._sd_notify:
|
||||
@ -176,8 +161,5 @@ class Worker:
|
||||
self._sd_notify.notify("STOPPING=1")
|
||||
|
||||
if self.freqtrade:
|
||||
self.freqtrade.rpc.send_msg({
|
||||
'type': RPCMessageType.STATUS_NOTIFICATION,
|
||||
'status': 'process died'
|
||||
})
|
||||
self.freqtrade.notify_status('process died')
|
||||
self.freqtrade.cleanup()
|
||||
|
||||
@ -1,18 +1,18 @@
|
||||
# requirements without requirements installable via conda
|
||||
# mainly used for Raspberry pi installs
|
||||
ccxt==1.21.76
|
||||
SQLAlchemy==1.3.12
|
||||
ccxt==1.22.30
|
||||
SQLAlchemy==1.3.13
|
||||
python-telegram-bot==12.3.0
|
||||
arrow==0.15.5
|
||||
cachetools==4.0.0
|
||||
requests==2.22.0
|
||||
urllib3==1.25.7
|
||||
urllib3==1.25.8
|
||||
wrapt==1.11.2
|
||||
jsonschema==3.2.0
|
||||
TA-Lib==0.4.17
|
||||
tabulate==0.8.6
|
||||
coinmarketcap==5.0.3
|
||||
jinja2==2.10.3
|
||||
jinja2==2.11.1
|
||||
|
||||
# find first, C search in arrays
|
||||
py_find_1st==1.1.4
|
||||
|
||||
@ -8,7 +8,7 @@ flake8==3.7.9
|
||||
flake8-type-annotations==0.1.0
|
||||
flake8-tidy-imports==4.0.0
|
||||
mypy==0.761
|
||||
pytest==5.3.3
|
||||
pytest==5.3.5
|
||||
pytest-asyncio==0.10.0
|
||||
pytest-cov==2.8.1
|
||||
pytest-mock==2.0.0
|
||||
|
||||
@ -4,6 +4,6 @@
|
||||
# Required for hyperopt
|
||||
scipy==1.4.1
|
||||
scikit-learn==0.22.1
|
||||
scikit-optimize==0.5.2
|
||||
scikit-optimize==0.7.1
|
||||
filelock==3.0.12
|
||||
joblib==0.14.1
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
# Include all requirements to run the bot.
|
||||
-r requirements.txt
|
||||
|
||||
plotly==4.4.1
|
||||
plotly==4.5.0
|
||||
|
||||
|
||||
@ -2,4 +2,4 @@
|
||||
-r requirements-common.txt
|
||||
|
||||
numpy==1.18.1
|
||||
pandas==0.25.3
|
||||
pandas==1.0.0
|
||||
|
||||
@ -7,10 +7,10 @@ import pytest
|
||||
from freqtrade.commands import (start_convert_data, start_create_userdir,
|
||||
start_download_data, start_hyperopt_list,
|
||||
start_hyperopt_show, start_list_exchanges,
|
||||
start_list_markets, start_list_strategies,
|
||||
start_list_timeframes, start_new_hyperopt,
|
||||
start_new_strategy, start_test_pairlist,
|
||||
start_trading)
|
||||
start_list_hyperopts, start_list_markets,
|
||||
start_list_strategies, start_list_timeframes,
|
||||
start_new_hyperopt, start_new_strategy,
|
||||
start_test_pairlist, start_trading)
|
||||
from freqtrade.configuration import setup_utils_configuration
|
||||
from freqtrade.exceptions import OperationalException
|
||||
from freqtrade.state import RunMode
|
||||
@ -666,6 +666,39 @@ def test_start_list_strategies(mocker, caplog, capsys):
|
||||
assert "DefaultStrategy" in captured.out
|
||||
|
||||
|
||||
def test_start_list_hyperopts(mocker, caplog, capsys):
|
||||
|
||||
args = [
|
||||
"list-hyperopts",
|
||||
"--hyperopt-path",
|
||||
str(Path(__file__).parent.parent / "optimize"),
|
||||
"-1"
|
||||
]
|
||||
pargs = get_args(args)
|
||||
# pargs['config'] = None
|
||||
start_list_hyperopts(pargs)
|
||||
captured = capsys.readouterr()
|
||||
assert "TestHyperoptLegacy" not in captured.out
|
||||
assert "legacy_hyperopt.py" not in captured.out
|
||||
assert "DefaultHyperOpt" in captured.out
|
||||
assert "test_hyperopt.py" not in captured.out
|
||||
|
||||
# Test regular output
|
||||
args = [
|
||||
"list-hyperopts",
|
||||
"--hyperopt-path",
|
||||
str(Path(__file__).parent.parent / "optimize"),
|
||||
]
|
||||
pargs = get_args(args)
|
||||
# pargs['config'] = None
|
||||
start_list_hyperopts(pargs)
|
||||
captured = capsys.readouterr()
|
||||
assert "TestHyperoptLegacy" not in captured.out
|
||||
assert "legacy_hyperopt.py" not in captured.out
|
||||
assert "DefaultHyperOpt" in captured.out
|
||||
assert "test_hyperopt.py" in captured.out
|
||||
|
||||
|
||||
def test_start_test_pairlist(mocker, caplog, tickers, default_conf, capsys):
|
||||
patch_exchange(mocker, mock_markets=True)
|
||||
mocker.patch.multiple('freqtrade.exchange.Exchange',
|
||||
|
||||
@ -640,6 +640,31 @@ def shitcoinmarkets(markets):
|
||||
},
|
||||
'info': {},
|
||||
},
|
||||
'NANO/USDT': {
|
||||
"percentage": True,
|
||||
"tierBased": False,
|
||||
"taker": 0.001,
|
||||
"maker": 0.001,
|
||||
"precision": {
|
||||
"base": 8,
|
||||
"quote": 8,
|
||||
"amount": 2,
|
||||
"price": 4
|
||||
},
|
||||
"limits": {
|
||||
},
|
||||
"id": "NANOUSDT",
|
||||
"symbol": "NANO/USDT",
|
||||
"base": "NANO",
|
||||
"quote": "USDT",
|
||||
"baseId": "NANO",
|
||||
"quoteId": "USDT",
|
||||
"info": {},
|
||||
"type": "spot",
|
||||
"spot": True,
|
||||
"future": False,
|
||||
"active": True
|
||||
},
|
||||
})
|
||||
return shitmarkets
|
||||
|
||||
@ -1114,6 +1139,28 @@ def tickers():
|
||||
'quoteVolume': 1154.19266394,
|
||||
'info': {}
|
||||
},
|
||||
"NANO/USDT": {
|
||||
"symbol": "NANO/USDT",
|
||||
"timestamp": 1580469388244,
|
||||
"datetime": "2020-01-31T11:16:28.244Z",
|
||||
"high": 0.7519,
|
||||
"low": 0.7154,
|
||||
"bid": 0.7305,
|
||||
"bidVolume": 300.3,
|
||||
"ask": 0.7342,
|
||||
"askVolume": 15.14,
|
||||
"vwap": 0.73645591,
|
||||
"open": 0.7154,
|
||||
"close": 0.7342,
|
||||
"last": 0.7342,
|
||||
"previousClose": 0.7189,
|
||||
"change": 0.0188,
|
||||
"percentage": 2.628,
|
||||
"average": None,
|
||||
"baseVolume": 439472.44,
|
||||
"quoteVolume": 323652.075405,
|
||||
"info": {}
|
||||
},
|
||||
})
|
||||
|
||||
|
||||
|
||||
@ -163,8 +163,8 @@ def test_edge_results(edge_conf, mocker, caplog, data) -> None:
|
||||
