Merge branch 'develop' into pr/hroff-1902/3478

This commit is contained in:
Matthias 2020-07-13 07:22:43 +02:00
commit 6ee6e51ab4
61 changed files with 1300 additions and 360 deletions

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@ -82,6 +82,7 @@
"listen_port": 8080,
"verbosity": "info",
"jwt_secret_key": "somethingrandom",
"CORS_origins": [],
"username": "",
"password": ""
},

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@ -87,6 +87,7 @@
"listen_port": 8080,
"verbosity": "info",
"jwt_secret_key": "somethingrandom",
"CORS_origins": [],
"username": "",
"password": ""
},

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@ -64,6 +64,7 @@
"sort_key": "quoteVolume",
"refresh_period": 1800
},
{"method": "AgeFilter", "min_days_listed": 10},
{"method": "PrecisionFilter"},
{"method": "PriceFilter", "low_price_ratio": 0.01},
{"method": "SpreadFilter", "max_spread_ratio": 0.005}
@ -123,6 +124,7 @@
"listen_port": 8080,
"verbosity": "info",
"jwt_secret_key": "somethingrandom",
"CORS_origins": [],
"username": "freqtrader",
"password": "SuperSecurePassword"
},

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@ -93,6 +93,7 @@
"listen_port": 8080,
"verbosity": "info",
"jwt_secret_key": "somethingrandom",
"CORS_origins": [],
"username": "",
"password": ""
},

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@ -66,7 +66,7 @@ Where `SampleStrategy1` and `AwesomeStrategy` refer to class names of strategies
#### Exporting trades to file
```bash
freqtrade backtesting --export trades
freqtrade backtesting --export trades --config config.json --strategy SampleStrategy
```
The exported trades can be used for [further analysis](#further-backtest-result-analysis), or can be used by the plotting script `plot_dataframe.py` in the scripts directory.

58
docs/bot-basics.md Normal file
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@ -0,0 +1,58 @@
# Freqtrade basics
This page provides you some basic concepts on how Freqtrade works and operates.
## Freqtrade terminology
* Trade: Open position.
* Open Order: Order which is currently placed on the exchange, and is not yet complete.
* Pair: Tradable pair, usually in the format of Quote/Base (e.g. XRP/USDT).
* Timeframe: Candle length to use (e.g. `"5m"`, `"1h"`, ...).
* Indicators: Technical indicators (SMA, EMA, RSI, ...).
* Limit order: Limit orders which execute at the defined limit price or better.
* Market order: Guaranteed to fill, may move price depending on the order size.
## Fee handling
All profit calculations of Freqtrade include fees. For Backtesting / Hyperopt / Dry-run modes, the exchange default fee is used (lowest tier on the exchange). For live operations, fees are used as applied by the exchange (this includes BNB rebates etc.).
## Bot execution logic
Starting freqtrade in dry-run or live mode (using `freqtrade trade`) will start the bot and start the bot iteration loop.
By default, loop runs every few seconds (`internals.process_throttle_secs`) and does roughly the following in the following sequence:
* Fetch open trades from persistence.
* Calculate current list of tradable pairs.
* Download ohlcv data for the pairlist including all [informative pairs](strategy-customization.md#get-data-for-non-tradeable-pairs)
This step is only executed once per Candle to avoid unnecessary network traffic.
* Call `bot_loop_start()` strategy callback.
* Analyze strategy per pair.
* Call `populate_indicators()`
* Call `populate_buy_trend()`
* Call `populate_sell_trend()`
* Check timeouts for open orders.
* Calls `check_buy_timeout()` strategy callback for open buy orders.
* Calls `check_sell_timeout()` strategy callback for open sell orders.
* Verifies existing positions and eventually places sell orders.
* Considers stoploss, ROI and sell-signal.
* Determine sell-price based on `ask_strategy` configuration setting.
* Before a sell order is placed, `confirm_trade_exit()` strategy callback is called.
* Check if trade-slots are still available (if `max_open_trades` is reached).
* Verifies buy signal trying to enter new positions.
* Determine buy-price based on `bid_strategy` configuration setting.
* Before a buy order is placed, `confirm_trade_entry()` strategy callback is called.
This loop will be repeated again and again until the bot is stopped.
## Backtesting / Hyperopt execution logic
[backtesting](backtesting.md) or [hyperopt](hyperopt.md) do only part of the above logic, since most of the trading operations are fully simulated.
* Load historic data for configured pairlist.
* Calculate indicators (calls `populate_indicators()`).
* Calls `populate_buy_trend()` and `populate_sell_trend()`
* Loops per candle simulating entry and exit points.
* Generate backtest report output
!!! Note
Both Backtesting and Hyperopt include exchange default Fees in the calculation. Custom fees can be passed to backtesting / hyperopt by specifying the `--fee` argument.

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@ -275,7 +275,7 @@ the static list of pairs) if we should buy.
The `order_types` configuration parameter maps actions (`buy`, `sell`, `stoploss`, `emergencysell`) to order-types (`market`, `limit`, ...) as well as configures stoploss to be on the exchange and defines stoploss on exchange update interval in seconds.
This allows to buy using limit orders, sell using
limit-orders, and create stoplosses using using market orders. It also allows to set the
limit-orders, and create stoplosses using market orders. It also allows to set the
stoploss "on exchange" which means stoploss order would be placed immediately once
the buy order is fulfilled.
If `stoploss_on_exchange` and `trailing_stop` are both set, then the bot will use `stoploss_on_exchange_interval` to check and update the stoploss on exchange periodically.
@ -592,7 +592,7 @@ Pairlist Handlers define the list of pairs (pairlist) that the bot should trade.
In your configuration, you can use Static Pairlist (defined by the [`StaticPairList`](#static-pair-list) Pairlist Handler) and Dynamic Pairlist (defined by the [`VolumePairList`](#volume-pair-list) Pairlist Handler).
Additionaly, [`PrecisionFilter`](#precisionfilter), [`PriceFilter`](#pricefilter), [`ShuffleFilter`](#shufflefilter) and [`SpreadFilter`](#spreadfilter) act as Pairlist Filters, removing certain pairs and/or moving their positions in the pairlist.
Additionaly, [`AgeFilter`](#agefilter), [`PrecisionFilter`](#precisionfilter), [`PriceFilter`](#pricefilter), [`ShuffleFilter`](#shufflefilter) and [`SpreadFilter`](#spreadfilter) act as Pairlist Filters, removing certain pairs and/or moving their positions in the pairlist.
If multiple Pairlist Handlers are used, they are chained and a combination of all Pairlist Handlers forms the resulting pairlist the bot uses for trading and backtesting. Pairlist Handlers are executed in the sequence they are configured. You should always configure either `StaticPairList` or `VolumePairList` as the starting Pairlist Handler.
@ -602,6 +602,7 @@ Inactive markets are always removed from the resulting pairlist. Explicitly blac
* [`StaticPairList`](#static-pair-list) (default, if not configured differently)
* [`VolumePairList`](#volume-pair-list)
* [`AgeFilter`](#agefilter)
* [`PrecisionFilter`](#precisionfilter)
* [`PriceFilter`](#pricefilter)
* [`ShuffleFilter`](#shufflefilter)
@ -645,6 +646,16 @@ The `refresh_period` setting allows to define the period (in seconds), at which
}],
```
#### AgeFilter
Removes pairs that have been listed on the exchange for less than `min_days_listed` days (defaults to `10`).
When pairs are first listed on an exchange they can suffer huge price drops and volatility
in the first few days while the pair goes through its price-discovery period. Bots can often
be caught out buying before the pair has finished dropping in price.
This filter allows freqtrade to ignore pairs until they have been listed for at least `min_days_listed` days.
#### PrecisionFilter
Filters low-value coins which would not allow setting stoplosses.
@ -692,6 +703,7 @@ The below example blacklists `BNB/BTC`, uses `VolumePairList` with `20` assets,
"number_assets": 20,
"sort_key": "quoteVolume",
},
{"method": "AgeFilter", "min_days_listed": 10},
{"method": "PrecisionFilter"},
{"method": "PriceFilter", "low_price_ratio": 0.01},
{"method": "SpreadFilter", "max_spread_ratio": 0.005},

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@ -49,6 +49,16 @@ You can use the `/forcesell all` command from Telegram.
Please look at the [advanced setup documentation Page](advanced-setup.md#running-multiple-instances-of-freqtrade).
### I'm getting "Missing data fillup" messages in the log
This message is just a warning that the latest candles had missing candles in them.
Depending on the exchange, this can indicate that the pair didn't have a trade for the timeframe you are using - and the exchange does only return candles with volume.
On low volume pairs, this is a rather common occurance.
If this happens for all pairs in the pairlist, this might indicate a recent exchange downtime. Please check your exchange's public channels for details.
Irrespectively of the reason, Freqtrade will fill up these candles with "empty" candles, where open, high, low and close are set to the previous candle close - and volume is empty. In a chart, this will look like a `_` - and is aligned with how exchanges usually represent 0 volume candles.
### I'm getting the "RESTRICTED_MARKET" message in the log
Currently known to happen for US Bittrex users.

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@ -498,8 +498,3 @@ After you run Hyperopt for the desired amount of epochs, you can later list all
Once the optimized strategy has been implemented into your strategy, you should backtest this strategy to make sure everything is working as expected.
To achieve same results (number of trades, their durations, profit, etc.) than during Hyperopt, please use same set of arguments `--dmmp`/`--disable-max-market-positions` and `--eps`/`--enable-position-stacking` for Backtesting.
## Next Step
Now you have a perfect bot and want to control it from Telegram. Your
next step is to learn the [Telegram usage](telegram-usage.md).

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@ -1,2 +1,2 @@
mkdocs-material==5.3.0
mkdocs-material==5.4.0
mdx_truly_sane_lists==1.2

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@ -13,6 +13,7 @@ Sample configuration:
"listen_port": 8080,
"verbosity": "info",
"jwt_secret_key": "somethingrandom",
"CORS_origins": [],
"username": "Freqtrader",
"password": "SuperSecret1!"
},
@ -232,3 +233,26 @@ Since the access token has a short timeout (15 min) - the `token/refresh` reques
> curl -X POST --header "Authorization: Bearer ${refresh_token}"http://localhost:8080/api/v1/token/refresh
{"access_token":"eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJpYXQiOjE1ODkxMTk5NzQsIm5iZiI6MTU4OTExOTk3NCwianRpIjoiMDBjNTlhMWUtMjBmYS00ZTk0LTliZjAtNWQwNTg2MTdiZDIyIiwiZXhwIjoxNTg5MTIwODc0LCJpZGVudGl0eSI6eyJ1IjoiRnJlcXRyYWRlciJ9LCJmcmVzaCI6ZmFsc2UsInR5cGUiOiJhY2Nlc3MifQ.1seHlII3WprjjclY6DpRhen0rqdF4j6jbvxIhUFaSbs"}
```
## CORS
All web-based frontends are subject to [CORS](https://developer.mozilla.org/en-US/docs/Web/HTTP/CORS) - Cross-Origin Resource Sharing.
Since most of the requests to the Freqtrade API must be authenticated, a proper CORS policy is key to avoid security problems.
Also, the standard disallows `*` CORS policies for requests with credentials, so this setting must be set appropriately.
Users can configure this themselves via the `CORS_origins` configuration setting.
It consists of a list of allowed sites that are allowed to consume resources from the bot's API.
Assuming your application is deployed as `https://frequi.freqtrade.io/home/` - this would mean that the following configuration becomes necessary:
```jsonc
{
//...
"jwt_secret_key": "somethingrandom",
"CORS_origins": ["https://frequi.freqtrade.io"],
//...
}
```
!!! Note
We strongly recommend to also set `jwt_secret_key` to something random and known only to yourself to avoid unauthorized access to your bot.

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@ -1,7 +1,12 @@
# Advanced Strategies
This page explains some advanced concepts available for strategies.
If you're just getting started, please be familiar with the methods described in the [Strategy Customization](strategy-customization.md) documentation first.
If you're just getting started, please be familiar with the methods described in the [Strategy Customization](strategy-customization.md) documentation and with the [Freqtrade basics](bot-basics.md) first.
[Freqtrade basics](bot-basics.md) describes in which sequence each method described below is called, which can be helpful to understand which method to use for your custom needs.
!!! Note
All callback methods described below should only be implemented in a strategy if they are actually used.
## Custom order timeout rules
@ -89,3 +94,108 @@ class Awesomestrategy(IStrategy):
return True
return False
```
## Bot loop start callback
A simple callback which is called once at the start of every bot throttling iteration.
This can be used to perform calculations which are pair independent (apply to all pairs), loading of external data, etc.
``` python
import requests
class Awesomestrategy(IStrategy):
# ... populate_* methods
def bot_loop_start(self, **kwargs) -> None:
"""
Called at the start of the bot iteration (one loop).
Might be used to perform pair-independent tasks
(e.g. gather some remote resource for comparison)
:param **kwargs: Ensure to keep this here so updates to this won't break your strategy.
"""
if self.config['runmode'].value in ('live', 'dry_run'):
# Assign this to the class by using self.*
# can then be used by populate_* methods
self.remote_data = requests.get('https://some_remote_source.example.com')
```
## Bot order confirmation
### Trade entry (buy order) confirmation
`confirm_trade_entry()` can be used to abort a trade entry at the latest second (maybe because the price is not what we expect).
``` python
class Awesomestrategy(IStrategy):
# ... populate_* methods
def confirm_trade_entry(self, pair: str, order_type: str, amount: float, rate: float,
time_in_force: str, **kwargs) -> bool:
"""
Called right before placing a buy order.
Timing for this function is critical, so avoid doing heavy computations or
network requests in this method.
For full documentation please go to https://www.freqtrade.io/en/latest/strategy-advanced/
When not implemented by a strategy, returns True (always confirming).
:param pair: Pair that's about to be bought.
:param order_type: Order type (as configured in order_types). usually limit or market.
:param amount: Amount in target (quote) currency that's going to be traded.
:param rate: Rate that's going to be used when using limit orders
:param time_in_force: Time in force. Defaults to GTC (Good-til-cancelled).
:param **kwargs: Ensure to keep this here so updates to this won't break your strategy.
:return bool: When True is returned, then the buy-order is placed on the exchange.
False aborts the process
"""
return True
```
### Trade exit (sell order) confirmation
`confirm_trade_exit()` can be used to abort a trade exit (sell) at the latest second (maybe because the price is not what we expect).
``` python
from freqtrade.persistence import Trade
class Awesomestrategy(IStrategy):
# ... populate_* methods
def confirm_trade_exit(self, pair: str, trade: Trade, order_type: str, amount: float,
rate: float, time_in_force: str, sell_reason: str, **kwargs) -> bool:
"""
Called right before placing a regular sell order.
Timing for this function is critical, so avoid doing heavy computations or
network requests in this method.
For full documentation please go to https://www.freqtrade.io/en/latest/strategy-advanced/
When not implemented by a strategy, returns True (always confirming).
:param pair: Pair that's about to be sold.
:param order_type: Order type (as configured in order_types). usually limit or market.
:param amount: Amount in quote currency.
:param rate: Rate that's going to be used when using limit orders
:param time_in_force: Time in force. Defaults to GTC (Good-til-cancelled).
:param sell_reason: Sell reason.
Can be any of ['roi', 'stop_loss', 'stoploss_on_exchange', 'trailing_stop_loss',
'sell_signal', 'force_sell', 'emergency_sell']
:param **kwargs: Ensure to keep this here so updates to this won't break your strategy.
:return bool: When True is returned, then the sell-order is placed on the exchange.
False aborts the process
"""
if sell_reason == 'force_sell' and trade.calc_profit_ratio(rate) < 0:
# Reject force-sells with negative profit
# This is just a sample, please adjust to your needs
# (this does not necessarily make sense, assuming you know when you're force-selling)
return False
return True
```

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@ -1,6 +1,8 @@
# Strategy Customization
This page explains where to customize your strategies, and add new indicators.
This page explains how to customize your strategies, add new indicators and set up trading rules.
Please familiarize yourself with [Freqtrade basics](bot-basics.md) first, which provides overall info on how the bot operates.
## Install a custom strategy file
@ -366,6 +368,7 @@ Please always check the mode of operation to select the correct method to get da
- [`available_pairs`](#available_pairs) - Property with tuples listing cached pairs with their intervals (pair, interval).
- [`current_whitelist()`](#current_whitelist) - Returns a current list of whitelisted pairs. Useful for accessing dynamic whitelists (ie. VolumePairlist)
- [`get_pair_dataframe(pair, timeframe)`](#get_pair_dataframepair-timeframe) - This is a universal method, which returns either historical data (for backtesting) or cached live data (for the Dry-Run and Live-Run modes).
- [`get_analyzed_dataframe(pair, timeframe)`](#get_analyzed_dataframepair-timeframe) - Returns the analyzed dataframe (after calling `populate_indicators()`, `populate_buy()`, `populate_sell()`) and the time of the latest analysis.
- `historic_ohlcv(pair, timeframe)` - Returns historical data stored on disk.
- `market(pair)` - Returns market data for the pair: fees, limits, precisions, activity flag, etc. See [ccxt documentation](https://github.com/ccxt/ccxt/wiki/Manual#markets) for more details on the Market data structure.
- `ohlcv(pair, timeframe)` - Currently cached candle (OHLCV) data for the pair, returns DataFrame or empty DataFrame.
@ -384,6 +387,7 @@ if self.dp:
```
#### *current_whitelist()*
Imagine you've developed a strategy that trades the `5m` timeframe using signals generated from a `1d` timeframe on the top 10 volume pairs by volume.
The strategy might look something like this:
@ -431,13 +435,32 @@ if self.dp:
```
!!! Warning "Warning about backtesting"
Be carefull when using dataprovider in backtesting. `historic_ohlcv()` (and `get_pair_dataframe()`
Be careful when using dataprovider in backtesting. `historic_ohlcv()` (and `get_pair_dataframe()`
for the backtesting runmode) provides the full time-range in one go,
so please be aware of it and make sure to not "look into the future" to avoid surprises when running in dry/live mode).
!!! Warning "Warning in hyperopt"
This option cannot currently be used during hyperopt.
#### *get_analyzed_dataframe(pair, timeframe)*
This method is used by freqtrade internally to determine the last signal.
It can also be used in specific callbacks to get the signal that caused the action (see [Advanced Strategy Documentation](strategy-advanced.md) for more details on available callbacks).
``` python
# fetch current dataframe
if self.dp:
dataframe, last_updated = self.dp.get_analyzed_dataframe(pair=metadata['pair'],
timeframe=self.ticker_interval)
```
!!! Note "No data available"
Returns an empty dataframe if the requested pair was not cached.
This should not happen when using whitelisted pairs.
!!! Warning "Warning in hyperopt"
This option cannot currently be used during hyperopt.
#### *orderbook(pair, maximum)*
``` python

