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Document lock-pair implementation

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Matthias 2019-12-22 09:55:40 +01:00
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docs/strategy-customization.md
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@ -455,6 +455,49 @@ Sample return value: ETH/BTC had 5 trades, with a total profit of 1.5% (ratio of
!!! Warning
Trade history is not available during backtesting or hyperopt.
### Prevent trades from happening for a specific pair
Freqtrade locks pairs automatically for the current candle (until that candle is over) when a pair is sold, preventing an immediate re-buy of that pair.
Locked pairs will show the message `Pair <pair> is currently locked.`.
#### Locking pairs from within the strategy
Sometimes it may be desired to lock a pair after certain events happen (e.g. multiple losing trades in a row).
Freqtrade has an easy method to do this from within the strategy, by calling `self.lock_pair(pair, until)`.
Until should be a time in the future, after which trading will be reenabled for that pair.
Locks can also be lifted manually, by calling `self.unlock_pair(pair)`.
!!! Note
Locked pairs are not persisted, so a restart of the bot, or calling `/reload_conf` will reset locked pairs.
!!! Warning
Locking pairs is not functional during backtesting.
##### Pair locking example
``` python
from freqtrade.persistence import Trade
from datetime import timedelta, datetime, timezone
# Put the above lines a the top of the strategy file, next to all the other imports
# --------
# Within populate indicators (or populate_buy):
if self.config['runmode'] in ('live', 'dry_run'):
# fetch closed trades for the last 2 days
trades = Trade.get_trades([Trade.pair == metadata['pair'],
Trade.open_date > datetime.utcnow() - timedelta(days=2),
Trade.is_open == False,
]).all()
# Analyze the conditions you'd like to lock the pair .... will probably be different for every strategy
sumprofit = sum(trade.close_profit for trade in trades)
if sumprofit < 0:
# Lock pair for 2 days
self.lock_pair(metadata['pair'], until=datetime.now(timezone.utc) + timedelta(days=2))
```
### Print created dataframe
To inspect the created dataframe, you can issue a print-statement in either `populate_buy_trend()` or `populate_sell_trend()`.