for c, trade in enumerate(data.trades):
|
||||
res = results.iloc[c]
|
||||
assert res.exit_type == trade.sell_reason
|
||||
assert arrow.get(res.open_time) == _get_frame_time_from_offset(trade.open_tick)
|
||||
assert arrow.get(res.close_time) == _get_frame_time_from_offset(trade.close_tick)
|
||||
assert res.open_time == np.datetime64(_get_frame_time_from_offset(trade.open_tick))
|
||||
assert res.close_time == np.datetime64(_get_frame_time_from_offset(trade.close_tick))
|
||||
|
||||
|
||||
def test_adjust(mocker, edge_conf):
|
||||
|
||||
@ -9,7 +9,7 @@ from freqtrade.exceptions import (DependencyException, InvalidOrderException,
|
||||
from tests.conftest import get_patched_exchange
|
||||
|
||||
|
||||
def test_stoploss_limit_order(default_conf, mocker):
|
||||
def test_stoploss_order_binance(default_conf, mocker):
|
||||
api_mock = MagicMock()
|
||||
order_id = 'test_prod_buy_{}'.format(randint(0, 10 ** 6))
|
||||
order_type = 'stop_loss_limit'
|
||||
@ -28,46 +28,47 @@ def test_stoploss_limit_order(default_conf, mocker):
|
||||
exchange = get_patched_exchange(mocker, default_conf, api_mock, 'binance')
|
||||
|
||||
with pytest.raises(OperationalException):
|
||||
order = exchange.stoploss_limit(pair='ETH/BTC', amount=1, stop_price=190, rate=200)
|
||||
order = exchange.stoploss(pair='ETH/BTC', amount=1, stop_price=190,
|
||||
order_types={'stoploss_on_exchange_limit_ratio': 1.05})
|
||||
|
||||
api_mock.create_order.reset_mock()
|
||||
|
||||
order = exchange.stoploss_limit(pair='ETH/BTC', amount=1, stop_price=220, rate=200)
|
||||
order = exchange.stoploss(pair='ETH/BTC', amount=1, stop_price=220, order_types={})
|
||||
|
||||
assert 'id' in order
|
||||
assert 'info' in order
|
||||
assert order['id'] == order_id
|
||||
assert api_mock.create_order.call_args[0][0] == 'ETH/BTC'
|
||||
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
|
||||
assert api_mock.create_order.call_args[0][4] == 200
|
||||
assert api_mock.create_order.call_args[0][5] == {'stopPrice': 220}
|
||||
assert api_mock.create_order.call_args_list[0][1]['symbol'] == 'ETH/BTC'
|
||||
assert api_mock.create_order.call_args_list[0][1]['type'] == order_type
|
||||
assert api_mock.create_order.call_args_list[0][1]['side'] == 'sell'
|
||||
assert api_mock.create_order.call_args_list[0][1]['amount'] == 1
|
||||
assert api_mock.create_order.call_args_list[0][1]['price'] == 220
|
||||
assert api_mock.create_order.call_args_list[0][1]['params'] == {'stopPrice': 220}
|
||||
|
||||
# test exception handling
|
||||
with pytest.raises(DependencyException):
|
||||
api_mock.create_order = MagicMock(side_effect=ccxt.InsufficientFunds("0 balance"))
|
||||
exchange = get_patched_exchange(mocker, default_conf, api_mock, 'binance')
|
||||
exchange.stoploss_limit(pair='ETH/BTC', amount=1, stop_price=220, rate=200)
|
||||
exchange.stoploss(pair='ETH/BTC', amount=1, stop_price=220, order_types={})
|
||||
|
||||
with pytest.raises(InvalidOrderException):
|
||||
api_mock.create_order = MagicMock(
|
||||
side_effect=ccxt.InvalidOrder("binance Order would trigger immediately."))
|
||||
exchange = get_patched_exchange(mocker, default_conf, api_mock, 'binance')
|
||||
exchange.stoploss_limit(pair='ETH/BTC', amount=1, stop_price=220, rate=200)
|
||||
exchange.stoploss(pair='ETH/BTC', amount=1, stop_price=220, order_types={})
|
||||
|
||||
with pytest.raises(TemporaryError):
|
||||
api_mock.create_order = MagicMock(side_effect=ccxt.NetworkError("No connection"))
|
||||
exchange = get_patched_exchange(mocker, default_conf, api_mock, 'binance')
|
||||
exchange.stoploss_limit(pair='ETH/BTC', amount=1, stop_price=220, rate=200)
|
||||
exchange.stoploss(pair='ETH/BTC', amount=1, stop_price=220, order_types={})
|
||||
|
||||
with pytest.raises(OperationalException, match=r".*DeadBeef.*"):
|
||||
api_mock.create_order = MagicMock(side_effect=ccxt.BaseError("DeadBeef"))
|
||||
exchange = get_patched_exchange(mocker, default_conf, api_mock, 'binance')
|
||||
exchange.stoploss_limit(pair='ETH/BTC', amount=1, stop_price=220, rate=200)
|
||||
exchange.stoploss(pair='ETH/BTC', amount=1, stop_price=220, order_types={})
|
||||
|
||||
|
||||
def test_stoploss_limit_order_dry_run(default_conf, mocker):
|
||||
def test_stoploss_order_dry_run_binance(default_conf, mocker):
|
||||
api_mock = MagicMock()
|
||||
order_type = 'stop_loss_limit'
|
||||
default_conf['dry_run'] = True
|
||||
@ -77,11 +78,12 @@ def test_stoploss_limit_order_dry_run(default_conf, mocker):
|
||||
exchange = get_patched_exchange(mocker, default_conf, api_mock, 'binance')
|
||||
|
||||
with pytest.raises(OperationalException):
|
||||
order = exchange.stoploss_limit(pair='ETH/BTC', amount=1, stop_price=190, rate=200)
|
||||
order = exchange.stoploss(pair='ETH/BTC', amount=1, stop_price=190,
|
||||
order_types={'stoploss_on_exchange_limit_ratio': 1.05})
|
||||
|
||||
api_mock.create_order.reset_mock()
|
||||
|
||||
order = exchange.stoploss_limit(pair='ETH/BTC', amount=1, stop_price=220, rate=200)
|
||||
order = exchange.stoploss(pair='ETH/BTC', amount=1, stop_price=220, order_types={})
|
||||
|
||||
assert 'id' in order
|
||||
assert 'info' in order
|
||||
@ -90,3 +92,17 @@ def test_stoploss_limit_order_dry_run(default_conf, mocker):
|
||||
assert order['type'] == order_type
|
||||
assert order['price'] == 220
|
||||
assert order['amount'] == 1
|
||||
|
||||
|
||||
def test_stoploss_adjust_binance(mocker, default_conf):
|
||||