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@ -22,7 +22,8 @@ ORDERBOOK_SIDES = ['ask', 'bid']
ORDERTYPE_POSSIBILITIES = ['limit', 'market']
ORDERTIF_POSSIBILITIES = ['gtc', 'fok', 'ioc']
AVAILABLE_PAIRLISTS = ['StaticPairList', 'VolumePairList',
'PrecisionFilter', 'PriceFilter', 'ShuffleFilter', 'SpreadFilter']
'AgeFilter', 'PrecisionFilter', 'PriceFilter',
'ShuffleFilter', 'SpreadFilter']
AVAILABLE_DATAHANDLERS = ['json', 'jsongz']
DRY_RUN_WALLET = 1000
MATH_CLOSE_PREC = 1e-14 # Precision used for float comparisons
@ -221,6 +222,8 @@ CONF_SCHEMA = {
},
'username': {'type': 'string'},
'password': {'type': 'string'},
'jwt_secret_key': {'type': 'string'},
'CORS_origins': {'type': 'array', 'items': {'type': 'string'}},
'verbosity': {'type': 'string', 'enum': ['error', 'info']},
},
'required': ['enabled', 'listen_ip_address', 'listen_port', 'username', 'password']
@ -336,4 +339,5 @@ CANCEL_REASON = {
}
# List of pairs with their timeframes
ListPairsWithTimeframes = List[Tuple[str, str]]
PairWithTimeframe = Tuple[str, str]
ListPairsWithTimeframes = List[PairWithTimeframe]

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@ -5,16 +5,17 @@ including ticker and orderbook data, live and historical candle (OHLCV) data
Common Interface for bot and strategy to access data.
"""
import logging
from typing import Any, Dict, List, Optional
from datetime import datetime, timezone
from typing import Any, Dict, List, Optional, Tuple
from arrow import Arrow
from pandas import DataFrame
from freqtrade.constants import ListPairsWithTimeframes, PairWithTimeframe
from freqtrade.data.history import load_pair_history
from freqtrade.exceptions import DependencyException, OperationalException
from freqtrade.exceptions import ExchangeError, OperationalException
from freqtrade.exchange import Exchange
from freqtrade.state import RunMode
from freqtrade.constants import ListPairsWithTimeframes
logger = logging.getLogger(__name__)
@ -25,6 +26,18 @@ class DataProvider:
self._config = config
self._exchange = exchange
self._pairlists = pairlists
self.__cached_pairs: Dict[PairWithTimeframe, Tuple[DataFrame, datetime]] = {}
def _set_cached_df(self, pair: str, timeframe: str, dataframe: DataFrame) -> None:
"""
Store cached Dataframe.
Using private method as this should never be used by a user
(but the class is exposed via `self.dp` to the strategy)
:param pair: pair to get the data for
:param timeframe: Timeframe to get data for
:param dataframe: analyzed dataframe
"""
self.__cached_pairs[(pair, timeframe)] = (dataframe, Arrow.utcnow().datetime)
def refresh(self,
pairlist: ListPairsWithTimeframes,
@ -89,6 +102,20 @@ class DataProvider:
logger.warning(f"No data found for ({pair}, {timeframe}).")
return data
def get_analyzed_dataframe(self, pair: str, timeframe: str) -> Tuple[DataFrame, datetime]:
"""
:param pair: pair to get the data for
:param timeframe: timeframe to get data for
:return: Tuple of (Analyzed Dataframe, lastrefreshed) for the requested pair / timeframe
combination.
Returns empty dataframe and Epoch 0 (1970-01-01) if no dataframe was cached.
"""
if (pair, timeframe) in self.__cached_pairs:
return self.__cached_pairs[(pair, timeframe)]
else:
return (DataFrame(), datetime.fromtimestamp(0, tz=timezone.utc))
def market(self, pair: str) -> Optional[Dict[str, Any]]:
"""
Return market data for the pair
@ -105,7 +132,7 @@ class DataProvider:
"""
try:
return self._exchange.fetch_ticker(pair)
except DependencyException:
except ExchangeError:
return {}
def orderbook(self, pair: str, maximum: int) -> Dict[str, List]:

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@ -270,6 +270,11 @@ def _download_trades_history(exchange: Exchange,
# DEFAULT_TRADES_COLUMNS: 0 -> timestamp
# DEFAULT_TRADES_COLUMNS: 1 -> id
if trades and since < trades[0][0]:
# since is before the first trade
logger.info(f"Start earlier than available data. Redownloading trades for {pair}...")
trades = []
from_id = trades[-1][1] if trades else None
if trades and since < trades[-1][0]:
# Reset since to the last available point

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@ -37,7 +37,21 @@ class InvalidOrderException(FreqtradeException):
"""
class TemporaryError(FreqtradeException):
class RetryableOrderError(InvalidOrderException):
"""
This is returned when the order is not found.
This Error will be repeated with increasing backof (in line with DDosError).
"""
class ExchangeError(DependencyException):
"""
Error raised out of the exchange.
Has multiple Errors to determine the appropriate error.
"""
class TemporaryError(ExchangeError):
"""
Temporary network or exchange related error.
This could happen when an exchange is congested, unavailable, or the user
@ -45,6 +59,13 @@ class TemporaryError(FreqtradeException):
"""
class DDosProtection(TemporaryError):
"""
Temporary error caused by DDOS protection.
Bot will wait for a second and then retry.
"""
class StrategyError(FreqtradeException):
"""
Errors with custom user-code deteced.

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@ -4,9 +4,11 @@ from typing import Dict
import ccxt
from freqtrade.exceptions import (DependencyException, InvalidOrderException,
OperationalException, TemporaryError)
from freqtrade.exceptions import (DDosProtection, ExchangeError,
InvalidOrderException, OperationalException,
TemporaryError)
from freqtrade.exchange import Exchange
from freqtrade.exchange.common import retrier
logger = logging.getLogger(__name__)
@ -39,6 +41,7 @@ class Binance(Exchange):
"""
return order['type'] == 'stop_loss_limit' and stop_loss > float(order['info']['stopPrice'])
@retrier(retries=0)
def stoploss(self, pair: str, amount: float, stop_price: float, order_types: Dict) -> Dict:
"""
creates a stoploss limit order.
@ -77,7 +80,7 @@ class Binance(Exchange):
'stop price: %s. limit: %s', pair, stop_price, rate)
return order
except ccxt.InsufficientFunds as e:
raise DependencyException(
raise ExchangeError(
f'Insufficient funds to create {ordertype} sell order on market {pair}. '
f'Tried to sell amount {amount} at rate {rate}. '
f'Message: {e}') from e
@ -88,6 +91,8 @@ class Binance(Exchange):
f'Could not create {ordertype} sell order on market {pair}. '
f'Tried to sell amount {amount} at rate {rate}. '
f'Message: {e}') from e
except ccxt.DDoSProtection as e:
raise DDosProtection(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

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@ -1,6 +1,10 @@
import asyncio
import logging
import time
from functools import wraps
from freqtrade.exceptions import TemporaryError
from freqtrade.exceptions import (DDosProtection, RetryableOrderError,
TemporaryError)
logger = logging.getLogger(__name__)
@ -88,6 +92,13 @@ MAP_EXCHANGE_CHILDCLASS = {
}
def calculate_backoff(retrycount, max_retries):
"""
Calculate backoff
"""
return (max_retries - retrycount) ** 2 + 1
def retrier_async(f):
async def wrapper(*args, **kwargs):
count = kwargs.pop('count', API_RETRY_COUNT)
@ -99,6 +110,10 @@ def retrier_async(f):
count -= 1
kwargs.update({'count': count})
logger.warning('retrying %s() still for %s times', f.__name__, count)
if isinstance(ex, DDosProtection):
backoff_delay = calculate_backoff(count + 1, API_RETRY_COUNT)
logger.debug(f"Applying DDosProtection backoff delay: {backoff_delay}")
await asyncio.sleep(backoff_delay)
return await wrapper(*args, **kwargs)
else:
logger.warning('Giving up retrying: %s()', f.__name__)
@ -106,19 +121,31 @@ def retrier_async(f):
return wrapper
def retrier(f):
def wrapper(*args, **kwargs):
count = kwargs.pop('count', API_RETRY_COUNT)
try:
return f(*args, **kwargs)
except TemporaryError as ex:
logger.warning('%s() returned exception: "%s"', f.__name__, ex)
if count > 0:
count -= 1
kwargs.update({'count': count})
logger.warning('retrying %s() still for %s times', f.__name__, count)
return wrapper(*args, **kwargs)
else:
logger.warning('Giving up retrying: %s()', f.__name__)
raise ex
return wrapper
def retrier(_func=None, retries=API_RETRY_COUNT):
def decorator(f):
@wraps(f)
def wrapper(*args, **kwargs):
count = kwargs.pop('count', retries)
try:
return f(*args, **kwargs)
except (TemporaryError, RetryableOrderError) as ex:
logger.warning('%s() returned exception: "%s"', f.__name__, ex)
if count > 0:
count -= 1
kwargs.update({'count': count})
logger.warning('retrying %s() still for %s times', f.__name__, count)
if isinstance(ex, DDosProtection) or isinstance(ex, RetryableOrderError):
# increasing backoff
backoff_delay = calculate_backoff(count + 1, retries)
logger.debug(f"Applying DDosProtection backoff delay: {backoff_delay}")
time.sleep(backoff_delay)
return wrapper(*args, **kwargs)
else:
logger.warning('Giving up retrying: %s()', f.__name__)
raise ex
return wrapper
# Support both @retrier and @retrier(retries=2) syntax
if _func is None:
return decorator
else:
return decorator(_func)

View File

@ -18,12 +18,13 @@ from ccxt.base.decimal_to_precision import (ROUND_DOWN, ROUND_UP, TICK_SIZE,
TRUNCATE, decimal_to_precision)
from pandas import DataFrame
from freqtrade.constants import ListPairsWithTimeframes
from freqtrade.data.converter import ohlcv_to_dataframe, trades_dict_to_list
from freqtrade.exceptions import (DependencyException, InvalidOrderException,
OperationalException, TemporaryError)
from freqtrade.exceptions import (DDosProtection, ExchangeError,
InvalidOrderException, OperationalException,
RetryableOrderError, TemporaryError)
from freqtrade.exchange.common import BAD_EXCHANGES, retrier, retrier_async
from freqtrade.misc import deep_merge_dicts, safe_value_fallback
from freqtrade.constants import ListPairsWithTimeframes
CcxtModuleType = Any
@ -351,7 +352,7 @@ class Exchange:
for pair in [f"{curr_1}/{curr_2}", f"{curr_2}/{curr_1}"]:
if pair in self.markets and self.markets[pair].get('active'):
return pair
raise DependencyException(f"Could not combine {curr_1} and {curr_2} to get a valid pair.")
raise ExchangeError(f"Could not combine {curr_1} and {curr_2} to get a valid pair.")
def validate_timeframes(self, timeframe: Optional[str]) -> None:
"""
@ -525,15 +526,17 @@ class Exchange:
amount, rate_for_order, params)
except ccxt.InsufficientFunds as e:
raise DependencyException(
raise ExchangeError(
f'Insufficient funds to create {ordertype} {side} order on market {pair}. '
f'Tried to {side} amount {amount} at rate {rate}.'
f'Message: {e}') from e
except ccxt.InvalidOrder as e:
raise DependencyException(
raise ExchangeError(
f'Could not create {ordertype} {side} order on market {pair}. '
f'Tried to {side} amount {amount} at rate {rate}. '
f'Message: {e}') from e
except ccxt.DDoSProtection as e:
raise DDosProtection(e) from e
except (ccxt.NetworkError, ccxt.ExchangeError) as e:
raise TemporaryError(
f'Could not place {side} order due to {e.__class__.__name__}. Message: {e}') from e
@ -613,6 +616,8 @@ class Exchange:
balances.pop("used", None)
return balances
except ccxt.DDoSProtection as e:
raise DDosProtection(e) from e
except (ccxt.NetworkError, ccxt.ExchangeError) as e:
raise TemporaryError(
f'Could not get balance due to {e.__class__.__name__}. Message: {e}') from e
@ -627,6 +632,8 @@ class Exchange:
raise OperationalException(
f'Exchange {self._api.name} does not support fetching tickers in batch. '
f'Message: {e}') from e
except ccxt.DDoSProtection as e:
raise DDosProtection(e) from e
except (ccxt.NetworkError, ccxt.ExchangeError) as e:
raise TemporaryError(
f'Could not load tickers due to {e.__class__.__name__}. Message: {e}') from e
@ -637,9 +644,11 @@ class Exchange:
def fetch_ticker(self, pair: str) -> dict:
try:
if pair not in self._api.markets or not self._api.markets[pair].get('active'):
raise DependencyException(f"Pair {pair} not available")
raise ExchangeError(f"Pair {pair} not available")
data = self._api.fetch_ticker(pair)
return data
except ccxt.DDoSProtection as e:
raise DDosProtection(e) from e
except (ccxt.NetworkError, ccxt.ExchangeError) as e:
raise TemporaryError(
f'Could not load ticker due to {e.__class__.__name__}. Message: {e}') from e
@ -773,6 +782,8 @@ class Exchange:
raise OperationalException(
f'Exchange {self._api.name} does not support fetching historical '
f'candle (OHLCV) data. Message: {e}') from e
except ccxt.DDoSProtection as e:
raise DDosProtection(e) from e
except (ccxt.NetworkError, ccxt.ExchangeError) as e:
raise TemporaryError(f'Could not fetch historical candle (OHLCV) data '
f'for pair {pair} due to {e.__class__.__name__}. '
@ -809,6 +820,8 @@ class Exchange:
raise OperationalException(
f'Exchange {self._api.name} does not support fetching historical trade data.'
f'Message: {e}') from e
except ccxt.DDoSProtection as e:
raise DDosProtection(e) from e
except (ccxt.NetworkError, ccxt.ExchangeError) as e:
raise TemporaryError(f'Could not load trade history due to {e.__class__.__name__}. '
f'Message: {e}') from e
@ -940,7 +953,7 @@ class Exchange:
def check_order_canceled_empty(self, order: Dict) -> bool:
"""
Verify if an order has been cancelled without being partially filled
:param order: Order dict as returned from get_order()
:param order: Order dict as returned from fetch_order()
:return: True if order has been cancelled without being filled, False otherwise.
"""
return order.get('status') in ('closed', 'canceled') and order.get('filled') == 0.0
@ -955,13 +968,15 @@ class Exchange:
except ccxt.InvalidOrder as e:
raise InvalidOrderException(
f'Could not cancel order. Message: {e}') from e
except ccxt.DDoSProtection as e:
raise DDosProtection(e) from e
except (ccxt.NetworkError, ccxt.ExchangeError) as e:
raise TemporaryError(
f'Could not cancel order due to {e.__class__.__name__}. Message: {e}') from e
except ccxt.BaseError as e:
raise OperationalException(e) from e
# Assign method to get_stoploss_order to allow easy overriding in other classes
# Assign method to fetch_stoploss_order to allow easy overriding in other classes
cancel_stoploss_order = cancel_order
def is_cancel_order_result_suitable(self, corder) -> bool:
@ -975,7 +990,7 @@ class Exchange:
"""
Cancel order returning a result.
Creates a fake result if cancel order returns a non-usable result
and get_order does not work (certain exchanges don't return cancelled orders)
and fetch_order does not work (certain exchanges don't return cancelled orders)
:param order_id: Orderid to cancel
:param pair: Pair corresponding to order_id
:param amount: Amount to use for fake response
@ -988,7 +1003,7 @@ class Exchange:
except InvalidOrderException:
logger.warning(f"Could not cancel order {order_id}.")
try:
order = self.get_order(order_id, pair)
order = self.fetch_order(order_id, pair)
except InvalidOrderException:
logger.warning(f"Could not fetch cancelled order {order_id}.")
order = {'fee': {}, 'status': 'canceled', 'amount': amount, 'info': {}}
@ -996,7 +1011,7 @@ class Exchange:
return order
@retrier
def get_order(self, order_id: str, pair: str) -> Dict:
def fetch_order(self, order_id: str, pair: str) -> Dict:
if self._config['dry_run']:
try:
order = self._dry_run_open_orders[order_id]
@ -1007,17 +1022,22 @@ class Exchange:
f'Tried to get an invalid dry-run-order (id: {order_id}). Message: {e}') from e
try:
return self._api.fetch_order(order_id, pair)
except ccxt.OrderNotFound as e:
raise RetryableOrderError(
f'Order not found (id: {order_id}). Message: {e}') from e
except ccxt.InvalidOrder as e:
raise InvalidOrderException(
f'Tried to get an invalid order (id: {order_id}). Message: {e}') from e
except ccxt.DDoSProtection as e:
raise DDosProtection(e) from e
except (ccxt.NetworkError, ccxt.ExchangeError) as e:
raise TemporaryError(
f'Could not get order due to {e.__class__.__name__}. Message: {e}') from e
except ccxt.BaseError as e:
raise OperationalException(e) from e
# Assign method to get_stoploss_order to allow easy overriding in other classes
get_stoploss_order = get_order
# Assign method to fetch_stoploss_order to allow easy overriding in other classes
fetch_stoploss_order = fetch_order
@retrier
def fetch_l2_order_book(self, pair: str, limit: int = 100) -> dict:
@ -1034,6 +1054,8 @@ class Exchange:
raise OperationalException(
f'Exchange {self._api.name} does not support fetching order book.'
f'Message: {e}') from e
except ccxt.DDoSProtection as e:
raise DDosProtection(e) from e
except (ccxt.NetworkError, ccxt.ExchangeError) as e:
raise TemporaryError(
f'Could not get order book due to {e.__class__.__name__}. Message: {e}') from e
@ -1070,7 +1092,8 @@ class Exchange:
matched_trades = [trade for trade in my_trades if trade['order'] == order_id]
return matched_trades
except ccxt.DDoSProtection as e:
raise DDosProtection(e) from e
except (ccxt.NetworkError, ccxt.ExchangeError) as e:
raise TemporaryError(
f'Could not get trades due to {e.__class__.__name__}. Message: {e}') from e
@ -1087,6 +1110,8 @@ class Exchange:
return self._api.calculate_fee(symbol=symbol, type=type, side=side, amount=amount,
price=price, takerOrMaker=taker_or_maker)['rate']
except ccxt.DDoSProtection as e:
raise DDosProtection(e) from e
except (ccxt.NetworkError, ccxt.ExchangeError) as e:
raise TemporaryError(
f'Could not get fee info due to {e.__class__.__name__}. Message: {e}') from e
@ -1136,7 +1161,7 @@ class Exchange:
fee_to_quote_rate = safe_value_fallback(tick, tick, 'last', 'ask')
return round((order['fee']['cost'] * fee_to_quote_rate) / order['cost'], 8)
except DependencyException:
except ExchangeError:
return None
def extract_cost_curr_rate(self, order: Dict) -> Tuple[float, str, Optional[float]]:

View File

@ -4,8 +4,9 @@ from typing import Dict
import ccxt
from freqtrade.exceptions import (DependencyException, InvalidOrderException,
OperationalException, TemporaryError)
from freqtrade.exceptions import (DDosProtection, ExchangeError,
InvalidOrderException, OperationalException,
TemporaryError)
from freqtrade.exchange import Exchange
from freqtrade.exchange.common import retrier
@ -26,6 +27,7 @@ class Ftx(Exchange):
"""
return order['type'] == 'stop' and stop_loss > float(order['price'])
@retrier(retries=0)
def stoploss(self, pair: str, amount: float, stop_price: float, order_types: Dict) -> Dict:
"""
Creates a stoploss order.
@ -59,7 +61,7 @@ class Ftx(Exchange):
'stop price: %s.', pair, stop_price)
return order
except ccxt.InsufficientFunds as e:
raise DependencyException(
raise ExchangeError(
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
@ -68,6 +70,8 @@ class Ftx(Exchange):
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.DDoSProtection as e:
raise DDosProtection(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
@ -75,7 +79,7 @@ class Ftx(Exchange):
raise OperationalException(e) from e
@retrier
def get_stoploss_order(self, order_id: str, pair: str) -> Dict:
def fetch_stoploss_order(self, order_id: str, pair: str) -> Dict:
if self._config['dry_run']:
try:
order = self._dry_run_open_orders[order_id]
@ -96,6 +100,8 @@ class Ftx(Exchange):
except ccxt.InvalidOrder as e:
raise InvalidOrderException(
f'Tried to get an invalid order (id: {order_id}). Message: {e}') from e
except ccxt.DDoSProtection as e:
raise DDosProtection(e) from e
except (ccxt.NetworkError, ccxt.ExchangeError) as e:
raise TemporaryError(
f'Could not get order due to {e.__class__.__name__}. Message: {e}') from e
@ -111,6 +117,8 @@ class Ftx(Exchange):
except ccxt.InvalidOrder as e:
raise InvalidOrderException(
f'Could not cancel order. Message: {e}') from e
except ccxt.DDoSProtection as e:
raise DDosProtection(e) from e
except (ccxt.NetworkError, ccxt.ExchangeError) as e:
raise TemporaryError(
f'Could not cancel order due to {e.__class__.__name__}. Message: {e}') from e

View File

@ -4,8 +4,9 @@ from typing import Dict
import ccxt
from freqtrade.exceptions import (DependencyException, InvalidOrderException,
OperationalException, TemporaryError)
from freqtrade.exceptions import (DDosProtection, ExchangeError,
InvalidOrderException, OperationalException,
TemporaryError)
from freqtrade.exchange import Exchange
from freqtrade.exchange.common import retrier
@ -45,6 +46,8 @@ class Kraken(Exchange):
balances[bal]['free'] = balances[bal]['total'] - balances[bal]['used']
return balances
except ccxt.DDoSProtection as e:
raise DDosProtection(e) from e
except (ccxt.NetworkError, ccxt.ExchangeError) as e:
raise TemporaryError(
f'Could not get balance due to {e.__class__.__name__}. Message: {e}') from e
@ -58,6 +61,7 @@ class Kraken(Exchange):
"""
return order['type'] == 'stop-loss' and stop_loss > float(order['price'])
@retrier(retries=0)
def stoploss(self, pair: str, amount: float, stop_price: float, order_types: Dict) -> Dict:
"""
Creates a stoploss market order.
@ -84,7 +88,7 @@ class Kraken(Exchange):
'stop price: %s.', pair, stop_price)
return order
except ccxt.InsufficientFunds as e:
raise DependencyException(
raise ExchangeError(
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
@ -93,6 +97,8 @@ class Kraken(Exchange):
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.DDoSProtection as e:
raise DDosProtection(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

View File

@ -11,14 +11,14 @@ from typing import Any, Dict, List, Optional
import arrow
from cachetools import TTLCache
from requests.exceptions import RequestException
from freqtrade import __version__, constants, persistence
from freqtrade.configuration import validate_config_consistency
from freqtrade.data.converter import order_book_to_dataframe
from freqtrade.data.dataprovider import DataProvider
from freqtrade.edge import Edge
from freqtrade.exceptions import DependencyException, InvalidOrderException, PricingError
from freqtrade.exceptions import (DependencyException, ExchangeError,
InvalidOrderException, PricingError)
from freqtrade.exchange import timeframe_to_minutes, timeframe_to_next_date
from freqtrade.misc import safe_value_fallback
from freqtrade.pairlist.pairlistmanager import PairListManager
@ -119,6 +119,8 @@ class FreqtradeBot:
if self.config['cancel_open_orders_on_exit']:
self.cancel_all_open_orders()
self.check_for_open_trades()
self.rpc.cleanup()
persistence.cleanup()
@ -151,6 +153,10 @@ class FreqtradeBot:
self.dataprovider.refresh(self.pairlists.create_pair_list(self.active_pair_whitelist),
self.strategy.informative_pairs())
strategy_safe_wrapper(self.strategy.bot_loop_start, supress_error=True)()
self.strategy.analyze(self.active_pair_whitelist)
with self._sell_lock:
# Check and handle any timed out open orders
self.check_handle_timedout()
@ -175,6 +181,24 @@ class FreqtradeBot:
if self.config['cancel_open_orders_on_exit']:
self.cancel_all_open_orders()
def check_for_open_trades(self):
"""
Notify the user when the bot is stopped
and there are still open trades active.
"""
open_trades = Trade.get_trades([Trade.is_open == 1]).all()
if len(open_trades) != 0:
msg = {
'type': RPCMessageType.WARNING_NOTIFICATION,
'status': f"{len(open_trades)} open trades active.\n\n"
f"Handle these trades manually on {self.exchange.name}, "
f"or '/start' the bot again and use '/stopbuy' "
f"to handle open trades gracefully. \n"
f"{'Trades are simulated.' if self.config['dry_run'] else ''}",
}
self.rpc.send_msg(msg)
def _refresh_active_whitelist(self, trades: List[Trade] = []) -> List[str]:
"""
Refresh active whitelist from pairlist or edge and extend it with
@ -420,9 +444,8 @@ class FreqtradeBot:
return False
# running get_signal on historical data fetched
(buy, sell) = self.strategy.get_signal(
pair, self.strategy.timeframe,
self.dataprovider.ohlcv(pair, self.strategy.timeframe))
analyzed_df, _ = self.dataprovider.get_analyzed_dataframe(pair, self.strategy.timeframe)
(buy, sell) = self.strategy.get_signal(pair, self.strategy.timeframe, analyzed_df)
if buy and not sell:
stake_amount = self.get_trade_stake_amount(pair)
@ -495,6 +518,12 @@ class FreqtradeBot:
amount = stake_amount / buy_limit_requested
order_type = self.strategy.order_types['buy']
if not strategy_safe_wrapper(self.strategy.confirm_trade_entry, default_retval=True)(
pair=pair, order_type=order_type, amount=amount, rate=buy_limit_requested,
time_in_force=time_in_force):
logger.info(f"User requested abortion of buying {pair}")
return False
order = self.exchange.buy(pair=pair, ordertype=order_type,
amount=amount, rate=buy_limit_requested,
time_in_force=time_in_force)
@ -697,9 +726,10 @@ class FreqtradeBot:
if (config_ask_strategy.get('use_sell_signal', True) or
config_ask_strategy.get('ignore_roi_if_buy_signal', False)):
(buy, sell) = self.strategy.get_signal(
trade.pair, self.strategy.timeframe,
self.dataprovider.ohlcv(trade.pair, self.strategy.timeframe))
analyzed_df, _ = self.dataprovider.get_analyzed_dataframe(trade.pair,
self.strategy.timeframe)
(buy, sell) = self.strategy.get_signal(trade.pair, self.strategy.timeframe, analyzed_df)
if config_ask_strategy.get('use_order_book', False):
order_book_min = config_ask_strategy.get('order_book_min', 1)
@ -755,7 +785,7 @@ class FreqtradeBot:
logger.warning('Selling the trade forcefully')
self.execute_sell(trade, trade.stop_loss, sell_reason=SellType.EMERGENCY_SELL)
except DependencyException:
except ExchangeError:
trade.stoploss_order_id = None
logger.exception('Unable to place a stoploss order on exchange.')
return False
@ -773,8 +803,8 @@ class FreqtradeBot:
try:
# First we check if there is already a stoploss on exchange
stoploss_order = self.exchange.get_stoploss_order(trade.stoploss_order_id, trade.pair) \
if trade.stoploss_order_id else None
stoploss_order = self.exchange.fetch_stoploss_order(
trade.stoploss_order_id, trade.pair) if trade.stoploss_order_id else None
except InvalidOrderException as exception:
logger.warning('Unable to fetch stoploss order: %s', exception)
@ -888,8 +918,8 @@ class FreqtradeBot:
try:
if not trade.open_order_id:
continue
order = self.exchange.get_order(trade.open_order_id, trade.pair)
except (RequestException, DependencyException, InvalidOrderException):
order = self.exchange.fetch_order(trade.open_order_id, trade.pair)
except (ExchangeError, InvalidOrderException):
logger.info('Cannot query order for %s due to %s', trade, traceback.format_exc())
continue
@ -921,7 +951,7 @@ class FreqtradeBot:
for trade in Trade.get_open_order_trades():
try:
order = self.exchange.get_order(trade.open_order_id, trade.pair)
order = self.exchange.fetch_order(trade.open_order_id, trade.pair)
except (DependencyException, InvalidOrderException):
logger.info('Cannot query order for %s due to %s', trade, traceback.format_exc())
continue
@ -1075,12 +1105,20 @@ class FreqtradeBot:
order_type = self.strategy.order_types.get("emergencysell", "market")
amount = self._safe_sell_amount(trade.pair, trade.amount)
time_in_force = self.strategy.order_time_in_force['sell']
if not strategy_safe_wrapper(self.strategy.confirm_trade_exit, default_retval=True)(
pair=trade.pair, trade=trade, order_type=order_type, amount=amount, rate=limit,
time_in_force=time_in_force,
sell_reason=sell_reason.value):
logger.info(f"User requested abortion of selling {trade.pair}")
return False
# Execute sell and update trade record
order = self.exchange.sell(pair=str(trade.pair),
ordertype=order_type,
amount=amount, rate=limit,
time_in_force=self.strategy.order_time_in_force['sell']
time_in_force=time_in_force
)
trade.open_order_id = order['id']
@ -1200,7 +1238,7 @@ class FreqtradeBot:
# Update trade with order values
logger.info('Found open order for %s', trade)
try:
order = action_order or self.exchange.get_order(order_id, trade.pair)
order = action_order or self.exchange.fetch_order(order_id, trade.pair)
except InvalidOrderException as exception:
logger.warning('Unable to fetch order %s: %s', order_id, exception)
return False

View File

@ -65,20 +65,6 @@ class Backtesting:
self.strategylist: List[IStrategy] = []
self.exchange = ExchangeResolver.load_exchange(self.config['exchange']['name'], self.config)
self.pairlists = PairListManager(self.exchange, self.config)
if 'VolumePairList' in self.pairlists.name_list:
raise OperationalException("VolumePairList not allowed for backtesting.")
self.pairlists.refresh_pairlist()
if len(self.pairlists.whitelist) == 0:
raise OperationalException("No pair in whitelist.")
if config.get('fee'):
self.fee = config['fee']
else:
self.fee = self.exchange.get_fee(symbol=self.pairlists.whitelist[0])
if self.config.get('runmode') != RunMode.HYPEROPT:
self.dataprovider = DataProvider(self.config, self.exchange)
IStrategy.dp = self.dataprovider
@ -101,6 +87,25 @@ class Backtesting:
self.timeframe = str(self.config.get('timeframe'))
self.timeframe_min = timeframe_to_minutes(self.timeframe)
self.pairlists = PairListManager(self.exchange, self.config)
if 'VolumePairList' in self.pairlists.name_list:
raise OperationalException("VolumePairList not allowed for backtesting.")
if len(self.strategylist) > 1 and 'PrecisionFilter' in self.pairlists.name_list:
raise OperationalException(
"PrecisionFilter not allowed for backtesting multiple strategies."
)
self.pairlists.refresh_pairlist()
if len(self.pairlists.whitelist) == 0:
raise OperationalException("No pair in whitelist.")
if config.get('fee'):
self.fee = config['fee']
else:
self.fee = self.exchange.get_fee(symbol=self.pairlists.whitelist[0])
# Get maximum required startup period
self.required_startup = max([strat.startup_candle_count for strat in self.strategylist])
# Load one (first) strategy

View File

@ -0,0 +1,76 @@
"""
Minimum age (days listed) pair list filter
"""
import logging
import arrow
from typing import Any, Dict
from freqtrade.misc import plural
from freqtrade.pairlist.IPairList import IPairList
logger = logging.getLogger(__name__)
class AgeFilter(IPairList):
# Checked symbols cache (dictionary of ticker symbol => timestamp)
_symbolsChecked: Dict[str, int] = {}
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)
self._min_days_listed = pairlistconfig.get('min_days_listed', 10)
self._enabled = self._min_days_listed >= 1
@property
def needstickers(self) -> bool:
"""
Boolean property defining if tickers are necessary.
If no Pairlist requires 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 age less than "
f"{self._min_days_listed} {plural(self._min_days_listed, 'day')}.")
def _validate_pair(self, ticker: dict) -> bool:
"""
Validate age for the ticker
:param ticker: ticker dict as returned from ccxt.load_markets()
:return: True if the pair can stay, False if it should be removed
"""
# Check symbol in cache
if ticker['symbol'] in self._symbolsChecked:
return True
since_ms = int(arrow.utcnow()
.floor('day')
.shift(days=-self._min_days_listed)
.float_timestamp) * 1000
daily_candles = self._exchange.get_historic_ohlcv(pair=ticker['symbol'],
timeframe='1d',
since_ms=since_ms)
if daily_candles is not None:
if len(daily_candles) > self._min_days_listed:
# We have fetched at least the minimum required number of daily candles
# Add to cache, store the time we last checked this symbol
self._symbolsChecked[ticker['symbol']] = int(arrow.utcnow().float_timestamp) * 1000
return True
else:
self.log_on_refresh(logger.info, f"Removed {ticker['symbol']} from whitelist, "
f"because age {len(daily_candles)} is less than "
f"{self._min_days_listed} "
f"{plural(self._min_days_listed, 'day')}")
return False
return False

View File

@ -68,7 +68,7 @@ class IPairList(ABC):
def needstickers(self) -> bool:
"""
Boolean property defining if tickers are necessary.
If no Pairlist requries tickers, an empty List is passed
If no Pairlist requires tickers, an empty List is passed
as tickers argument to filter_pairlist
"""

View File

@ -5,7 +5,7 @@ import logging
from typing import Any, Dict
from freqtrade.pairlist.IPairList import IPairList
from freqtrade.exceptions import OperationalException
logger = logging.getLogger(__name__)
@ -17,6 +17,10 @@ class PrecisionFilter(IPairList):
pairlist_pos: int) -> None:
super().__init__(exchange, pairlistmanager, config, pairlistconfig, pairlist_pos)
if 'stoploss' not in self._config:
raise OperationalException(
'PrecisionFilter can only work with stoploss defined. Please add the '
'stoploss key to your configuration (overwrites eventual strategy settings).')
self._stoploss = self._config['stoploss']
self._enabled = self._stoploss != 0
@ -27,7 +31,7 @@ class PrecisionFilter(IPairList):
def needstickers(self) -> bool:
"""
Boolean property defining if tickers are necessary.
If no Pairlist requries tickers, an empty List is passed
If no Pairlist requires tickers, an empty List is passed
as tickers argument to filter_pairlist
"""
return True

View File

@ -24,7 +24,7 @@ class PriceFilter(IPairList):
def needstickers(self) -> bool:
"""
Boolean property defining if tickers are necessary.
If no Pairlist requries tickers, an empty List is passed
If no Pairlist requires tickers, an empty List is passed
as tickers argument to filter_pairlist
"""
return True

View File

@ -25,7 +25,7 @@ class ShuffleFilter(IPairList):
def needstickers(self) -> bool:
"""
Boolean property defining if tickers are necessary.
If no Pairlist requries tickers, an empty List is passed
If no Pairlist requires tickers, an empty List is passed
as tickers argument to filter_pairlist
"""
return False

View File

@ -24,7 +24,7 @@ class SpreadFilter(IPairList):
def needstickers(self) -> bool:
"""
Boolean property defining if tickers are necessary.
If no Pairlist requries tickers, an empty List is passed
If no Pairlist requires tickers, an empty List is passed
as tickers argument to filter_pairlist
"""
return True

View File

@ -28,7 +28,7 @@ class StaticPairList(IPairList):
def needstickers(self) -> bool:
"""
Boolean property defining if tickers are necessary.
If no Pairlist requries tickers, an empty List is passed
If no Pairlist requires tickers, an empty List is passed
as tickers argument to filter_pairlist
"""
return False

View File

@ -54,7 +54,7 @@ class VolumePairList(IPairList):
def needstickers(self) -> bool:
"""
Boolean property defining if tickers are necessary.
If no Pairlist requries tickers, an empty List is passed
If no Pairlist requires tickers, an empty List is passed
as tickers argument to filter_pairlist
"""
return True

View File

@ -360,7 +360,7 @@ class Trade(_DECL_BASE):
def update(self, order: Dict) -> None:
"""
Updates this entity with amount and actual open/close rates.
:param order: order retrieved by exchange.get_order()
:param order: order retrieved by exchange.fetch_order()
:return: None
"""
order_type = order['type']