exchange = get_patched_exchange(mocker, default_conf, id='binance')
|
||||
order = {
|
||||
'type': 'stop_loss_limit',
|
||||
'price': 1500,
|
||||
'info': {'stopPrice': 1500},
|
||||
}
|
||||
assert exchange.stoploss_adjust(1501, order)
|
||||
assert not exchange.stoploss_adjust(1499, order)
|
||||
# Test with invalid order case
|
||||
order['type'] = 'stop_loss'
|
||||
assert not exchange.stoploss_adjust(1501, order)
|
||||
|
||||
@ -76,9 +76,11 @@ def test_init_ccxt_kwargs(default_conf, mocker, caplog):
|
||||
mocker.patch('freqtrade.exchange.Exchange.validate_stakecurrency')
|
||||
caplog.set_level(logging.INFO)
|
||||
conf = copy.deepcopy(default_conf)
|
||||
conf['exchange']['ccxt_async_config'] = {'aiohttp_trust_env': True}
|
||||
conf['exchange']['ccxt_async_config'] = {'aiohttp_trust_env': True, 'asyncio_loop': True}
|
||||
ex = Exchange(conf)
|
||||
assert log_has("Applying additional ccxt config: {'aiohttp_trust_env': True}", caplog)
|
||||
assert log_has(
|
||||
"Applying additional ccxt config: {'aiohttp_trust_env': True, 'asyncio_loop': True}",
|
||||
caplog)
|
||||
assert ex._api_async.aiohttp_trust_env
|
||||
assert not ex._api.aiohttp_trust_env
|
||||
|
||||
@ -86,6 +88,8 @@ def test_init_ccxt_kwargs(default_conf, mocker, caplog):
|
||||
caplog.clear()
|
||||
conf = copy.deepcopy(default_conf)
|
||||
conf['exchange']['ccxt_config'] = {'TestKWARG': 11}
|
||||
conf['exchange']['ccxt_async_config'] = {'asyncio_loop': True}
|
||||
|
||||
ex = Exchange(conf)
|
||||
assert not log_has("Applying additional ccxt config: {'aiohttp_trust_env': True}", caplog)
|
||||
assert not ex._api_async.aiohttp_trust_env
|
||||
@ -1758,10 +1762,13 @@ def test_get_fee(default_conf, mocker, exchange_name):
|
||||
'get_fee', 'calculate_fee', symbol="ETH/BTC")
|
||||
|
||||
|
||||
def test_stoploss_limit_order_unsupported_exchange(default_conf, mocker):
|
||||
def test_stoploss_order_unsupported_exchange(default_conf, mocker):
|
||||
exchange = get_patched_exchange(mocker, default_conf, 'bittrex')
|
||||
with pytest.raises(OperationalException, match=r"stoploss_limit is not implemented .*"):
|
||||
exchange.stoploss_limit(pair='ETH/BTC', amount=1, stop_price=220, rate=200)
|
||||
with pytest.raises(OperationalException, match=r"stoploss is not implemented .*"):
|
||||
exchange.stoploss(pair='ETH/BTC', amount=1, stop_price=220, order_types={})
|
||||
|
||||
with pytest.raises(OperationalException, match=r"stoploss is not implemented .*"):
|
||||
exchange.stoploss_adjust(1, {})
|
||||
|
||||
|
||||
def test_merge_ft_has_dict(default_conf, mocker):
|
||||
|
||||
@ -3,6 +3,11 @@
|
||||
from random import randint
|
||||
from unittest.mock import MagicMock
|
||||
|
||||
import ccxt
|
||||
import pytest
|
||||
|
||||
from freqtrade.exceptions import (DependencyException, InvalidOrderException,
|
||||
OperationalException, TemporaryError)
|
||||
from tests.conftest import get_patched_exchange
|
||||
from tests.exchange.test_exchange import ccxt_exceptionhandlers
|
||||
|
||||
@ -149,3 +154,98 @@ def test_get_balances_prod(default_conf, mocker):
|
||||
assert balances['4ST']['used'] == 0.0
|
||||
ccxt_exceptionhandlers(mocker, default_conf, api_mock, "kraken",
|
||||
"get_balances", "fetch_balance")
|
||||
|
||||
|
||||
def test_stoploss_order_kraken(default_conf, mocker):
|
||||
api_mock = MagicMock()
|
||||
order_id = 'test_prod_buy_{}'.format(randint(0, 10 ** 6))
|
||||
order_type = 'stop-loss'
|
||||
|
||||
api_mock.create_order = MagicMock(return_value={
|
||||
'id': order_id,
|
||||
'info': {
|
||||
'foo': 'bar'
|
||||
}
|
||||
})
|
||||
|
||||
default_conf['dry_run'] = False
|
||||
mocker.patch('freqtrade.exchange.Exchange.amount_to_precision', lambda s, x, y: y)
|
||||
mocker.patch('freqtrade.exchange.Exchange.price_to_precision', lambda s, x, y: y)
|
||||
|
||||
exchange = get_patched_exchange(mocker, default_conf, api_mock, 'kraken')
|
||||
|
||||
# stoploss_on_exchange_limit_ratio is irrelevant for kraken market orders
|
||||
order = exchange.stoploss(pair='ETH/BTC', amount=1, stop_price=190,
|
||||
order_types={'stoploss_on_exchange_limit_ratio': 1.05})
|
||||
assert api_mock.create_order.call_count == 1
|
||||
|
||||
api_mock.create_order.reset_mock()
|
||||
|
||||
order = exchange.stoploss(pair='ETH/BTC', amount=1, stop_price=220, order_types={})
|
||||
|
||||
assert 'id' in order
|
||||
assert 'info' in order
|
||||
assert order['id'] == order_id
|
||||
assert api_mock.create_order.call_args_list[0][1]['symbol'] == 'ETH/BTC'
|
||||
assert api_mock.create_order.call_args_list[0][1]['type'] == order_type
|
||||
assert api_mock.create_order.call_args_list[0][1]['side'] == 'sell'
|
||||
assert api_mock.create_order.call_args_list[0][1]['amount'] == 1
|
||||
assert api_mock.create_order.call_args_list[0][1]['price'] == 220
|
||||
assert api_mock.create_order.call_args_list[0][1]['params'] == {'trading_agreement': 'agree'}
|
||||
|
||||
# test exception handling
|
||||
with pytest.raises(DependencyException):
|
||||
api_mock.create_order = MagicMock(side_effect=ccxt.InsufficientFunds("0 balance"))
|
||||
exchange = get_patched_exchange(mocker, default_conf, api_mock, 'kraken')
|
||||
exchange.stoploss(pair='ETH/BTC', amount=1, stop_price=220, order_types={})
|
||||
|
||||
with pytest.raises(InvalidOrderException):
|
||||
api_mock.create_order = MagicMock(
|
||||
side_effect=ccxt.InvalidOrder("kraken Order would trigger immediately."))
|
||||
exchange = get_patched_exchange(mocker, default_conf, api_mock, 'kraken')
|
||||
exchange.stoploss(pair='ETH/BTC', amount=1, stop_price=220, order_types={})
|
||||
|
||||
with pytest.raises(TemporaryError):
|
||||
api_mock.create_order = MagicMock(side_effect=ccxt.NetworkError("No connection"))
|
||||
exchange = get_patched_exchange(mocker, default_conf, api_mock, 'kraken')
|
||||
exchange.stoploss(pair='ETH/BTC', amount=1, stop_price=220, order_types={})
|
||||
|
||||
with pytest.raises(OperationalException, match=r".*DeadBeef.*"):
|
||||
api_mock.create_order = MagicMock(side_effect=ccxt.BaseError("DeadBeef"))
|
||||
exchange = get_patched_exchange(mocker, default_conf, api_mock, 'kraken')
|
||||
exchange.stoploss(pair='ETH/BTC', amount=1, stop_price=220, order_types={})
|
||||
|
||||
|
||||
def test_stoploss_order_dry_run_kraken(default_conf, mocker):
|
||||
api_mock = MagicMock()
|
||||
order_type = 'stop-loss'
|
||||
default_conf['dry_run'] = True
|
||||
mocker.patch('freqtrade.exchange.Exchange.amount_to_precision', lambda s, x, y: y)
|
||||
mocker.patch('freqtrade.exchange.Exchange.price_to_precision', lambda s, x, y: y)
|
||||
|
||||
exchange = get_patched_exchange(mocker, default_conf, api_mock, 'kraken')
|
||||
|
||||
api_mock.create_order.reset_mock()
|
||||
|
||||
order = exchange.stoploss(pair='ETH/BTC', amount=1, stop_price=220, order_types={})
|
||||
|
||||
assert 'id' in order
|
||||
assert 'info' in order
|
||||
assert 'type' in order
|
||||
|
||||
assert order['type'] == order_type
|
||||
assert order['price'] == 220
|
||||
assert order['amount'] == 1
|
||||
|
||||
|
||||
def test_stoploss_adjust_kraken(mocker, default_conf):
|
||||
exchange = get_patched_exchange(mocker, default_conf, id='kraken')
|
||||
order = {
|
||||
'type': 'stop-loss',
|
||||
'price': 1500,
|
||||
}
|
||||
assert exchange.stoploss_adjust(1501, order)
|
||||
assert not exchange.stoploss_adjust(1499, order)
|
||||
# Test with invalid order case ...
|
||||
order['type'] = 'stop_loss_limit'
|
||||
assert not exchange.stoploss_adjust(1501, order)
|
||||
|
||||
@ -42,7 +42,13 @@ def hyperopt_results():
|
||||
'profit_percent': [-0.1, 0.2, 0.3],
|
||||
'profit_abs': [-0.2, 0.4, 0.6],
|
||||
'trade_duration': [10, 30, 10],
|
||||
'sell_reason': [SellType.STOP_LOSS, SellType.ROI, SellType.ROI]
|
||||
'sell_reason': [SellType.STOP_LOSS, SellType.ROI, SellType.ROI],
|
||||
'close_time':
|
||||
[
|
||||
datetime(2019, 1, 1, 9, 26, 3, 478039),
|
||||
datetime(2019, 2, 1, 9, 26, 3, 478039),
|
||||
datetime(2019, 3, 1, 9, 26, 3, 478039)
|
||||
]
|
||||
}
|
||||
)
|
||||
|
||||
@ -336,6 +342,24 @@ def test_sharpe_loss_prefers_higher_profits(default_conf, hyperopt_results) -> N
|
||||
assert under > correct
|
||||
|
||||
|
||||
def test_sharpe_loss_daily_prefers_higher_profits(default_conf, hyperopt_results) -> None:
|
||||
results_over = hyperopt_results.copy()
|
||||
results_over['profit_percent'] = hyperopt_results['profit_percent'] * 2
|
||||
results_under = hyperopt_results.copy()
|
||||
results_under['profit_percent'] = hyperopt_results['profit_percent'] / 2
|
||||
|
||||
default_conf.update({'hyperopt_loss': 'SharpeHyperOptLossDaily'})
|
||||
hl = HyperOptLossResolver.load_hyperoptloss(default_conf)
|
||||
correct = hl.hyperopt_loss_function(hyperopt_results, len(hyperopt_results),
|
||||
datetime(2019, 1, 1), datetime(2019, 5, 1))
|
||||
over = hl.hyperopt_loss_function(results_over, len(hyperopt_results),
|
||||
datetime(2019, 1, 1), datetime(2019, 5, 1))
|
||||
under = hl.hyperopt_loss_function(results_under, len(hyperopt_results),
|
||||
datetime(2019, 1, 1), datetime(2019, 5, 1))
|
||||
assert over < correct
|
||||
assert under > correct
|
||||
|
||||
|
||||
def test_onlyprofit_loss_prefers_higher_profits(default_conf, hyperopt_results) -> None:
|
||||
results_over = hyperopt_results.copy()
|
||||
results_over['profit_percent'] = hyperopt_results['profit_percent'] * 2
|
||||
|
||||
@ -15,20 +15,21 @@ def test_generate_text_table(default_conf, mocker):
|
||||
'profit_percent': [0.1, 0.2],
|
||||
'profit_abs': [0.2, 0.4],
|
||||
'trade_duration': [10, 30],
|
||||
'profit': [2, 0],
|
||||
'loss': [0, 0]
|
||||
'wins': [2, 0],
|
||||
'draws': [0, 0],
|
||||
'losses': [0, 0]
|
||||
}
|
||||
)
|
||||
|
||||
result_str = (
|
||||
'| pair | buy count | avg profit % | cum profit % | '
|
||||
'tot profit BTC | tot profit % | avg duration | profit | loss |\n'
|
||||
'|:--------|------------:|---------------:|---------------:|'
|
||||
'-----------------:|---------------:|:---------------|---------:|-------:|\n'
|
||||
'| ETH/BTC | 2 | 15.00 | 30.00 | '
|
||||
'0.60000000 | 15.00 | 0:20:00 | 2 | 0 |\n'
|
||||
'| TOTAL | 2 | 15.00 | 30.00 | '