View File

@ -17,6 +17,7 @@ from werkzeug.serving import make_server
from freqtrade.__init__ import __version__
from freqtrade.rpc.rpc import RPC, RPCException
from freqtrade.rpc.fiat_convert import CryptoToFiatConverter
logger = logging.getLogger(__name__)
@ -90,7 +91,9 @@ class ApiServer(RPC):
self._config = freqtrade.config
self.app = Flask(__name__)
self._cors = CORS(self.app,
resources={r"/api/*": {"supports_credentials": True, }}
resources={r"/api/*": {
"supports_credentials": True,
"origins": self._config['api_server'].get('CORS_origins', [])}}
)
# Setup the Flask-JWT-Extended extension
@ -103,6 +106,9 @@ class ApiServer(RPC):
# Register application handling
self.register_rest_rpc_urls()
if self._config.get('fiat_display_currency', None):
self._fiat_converter = CryptoToFiatConverter()
thread = threading.Thread(target=self.run, daemon=True)
thread.start()

View File

@ -11,7 +11,7 @@ from typing import Any, Dict, List, Optional, Tuple
import arrow
from numpy import NAN, mean
from freqtrade.exceptions import DependencyException, TemporaryError
from freqtrade.exceptions import ExchangeError, PricingError
from freqtrade.misc import shorten_date
from freqtrade.persistence import Trade
from freqtrade.rpc.fiat_convert import CryptoToFiatConverter
@ -126,11 +126,11 @@ class RPC:
for trade in trades:
order = None
if trade.open_order_id:
order = self._freqtrade.exchange.get_order(trade.open_order_id, trade.pair)
order = self._freqtrade.exchange.fetch_order(trade.open_order_id, trade.pair)
# calculate profit and send message to user
try:
current_rate = self._freqtrade.get_sell_rate(trade.pair, False)
except DependencyException:
except (ExchangeError, PricingError):
current_rate = NAN
current_profit = trade.calc_profit_ratio(current_rate)
current_profit_abs = trade.calc_profit(current_rate)
@ -174,7 +174,7 @@ class RPC:
# calculate profit and send message to user
try:
current_rate = self._freqtrade.get_sell_rate(trade.pair, False)
except DependencyException:
except (PricingError, ExchangeError):
current_rate = NAN
trade_percent = (100 * trade.calc_profit_ratio(current_rate))
trade_profit = trade.calc_profit(current_rate)
@ -269,6 +269,8 @@ class RPC:
profit_closed_coin = []
profit_closed_ratio = []
durations = []
winning_trades = 0
losing_trades = 0
for trade in trades:
current_rate: float = 0.0
@ -282,11 +284,15 @@ class RPC:
profit_ratio = trade.close_profit
profit_closed_coin.append(trade.close_profit_abs)
profit_closed_ratio.append(profit_ratio)
if trade.close_profit >= 0:
winning_trades += 1
else:
losing_trades += 1
else:
# Get current rate
try:
current_rate = self._freqtrade.get_sell_rate(trade.pair, False)
except DependencyException:
except (PricingError, ExchangeError):
current_rate = NAN
profit_ratio = trade.calc_profit_ratio(rate=current_rate)
@ -344,6 +350,8 @@ class RPC:
'avg_duration': str(timedelta(seconds=sum(durations) / num)).split('.')[0],
'best_pair': best_pair[0] if best_pair else '',
'best_rate': round(best_pair[1] * 100, 2) if best_pair else 0,
'winning_trades': winning_trades,
'losing_trades': losing_trades,
}
def _rpc_balance(self, stake_currency: str, fiat_display_currency: str) -> Dict:
@ -352,7 +360,7 @@ class RPC:
total = 0.0
try:
tickers = self._freqtrade.exchange.get_tickers()
except (TemporaryError, DependencyException):
except (ExchangeError):
raise RPCException('Error getting current tickers.')
self._freqtrade.wallets.update(require_update=False)
@ -373,7 +381,7 @@ class RPC:
if pair.startswith(stake_currency):
rate = 1.0 / rate
est_stake = rate * balance.total
except (TemporaryError, DependencyException):
except (ExchangeError):
logger.warning(f" Could not get rate for pair {coin}.")
continue
total = total + (est_stake or 0)
@ -442,7 +450,7 @@ class RPC:
def _exec_forcesell(trade: Trade) -> None:
# Check if there is there is an open order
if trade.open_order_id:
order = self._freqtrade.exchange.get_order(trade.open_order_id, trade.pair)
order = self._freqtrade.exchange.fetch_order(trade.open_order_id, trade.pair)
# Cancel open LIMIT_BUY orders and close trade
if order and order['status'] == 'open' \

View File

@ -366,7 +366,9 @@ class Telegram(RPC):
f"∙ `{profit_all_fiat:.3f} {fiat_disp_cur}`\n"
f"*Total Trade Count:* `{trade_count}`\n"
f"*First Trade opened:* `{first_trade_date}`\n"
f"*Latest Trade opened:* `{latest_trade_date}`")
f"*Latest Trade opened:* `{latest_trade_date}\n`"
f"*Win / Loss:* `{stats['winning_trades']} / {stats['losing_trades']}`"
)
if stats['closed_trade_count'] > 0:
markdown_msg += (f"\n*Avg. Duration:* `{avg_duration}`\n"
f"*Best Performing:* `{best_pair}: {best_rate:.2f}%`")

View File

@ -7,20 +7,19 @@ import warnings
from abc import ABC, abstractmethod
from datetime import datetime, timezone
from enum import Enum
from typing import Dict, NamedTuple, Optional, Tuple
from typing import Dict, List, NamedTuple, Optional, Tuple
import arrow
from pandas import DataFrame
from freqtrade.constants import ListPairsWithTimeframes
from freqtrade.data.dataprovider import DataProvider
from freqtrade.exceptions import StrategyError
from freqtrade.exceptions import StrategyError, OperationalException
from freqtrade.exchange import timeframe_to_minutes
from freqtrade.persistence import Trade
from freqtrade.strategy.strategy_wrapper import strategy_safe_wrapper
from freqtrade.constants import ListPairsWithTimeframes
from freqtrade.wallets import Wallets
logger = logging.getLogger(__name__)
@ -191,6 +190,63 @@ class IStrategy(ABC):
"""
return False
def bot_loop_start(self, **kwargs) -> None:
"""
Called at the start of the bot iteration (one loop).
Might be used to perform pair-independent tasks
(e.g. gather some remote resource for comparison)
:param **kwargs: Ensure to keep this here so updates to this won't break your strategy.
"""
pass
def confirm_trade_entry(self, pair: str, order_type: str, amount: float, rate: float,
time_in_force: str, **kwargs) -> bool:
"""
Called right before placing a buy order.
Timing for this function is critical, so avoid doing heavy computations or
network requests in this method.
For full documentation please go to https://www.freqtrade.io/en/latest/strategy-advanced/
When not implemented by a strategy, returns True (always confirming).
:param pair: Pair that's about to be bought.
:param order_type: Order type (as configured in order_types). usually limit or market.
:param amount: Amount in target (quote) currency that's going to be traded.
:param rate: Rate that's going to be used when using limit orders
:param time_in_force: Time in force. Defaults to GTC (Good-til-cancelled).
:param **kwargs: Ensure to keep this here so updates to this won't break your strategy.
:return bool: When True is returned, then the buy-order is placed on the exchange.
False aborts the process
"""
return True
def confirm_trade_exit(self, pair: str, trade: Trade, order_type: str, amount: float,
rate: float, time_in_force: str, sell_reason: str, **kwargs) -> bool:
"""
Called right before placing a regular sell order.
Timing for this function is critical, so avoid doing heavy computations or
network requests in this method.
For full documentation please go to https://www.freqtrade.io/en/latest/strategy-advanced/
When not implemented by a strategy, returns True (always confirming).
:param pair: Pair that's about to be sold.
:param trade: trade object.
:param order_type: Order type (as configured in order_types). usually limit or market.
:param amount: Amount in quote currency.
:param rate: Rate that's going to be used when using limit orders
:param time_in_force: Time in force. Defaults to GTC (Good-til-cancelled).
:param sell_reason: Sell reason.
Can be any of ['roi', 'stop_loss', 'stoploss_on_exchange', 'trailing_stop_loss',
'sell_signal', 'force_sell', 'emergency_sell']
:param **kwargs: Ensure to keep this here so updates to this won't break your strategy.
:return bool: When True is returned, then the sell-order is placed on the exchange.
False aborts the process
"""
return True
def informative_pairs(self) -> ListPairsWithTimeframes:
"""
Define additional, informative pair/interval combinations to be cached from the exchange.
@ -204,6 +260,10 @@ class IStrategy(ABC):
"""
return []
###
# END - Intended to be overridden by strategy
###
def get_strategy_name(self) -> str:
"""
Returns strategy class name
@ -273,6 +333,8 @@ class IStrategy(ABC):
# Defs that only make change on new candle data.
dataframe = self.analyze_ticker(dataframe, metadata)
self._last_candle_seen_per_pair[pair] = dataframe.iloc[-1]['date']
if self.dp:
self.dp._set_cached_df(pair, self.timeframe, dataframe)
else:
logger.debug("Skipping TA Analysis for already analyzed candle")
dataframe['buy'] = 0
@ -284,13 +346,53 @@ class IStrategy(ABC):
return dataframe
def analyze_pair(self, pair: str) -> None:
"""
Fetch data for this pair from dataprovider and analyze.
Stores the dataframe into the dataprovider.
The analyzed dataframe is then accessible via `dp.get_analyzed_dataframe()`.
:param pair: Pair to analyze.
"""
if not self.dp:
raise OperationalException("DataProvider not found.")
dataframe = self.dp.ohlcv(pair, self.timeframe)
if not isinstance(dataframe, DataFrame) or dataframe.empty:
logger.warning('Empty candle (OHLCV) data for pair %s', pair)
return
try:
df_len, df_close, df_date = self.preserve_df(dataframe)
dataframe = strategy_safe_wrapper(
self._analyze_ticker_internal, message=""
)(dataframe, {'pair': pair})
self.assert_df(dataframe, df_len, df_close, df_date)
except StrategyError as error:
logger.warning(f"Unable to analyze candle (OHLCV) data for pair {pair}: {error}")
return
if dataframe.empty:
logger.warning('Empty dataframe for pair %s', pair)
return
def analyze(self, pairs: List[str]) -> None:
"""
Analyze all pairs using analyze_pair().
:param pairs: List of pairs to analyze
"""
for pair in pairs:
self.analyze_pair(pair)
@staticmethod
def preserve_df(dataframe: DataFrame) -> Tuple[int, float, datetime]:
""" keep some data for dataframes """
return len(dataframe), dataframe["close"].iloc[-1], dataframe["date"].iloc[-1]
def assert_df(self, dataframe: DataFrame, df_len: int, df_close: float, df_date: datetime):
""" make sure data is unmodified """
"""
Ensure dataframe (length, last candle) was not modified, and has all elements we need.
"""
message = ""
if df_len != len(dataframe):
message = "length"
@ -304,31 +406,17 @@ class IStrategy(ABC):
else:
raise StrategyError(f"Dataframe returned from strategy has mismatching {message}.")
def get_signal(self, pair: str, interval: str, dataframe: DataFrame) -> Tuple[bool, bool]:
def get_signal(self, pair: str, timeframe: str, dataframe: DataFrame) -> Tuple[bool, bool]:
"""
Calculates current signal based several technical analysis indicators
Calculates current signal based based on the buy / sell columns of the dataframe.
Used by Bot to get the signal to buy or sell
:param pair: pair in format ANT/BTC
:param interval: Interval to use (in min)
:param dataframe: Dataframe to analyze
:param timeframe: timeframe to use
:param dataframe: Analyzed dataframe to get signal from.
:return: (Buy, Sell) A bool-tuple indicating buy/sell signal
"""
if not isinstance(dataframe, DataFrame) or dataframe.empty:
logger.warning('Empty candle (OHLCV) data for pair %s', pair)
return False, False
try:
df_len, df_close, df_date = self.preserve_df(dataframe)
dataframe = strategy_safe_wrapper(
self._analyze_ticker_internal, message=""
)(dataframe, {'pair': pair})
self.assert_df(dataframe, df_len, df_close, df_date)
except StrategyError as error:
logger.warning(f"Unable to analyze candle (OHLCV) data for pair {pair}: {error}")
return False, False
if dataframe.empty:
logger.warning('Empty dataframe for pair %s', pair)
logger.warning(f'Empty candle (OHLCV) data for pair {pair}')
return False, False
latest_date = dataframe['date'].max()
@ -337,24 +425,18 @@ class IStrategy(ABC):
latest_date = arrow.get(latest_date)
# Check if dataframe is out of date
interval_minutes = timeframe_to_minutes(interval)
timeframe_minutes = timeframe_to_minutes(timeframe)
offset = self.config.get('exchange', {}).get('outdated_offset', 5)
if latest_date < (arrow.utcnow().shift(minutes=-(interval_minutes * 2 + offset))):
if latest_date < (arrow.utcnow().shift(minutes=-(timeframe_minutes * 2 + offset))):
logger.warning(
'Outdated history for pair %s. Last tick is %s minutes old',
pair,
(arrow.utcnow() - latest_date).seconds // 60
pair, (arrow.utcnow() - latest_date).seconds // 60
)
return False, False
(buy, sell) = latest[SignalType.BUY.value] == 1, latest[SignalType.SELL.value] == 1
logger.debug(
'trigger: %s (pair=%s) buy=%s sell=%s',
latest['date'],
pair,
str(buy),
str(sell)
)
logger.debug('trigger: %s (pair=%s) buy=%s sell=%s',
latest['date'], pair, str(buy), str(sell))
return buy, sell
def should_sell(self, trade: Trade, rate: float, date: datetime, buy: bool,
@ -500,7 +582,8 @@ class IStrategy(ABC):
def ohlcvdata_to_dataframe(self, data: Dict[str, DataFrame]) -> Dict[str, DataFrame]:
"""
Creates a dataframe and populates indicators for given candle (OHLCV) data
Populates indicators for given candle (OHLCV) data (for multiple pairs)
Does not run advice_buy or advise_sell!
Used by optimize operations only, not during dry / live runs.
Using .copy() to get a fresh copy of the dataframe for every strategy run.
Has positive effects on memory usage for whatever reason - also when

View File

@ -5,7 +5,7 @@ from freqtrade.exceptions import StrategyError
logger = logging.getLogger(__name__)
def strategy_safe_wrapper(f, message: str = "", default_retval=None):
def strategy_safe_wrapper(f, message: str = "", default_retval=None, supress_error=False):
"""
Wrapper around user-provided methods and functions.
Caches all exceptions and returns either the default_retval (if it's not None) or raises
@ -20,7 +20,7 @@ def strategy_safe_wrapper(f, message: str = "", default_retval=None):
f"Strategy caused the following exception: {error}"
f"{f}"
)
if default_retval is None:
if default_retval is None and not supress_error:
raise StrategyError(str(error)) from error
return default_retval
except Exception as error:
@ -28,7 +28,7 @@ def strategy_safe_wrapper(f, message: str = "", default_retval=None):
f"{message}"
f"Unexpected error {error} calling {f}"
)
if default_retval is None:
if default_retval is None and not supress_error:
raise StrategyError(str(error)) from error
return default_retval

View File

@ -59,6 +59,7 @@
"listen_port": 8080,
"verbosity": "info",
"jwt_secret_key": "somethingrandom",
"CORS_origins": [],
"username": "",
"password": ""
},

View File

@ -1,4 +1,65 @@
def bot_loop_start(self, **kwargs) -> None:
"""
Called at the start of the bot iteration (one loop).
Might be used to perform pair-independent tasks
(e.g. gather some remote ressource for comparison)
For full documentation please go to https://www.freqtrade.io/en/latest/strategy-advanced/
When not implemented by a strategy, this simply does nothing.
:param **kwargs: Ensure to keep this here so updates to this won't break your strategy.
"""
pass
def confirm_trade_entry(self, pair: str, order_type: str, amount: float, rate: float,
time_in_force: str, **kwargs) -> bool:
"""
Called right before placing a buy order.
Timing for this function is critical, so avoid doing heavy computations or
network requests in this method.
For full documentation please go to https://www.freqtrade.io/en/latest/strategy-advanced/
When not implemented by a strategy, returns True (always confirming).
:param pair: Pair that's about to be bought.
:param order_type: Order type (as configured in order_types). usually limit or market.
:param amount: Amount in target (quote) currency that's going to be traded.
:param rate: Rate that's going to be used when using limit orders
:param time_in_force: Time in force. Defaults to GTC (Good-til-cancelled).
:param **kwargs: Ensure to keep this here so updates to this won't break your strategy.
:return bool: When True is returned, then the buy-order is placed on the exchange.
False aborts the process
"""
return True
def confirm_trade_exit(self, pair: str, trade: Trade, order_type: str, amount: float,
rate: float, time_in_force: str, sell_reason: str, **kwargs) -> bool:
"""
Called right before placing a regular sell order.
Timing for this function is critical, so avoid doing heavy computations or
network requests in this method.
For full documentation please go to https://www.freqtrade.io/en/latest/strategy-advanced/
When not implemented by a strategy, returns True (always confirming).
:param pair: Pair that's about to be sold.
:param trade: trade object.
:param order_type: Order type (as configured in order_types). usually limit or market.
:param amount: Amount in quote currency.
:param rate: Rate that's going to be used when using limit orders
:param time_in_force: Time in force. Defaults to GTC (Good-til-cancelled).
:param sell_reason: Sell reason.
Can be any of ['roi', 'stop_loss', 'stoploss_on_exchange', 'trailing_stop_loss',
'sell_signal', 'force_sell', 'emergency_sell']
:param **kwargs: Ensure to keep this here so updates to this won't break your strategy.
:return bool: When True is returned, then the sell-order is placed on the exchange.
False aborts the process
"""
return True
def check_buy_timeout(self, pair: str, trade: 'Trade', order: dict, **kwargs) -> bool:
"""
Check buy timeout function callback.

View File

@ -90,6 +90,9 @@ class Worker:
if state == State.RUNNING:
self.freqtrade.startup()
if state == State.STOPPED:
self.freqtrade.check_for_open_trades()
# Reset heartbeat timestamp to log the heartbeat message at
# first throttling iteration when the state changes
self._heartbeat_msg = 0

View File

@ -3,6 +3,7 @@ nav:
- Home: index.md
- Installation Docker: docker.md
- Installation: installation.md
- Freqtrade Basics: bot-basics.md
- Configuration: configuration.md
- Strategy Customization: strategy-customization.md
- Stoploss: stoploss.md

View File

@ -1,11 +1,11 @@
# requirements without requirements installable via conda
# mainly used for Raspberry pi installs
ccxt==1.30.2
SQLAlchemy==1.3.17
python-telegram-bot==12.7
arrow==0.15.6
cachetools==4.1.0
requests==2.23.0
ccxt==1.30.64
SQLAlchemy==1.3.18
python-telegram-bot==12.8
arrow==0.15.7
cachetools==4.1.1
requests==2.24.0
urllib3==1.25.9
wrapt==1.12.1
jsonschema==3.2.0

View File

@ -7,9 +7,9 @@ coveralls==2.0.0
flake8==3.8.3
flake8-type-annotations==0.1.0
flake8-tidy-imports==4.1.0
mypy==0.780
mypy==0.782
pytest==5.4.3
pytest-asyncio==0.12.0
pytest-asyncio==0.14.0
pytest-cov==2.10.0
pytest-mock==3.1.1
pytest-random-order==1.0.4

View File

@ -2,9 +2,9 @@
-r requirements.txt
# Required for hyperopt
scipy==1.4.1
scipy==1.5.1
scikit-learn==0.23.1
scikit-optimize==0.7.4
filelock==3.0.12
joblib==0.15.1
progressbar2==3.51.3
joblib==0.16.0
progressbar2==3.51.4

View File

@ -1,5 +1,5 @@
# Include all requirements to run the bot.
-r requirements.txt
plotly==4.8.1
plotly==4.8.2

View File

@ -1,5 +1,5 @@
# Load common requirements
-r requirements-common.txt
numpy==1.18.5
pandas==1.0.4
numpy==1.19.0
pandas==1.0.5

View File

@ -163,7 +163,7 @@ def patch_get_signal(freqtrade: FreqtradeBot, value=(True, False)) -> None:
:param value: which value IStrategy.get_signal() must return
:return: None
"""
freqtrade.strategy.get_signal = lambda e, s, t: value
freqtrade.strategy.get_signal = lambda e, s, x: value
freqtrade.exchange.refresh_latest_ohlcv = lambda p: None
@ -787,6 +787,7 @@ def limit_buy_order():
'price': 0.00001099,
'amount': 90.99181073,
'filled': 90.99181073,
'cost': 0.0009999,
'remaining': 0.0,
'status': 'closed'
}
@ -1424,7 +1425,7 @@ def trades_for_order():
@pytest.fixture(scope="function")
def trades_history():
return [[1565798399463, '126181329', None, 'buy', 0.019627, 0.04, 0.00078508],
return [[1565798389463, '126181329', None, 'buy', 0.019627, 0.04, 0.00078508],
[1565798399629, '126181330', None, 'buy', 0.019627, 0.244, 0.004788987999999999],
[1565798399752, '126181331', None, 'sell', 0.019626, 0.011, 0.00021588599999999999],
[1565798399862, '126181332', None, 'sell', 0.019626, 0.011, 0.00021588599999999999],

View File

@ -1,11 +1,12 @@
from datetime import datetime, timezone
from unittest.mock import MagicMock
from pandas import DataFrame
import pytest
from pandas import DataFrame
from freqtrade.data.dataprovider import DataProvider
from freqtrade.exceptions import ExchangeError, OperationalException
from freqtrade.pairlist.pairlistmanager import PairListManager
from freqtrade.exceptions import DependencyException, OperationalException
from freqtrade.state import RunMode
from tests.conftest import get_patched_exchange
@ -164,7 +165,7 @@ def test_ticker(mocker, default_conf, tickers):
assert 'symbol' in res
assert res['symbol'] == 'ETH/BTC'
ticker_mock = MagicMock(side_effect=DependencyException('Pair not found'))
ticker_mock = MagicMock(side_effect=ExchangeError('Pair not found'))
mocker.patch("freqtrade.exchange.Exchange.fetch_ticker", ticker_mock)
exchange = get_patched_exchange(mocker, default_conf)
dp = DataProvider(default_conf, exchange)
@ -194,3 +195,29 @@ def test_current_whitelist(mocker, default_conf, tickers):
with pytest.raises(OperationalException):
dp = DataProvider(default_conf, exchange)
dp.current_whitelist()
def test_get_analyzed_dataframe(mocker, default_conf, ohlcv_history):
default_conf["runmode"] = RunMode.DRY_RUN
timeframe = default_conf["timeframe"]
exchange = get_patched_exchange(mocker, default_conf)
dp = DataProvider(default_conf, exchange)
dp._set_cached_df("XRP/BTC", timeframe, ohlcv_history)
dp._set_cached_df("UNITTEST/BTC", timeframe, ohlcv_history)
assert dp.runmode == RunMode.DRY_RUN
dataframe, time = dp.get_analyzed_dataframe("UNITTEST/BTC", timeframe)
assert ohlcv_history.equals(dataframe)
assert isinstance(time, datetime)
dataframe, time = dp.get_analyzed_dataframe("XRP/BTC", timeframe)
assert ohlcv_history.equals(dataframe)
assert isinstance(time, datetime)
dataframe, time = dp.get_analyzed_dataframe("NOTHING/BTC", timeframe)
assert dataframe.empty
assert isinstance(time, datetime)
assert time == datetime(1970, 1, 1, tzinfo=timezone.utc)

View File

@ -557,6 +557,7 @@ def test_download_trades_history(trades_history, mocker, default_conf, testdatad
assert ght_mock.call_count == 1
# Check this in seconds - since we had to convert to seconds above too.
assert int(ght_mock.call_args_list[0][1]['since'] // 1000) == since_time2 - 5
assert ght_mock.call_args_list[0][1]['from_id'] is not None
# clean files freshly downloaded
_clean_test_file(file1)
@ -568,6 +569,27 @@ def test_download_trades_history(trades_history, mocker, default_conf, testdatad
pair='ETH/BTC')
assert log_has_re('Failed to download historic trades for pair: "ETH/BTC".*', caplog)
file2 = testdatadir / 'XRP_ETH-trades.json.gz'
_backup_file(file2, True)
ght_mock.reset_mock()
mocker.patch('freqtrade.exchange.Exchange.get_historic_trades',
ght_mock)
# Since before first start date
since_time = int(trades_history[0][0] // 1000) - 500
timerange = TimeRange('date', None, since_time, 0)
assert _download_trades_history(data_handler=data_handler, exchange=exchange,
pair='XRP/ETH', timerange=timerange)
assert ght_mock.call_count == 1
assert int(ght_mock.call_args_list[0][1]['since'] // 1000) == since_time
assert ght_mock.call_args_list[0][1]['from_id'] is None
assert log_has_re(r'Start earlier than available data. Redownloading trades for.*', caplog)
_clean_test_file(file2)
def test_convert_trades_to_ohlcv(mocker, default_conf, testdatadir, caplog):

View File

@ -5,8 +5,9 @@ import ccxt
import pytest
from freqtrade.exceptions import (DependencyException, InvalidOrderException,
OperationalException, TemporaryError)
OperationalException)
from tests.conftest import get_patched_exchange
from tests.exchange.test_exchange import ccxt_exceptionhandlers
@pytest.mark.parametrize('limitratio,expected', [
@ -62,15 +63,9 @@ def test_stoploss_order_binance(default_conf, mocker, limitratio, expected):
exchange = get_patched_exchange(mocker, default_conf, api_mock, 'binance')
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(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(pair='ETH/BTC', amount=1, stop_price=220, order_types={})
ccxt_exceptionhandlers(mocker, default_conf, api_mock, "binance",
"stoploss", "create_order", retries=1,
pair='ETH/BTC', amount=1, stop_price=220, order_types={})
def test_stoploss_order_dry_run_binance(default_conf, mocker):

View File

@ -4,17 +4,17 @@ import copy
import logging
from datetime import datetime, timezone
from random import randint
from unittest.mock import MagicMock, Mock, PropertyMock
from unittest.mock import MagicMock, Mock, PropertyMock, patch
import arrow
import ccxt
import pytest
from pandas import DataFrame
from freqtrade.exceptions import (DependencyException, InvalidOrderException,
from freqtrade.exceptions import (DependencyException, InvalidOrderException, DDosProtection,
OperationalException, TemporaryError)
from freqtrade.exchange import Binance, Exchange, Kraken
from freqtrade.exchange.common import API_RETRY_COUNT
from freqtrade.exchange.common import API_RETRY_COUNT, calculate_backoff
from freqtrade.exchange.exchange import (market_is_active, symbol_is_pair,
timeframe_to_minutes,
timeframe_to_msecs,
@ -37,12 +37,20 @@ def get_mock_coro(return_value):
def ccxt_exceptionhandlers(mocker, default_conf, api_mock, exchange_name,
fun, mock_ccxt_fun, **kwargs):
fun, mock_ccxt_fun, retries=API_RETRY_COUNT + 1, **kwargs):
with patch('freqtrade.exchange.common.time.sleep'):
with pytest.raises(DDosProtection):
api_mock.__dict__[mock_ccxt_fun] = MagicMock(side_effect=ccxt.DDoSProtection("DDos"))
exchange = get_patched_exchange(mocker, default_conf, api_mock, id=exchange_name)
getattr(exchange, fun)(**kwargs)
assert api_mock.__dict__[mock_ccxt_fun].call_count == retries
with pytest.raises(TemporaryError):
api_mock.__dict__[mock_ccxt_fun] = MagicMock(side_effect=ccxt.NetworkError("DeaDBeef"))
exchange = get_patched_exchange(mocker, default_conf, api_mock, id=exchange_name)
getattr(exchange, fun)(**kwargs)
assert api_mock.__dict__[mock_ccxt_fun].call_count == API_RETRY_COUNT + 1
assert api_mock.__dict__[mock_ccxt_fun].call_count == retries
with pytest.raises(OperationalException):
api_mock.__dict__[mock_ccxt_fun] = MagicMock(side_effect=ccxt.BaseError("DeadBeef"))
@ -51,12 +59,21 @@ def ccxt_exceptionhandlers(mocker, default_conf, api_mock, exchange_name,
assert api_mock.__dict__[mock_ccxt_fun].call_count == 1
async def async_ccxt_exception(mocker, default_conf, api_mock, fun, mock_ccxt_fun, **kwargs):
async def async_ccxt_exception(mocker, default_conf, api_mock, fun, mock_ccxt_fun,
retries=API_RETRY_COUNT + 1, **kwargs):
with patch('freqtrade.exchange.common.asyncio.sleep', get_mock_coro(None)):
with pytest.raises(DDosProtection):
api_mock.__dict__[mock_ccxt_fun] = MagicMock(side_effect=ccxt.DDoSProtection("Dooh"))
exchange = get_patched_exchange(mocker, default_conf, api_mock)
await getattr(exchange, fun)(**kwargs)
assert api_mock.__dict__[mock_ccxt_fun].call_count == retries
with pytest.raises(TemporaryError):
api_mock.__dict__[mock_ccxt_fun] = MagicMock(side_effect=ccxt.NetworkError("DeadBeef"))
exchange = get_patched_exchange(mocker, default_conf, api_mock)
await getattr(exchange, fun)(**kwargs)
assert api_mock.__dict__[mock_ccxt_fun].call_count == API_RETRY_COUNT + 1
assert api_mock.__dict__[mock_ccxt_fun].call_count == retries
with pytest.raises(OperationalException):
api_mock.__dict__[mock_ccxt_fun] = MagicMock(side_effect=ccxt.BaseError("DeadBeef"))
@ -1147,9 +1164,10 @@ def test_get_balance_prod(default_conf, mocker, exchange_name):
exchange.get_balance(currency='BTC')
def test_get_balances_dry_run(default_conf, mocker):
@pytest.mark.parametrize("exchange_name", EXCHANGES)
def test_get_balances_dry_run(default_conf, mocker, exchange_name):
default_conf['dry_run'] = True
exchange = get_patched_exchange(mocker, default_conf)
exchange = get_patched_exchange(mocker, default_conf, id=exchange_name)
assert exchange.get_balances() == {}
@ -1867,36 +1885,48 @@ def test_cancel_stoploss_order(default_conf, mocker, exchange_name):
@pytest.mark.parametrize("exchange_name", EXCHANGES)
def test_get_order(default_conf, mocker, exchange_name):
def test_fetch_order(default_conf, mocker, exchange_name):
default_conf['dry_run'] = True
order = MagicMock()
order.myid = 123
exchange = get_patched_exchange(mocker, default_conf, id=exchange_name)
exchange._dry_run_open_orders['X'] = order
assert exchange.get_order('X', 'TKN/BTC').myid == 123
assert exchange.fetch_order('X', 'TKN/BTC').myid == 123
with pytest.raises(InvalidOrderException, match=r'Tried to get an invalid dry-run-order.*'):
exchange.get_order('Y', 'TKN/BTC')
exchange.fetch_order('Y', 'TKN/BTC')
default_conf['dry_run'] = False
api_mock = MagicMock()
api_mock.fetch_order = MagicMock(return_value=456)
exchange = get_patched_exchange(mocker, default_conf, api_mock, id=exchange_name)
assert exchange.get_order('X', 'TKN/BTC') == 456
assert exchange.fetch_order('X', 'TKN/BTC') == 456
with pytest.raises(InvalidOrderException):
api_mock.fetch_order = MagicMock(side_effect=ccxt.InvalidOrder("Order not found"))
exchange = get_patched_exchange(mocker, default_conf, api_mock, id=exchange_name)
exchange.get_order(order_id='_', pair='TKN/BTC')
exchange.fetch_order(order_id='_', pair='TKN/BTC')
assert api_mock.fetch_order.call_count == 1
api_mock.fetch_order = MagicMock(side_effect=ccxt.OrderNotFound("Order not found"))
exchange = get_patched_exchange(mocker, default_conf, api_mock, id=exchange_name)
with patch('freqtrade.exchange.common.time.sleep') as tm:
with pytest.raises(InvalidOrderException):
exchange.fetch_order(order_id='_', pair='TKN/BTC')
# Ensure backoff is called
assert tm.call_args_list[0][0][0] == 1
assert tm.call_args_list[1][0][0] == 2
assert tm.call_args_list[2][0][0] == 5
assert tm.call_args_list[3][0][0] == 10
assert api_mock.fetch_order.call_count == API_RETRY_COUNT + 1
ccxt_exceptionhandlers(mocker, default_conf, api_mock, exchange_name,
'get_order', 'fetch_order',
'fetch_order', 'fetch_order',
order_id='_', pair='TKN/BTC')
@pytest.mark.parametrize("exchange_name", EXCHANGES)
def test_get_stoploss_order(default_conf, mocker, exchange_name):
def test_fetch_stoploss_order(default_conf, mocker, exchange_name):
# Don't test FTX here - that needs a seperate test
if exchange_name == 'ftx':
return
@ -1905,25 +1935,25 @@ def test_get_stoploss_order(default_conf, mocker, exchange_name):
order.myid = 123
exchange = get_patched_exchange(mocker, default_conf, id=exchange_name)
exchange._dry_run_open_orders['X'] = order
assert exchange.get_stoploss_order('X', 'TKN/BTC').myid == 123
assert exchange.fetch_stoploss_order('X', 'TKN/BTC').myid == 123
with pytest.raises(InvalidOrderException, match=r'Tried to get an invalid dry-run-order.*'):
exchange.get_stoploss_order('Y', 'TKN/BTC')
exchange.fetch_stoploss_order('Y', 'TKN/BTC')
default_conf['dry_run'] = False
api_mock = MagicMock()
api_mock.fetch_order = MagicMock(return_value=456)
exchange = get_patched_exchange(mocker, default_conf, api_mock, id=exchange_name)
assert exchange.get_stoploss_order('X', 'TKN/BTC') == 456
assert exchange.fetch_stoploss_order('X', 'TKN/BTC') == 456
with pytest.raises(InvalidOrderException):
api_mock.fetch_order = MagicMock(side_effect=ccxt.InvalidOrder("Order not found"))
exchange = get_patched_exchange(mocker, default_conf, api_mock, id=exchange_name)
exchange.get_stoploss_order(order_id='_', pair='TKN/BTC')
exchange.fetch_stoploss_order(order_id='_', pair='TKN/BTC')
assert api_mock.fetch_order.call_count == 1
ccxt_exceptionhandlers(mocker, default_conf, api_mock, exchange_name,
'get_stoploss_order', 'fetch_order',
'fetch_stoploss_order', 'fetch_order',
order_id='_', pair='TKN/BTC')
@ -2131,6 +2161,13 @@ def test_get_markets(default_conf, mocker, markets,
assert sorted(pairs.keys()) == sorted(expected_keys)
def test_get_markets_error(default_conf, mocker):
ex = get_patched_exchange(mocker, default_conf)
mocker.patch('freqtrade.exchange.Exchange.markets', PropertyMock(return_value=None))
with pytest.raises(OperationalException, match="Markets were not loaded."):
ex.get_markets('LTC', 'USDT', True, False)
def test_timeframe_to_minutes():
assert timeframe_to_minutes("5m") == 5
assert timeframe_to_minutes("10m") == 10
@ -2291,3 +2328,15 @@ def test_calculate_fee_rate(mocker, default_conf, order, expected) -> None:
ex = get_patched_exchange(mocker, default_conf)
assert ex.calculate_fee_rate(order) == expected
@pytest.mark.parametrize('retrycount,max_retries,expected', [
(0, 3, 10),
(1, 3, 5),
(2, 3, 2),
(3, 3, 1),
(0, 1, 2),
(1, 1, 1),
])
def test_calculate_backoff(retrycount, max_retries, expected):
assert calculate_backoff(retrycount, max_retries) == expected