|
||||
'0.60000000 | 15.00 | 0:20:00 | 2 | 0 |'
|
||||
'| Pair | Buys | Avg Profit % | Cum Profit % | Tot Profit BTC |'
|
||||
' Tot Profit % | Avg Duration | Wins | Draws | Losses |\n'
|
||||
'|:--------|-------:|---------------:|---------------:|-----------------:|'
|
||||
'---------------:|:---------------|-------:|--------:|---------:|\n'
|
||||
'| ETH/BTC | 2 | 15.00 | 30.00 | 0.60000000 |'
|
||||
' 15.00 | 0:20:00 | 2 | 0 | 0 |\n'
|
||||
'| TOTAL | 2 | 15.00 | 30.00 | 0.60000000 |'
|
||||
' 15.00 | 0:20:00 | 2 | 0 | 0 |'
|
||||
)
|
||||
assert generate_text_table(data={'ETH/BTC': {}},
|
||||
stake_currency='BTC', max_open_trades=2,
|
||||
@ -43,56 +44,65 @@ def test_generate_text_table_sell_reason(default_conf, mocker):
|
||||
'profit_percent': [0.1, 0.2, -0.1],
|
||||
'profit_abs': [0.2, 0.4, -0.2],
|
||||
'trade_duration': [10, 30, 10],
|
||||
'profit': [2, 0, 0],
|
||||
'loss': [0, 0, 1],
|
||||
'wins': [2, 0, 0],
|
||||
'draws': [0, 0, 0],
|
||||
'losses': [0, 0, 1],
|
||||
'sell_reason': [SellType.ROI, SellType.ROI, SellType.STOP_LOSS]
|
||||
}
|
||||
)
|
||||
|
||||
result_str = (
|
||||
'| Sell Reason | Count | Profit | Loss | Profit % |\n'
|
||||
'|:--------------|--------:|---------:|-------:|-----------:|\n'
|
||||
'| roi | 2 | 2 | 0 | 15 |\n'
|
||||
'| stop_loss | 1 | 0 | 1 | -10 |'
|
||||
'| Sell Reason | Sells | Wins | Draws | Losses |'
|
||||
' Avg Profit % | Cum Profit % | Tot Profit BTC | Tot Profit % |\n'
|
||||
'|:--------------|--------:|-------:|--------:|---------:|'
|
||||
'---------------:|---------------:|-----------------:|---------------:|\n'
|
||||
'| roi | 2 | 2 | 0 | 0 |'
|
||||
' 15 | 30 | 0.6 | 15 |\n'
|
||||
'| stop_loss | 1 | 0 | 0 | 1 |'
|
||||
' -10 | -10 | -0.2 | -5 |'
|
||||
)
|
||||
assert generate_text_table_sell_reason(
|
||||
data={'ETH/BTC': {}}, results=results) == result_str
|
||||
data={'ETH/BTC': {}},
|
||||
stake_currency='BTC', max_open_trades=2,
|
||||
results=results) == result_str
|
||||
|
||||
|
||||
def test_generate_text_table_strategy(default_conf, mocker):
|
||||
results = {}
|
||||
results['ETH/BTC'] = pd.DataFrame(
|
||||
results['TestStrategy1'] = pd.DataFrame(
|
||||
{
|
||||
'pair': ['ETH/BTC', 'ETH/BTC', 'ETH/BTC'],
|
||||
'profit_percent': [0.1, 0.2, 0.3],
|
||||
'profit_abs': [0.2, 0.4, 0.5],
|
||||
'trade_duration': [10, 30, 10],
|
||||
'profit': [2, 0, 0],
|
||||
'loss': [0, 0, 1],
|
||||
'wins': [2, 0, 0],
|
||||
'draws': [0, 0, 0],
|
||||
'losses': [0, 0, 1],
|
||||
'sell_reason': [SellType.ROI, SellType.ROI, SellType.STOP_LOSS]
|
||||
}
|
||||
)
|
||||
results['LTC/BTC'] = pd.DataFrame(
|
||||
results['TestStrategy2'] = pd.DataFrame(
|
||||
{
|
||||
'pair': ['LTC/BTC', 'LTC/BTC', 'LTC/BTC'],
|
||||
'profit_percent': [0.4, 0.2, 0.3],
|
||||
'profit_abs': [0.4, 0.4, 0.5],
|
||||
'trade_duration': [15, 30, 15],
|
||||
'profit': [4, 1, 0],
|
||||
'loss': [0, 0, 1],
|
||||
'wins': [4, 1, 0],
|
||||
'draws': [0, 0, 0],
|
||||
'losses': [0, 0, 1],
|
||||
'sell_reason': [SellType.ROI, SellType.ROI, SellType.STOP_LOSS]
|
||||
}
|
||||
)
|
||||
|
||||
result_str = (
|
||||
'| Strategy | buy count | avg profit % | cum profit % '
|
||||
'| tot profit BTC | tot profit % | avg duration | profit | loss |\n'
|
||||
'|:-----------|------------:|---------------:|---------------:'
|
||||
'|-----------------:|---------------:|:---------------|---------:|-------:|\n'
|
||||
'| ETH/BTC | 3 | 20.00 | 60.00 '
|
||||
'| 1.10000000 | 30.00 | 0:17:00 | 3 | 0 |\n'
|
||||
'| LTC/BTC | 3 | 30.00 | 90.00 '
|
||||
'| 1.30000000 | 45.00 | 0:20:00 | 3 | 0 |'
|
||||
'| Strategy | Buys | Avg Profit % | Cum Profit % | Tot'
|
||||
' Profit BTC | Tot Profit % | Avg Duration | Wins | Draws | Losses |\n'
|
||||
'|:--------------|-------:|---------------:|---------------:|------'
|
||||
'-----------:|---------------:|:---------------|-------:|--------:|---------:|\n'
|
||||
'| TestStrategy1 | 3 | 20.00 | 60.00 | '
|
||||
' 1.10000000 | 30.00 | 0:17:00 | 3 | 0 | 0 |\n'
|
||||
'| TestStrategy2 | 3 | 30.00 | 90.00 | '
|
||||
' 1.30000000 | 45.00 | 0:20:00 | 3 | 0 | 0 |'
|
||||
)
|
||||
assert generate_text_table_strategy('BTC', 2, all_results=results) == result_str
|
||||
|
||||
@ -105,4 +115,4 @@ def test_generate_edge_table(edge_conf, mocker):
|
||||
assert generate_edge_table(results).count(':|') == 7
|
||||
assert generate_edge_table(results).count('| ETH/BTC |') == 1
|
||||
assert generate_edge_table(results).count(
|
||||
'| risk reward ratio | required risk reward | expectancy |') == 1
|
||||
'| Risk Reward Ratio | Required Risk Reward | Expectancy |') == 1
|
||||
|
||||
@ -141,7 +141,7 @@ def test_VolumePairList_refresh_empty(mocker, markets_empty, whitelist_conf):