View File

@ -6,9 +6,9 @@ from unittest.mock import MagicMock
import ccxt
import pytest
from freqtrade.exceptions import (DependencyException, InvalidOrderException,
OperationalException, TemporaryError)
from freqtrade.exceptions import DependencyException, InvalidOrderException
from tests.conftest import get_patched_exchange
from .test_exchange import ccxt_exceptionhandlers
STOPLOSS_ORDERTYPE = 'stop'
@ -85,15 +85,9 @@ def test_stoploss_order_ftx(default_conf, mocker):
exchange = get_patched_exchange(mocker, default_conf, api_mock, 'ftx')
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, 'ftx')
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, 'ftx')
exchange.stoploss(pair='ETH/BTC', amount=1, stop_price=220, order_types={})
ccxt_exceptionhandlers(mocker, default_conf, api_mock, "ftx",
"stoploss", "create_order", retries=1,
pair='ETH/BTC', amount=1, stop_price=220, order_types={})
def test_stoploss_order_dry_run_ftx(default_conf, mocker):
@ -130,34 +124,34 @@ def test_stoploss_adjust_ftx(mocker, default_conf):
assert not exchange.stoploss_adjust(1501, order)
def test_get_stoploss_order(default_conf, mocker):
def test_fetch_stoploss_order(default_conf, mocker):
default_conf['dry_run'] = True
order = MagicMock()
order.myid = 123
exchange = get_patched_exchange(mocker, default_conf, id='ftx')
exchange._dry_run_open_orders['X'] = order
assert exchange.get_stoploss_order('X', 'TKN/BTC').myid == 123
assert exchange.fetch_stoploss_order('X', 'TKN/BTC').myid == 123
with pytest.raises(InvalidOrderException, match=r'Tried to get an invalid dry-run-order.*'):
exchange.get_stoploss_order('Y', 'TKN/BTC')
exchange.fetch_stoploss_order('Y', 'TKN/BTC')
default_conf['dry_run'] = False
api_mock = MagicMock()
api_mock.fetch_orders = MagicMock(return_value=[{'id': 'X', 'status': '456'}])
exchange = get_patched_exchange(mocker, default_conf, api_mock, id='ftx')
assert exchange.get_stoploss_order('X', 'TKN/BTC')['status'] == '456'
assert exchange.fetch_stoploss_order('X', 'TKN/BTC')['status'] == '456'
api_mock.fetch_orders = MagicMock(return_value=[{'id': 'Y', 'status': '456'}])
exchange = get_patched_exchange(mocker, default_conf, api_mock, id='ftx')
with pytest.raises(InvalidOrderException, match=r"Could not get stoploss order for id X"):
exchange.get_stoploss_order('X', 'TKN/BTC')['status']
exchange.fetch_stoploss_order('X', 'TKN/BTC')['status']
with pytest.raises(InvalidOrderException):
api_mock.fetch_orders = MagicMock(side_effect=ccxt.InvalidOrder("Order not found"))
exchange = get_patched_exchange(mocker, default_conf, api_mock, id='ftx')
exchange.get_stoploss_order(order_id='_', pair='TKN/BTC')
exchange.fetch_stoploss_order(order_id='_', pair='TKN/BTC')
assert api_mock.fetch_orders.call_count == 1
ccxt_exceptionhandlers(mocker, default_conf, api_mock, 'ftx',
'get_stoploss_order', 'fetch_orders',
'fetch_stoploss_order', 'fetch_orders',
order_id='_', pair='TKN/BTC')

View File

@ -6,8 +6,7 @@ from unittest.mock import MagicMock
import ccxt
import pytest
from freqtrade.exceptions import (DependencyException, InvalidOrderException,
OperationalException, TemporaryError)
from freqtrade.exceptions import DependencyException, InvalidOrderException
from tests.conftest import get_patched_exchange
from tests.exchange.test_exchange import ccxt_exceptionhandlers
@ -206,15 +205,9 @@ def test_stoploss_order_kraken(default_conf, mocker):
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={})
ccxt_exceptionhandlers(mocker, default_conf, api_mock, "kraken",
"stoploss", "create_order", retries=1,
pair='ETH/BTC', amount=1, stop_price=220, order_types={})
def test_stoploss_order_dry_run_kraken(default_conf, mocker):

View File

@ -401,6 +401,38 @@ def test_backtesting_no_pair_left(default_conf, mocker, caplog, testdatadir) ->
Backtesting(default_conf)
def test_backtesting_pairlist_list(default_conf, mocker, caplog, testdatadir, tickers) -> None:
mocker.patch('freqtrade.exchange.Exchange.exchange_has', MagicMock(return_value=True))
mocker.patch('freqtrade.exchange.Exchange.get_tickers', tickers)
mocker.patch('freqtrade.exchange.Exchange.price_to_precision', lambda s, x, y: y)
mocker.patch('freqtrade.data.history.get_timerange', get_timerange)
patch_exchange(mocker)
mocker.patch('freqtrade.optimize.backtesting.Backtesting.backtest')
mocker.patch('freqtrade.pairlist.pairlistmanager.PairListManager.whitelist',
PropertyMock(return_value=['XRP/BTC']))
mocker.patch('freqtrade.pairlist.pairlistmanager.PairListManager.refresh_pairlist')
default_conf['ticker_interval'] = "1m"
default_conf['datadir'] = testdatadir
default_conf['export'] = None
# Use stoploss from strategy
del default_conf['stoploss']
default_conf['timerange'] = '20180101-20180102'
default_conf['pairlists'] = [{"method": "VolumePairList", "number_assets": 5}]
with pytest.raises(OperationalException, match='VolumePairList not allowed for backtesting.'):
Backtesting(default_conf)
default_conf['pairlists'] = [{"method": "StaticPairList"}, {"method": "PrecisionFilter"}, ]
Backtesting(default_conf)
# Multiple strategies
default_conf['strategy_list'] = ['DefaultStrategy', 'TestStrategyLegacy']
with pytest.raises(OperationalException,
match='PrecisionFilter not allowed for backtesting multiple strategies.'):
Backtesting(default_conf)
def test_backtest(default_conf, fee, mocker, testdatadir) -> None:
default_conf['ask_strategy']['use_sell_signal'] = False
mocker.patch('freqtrade.exchange.Exchange.get_fee', fee)

View File

@ -57,6 +57,31 @@ def whitelist_conf_2(default_conf):
return default_conf
@pytest.fixture(scope="function")
def whitelist_conf_3(default_conf):
default_conf['stake_currency'] = 'BTC'
default_conf['exchange']['pair_whitelist'] = [
'ETH/BTC', 'TKN/BTC', 'BLK/BTC', 'LTC/BTC',
'BTT/BTC', 'HOT/BTC', 'FUEL/BTC', 'XRP/BTC'
]
default_conf['exchange']['pair_blacklist'] = [
'BLK/BTC'
]
default_conf['pairlists'] = [
{
"method": "VolumePairList",
"number_assets": 5,
"sort_key": "quoteVolume",
"refresh_period": 0,
},
{
"method": "AgeFilter",
"min_days_listed": 2
}
]
return default_conf
@pytest.fixture(scope="function")
def static_pl_conf(whitelist_conf):
whitelist_conf['pairlists'] = [
@ -220,11 +245,20 @@ def test_VolumePairList_refresh_empty(mocker, markets_empty, whitelist_conf):
# No pair for ETH, all handlers
([{"method": "StaticPairList"},
{"method": "VolumePairList", "number_assets": 5, "sort_key": "quoteVolume"},
{"method": "AgeFilter", "min_days_listed": 2},
{"method": "PrecisionFilter"},
{"method": "PriceFilter", "low_price_ratio": 0.03},
{"method": "SpreadFilter", "max_spread_ratio": 0.005},
{"method": "ShuffleFilter"}],
"ETH", []),
# AgeFilter and VolumePairList (require 2 days only, all should pass age test)
([{"method": "VolumePairList", "number_assets": 5, "sort_key": "quoteVolume"},
{"method": "AgeFilter", "min_days_listed": 2}],
"BTC", ['ETH/BTC', 'TKN/BTC', 'LTC/BTC', 'XRP/BTC', 'HOT/BTC']),
# AgeFilter and VolumePairList (require 10 days, all should fail age test)
([{"method": "VolumePairList", "number_assets": 5, "sort_key": "quoteVolume"},
{"method": "AgeFilter", "min_days_listed": 10}],
"BTC", []),
# Precisionfilter and quote volume
([{"method": "VolumePairList", "number_assets": 5, "sort_key": "quoteVolume"},
{"method": "PrecisionFilter"}],
@ -272,7 +306,10 @@ def test_VolumePairList_refresh_empty(mocker, markets_empty, whitelist_conf):
# ShuffleFilter, no seed
([{"method": "VolumePairList", "number_assets": 5, "sort_key": "quoteVolume"},
{"method": "ShuffleFilter"}],
"USDT", 3), # whitelist_result is integer -- check only lenght of randomized pairlist
"USDT", 3), # whitelist_result is integer -- check only length of randomized pairlist
# AgeFilter only
([{"method": "AgeFilter", "min_days_listed": 2}],
"BTC", 'filter_at_the_beginning'), # OperationalException expected
# PrecisionFilter after StaticPairList
([{"method": "StaticPairList"},
{"method": "PrecisionFilter"}],
@ -307,8 +344,8 @@ def test_VolumePairList_refresh_empty(mocker, markets_empty, whitelist_conf):
"BTC", 'static_in_the_middle'),
])
def test_VolumePairList_whitelist_gen(mocker, whitelist_conf, shitcoinmarkets, tickers,
pairlists, base_currency, whitelist_result,
caplog) -> None:
ohlcv_history_list, pairlists, base_currency,
whitelist_result, caplog) -> None:
whitelist_conf['pairlists'] = pairlists
whitelist_conf['stake_currency'] = base_currency
@ -324,8 +361,12 @@ def test_VolumePairList_whitelist_gen(mocker, whitelist_conf, shitcoinmarkets, t
freqtrade = get_patched_freqtradebot(mocker, whitelist_conf)
mocker.patch.multiple('freqtrade.exchange.Exchange',
get_tickers=tickers,
markets=PropertyMock(return_value=shitcoinmarkets),
markets=PropertyMock(return_value=shitcoinmarkets)
)
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
get_historic_ohlcv=MagicMock(return_value=ohlcv_history_list),
)
# Set whitelist_result to None if pairlist is invalid and should produce exception
if whitelist_result == 'filter_at_the_beginning':
@ -346,6 +387,10 @@ def test_VolumePairList_whitelist_gen(mocker, whitelist_conf, shitcoinmarkets, t
len(whitelist) == whitelist_result
for pairlist in pairlists:
if pairlist['method'] == 'AgeFilter' and pairlist['min_days_listed'] and \
len(ohlcv_history_list) <= pairlist['min_days_listed']:
assert log_has_re(r'^Removed .* from whitelist, because age .* is less than '
r'.* day.*', caplog)
if pairlist['method'] == 'PrecisionFilter' and whitelist_result:
assert log_has_re(r'^Removed .* from whitelist, because stop price .* '
r'would be <= stop limit.*', caplog)
@ -362,6 +407,17 @@ def test_VolumePairList_whitelist_gen(mocker, whitelist_conf, shitcoinmarkets, t
assert not log_has(logmsg, caplog)
def test_PrecisionFilter_error(mocker, whitelist_conf, tickers) -> None:
whitelist_conf['pairlists'] = [{"method": "StaticPairList"}, {"method": "PrecisionFilter"}]
del whitelist_conf['stoploss']
mocker.patch('freqtrade.exchange.Exchange.exchange_has', MagicMock(return_value=True))
with pytest.raises(OperationalException,
match=r"PrecisionFilter can only work with stoploss defined\..*"):
PairListManager(MagicMock, whitelist_conf)
def test_gen_pair_whitelist_not_supported(mocker, default_conf, tickers) -> None:
default_conf['pairlists'] = [{'method': 'VolumePairList', 'number_assets': 10}]
@ -468,6 +524,29 @@ def test_volumepairlist_caching(mocker, markets, whitelist_conf, tickers):
assert freqtrade.pairlists._pairlist_handlers[0]._last_refresh == lrf
def test_agefilter_caching(mocker, markets, whitelist_conf_3, tickers, ohlcv_history_list):
mocker.patch.multiple('freqtrade.exchange.Exchange',
markets=PropertyMock(return_value=markets),
exchange_has=MagicMock(return_value=True),
get_tickers=tickers
)
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
get_historic_ohlcv=MagicMock(return_value=ohlcv_history_list),
)
freqtrade = get_patched_freqtradebot(mocker, whitelist_conf_3)
assert freqtrade.exchange.get_historic_ohlcv.call_count == 0
freqtrade.pairlists.refresh_pairlist()
assert freqtrade.exchange.get_historic_ohlcv.call_count > 0
previous_call_count = freqtrade.exchange.get_historic_ohlcv.call_count
freqtrade.pairlists.refresh_pairlist()
# Should not have increased since first call.
assert freqtrade.exchange.get_historic_ohlcv.call_count == previous_call_count
def test_pairlistmanager_no_pairlist(mocker, markets, whitelist_conf, caplog):
mocker.patch('freqtrade.exchange.Exchange.exchange_has', MagicMock(return_value=True))

View File

@ -8,12 +8,13 @@ import pytest
from numpy import isnan
from freqtrade.edge import PairInfo
from freqtrade.exceptions import DependencyException, TemporaryError
from freqtrade.exceptions import ExchangeError, TemporaryError
from freqtrade.persistence import Trade
from freqtrade.rpc import RPC, RPCException
from freqtrade.rpc.fiat_convert import CryptoToFiatConverter
from freqtrade.state import State
from tests.conftest import get_patched_freqtradebot, patch_get_signal, create_mock_trades
from tests.conftest import (create_mock_trades, get_patched_freqtradebot,
patch_get_signal)
# Functions for recurrent object patching
@ -106,7 +107,7 @@ def test_rpc_trade_status(default_conf, ticker, fee, mocker) -> None:
}
mocker.patch('freqtrade.freqtradebot.FreqtradeBot.get_sell_rate',
MagicMock(side_effect=DependencyException("Pair 'ETH/BTC' not available")))
MagicMock(side_effect=ExchangeError("Pair 'ETH/BTC' not available")))
results = rpc._rpc_trade_status()
assert isnan(results[0]['current_profit'])
assert isnan(results[0]['current_rate'])
@ -209,7 +210,7 @@ def test_rpc_status_table(default_conf, ticker, fee, mocker) -> None:
assert '-0.41% (-0.06)' == result[0][3]
mocker.patch('freqtrade.freqtradebot.FreqtradeBot.get_sell_rate',
MagicMock(side_effect=DependencyException("Pair 'ETH/BTC' not available")))
MagicMock(side_effect=ExchangeError("Pair 'ETH/BTC' not available")))
result, headers = rpc._rpc_status_table(default_conf['stake_currency'], 'USD')
assert 'instantly' == result[0][2]
assert 'ETH/BTC' in result[0][1]
@ -365,7 +366,7 @@ def test_rpc_trade_statistics(default_conf, ticker, ticker_sell_up, fee,
# Test non-available pair
mocker.patch('freqtrade.freqtradebot.FreqtradeBot.get_sell_rate',
MagicMock(side_effect=DependencyException("Pair 'ETH/BTC' not available")))
MagicMock(side_effect=ExchangeError("Pair 'ETH/BTC' not available")))
stats = rpc._rpc_trade_statistics(stake_currency, fiat_display_currency)
assert stats['trade_count'] == 2
assert stats['first_trade_date'] == 'just now'
@ -606,7 +607,7 @@ def test_rpc_forcesell(default_conf, ticker, fee, mocker) -> None:
'freqtrade.exchange.Exchange',
fetch_ticker=ticker,
cancel_order=cancel_order_mock,
get_order=MagicMock(
fetch_order=MagicMock(
return_value={
'status': 'closed',
'type': 'limit',
@ -652,7 +653,7 @@ def test_rpc_forcesell(default_conf, ticker, fee, mocker) -> None:
trade = Trade.query.filter(Trade.id == '1').first()
filled_amount = trade.amount / 2
mocker.patch(
'freqtrade.exchange.Exchange.get_order',
'freqtrade.exchange.Exchange.fetch_order',
return_value={
'status': 'open',
'type': 'limit',
@ -671,7 +672,7 @@ def test_rpc_forcesell(default_conf, ticker, fee, mocker) -> None:
amount = trade.amount
# make an limit-buy open trade, if there is no 'filled', don't sell it
mocker.patch(
'freqtrade.exchange.Exchange.get_order',
'freqtrade.exchange.Exchange.fetch_order',
return_value={
'status': 'open',
'type': 'limit',
@ -688,7 +689,7 @@ def test_rpc_forcesell(default_conf, ticker, fee, mocker) -> None:
freqtradebot.enter_positions()
# make an limit-sell open trade
mocker.patch(
'freqtrade.exchange.Exchange.get_order',
'freqtrade.exchange.Exchange.fetch_order',
return_value={
'status': 'open',
'type': 'limit',

View File

@ -24,6 +24,7 @@ def botclient(default_conf, mocker):
default_conf.update({"api_server": {"enabled": True,
"listen_ip_address": "127.0.0.1",
"listen_port": 8080,
"CORS_origins": ['http://example.com'],
"username": _TEST_USER,
"password": _TEST_PASS,
}})
@ -40,13 +41,13 @@ def client_post(client, url, data={}):
content_type="application/json",
data=data,
headers={'Authorization': _basic_auth_str(_TEST_USER, _TEST_PASS),
'Origin': 'example.com'})
'Origin': 'http://example.com'})
def client_get(client, url):
# Add fake Origin to ensure CORS kicks in
return client.get(url, headers={'Authorization': _basic_auth_str(_TEST_USER, _TEST_PASS),
'Origin': 'example.com'})
'Origin': 'http://example.com'})
def assert_response(response, expected_code=200, needs_cors=True):
@ -54,6 +55,7 @@ def assert_response(response, expected_code=200, needs_cors=True):
assert response.content_type == "application/json"
if needs_cors:
assert ('Access-Control-Allow-Credentials', 'true') in response.headers._list
assert ('Access-Control-Allow-Origin', 'http://example.com') in response.headers._list
def test_api_not_found(botclient):
@ -110,7 +112,7 @@ def test_api_token_login(botclient):
rc = client.get(f"{BASE_URI}/count",
content_type="application/json",
headers={'Authorization': f'Bearer {rc.json["access_token"]}',
'Origin': 'example.com'})
'Origin': 'http://example.com'})
assert_response(rc)
@ -122,7 +124,7 @@ def test_api_token_refresh(botclient):
content_type="application/json",
data=None,
headers={'Authorization': f'Bearer {rc.json["refresh_token"]}',
'Origin': 'example.com'})
'Origin': 'http://example.com'})
assert_response(rc)
assert 'access_token' in rc.json
assert 'refresh_token' not in rc.json
@ -429,14 +431,14 @@ def test_api_profit(botclient, mocker, ticker, fee, markets, limit_buy_order, li
'latest_trade_date': 'just now',
'latest_trade_timestamp': ANY,
'profit_all_coin': 6.217e-05,
'profit_all_fiat': 0,
'profit_all_fiat': 0.76748865,
'profit_all_percent': 6.2,
'profit_all_percent_mean': 6.2,
'profit_all_ratio_mean': 0.06201058,
'profit_all_percent_sum': 6.2,
'profit_all_ratio_sum': 0.06201058,
'profit_closed_coin': 6.217e-05,
'profit_closed_fiat': 0,
'profit_closed_fiat': 0.76748865,
'profit_closed_percent': 6.2,
'profit_closed_ratio_mean': 0.06201058,
'profit_closed_percent_mean': 6.2,
@ -444,6 +446,8 @@ def test_api_profit(botclient, mocker, ticker, fee, markets, limit_buy_order, li
'profit_closed_percent_sum': 6.2,
'trade_count': 1,
'closed_trade_count': 1,
'winning_trades': 1,
'losing_trades': 0,
}