|
||||
([{"method": "VolumePairList", "number_assets": 5, "sort_key": "bidVolume"}],
|
||||
"BTC", ['HOT/BTC', 'FUEL/BTC', 'XRP/BTC', 'LTC/BTC', 'TKN/BTC']),
|
||||
([{"method": "VolumePairList", "number_assets": 5, "sort_key": "quoteVolume"}],
|
||||
"USDT", ['ETH/USDT']),
|
||||
"USDT", ['ETH/USDT', 'NANO/USDT']),
|
||||
# No pair for ETH ...
|
||||
([{"method": "VolumePairList", "number_assets": 5, "sort_key": "quoteVolume"}],
|
||||
"ETH", []),
|
||||
@ -160,6 +160,10 @@ def test_VolumePairList_refresh_empty(mocker, markets_empty, whitelist_conf):
|
||||
{"method": "PrecisionFilter"},
|
||||
{"method": "PriceFilter", "low_price_ratio": 0.02}
|
||||
], "BTC", ['ETH/BTC', 'TKN/BTC', 'LTC/BTC', 'XRP/BTC']),
|
||||
# HOT and XRP are removed because below 1250 quoteVolume
|
||||
([{"method": "VolumePairList", "number_assets": 5,
|
||||
"sort_key": "quoteVolume", "min_value": 1250}],
|
||||
"BTC", ['ETH/BTC', 'TKN/BTC', 'LTC/BTC']),
|
||||
# StaticPairlist Only
|
||||
([{"method": "StaticPairList"},
|
||||
], "BTC", ['ETH/BTC', 'TKN/BTC']),
|
||||
@ -167,6 +171,10 @@ def test_VolumePairList_refresh_empty(mocker, markets_empty, whitelist_conf):
|
||||
([{"method": "StaticPairList"},
|
||||
{"method": "VolumePairList", "number_assets": 5, "sort_key": "bidVolume"},
|
||||
], "BTC", ['TKN/BTC', 'ETH/BTC']),
|
||||
# SpreadFilter
|
||||
([{"method": "VolumePairList", "number_assets": 5, "sort_key": "quoteVolume"},
|
||||
{"method": "SpreadFilter", "max_spread": 0.005}
|
||||
], "USDT", ['ETH/USDT']),
|
||||
])
|
||||
def test_VolumePairList_whitelist_gen(mocker, whitelist_conf, shitcoinmarkets, tickers,
|
||||
pairlists, base_currency, whitelist_result,
|
||||
|
||||
@ -797,10 +797,10 @@ def test_process_operational_exception(default_conf, ticker, mocker) -> None:
|
||||
worker = Worker(args=None, config=default_conf)
|
||||
patch_get_signal(worker.freqtrade)
|
||||
|
||||
assert worker.state == State.RUNNING
|
||||
assert worker.freqtrade.state == State.RUNNING
|
||||
|
||||
worker._process()
|
||||
assert worker.state == State.STOPPED
|
||||
assert worker.freqtrade.state == State.STOPPED
|
||||
assert 'OperationalException' in msg_mock.call_args_list[-1][0][0]['status']
|
||||
|
||||
|
||||
@ -1023,8 +1023,8 @@ def test_add_stoploss_on_exchange(mocker, default_conf, limit_buy_order) -> None
|
||||
mocker.patch('freqtrade.freqtradebot.FreqtradeBot.get_real_amount',
|
||||
return_value=limit_buy_order['amount'])
|
||||
|
||||
stoploss_limit = MagicMock(return_value={'id': 13434334})
|
||||
mocker.patch('freqtrade.exchange.Exchange.stoploss_limit', stoploss_limit)
|
||||
stoploss = MagicMock(return_value={'id': 13434334})
|
||||
mocker.patch('freqtrade.exchange.Exchange.stoploss', stoploss)
|
||||
|
||||
freqtrade = FreqtradeBot(default_conf)
|
||||
freqtrade.strategy.order_types['stoploss_on_exchange'] = True
|
||||
@ -1037,13 +1037,13 @@ def test_add_stoploss_on_exchange(mocker, default_conf, limit_buy_order) -> None
|
||||
|
||||
freqtrade.exit_positions(trades)
|
||||
assert trade.stoploss_order_id == '13434334'
|
||||
assert stoploss_limit.call_count == 1
|
||||
assert stoploss.call_count == 1
|
||||
assert trade.is_open is True
|
||||
|
||||
|
||||
def test_handle_stoploss_on_exchange(mocker, default_conf, fee, caplog,
|
||||
limit_buy_order, limit_sell_order) -> None:
|
||||
stoploss_limit = MagicMock(return_value={'id': 13434334})
|
||||
stoploss = MagicMock(return_value={'id': 13434334})
|
||||
patch_RPCManager(mocker)
|
||||
patch_exchange(mocker)
|
||||
mocker.patch.multiple(
|
||||
@ -1056,7 +1056,7 @@ def test_handle_stoploss_on_exchange(mocker, default_conf, fee, caplog,
|
||||
buy=MagicMock(return_value={'id': limit_buy_order['id']}),
|
||||
sell=MagicMock(return_value={'id': limit_sell_order['id']}),
|
||||
get_fee=fee,
|
||||
stoploss_limit=stoploss_limit
|
||||
stoploss=stoploss
|
||||
)
|
||||
freqtrade = FreqtradeBot(default_conf)
|
||||
patch_get_signal(freqtrade)
|
||||
@ -1070,7 +1070,7 @@ def test_handle_stoploss_on_exchange(mocker, default_conf, fee, caplog,
|
||||
trade.stoploss_order_id = None
|
||||
|
||||
assert freqtrade.handle_stoploss_on_exchange(trade) is False
|
||||
assert stoploss_limit.call_count == 1
|
||||
assert stoploss.call_count == 1
|
||||
assert trade.stoploss_order_id == "13434334"
|
||||
|
||||
# Second case: when stoploss is set but it is not yet hit
|
||||
@ -1094,10 +1094,10 @@ def test_handle_stoploss_on_exchange(mocker, default_conf, fee, caplog,
|
||||
|
||||
canceled_stoploss_order = MagicMock(return_value={'status': 'canceled'})
|
||||
mocker.patch('freqtrade.exchange.Exchange.get_order', canceled_stoploss_order)
|
||||
stoploss_limit.reset_mock()
|
||||
stoploss.reset_mock()
|
||||
|
||||
assert freqtrade.handle_stoploss_on_exchange(trade) is False
|
||||
assert stoploss_limit.call_count == 1
|
||||
assert stoploss.call_count == 1
|
||||
assert trade.stoploss_order_id == "13434334"
|
||||
|
||||
# Fourth case: when stoploss is set and it is hit
|
||||
@ -1124,9 +1124,10 @@ def test_handle_stoploss_on_exchange(mocker, default_conf, fee, caplog,
|
||||
assert trade.is_open is False
|
||||
|
||||
mocker.patch(
|
||||
'freqtrade.exchange.Exchange.stoploss_limit',
|
||||
'freqtrade.exchange.Exchange.stoploss',
|
||||
side_effect=DependencyException()
|
||||
)
|
||||
trade.is_open = True
|
||||
freqtrade.handle_stoploss_on_exchange(trade)
|
||||
assert log_has('Unable to place a stoploss order on exchange.', caplog)
|
||||
assert trade.stoploss_order_id is None
|
||||
@ -1134,11 +1135,21 @@ def test_handle_stoploss_on_exchange(mocker, default_conf, fee, caplog,
|
||||
# Fifth case: get_order returns InvalidOrder
|
||||
# It should try to add stoploss order
|
||||
trade.stoploss_order_id = 100
|
||||
stoploss_limit.reset_mock()
|
||||
stoploss.reset_mock()
|
||||
mocker.patch('freqtrade.exchange.Exchange.get_order', side_effect=InvalidOrderException())
|
||||
mocker.patch('freqtrade.exchange.Exchange.stoploss_limit', stoploss_limit)
|
||||
mocker.patch('freqtrade.exchange.Exchange.stoploss', stoploss)
|
||||
freqtrade.handle_stoploss_on_exchange(trade)
|
||||
assert stoploss_limit.call_count == 1
|
||||
assert stoploss.call_count == 1
|
||||
|
||||
# Sixth case: Closed Trade
|
||||
# Should not create new order
|
||||
trade.stoploss_order_id = None
|
||||
trade.is_open = False
|
||||
stoploss.reset_mock()
|
||||
mocker.patch('freqtrade.exchange.Exchange.get_order')
|
||||
mocker.patch('freqtrade.exchange.Exchange.stoploss', stoploss)
|
||||
assert freqtrade.handle_stoploss_on_exchange(trade) is False
|
||||
assert stoploss.call_count == 0
|
||||
|
||||
|
||||
def test_handle_sle_cancel_cant_recreate(mocker, default_conf, fee, caplog,
|
||||
@ -1157,7 +1168,7 @@ def test_handle_sle_cancel_cant_recreate(mocker, default_conf, fee, caplog,
|
||||
sell=MagicMock(return_value={'id': limit_sell_order['id']}),
|
||||
get_fee=fee,
|
||||
get_order=MagicMock(return_value={'status': 'canceled'}),
|
||||
stoploss_limit=MagicMock(side_effect=DependencyException()),
|
||||
stoploss=MagicMock(side_effect=DependencyException()),
|
||||
)
|
||||
freqtrade = FreqtradeBot(default_conf)
|
||||
patch_get_signal(freqtrade)
|
||||
@ -1165,7 +1176,7 @@ def test_handle_sle_cancel_cant_recreate(mocker, default_conf, fee, caplog,
|
||||
freqtrade.enter_positions()
|
||||
trade = Trade.query.first()
|
||||
trade.is_open = True
|
||||
trade.open_order_id = '12345'
|
||||
trade.open_order_id = None
|
||||
trade.stoploss_order_id = 100
|
||||
assert trade
|
||||
|
||||
@ -1191,7 +1202,7 @@ def test_create_stoploss_order_invalid_order(mocker, default_conf, caplog, fee,
|
||||
sell=sell_mock,
|
||||
get_fee=fee,
|
||||
get_order=MagicMock(return_value={'status': 'canceled'}),
|
||||
stoploss_limit=MagicMock(side_effect=InvalidOrderException()),
|
||||
stoploss=MagicMock(side_effect=InvalidOrderException()),
|
||||
)
|
||||
freqtrade = FreqtradeBot(default_conf)
|
||||
patch_get_signal(freqtrade)
|
||||
@ -1221,7 +1232,7 @@ def test_create_stoploss_order_invalid_order(mocker, default_conf, caplog, fee,
|
||||
def test_handle_stoploss_on_exchange_trailing(mocker, default_conf, fee, caplog,
|
||||
limit_buy_order, limit_sell_order) -> None:
|
||||
# When trailing stoploss is set
|
||||
stoploss_limit = MagicMock(return_value={'id': 13434334})
|
||||
stoploss = MagicMock(return_value={'id': 13434334})
|
||||
patch_RPCManager(mocker)
|
||||
mocker.patch.multiple(
|
||||
'freqtrade.exchange.Exchange',
|
||||
@ -1233,7 +1244,8 @@ def test_handle_stoploss_on_exchange_trailing(mocker, default_conf, fee, caplog,
|
||||
buy=MagicMock(return_value={'id': limit_buy_order['id']}),
|
||||
sell=MagicMock(return_value={'id': limit_sell_order['id']}),
|
||||
get_fee=fee,
|
||||
stoploss_limit=stoploss_limit
|
||||
stoploss=stoploss,
|
||||
stoploss_adjust=MagicMock(return_value=True),
|
||||
)
|
||||
|
||||
# enabling TSL
|
||||
@ -1288,7 +1300,7 @@ def test_handle_stoploss_on_exchange_trailing(mocker, default_conf, fee, caplog,
|
||||
cancel_order_mock = MagicMock()
|
||||
stoploss_order_mock = MagicMock()
|
||||
mocker.patch('freqtrade.exchange.Exchange.cancel_order', cancel_order_mock)
|
||||
mocker.patch('freqtrade.exchange.Exchange.stoploss_limit', stoploss_order_mock)
|
||||
mocker.patch('freqtrade.exchange.Exchange.stoploss', stoploss_order_mock)
|
||||
|
||||
# stoploss should not be updated as the interval is 60 seconds
|
||||
assert freqtrade.handle_trade(trade) is False
|
||||
@ -1307,7 +1319,7 @@ def test_handle_stoploss_on_exchange_trailing(mocker, default_conf, fee, caplog,
|
||||
cancel_order_mock.assert_called_once_with(100, 'ETH/BTC')
|
||||
stoploss_order_mock.assert_called_once_with(amount=85.25149190110828,
|
||||
pair='ETH/BTC',
|
||||
rate=0.00002344 * 0.95 * 0.99,
|
||||
order_types=freqtrade.strategy.order_types,
|
||||
stop_price=0.00002344 * 0.95)
|
||||
|
||||
# price fell below stoploss, so dry-run sells trade.
|
||||
@ -1322,7 +1334,7 @@ def test_handle_stoploss_on_exchange_trailing(mocker, default_conf, fee, caplog,
|
||||
def test_handle_stoploss_on_exchange_trailing_error(mocker, default_conf, fee, caplog,
|
||||
limit_buy_order, limit_sell_order) -> None:
|
||||
# When trailing stoploss is set
|
||||
stoploss_limit = MagicMock(return_value={'id': 13434334})
|
||||
stoploss = MagicMock(return_value={'id': 13434334})
|
||||
patch_exchange(mocker)
|
||||
|
||||
mocker.patch.multiple(
|
||||
@ -1335,7 +1347,8 @@ def test_handle_stoploss_on_exchange_trailing_error(mocker, default_conf, fee, c
|
||||
buy=MagicMock(return_value={'id': limit_buy_order['id']}),
|
||||
sell=MagicMock(return_value={'id': limit_sell_order['id']}),
|
||||
get_fee=fee,
|
||||
stoploss_limit=stoploss_limit
|
||||
stoploss=stoploss,
|
||||
stoploss_adjust=MagicMock(return_value=True),
|
||||
)
|
||||
|
||||
# enabling TSL
|
||||
@ -1375,12 +1388,12 @@ def test_handle_stoploss_on_exchange_trailing_error(mocker, default_conf, fee, c
|
||||
assert log_has_re(r"Could not cancel stoploss order abcd for pair ETH/BTC.*", caplog)
|
||||
|
||||
# Still try to create order
|
||||
assert stoploss_limit.call_count == 1
|
||||
assert stoploss.call_count == 1
|
||||
|
||||
# Fail creating stoploss order
|
||||
caplog.clear()
|
||||
cancel_mock = mocker.patch("freqtrade.exchange.Exchange.cancel_order", MagicMock())
|
||||
mocker.patch("freqtrade.exchange.Exchange.stoploss_limit", side_effect=DependencyException())
|
||||
mocker.patch("freqtrade.exchange.Exchange.stoploss", side_effect=DependencyException())
|
||||
freqtrade.handle_trailing_stoploss_on_exchange(trade, stoploss_order_hanging)
|
||||
assert cancel_mock.call_count == 1
|
||||
assert log_has_re(r"Could not create trailing stoploss order for pair ETH/BTC\..*", caplog)
|
||||
@ -1390,12 +1403,13 @@ def test_tsl_on_exchange_compatible_with_edge(mocker, edge_conf, fee, caplog,
|
||||
limit_buy_order, limit_sell_order) -> None:
|
||||
|
||||
# When trailing stoploss is set
|
||||
stoploss_limit = MagicMock(return_value={'id': 13434334})
|
||||
stoploss = MagicMock(return_value={'id': 13434334})
|
||||
patch_RPCManager(mocker)
|
||||
patch_exchange(mocker)
|
||||
patch_edge(mocker)
|
||||
edge_conf['max_open_trades'] = float('inf')
|
||||
edge_conf['dry_run_wallet'] = 999.9