View File

@ -13,12 +13,14 @@ from freqtrade.exceptions import StrategyError
from freqtrade.persistence import Trade
from freqtrade.resolvers import StrategyResolver
from freqtrade.strategy.strategy_wrapper import strategy_safe_wrapper
from tests.conftest import get_patched_exchange, log_has, log_has_re
from freqtrade.data.dataprovider import DataProvider
from tests.conftest import log_has, log_has_re
from .strats.default_strategy import DefaultStrategy
# Avoid to reinit the same object again and again
_STRATEGY = DefaultStrategy(config={})
_STRATEGY.dp = DataProvider({}, None, None)
def test_returns_latest_signal(mocker, default_conf, ohlcv_history):
@ -29,63 +31,60 @@ def test_returns_latest_signal(mocker, default_conf, ohlcv_history):
mocked_history['buy'] = 0
mocked_history.loc[1, 'sell'] = 1
mocker.patch.object(
_STRATEGY, '_analyze_ticker_internal',
return_value=mocked_history
)
assert _STRATEGY.get_signal('ETH/BTC', '5m', ohlcv_history) == (False, True)
assert _STRATEGY.get_signal('ETH/BTC', '5m', mocked_history) == (False, True)
mocked_history.loc[1, 'sell'] = 0
mocked_history.loc[1, 'buy'] = 1
mocker.patch.object(
_STRATEGY, '_analyze_ticker_internal',
return_value=mocked_history
)
assert _STRATEGY.get_signal('ETH/BTC', '5m', ohlcv_history) == (True, False)
assert _STRATEGY.get_signal('ETH/BTC', '5m', mocked_history) == (True, False)
mocked_history.loc[1, 'sell'] = 0
mocked_history.loc[1, 'buy'] = 0
mocker.patch.object(
_STRATEGY, '_analyze_ticker_internal',
return_value=mocked_history
)
assert _STRATEGY.get_signal('ETH/BTC', '5m', ohlcv_history) == (False, False)
assert _STRATEGY.get_signal('ETH/BTC', '5m', mocked_history) == (False, False)
def test_get_signal_empty(default_conf, mocker, caplog):
assert (False, False) == _STRATEGY.get_signal('foo', default_conf['timeframe'],
DataFrame())
assert log_has('Empty candle (OHLCV) data for pair foo', caplog)
caplog.clear()
assert (False, False) == _STRATEGY.get_signal('bar', default_conf['timeframe'],
[])
assert log_has('Empty candle (OHLCV) data for pair bar', caplog)
def test_get_signal_exception_valueerror(default_conf, mocker, caplog, ohlcv_history):
caplog.set_level(logging.INFO)
mocker.patch.object(
_STRATEGY, '_analyze_ticker_internal',
side_effect=ValueError('xyz')
)
assert (False, False) == _STRATEGY.get_signal('foo', default_conf['timeframe'],
ohlcv_history)
assert log_has_re(r'Strategy caused the following exception: xyz.*', caplog)
def test_get_signal_empty_dataframe(default_conf, mocker, caplog, ohlcv_history):
caplog.set_level(logging.INFO)
def test_analyze_pair_empty(default_conf, mocker, caplog, ohlcv_history):
mocker.patch.object(_STRATEGY.dp, 'ohlcv', return_value=ohlcv_history)
mocker.patch.object(
_STRATEGY, '_analyze_ticker_internal',
return_value=DataFrame([])
)
mocker.patch.object(_STRATEGY, 'assert_df')
assert (False, False) == _STRATEGY.get_signal('xyz', default_conf['timeframe'],
ohlcv_history)
assert log_has('Empty dataframe for pair xyz', caplog)
_STRATEGY.analyze_pair('ETH/BTC')
assert log_has('Empty dataframe for pair ETH/BTC', caplog)
def test_get_signal_empty(default_conf, mocker, caplog):
assert (False, False) == _STRATEGY.get_signal('foo', default_conf['timeframe'], DataFrame())
assert log_has('Empty candle (OHLCV) data for pair foo', caplog)
caplog.clear()
assert (False, False) == _STRATEGY.get_signal('bar', default_conf['timeframe'], None)
assert log_has('Empty candle (OHLCV) data for pair bar', caplog)
caplog.clear()
assert (False, False) == _STRATEGY.get_signal('baz', default_conf['timeframe'], DataFrame([]))
assert log_has('Empty candle (OHLCV) data for pair baz', caplog)
def test_get_signal_exception_valueerror(default_conf, mocker, caplog, ohlcv_history):
caplog.set_level(logging.INFO)
mocker.patch.object(_STRATEGY.dp, 'ohlcv', return_value=ohlcv_history)
mocker.patch.object(
_STRATEGY, '_analyze_ticker_internal',
side_effect=ValueError('xyz')
)
_STRATEGY.analyze_pair('foo')
assert log_has_re(r'Strategy caused the following exception: xyz.*', caplog)
caplog.clear()
mocker.patch.object(
_STRATEGY, 'analyze_ticker',
side_effect=Exception('invalid ticker history ')
)
_STRATEGY.analyze_pair('foo')
assert log_has_re(r'Strategy caused the following exception: xyz.*', caplog)
def test_get_signal_old_dataframe(default_conf, mocker, caplog, ohlcv_history):
@ -99,13 +98,9 @@ def test_get_signal_old_dataframe(default_conf, mocker, caplog, ohlcv_history):
mocked_history.loc[1, 'buy'] = 1
caplog.set_level(logging.INFO)
mocker.patch.object(
_STRATEGY, '_analyze_ticker_internal',
return_value=mocked_history
)
mocker.patch.object(_STRATEGY, 'assert_df')
assert (False, False) == _STRATEGY.get_signal('xyz', default_conf['timeframe'],
ohlcv_history)
assert (False, False) == _STRATEGY.get_signal('xyz', default_conf['timeframe'], mocked_history)
assert log_has('Outdated history for pair xyz. Last tick is 16 minutes old', caplog)
@ -120,12 +115,13 @@ def test_assert_df_raise(default_conf, mocker, caplog, ohlcv_history):
mocked_history.loc[1, 'buy'] = 1
caplog.set_level(logging.INFO)
mocker.patch.object(_STRATEGY.dp, 'ohlcv', return_value=ohlcv_history)
mocker.patch.object(_STRATEGY.dp, 'get_analyzed_dataframe', return_value=(mocked_history, 0))
mocker.patch.object(
_STRATEGY, 'assert_df',
side_effect=StrategyError('Dataframe returned...')
)
assert (False, False) == _STRATEGY.get_signal('xyz', default_conf['timeframe'],
ohlcv_history)
_STRATEGY.analyze_pair('xyz')
assert log_has('Unable to analyze candle (OHLCV) data for pair xyz: Dataframe returned...',
caplog)
@ -157,15 +153,6 @@ def test_assert_df(default_conf, mocker, ohlcv_history, caplog):
_STRATEGY.disable_dataframe_checks = False
def test_get_signal_handles_exceptions(mocker, default_conf):
exchange = get_patched_exchange(mocker, default_conf)
mocker.patch.object(
_STRATEGY, 'analyze_ticker',
side_effect=Exception('invalid ticker history ')
)
assert _STRATEGY.get_signal(exchange, 'ETH/BTC', '5m') == (False, False)
def test_ohlcvdata_to_dataframe(default_conf, testdatadir) -> None:
default_conf.update({'strategy': 'DefaultStrategy'})
strategy = StrategyResolver.load_strategy(default_conf)
@ -342,6 +329,7 @@ def test__analyze_ticker_internal_skip_analyze(ohlcv_history, mocker, caplog) ->
)
strategy = DefaultStrategy({})
strategy.dp = DataProvider({}, None, None)
strategy.process_only_new_candles = True
ret = strategy._analyze_ticker_internal(ohlcv_history, {'pair': 'ETH/BTC'})
@ -400,6 +388,14 @@ def test_is_pair_locked(default_conf):
assert not strategy.is_pair_locked(pair)
def test_is_informative_pairs_callback(default_conf):
default_conf.update({'strategy': 'TestStrategyLegacy'})
strategy = StrategyResolver.load_strategy(default_conf)
# Should return empty
# Uses fallback to base implementation
assert [] == strategy.informative_pairs()
@pytest.mark.parametrize('error', [
ValueError, KeyError, Exception,
])
@ -419,6 +415,11 @@ def test_strategy_safe_wrapper_error(caplog, error):
assert isinstance(ret, bool)
assert ret
caplog.clear()
# Test supressing error
ret = strategy_safe_wrapper(failing_method, message='DeadBeef', supress_error=True)()
assert log_has_re(r'DeadBeef.*', caplog)
@pytest.mark.parametrize('value', [
1, 22, 55, True, False, {'a': 1, 'b': '112'},