|
||||
edge_conf['exchange']['name'] = 'binance'
|
||||
mocker.patch.multiple(
|
||||
'freqtrade.exchange.Exchange',
|
||||
fetch_ticker=MagicMock(return_value={
|
||||
@ -1406,7 +1420,7 @@ def test_tsl_on_exchange_compatible_with_edge(mocker, edge_conf, fee, caplog,
|
||||
buy=MagicMock(return_value={'id': limit_buy_order['id']}),
|
||||
sell=MagicMock(return_value={'id': limit_sell_order['id']}),
|
||||
get_fee=fee,
|
||||
stoploss_limit=stoploss_limit
|
||||
stoploss=stoploss,
|
||||
)
|
||||
|
||||
# enabling TSL
|
||||
@ -1459,7 +1473,7 @@ def test_tsl_on_exchange_compatible_with_edge(mocker, edge_conf, fee, caplog,
|
||||
cancel_order_mock = MagicMock()
|
||||
stoploss_order_mock = MagicMock()
|
||||
mocker.patch('freqtrade.exchange.Exchange.cancel_order', cancel_order_mock)
|
||||
mocker.patch('freqtrade.exchange.Exchange.stoploss_limit', stoploss_order_mock)
|
||||
mocker.patch('freqtrade.exchange.Binance.stoploss', stoploss_order_mock)
|
||||
|
||||
# price goes down 5%
|
||||
mocker.patch('freqtrade.exchange.Exchange.fetch_ticker', MagicMock(return_value={
|
||||
@ -1492,7 +1506,7 @@ def test_tsl_on_exchange_compatible_with_edge(mocker, edge_conf, fee, caplog,
|
||||
cancel_order_mock.assert_called_once_with(100, 'NEO/BTC')
|
||||
stoploss_order_mock.assert_called_once_with(amount=2131074.168797954,
|
||||
pair='NEO/BTC',
|
||||
rate=0.00002344 * 0.99 * 0.99,
|
||||
order_types=freqtrade.strategy.order_types,
|
||||
stop_price=0.00002344 * 0.99)
|
||||
|
||||
|
||||
@ -2423,7 +2437,7 @@ def test_execute_sell_with_stoploss_on_exchange(default_conf, ticker, fee, ticke
|
||||
default_conf['exchange']['name'] = 'binance'
|
||||
rpc_mock = patch_RPCManager(mocker)
|
||||
patch_exchange(mocker)
|
||||
stoploss_limit = MagicMock(return_value={
|
||||
stoploss = MagicMock(return_value={
|
||||
'id': 123,
|
||||
'info': {
|
||||
'foo': 'bar'
|
||||
@ -2437,7 +2451,7 @@ def test_execute_sell_with_stoploss_on_exchange(default_conf, ticker, fee, ticke
|
||||
get_fee=fee,
|
||||
amount_to_precision=lambda s, x, y: y,
|
||||
price_to_precision=lambda s, x, y: y,
|
||||
stoploss_limit=stoploss_limit,
|
||||
stoploss=stoploss,
|
||||
cancel_order=cancel_order,
|
||||
)
|
||||
|
||||
@ -2482,14 +2496,14 @@ def test_may_execute_sell_after_stoploss_on_exchange_hit(default_conf, ticker, f
|
||||
price_to_precision=lambda s, x, y: y,
|
||||
)
|
||||
|
||||
stoploss_limit = MagicMock(return_value={
|
||||
stoploss = MagicMock(return_value={
|
||||
'id': 123,
|
||||
'info': {
|
||||
'foo': 'bar'
|
||||
}
|
||||
})
|
||||
|
||||
mocker.patch('freqtrade.exchange.Binance.stoploss_limit', stoploss_limit)
|
||||
mocker.patch('freqtrade.exchange.Binance.stoploss', stoploss)
|
||||
|
||||
freqtrade = FreqtradeBot(default_conf)
|
||||
freqtrade.strategy.order_types['stoploss_on_exchange'] = True
|
||||
@ -2507,7 +2521,7 @@ def test_may_execute_sell_after_stoploss_on_exchange_hit(default_conf, ticker, f
|
||||
# Assuming stoploss on exchnage is hit
|
||||
# stoploss_order_id should become None
|
||||
# and trade should be sold at the price of stoploss
|
||||
stoploss_limit_executed = MagicMock(return_value={
|
||||
stoploss_executed = MagicMock(return_value={
|
||||
"id": "123",
|
||||
"timestamp": 1542707426845,
|
||||
"datetime": "2018-11-20T09:50:26.845Z",
|
||||
@ -2525,7 +2539,7 @@ def test_may_execute_sell_after_stoploss_on_exchange_hit(default_conf, ticker, f
|
||||
"fee": None,
|
||||
"trades": None
|
||||
})
|
||||
mocker.patch('freqtrade.exchange.Exchange.get_order', stoploss_limit_executed)
|
||||
mocker.patch('freqtrade.exchange.Exchange.get_order', stoploss_executed)
|
||||
|
||||
freqtrade.exit_positions(trades)
|
||||
assert trade.stoploss_order_id is None
|
||||
@ -3631,7 +3645,7 @@ def test_startup_state(default_conf, mocker):
|
||||
}
|
||||
mocker.patch('freqtrade.exchange.Exchange.exchange_has', MagicMock(return_value=True))
|
||||
worker = get_patched_worker(mocker, default_conf)
|
||||
assert worker.state is State.RUNNING
|
||||
assert worker.freqtrade.state is State.RUNNING
|
||||
|
||||
|
||||
def test_startup_trade_reinit(default_conf, edge_conf, mocker):
|
||||
|
||||
@ -20,7 +20,7 @@ def test_may_execute_sell_stoploss_on_exchange_multi(default_conf, ticker, fee,
|
||||
default_conf['max_open_trades'] = 3
|
||||
default_conf['exchange']['name'] = 'binance'
|
||||
|
||||
stoploss_limit = {
|
||||
stoploss = {
|
||||
'id': 123,
|
||||
'info': {}
|
||||
}
|
||||
@ -53,7 +53,7 @@ def test_may_execute_sell_stoploss_on_exchange_multi(default_conf, ticker, fee,
|
||||
SellCheckTuple(sell_flag=True, sell_type=SellType.SELL_SIGNAL)]
|
||||
)
|
||||
cancel_order_mock = MagicMock()
|
||||
mocker.patch('freqtrade.exchange.Binance.stoploss_limit', stoploss_limit)
|
||||
mocker.patch('freqtrade.exchange.Binance.stoploss', stoploss)
|
||||
mocker.patch.multiple(
|
||||
'freqtrade.exchange.Exchange',
|
||||
fetch_ticker=ticker,
|
||||
|
||||
@ -11,11 +11,11 @@ from tests.conftest import get_patched_worker, log_has
|
||||
def test_worker_state(mocker, default_conf, markets) -> None:
|
||||
mocker.patch('freqtrade.exchange.Exchange.markets', PropertyMock(return_value=markets))
|
||||
worker = get_patched_worker(mocker, default_conf)
|
||||
assert worker.state is State.RUNNING
|
||||
assert worker.freqtrade.state is State.RUNNING
|
||||
|
||||
default_conf.pop('initial_state')
|
||||
worker = Worker(args=None, config=default_conf)
|
||||
assert worker.state is State.STOPPED
|
||||
assert worker.freqtrade.state is State.STOPPED
|
||||
|
||||
|
||||
def test_worker_running(mocker, default_conf, caplog) -> None:
|
||||
@ -41,7 +41,7 @@ def test_worker_stopped(mocker, default_conf, caplog) -> None:
|
||||
mock_sleep = mocker.patch('time.sleep', return_value=None)
|
||||
|
||||
worker = get_patched_worker(mocker, default_conf)
|
||||
worker.state = State.STOPPED
|
||||
worker.freqtrade.state = State.STOPPED
|
||||
state = worker._worker(old_state=State.RUNNING)
|
||||
assert state is State.STOPPED
|
||||
assert log_has('Changing state to: STOPPED', caplog)
|
||||
|
||||
Loading…
Reference in New Issue
Block a user