View File

@ -9,13 +9,12 @@ from unittest.mock import ANY, MagicMock, PropertyMock
import arrow
import pytest
import requests
from freqtrade.constants import (CANCEL_REASON, MATH_CLOSE_PREC,
UNLIMITED_STAKE_AMOUNT)
from freqtrade.exceptions import (DependencyException, InvalidOrderException,
OperationalException, PricingError,
TemporaryError)
from freqtrade.exceptions import (DependencyException, ExchangeError,
InvalidOrderException, OperationalException,
PricingError, TemporaryError)
from freqtrade.freqtradebot import FreqtradeBot
from freqtrade.persistence import Trade
from freqtrade.rpc import RPCMessageType
@ -763,7 +762,7 @@ def test_process_trade_creation(default_conf, ticker, limit_buy_order,
'freqtrade.exchange.Exchange',
fetch_ticker=ticker,
buy=MagicMock(return_value={'id': limit_buy_order['id']}),
get_order=MagicMock(return_value=limit_buy_order),
fetch_order=MagicMock(return_value=limit_buy_order),
get_fee=fee,
)
freqtrade = FreqtradeBot(default_conf)
@ -832,7 +831,7 @@ def test_process_trade_handling(default_conf, ticker, limit_buy_order, fee, mock
'freqtrade.exchange.Exchange',
fetch_ticker=ticker,
buy=MagicMock(return_value={'id': limit_buy_order['id']}),
get_order=MagicMock(return_value=limit_buy_order),
fetch_order=MagicMock(return_value=limit_buy_order),
get_fee=fee,
)
freqtrade = FreqtradeBot(default_conf)
@ -859,7 +858,7 @@ def test_process_trade_no_whitelist_pair(default_conf, ticker, limit_buy_order,
'freqtrade.exchange.Exchange',
fetch_ticker=ticker,
buy=MagicMock(return_value={'id': limit_buy_order['id']}),
get_order=MagicMock(return_value=limit_buy_order),
fetch_order=MagicMock(return_value=limit_buy_order),
get_fee=fee,
)
freqtrade = FreqtradeBot(default_conf)
@ -912,6 +911,7 @@ def test_process_informative_pairs_added(default_conf, ticker, mocker) -> None:
refresh_latest_ohlcv=refresh_mock,
)
inf_pairs = MagicMock(return_value=[("BTC/ETH", '1m'), ("ETH/USDT", "1h")])
mocker.patch('freqtrade.strategy.interface.IStrategy.get_signal', return_value=(False, False))
mocker.patch('time.sleep', return_value=None)
freqtrade = FreqtradeBot(default_conf)
@ -974,6 +974,7 @@ def test_execute_buy(mocker, default_conf, fee, limit_buy_order) -> None:
patch_RPCManager(mocker)
patch_exchange(mocker)
freqtrade = FreqtradeBot(default_conf)
freqtrade.strategy.confirm_trade_entry = MagicMock(return_value=False)
stake_amount = 2
bid = 0.11
buy_rate_mock = MagicMock(return_value=bid)
@ -995,6 +996,13 @@ def test_execute_buy(mocker, default_conf, fee, limit_buy_order) -> None:
)
pair = 'ETH/BTC'
assert not freqtrade.execute_buy(pair, stake_amount)
assert buy_rate_mock.call_count == 1
assert buy_mm.call_count == 0
assert freqtrade.strategy.confirm_trade_entry.call_count == 1
buy_rate_mock.reset_mock()
freqtrade.strategy.confirm_trade_entry = MagicMock(return_value=True)
assert freqtrade.execute_buy(pair, stake_amount)
assert buy_rate_mock.call_count == 1
assert buy_mm.call_count == 1
@ -1002,6 +1010,7 @@ def test_execute_buy(mocker, default_conf, fee, limit_buy_order) -> None:
assert call_args['pair'] == pair
assert call_args['rate'] == bid
assert call_args['amount'] == stake_amount / bid
buy_rate_mock.reset_mock()
# Should create an open trade with an open order id
# As the order is not fulfilled yet
@ -1014,7 +1023,7 @@ def test_execute_buy(mocker, default_conf, fee, limit_buy_order) -> None:
fix_price = 0.06
assert freqtrade.execute_buy(pair, stake_amount, fix_price)
# Make sure get_buy_rate wasn't called again
assert buy_rate_mock.call_count == 1
assert buy_rate_mock.call_count == 0
assert buy_mm.call_count == 2
call_args = buy_mm.call_args_list[1][1]
@ -1060,11 +1069,44 @@ def test_execute_buy(mocker, default_conf, fee, limit_buy_order) -> None:
assert not freqtrade.execute_buy(pair, stake_amount)
def test_execute_buy_confirm_error(mocker, default_conf, fee, limit_buy_order) -> None:
freqtrade = get_patched_freqtradebot(mocker, default_conf)
mocker.patch.multiple(
'freqtrade.freqtradebot.FreqtradeBot',
get_buy_rate=MagicMock(return_value=0.11),
_get_min_pair_stake_amount=MagicMock(return_value=1)
)
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
fetch_ticker=MagicMock(return_value={
'bid': 0.00001172,
'ask': 0.00001173,
'last': 0.00001172
}),
buy=MagicMock(return_value=limit_buy_order),
get_fee=fee,
)
stake_amount = 2
pair = 'ETH/BTC'
freqtrade.strategy.confirm_trade_entry = MagicMock(side_effect=ValueError)
assert freqtrade.execute_buy(pair, stake_amount)
freqtrade.strategy.confirm_trade_entry = MagicMock(side_effect=Exception)
assert freqtrade.execute_buy(pair, stake_amount)
freqtrade.strategy.confirm_trade_entry = MagicMock(return_value=True)
assert freqtrade.execute_buy(pair, stake_amount)
freqtrade.strategy.confirm_trade_entry = MagicMock(return_value=False)
assert not freqtrade.execute_buy(pair, stake_amount)
def test_add_stoploss_on_exchange(mocker, default_conf, limit_buy_order) -> None:
patch_RPCManager(mocker)
patch_exchange(mocker)
mocker.patch('freqtrade.freqtradebot.FreqtradeBot.handle_trade', MagicMock(return_value=True))
mocker.patch('freqtrade.exchange.Exchange.get_order', return_value=limit_buy_order)
mocker.patch('freqtrade.exchange.Exchange.fetch_order', return_value=limit_buy_order)
mocker.patch('freqtrade.exchange.Exchange.get_trades_for_order', return_value=[])
mocker.patch('freqtrade.freqtradebot.FreqtradeBot.get_real_amount',
return_value=limit_buy_order['amount'])
@ -1126,7 +1168,7 @@ def test_handle_stoploss_on_exchange(mocker, default_conf, fee, caplog,
trade.stoploss_order_id = 100
hanging_stoploss_order = MagicMock(return_value={'status': 'open'})
mocker.patch('freqtrade.exchange.Exchange.get_stoploss_order', hanging_stoploss_order)
mocker.patch('freqtrade.exchange.Exchange.fetch_stoploss_order', hanging_stoploss_order)
assert freqtrade.handle_stoploss_on_exchange(trade) is False
assert trade.stoploss_order_id == 100
@ -1139,7 +1181,7 @@ def test_handle_stoploss_on_exchange(mocker, default_conf, fee, caplog,
trade.stoploss_order_id = 100
canceled_stoploss_order = MagicMock(return_value={'status': 'canceled'})
mocker.patch('freqtrade.exchange.Exchange.get_stoploss_order', canceled_stoploss_order)
mocker.patch('freqtrade.exchange.Exchange.fetch_stoploss_order', canceled_stoploss_order)
stoploss.reset_mock()
assert freqtrade.handle_stoploss_on_exchange(trade) is False
@ -1164,7 +1206,7 @@ def test_handle_stoploss_on_exchange(mocker, default_conf, fee, caplog,
'average': 2,
'amount': limit_buy_order['amount'],
})
mocker.patch('freqtrade.exchange.Exchange.get_stoploss_order', stoploss_order_hit)
mocker.patch('freqtrade.exchange.Exchange.fetch_stoploss_order', stoploss_order_hit)
assert freqtrade.handle_stoploss_on_exchange(trade) is True
assert log_has('STOP_LOSS_LIMIT is hit for {}.'.format(trade), caplog)
assert trade.stoploss_order_id is None
@ -1172,18 +1214,18 @@ def test_handle_stoploss_on_exchange(mocker, default_conf, fee, caplog,
mocker.patch(
'freqtrade.exchange.Exchange.stoploss',
side_effect=DependencyException()
side_effect=ExchangeError()
)
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
# Fifth case: get_order returns InvalidOrder
# Fifth case: fetch_order returns InvalidOrder
# It should try to add stoploss order
trade.stoploss_order_id = 100
stoploss.reset_mock()
mocker.patch('freqtrade.exchange.Exchange.get_stoploss_order',
mocker.patch('freqtrade.exchange.Exchange.fetch_stoploss_order',
side_effect=InvalidOrderException())
mocker.patch('freqtrade.exchange.Exchange.stoploss', stoploss)
freqtrade.handle_stoploss_on_exchange(trade)
@ -1194,7 +1236,7 @@ def test_handle_stoploss_on_exchange(mocker, default_conf, fee, caplog,
trade.stoploss_order_id = None
trade.is_open = False
stoploss.reset_mock()
mocker.patch('freqtrade.exchange.Exchange.get_order')
mocker.patch('freqtrade.exchange.Exchange.fetch_order')
mocker.patch('freqtrade.exchange.Exchange.stoploss', stoploss)
assert freqtrade.handle_stoploss_on_exchange(trade) is False
assert stoploss.call_count == 0
@ -1215,8 +1257,8 @@ def test_handle_sle_cancel_cant_recreate(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,
get_stoploss_order=MagicMock(return_value={'status': 'canceled'}),
stoploss=MagicMock(side_effect=DependencyException()),
fetch_stoploss_order=MagicMock(return_value={'status': 'canceled'}),
stoploss=MagicMock(side_effect=ExchangeError()),
)
freqtrade = FreqtradeBot(default_conf)
patch_get_signal(freqtrade)
@ -1249,7 +1291,7 @@ def test_create_stoploss_order_invalid_order(mocker, default_conf, caplog, fee,
buy=MagicMock(return_value={'id': limit_buy_order['id']}),
sell=sell_mock,
get_fee=fee,
get_order=MagicMock(return_value={'status': 'canceled'}),
fetch_order=MagicMock(return_value={'status': 'canceled'}),
stoploss=MagicMock(side_effect=InvalidOrderException()),
)
freqtrade = FreqtradeBot(default_conf)
@ -1332,7 +1374,7 @@ def test_handle_stoploss_on_exchange_trailing(mocker, default_conf, fee, caplog,
}
})
mocker.patch('freqtrade.exchange.Exchange.get_stoploss_order', stoploss_order_hanging)
mocker.patch('freqtrade.exchange.Exchange.fetch_stoploss_order', stoploss_order_hanging)
# stoploss initially at 5%
assert freqtrade.handle_trade(trade) is False
@ -1432,7 +1474,7 @@ def test_handle_stoploss_on_exchange_trailing_error(mocker, default_conf, fee, c
}
mocker.patch('freqtrade.exchange.Exchange.cancel_stoploss_order',
side_effect=InvalidOrderException())
mocker.patch('freqtrade.exchange.Exchange.get_stoploss_order', stoploss_order_hanging)
mocker.patch('freqtrade.exchange.Exchange.fetch_stoploss_order', stoploss_order_hanging)
freqtrade.handle_trailing_stoploss_on_exchange(trade, stoploss_order_hanging)
assert log_has_re(r"Could not cancel stoploss order abcd for pair ETH/BTC.*", caplog)
@ -1442,7 +1484,7 @@ def test_handle_stoploss_on_exchange_trailing_error(mocker, default_conf, fee, c
# Fail creating stoploss order
caplog.clear()
cancel_mock = mocker.patch("freqtrade.exchange.Exchange.cancel_stoploss_order", MagicMock())
mocker.patch("freqtrade.exchange.Exchange.stoploss", side_effect=DependencyException())
mocker.patch("freqtrade.exchange.Exchange.stoploss", side_effect=ExchangeError())
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)
@ -1512,7 +1554,7 @@ def test_tsl_on_exchange_compatible_with_edge(mocker, edge_conf, fee, caplog,
}
})
mocker.patch('freqtrade.exchange.Exchange.get_stoploss_order', stoploss_order_hanging)
mocker.patch('freqtrade.exchange.Exchange.fetch_stoploss_order', stoploss_order_hanging)
# stoploss initially at 20% as edge dictated it.
assert freqtrade.handle_trade(trade) is False
@ -1589,7 +1631,7 @@ def test_exit_positions(mocker, default_conf, limit_buy_order, caplog) -> None:
freqtrade = get_patched_freqtradebot(mocker, default_conf)
mocker.patch('freqtrade.freqtradebot.FreqtradeBot.handle_trade', MagicMock(return_value=True))
mocker.patch('freqtrade.exchange.Exchange.get_order', return_value=limit_buy_order)
mocker.patch('freqtrade.exchange.Exchange.fetch_order', return_value=limit_buy_order)
mocker.patch('freqtrade.exchange.Exchange.get_trades_for_order', return_value=[])
mocker.patch('freqtrade.freqtradebot.FreqtradeBot.get_real_amount',
return_value=limit_buy_order['amount'])
@ -1613,7 +1655,7 @@ def test_exit_positions(mocker, default_conf, limit_buy_order, caplog) -> None:
def test_exit_positions_exception(mocker, default_conf, limit_buy_order, caplog) -> None:
freqtrade = get_patched_freqtradebot(mocker, default_conf)
mocker.patch('freqtrade.exchange.Exchange.get_order', return_value=limit_buy_order)
mocker.patch('freqtrade.exchange.Exchange.fetch_order', return_value=limit_buy_order)
trade = MagicMock()
trade.open_order_id = None
@ -1634,7 +1676,7 @@ def test_update_trade_state(mocker, default_conf, limit_buy_order, caplog) -> No
freqtrade = get_patched_freqtradebot(mocker, default_conf)
mocker.patch('freqtrade.freqtradebot.FreqtradeBot.handle_trade', MagicMock(return_value=True))
mocker.patch('freqtrade.exchange.Exchange.get_order', return_value=limit_buy_order)
mocker.patch('freqtrade.exchange.Exchange.fetch_order', return_value=limit_buy_order)
mocker.patch('freqtrade.exchange.Exchange.get_trades_for_order', return_value=[])
mocker.patch('freqtrade.freqtradebot.FreqtradeBot.get_real_amount',
return_value=limit_buy_order['amount'])
@ -1673,8 +1715,8 @@ def test_update_trade_state(mocker, default_conf, limit_buy_order, caplog) -> No
def test_update_trade_state_withorderdict(default_conf, trades_for_order, limit_buy_order, fee,
mocker):
mocker.patch('freqtrade.exchange.Exchange.get_trades_for_order', return_value=trades_for_order)
# get_order should not be called!!
mocker.patch('freqtrade.exchange.Exchange.get_order', MagicMock(side_effect=ValueError))
# fetch_order should not be called!!
mocker.patch('freqtrade.exchange.Exchange.fetch_order', MagicMock(side_effect=ValueError))
patch_exchange(mocker)
Trade.session = MagicMock()
amount = sum(x['amount'] for x in trades_for_order)
@ -1698,8 +1740,8 @@ def test_update_trade_state_withorderdict_rounding_fee(default_conf, trades_for_
limit_buy_order, mocker, caplog):
trades_for_order[0]['amount'] = limit_buy_order['amount'] + 1e-14
mocker.patch('freqtrade.exchange.Exchange.get_trades_for_order', return_value=trades_for_order)
# get_order should not be called!!
mocker.patch('freqtrade.exchange.Exchange.get_order', MagicMock(side_effect=ValueError))
# fetch_order should not be called!!
mocker.patch('freqtrade.exchange.Exchange.fetch_order', MagicMock(side_effect=ValueError))
patch_exchange(mocker)
Trade.session = MagicMock()
amount = sum(x['amount'] for x in trades_for_order)
@ -1724,7 +1766,7 @@ def test_update_trade_state_withorderdict_rounding_fee(default_conf, trades_for_
def test_update_trade_state_exception(mocker, default_conf,
limit_buy_order, caplog) -> None:
freqtrade = get_patched_freqtradebot(mocker, default_conf)
mocker.patch('freqtrade.exchange.Exchange.get_order', return_value=limit_buy_order)
mocker.patch('freqtrade.exchange.Exchange.fetch_order', return_value=limit_buy_order)
trade = MagicMock()
trade.open_order_id = '123'
@ -1741,7 +1783,7 @@ def test_update_trade_state_exception(mocker, default_conf,
def test_update_trade_state_orderexception(mocker, default_conf, caplog) -> None:
freqtrade = get_patched_freqtradebot(mocker, default_conf)
mocker.patch('freqtrade.exchange.Exchange.get_order',
mocker.patch('freqtrade.exchange.Exchange.fetch_order',
MagicMock(side_effect=InvalidOrderException))
trade = MagicMock()
@ -1757,8 +1799,8 @@ def test_update_trade_state_orderexception(mocker, default_conf, caplog) -> None
def test_update_trade_state_sell(default_conf, trades_for_order, limit_sell_order, mocker):
mocker.patch('freqtrade.exchange.Exchange.get_trades_for_order', return_value=trades_for_order)
# get_order should not be called!!
mocker.patch('freqtrade.exchange.Exchange.get_order', MagicMock(side_effect=ValueError))
# fetch_order should not be called!!
mocker.patch('freqtrade.exchange.Exchange.fetch_order', MagicMock(side_effect=ValueError))
wallet_mock = MagicMock()
mocker.patch('freqtrade.wallets.Wallets.update', wallet_mock)
@ -1963,6 +2005,18 @@ def test_close_trade(default_conf, ticker, limit_buy_order, limit_sell_order,
freqtrade.handle_trade(trade)
def test_bot_loop_start_called_once(mocker, default_conf, caplog):
ftbot = get_patched_freqtradebot(mocker, default_conf)
patch_get_signal(ftbot)
ftbot.strategy.bot_loop_start = MagicMock(side_effect=ValueError)
ftbot.strategy.analyze = MagicMock()
ftbot.process()
assert log_has_re(r'Strategy caused the following exception.*', caplog)
assert ftbot.strategy.bot_loop_start.call_count == 1
assert ftbot.strategy.analyze.call_count == 1
def test_check_handle_timedout_buy_usercustom(default_conf, ticker, limit_buy_order_old, open_trade,
fee, mocker) -> None:
default_conf["unfilledtimeout"] = {"buy": 1400, "sell": 30}
@ -1973,7 +2027,7 @@ def test_check_handle_timedout_buy_usercustom(default_conf, ticker, limit_buy_or
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
fetch_ticker=ticker,
get_order=MagicMock(return_value=limit_buy_order_old),
fetch_order=MagicMock(return_value=limit_buy_order_old),
cancel_order=cancel_order_mock,
get_fee=fee
)
@ -2022,7 +2076,7 @@ def test_check_handle_timedout_buy(default_conf, ticker, limit_buy_order_old, op
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
fetch_ticker=ticker,
get_order=MagicMock(return_value=limit_buy_order_old),
fetch_order=MagicMock(return_value=limit_buy_order_old),
cancel_order_with_result=cancel_order_mock,
get_fee=fee
)
@ -2052,7 +2106,7 @@ def test_check_handle_cancelled_buy(default_conf, ticker, limit_buy_order_old, o
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
fetch_ticker=ticker,
get_order=MagicMock(return_value=limit_buy_order_old),
fetch_order=MagicMock(return_value=limit_buy_order_old),
cancel_order=cancel_order_mock,
get_fee=fee
)
@ -2079,7 +2133,7 @@ def test_check_handle_timedout_buy_exception(default_conf, ticker, limit_buy_ord
'freqtrade.exchange.Exchange',
validate_pairs=MagicMock(),
fetch_ticker=ticker,
get_order=MagicMock(side_effect=DependencyException),
fetch_order=MagicMock(side_effect=ExchangeError),
cancel_order=cancel_order_mock,
get_fee=fee
)
@ -2105,7 +2159,7 @@ def test_check_handle_timedout_sell_usercustom(default_conf, ticker, limit_sell_
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
fetch_ticker=ticker,
get_order=MagicMock(return_value=limit_sell_order_old),
fetch_order=MagicMock(return_value=limit_sell_order_old),
cancel_order=cancel_order_mock
)
freqtrade = FreqtradeBot(default_conf)
@ -2152,7 +2206,7 @@ def test_check_handle_timedout_sell(default_conf, ticker, limit_sell_order_old,
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
fetch_ticker=ticker,
get_order=MagicMock(return_value=limit_sell_order_old),
fetch_order=MagicMock(return_value=limit_sell_order_old),
cancel_order=cancel_order_mock
)
freqtrade = FreqtradeBot(default_conf)
@ -2183,7 +2237,7 @@ def test_check_handle_cancelled_sell(default_conf, ticker, limit_sell_order_old,
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
fetch_ticker=ticker,
get_order=MagicMock(return_value=limit_sell_order_old),
fetch_order=MagicMock(return_value=limit_sell_order_old),
cancel_order_with_result=cancel_order_mock
)
freqtrade = FreqtradeBot(default_conf)
@ -2210,7 +2264,7 @@ def test_check_handle_timedout_partial(default_conf, ticker, limit_buy_order_old
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
fetch_ticker=ticker,
get_order=MagicMock(return_value=limit_buy_order_old_partial),
fetch_order=MagicMock(return_value=limit_buy_order_old_partial),
cancel_order_with_result=cancel_order_mock
)
freqtrade = FreqtradeBot(default_conf)
@ -2238,7 +2292,7 @@ def test_check_handle_timedout_partial_fee(default_conf, ticker, open_trade, cap
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
fetch_ticker=ticker,
get_order=MagicMock(return_value=limit_buy_order_old_partial),
fetch_order=MagicMock(return_value=limit_buy_order_old_partial),
cancel_order_with_result=cancel_order_mock,
get_trades_for_order=MagicMock(return_value=trades_for_order),
)
@ -2276,7 +2330,7 @@ def test_check_handle_timedout_partial_except(default_conf, ticker, open_trade,
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
fetch_ticker=ticker,
get_order=MagicMock(return_value=limit_buy_order_old_partial),
fetch_order=MagicMock(return_value=limit_buy_order_old_partial),
cancel_order_with_result=cancel_order_mock,
get_trades_for_order=MagicMock(return_value=trades_for_order),
)
@ -2320,7 +2374,7 @@ def test_check_handle_timedout_exception(default_conf, ticker, open_trade, mocke
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
fetch_ticker=ticker,
get_order=MagicMock(side_effect=requests.exceptions.RequestException('Oh snap')),
fetch_order=MagicMock(side_effect=ExchangeError('Oh snap')),
cancel_order=cancel_order_mock
)
freqtrade = FreqtradeBot(default_conf)
@ -2489,22 +2543,33 @@ def test_execute_sell_up(default_conf, ticker, fee, ticker_sell_up, mocker) -> N
patch_whitelist(mocker, default_conf)
freqtrade = FreqtradeBot(default_conf)
patch_get_signal(freqtrade)
freqtrade.strategy.confirm_trade_exit = MagicMock(return_value=False)
# Create some test data
freqtrade.enter_positions()
rpc_mock.reset_mock()
trade = Trade.query.first()
assert trade
assert freqtrade.strategy.confirm_trade_exit.call_count == 0
# Increase the price and sell it
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
fetch_ticker=ticker_sell_up
)
# Prevented sell ...
freqtrade.execute_sell(trade=trade, limit=ticker_sell_up()['bid'], sell_reason=SellType.ROI)
assert rpc_mock.call_count == 0
assert freqtrade.strategy.confirm_trade_exit.call_count == 1
# Repatch with true
freqtrade.strategy.confirm_trade_exit = MagicMock(return_value=True)
freqtrade.execute_sell(trade=trade, limit=ticker_sell_up()['bid'], sell_reason=SellType.ROI)
assert freqtrade.strategy.confirm_trade_exit.call_count == 1
assert rpc_mock.call_count == 2
assert rpc_mock.call_count == 1
last_msg = rpc_mock.call_args_list[-1][0][0]
assert {
'type': RPCMessageType.SELL_NOTIFICATION,
@ -2774,7 +2839,7 @@ def test_may_execute_sell_after_stoploss_on_exchange_hit(default_conf, ticker, f
"fee": None,
"trades": None
})
mocker.patch('freqtrade.exchange.Exchange.get_stoploss_order', stoploss_executed)
mocker.patch('freqtrade.exchange.Exchange.fetch_stoploss_order', stoploss_executed)
freqtrade.exit_positions(trades)
assert trade.stoploss_order_id is None
@ -4017,7 +4082,7 @@ def test_sync_wallet_dry_run(mocker, default_conf, ticker, fee, limit_buy_order,
@pytest.mark.usefixtures("init_persistence")
def test_cancel_all_open_orders(mocker, default_conf, fee, limit_buy_order, limit_sell_order):
default_conf['cancel_open_orders_on_exit'] = True
mocker.patch('freqtrade.exchange.Exchange.get_order',
mocker.patch('freqtrade.exchange.Exchange.fetch_order',
side_effect=[DependencyException(), limit_sell_order, limit_buy_order])
buy_mock = mocker.patch('freqtrade.freqtradebot.FreqtradeBot.handle_cancel_buy')
sell_mock = mocker.patch('freqtrade.freqtradebot.FreqtradeBot.handle_cancel_sell')
@ -4029,3 +4094,19 @@ def test_cancel_all_open_orders(mocker, default_conf, fee, limit_buy_order, limi
freqtrade.cancel_all_open_orders()
assert buy_mock.call_count == 1
assert sell_mock.call_count == 1
@pytest.mark.usefixtures("init_persistence")
def test_check_for_open_trades(mocker, default_conf, fee, limit_buy_order, limit_sell_order):
freqtrade = get_patched_freqtradebot(mocker, default_conf)
freqtrade.check_for_open_trades()
assert freqtrade.rpc.send_msg.call_count == 0
create_mock_trades(fee)
trade = Trade.query.first()
trade.is_open = True
freqtrade.check_for_open_trades()
assert freqtrade.rpc.send_msg.call_count == 1
assert 'Handle these trades manually' in freqtrade.rpc.send_msg.call_args[0][0]['status']

View File

@ -62,7 +62,7 @@ def test_may_execute_sell_stoploss_on_exchange_multi(default_conf, ticker, fee,
get_fee=fee,
amount_to_precision=lambda s, x, y: y,
price_to_precision=lambda s, x, y: y,
get_stoploss_order=stoploss_order_mock,
fetch_stoploss_order=stoploss_order_mock,
cancel_stoploss_order=cancel_order_mock,
)
@ -79,10 +79,15 @@ def test_may_execute_sell_stoploss_on_exchange_multi(default_conf, ticker, fee,
freqtrade.strategy.order_types['stoploss_on_exchange'] = True
# Switch ordertype to market to close trade immediately
freqtrade.strategy.order_types['sell'] = 'market'
freqtrade.strategy.confirm_trade_entry = MagicMock(return_value=True)
freqtrade.strategy.confirm_trade_exit = MagicMock(return_value=True)
patch_get_signal(freqtrade)
# Create some test data
freqtrade.enter_positions()
assert freqtrade.strategy.confirm_trade_entry.call_count == 3
freqtrade.strategy.confirm_trade_entry.reset_mock()
assert freqtrade.strategy.confirm_trade_exit.call_count == 0
wallets_mock.reset_mock()
Trade.session = MagicMock()
@ -95,6 +100,9 @@ def test_may_execute_sell_stoploss_on_exchange_multi(default_conf, ticker, fee,
n = freqtrade.exit_positions(trades)
assert n == 2
assert should_sell_mock.call_count == 2
assert freqtrade.strategy.confirm_trade_entry.call_count == 0
assert freqtrade.strategy.confirm_trade_exit.call_count == 1
freqtrade.strategy.confirm_trade_exit.reset_mock()
# Only order for 3rd trade needs to be cancelled
assert cancel_order_mock.call_count == 1