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Merge pull request #5756 from GluTbl/patch-1

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add custom entry/exit price support to backtesting
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Matthias 2021-12-04 15:16:15 +01:00 committed by GitHub
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3 changed files with 33 additions and 11 deletions
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4
docs/bot-basics.md
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@ -56,7 +56,11 @@ This loop will be repeated again and again until the bot is stopped.
* Calculate buy / sell signals (calls `populate_buy_trend()` and `populate_sell_trend()` once per pair).
* Loops per candle simulating entry and exit points.
* Confirm trade buy / sell (calls `confirm_trade_entry()` and `confirm_trade_exit()` if implemented in the strategy).
* Call `custom_entry_price()` (if implemented in the strategy) to determine entry price (Prices are moved to be within the opening candle).
* Determine stake size by calling the `custom_stake_amount()` callback.
* Call `custom_stoploss()` and `custom_sell()` to find custom exit points.
* For sells based on sell-signal and custom-sell: Call `custom_exit_price()` to determine exit price (Prices are moved to be within the closing candle).
* Generate backtest report output
!!! Note

6
docs/strategy-callbacks.md
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@ -387,8 +387,10 @@ class AwesomeStrategy(IStrategy):
**Example**:
If the new_entryprice is 97, the proposed_rate is 100 and the `custom_price_max_distance_ratio` is set to 2%, The retained valid custom entry price will be 98, which is 2% below the current (proposed) rate.
!!! Warning "No backtesting support"
Custom entry-prices are currently not supported during backtesting.
!!! Warning "Backtesting"
While Custom prices are supported in backtesting (starting with 2021.12), prices will be moved to within the candle's high/low prices.
This behavior is currently being tested, and might be changed at a later point.
`custom_exit_price()` is only called for sells of type Sell_signal and Custom sell. All other sell-types will use regular backtesting prices.
## Custom order timeout rules

34
freqtrade/optimize/backtesting.py
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@ -342,10 +342,7 @@ class Backtesting:
# use Open rate if open_rate > calculated sell rate
return sell_row[OPEN_IDX]
# Use the maximum between close_rate and low as we
# cannot sell outside of a candle.
# Applies when a new ROI setting comes in place and the whole candle is above that.
return min(max(close_rate, sell_row[LOW_IDX]), sell_row[HIGH_IDX])
return close_rate
else:
# This should not be reached...
@ -366,6 +363,17 @@ class Backtesting:
trade_dur = int((trade.close_date_utc - trade.open_date_utc).total_seconds() // 60)
closerate = self._get_close_rate(sell_row, trade, sell, trade_dur)
# call the custom exit price,with default value as previous closerate
current_profit = trade.calc_profit_ratio(closerate)
if sell.sell_type in (SellType.SELL_SIGNAL, SellType.CUSTOM_SELL):
# Custom exit pricing only for sell-signals
closerate = strategy_safe_wrapper(self.strategy.custom_exit_price,
default_retval=closerate)(
pair=trade.pair, trade=trade,
current_time=sell_row[DATE_IDX],
proposed_rate=closerate, current_profit=current_profit)
# Use the maximum between close_rate and low as we cannot sell outside of a candle.
closerate = min(max(closerate, sell_row[LOW_IDX]), sell_row[HIGH_IDX])
# Confirm trade exit:
time_in_force = self.strategy.order_time_in_force['sell']
@ -424,13 +432,21 @@ class Backtesting:
stake_amount = self.wallets.get_trade_stake_amount(pair, None)
except DependencyException:
return None
# let's call the custom entry price, using the open price as default price
propose_rate = strategy_safe_wrapper(self.strategy.custom_entry_price,
default_retval=row[OPEN_IDX])(
pair=pair, current_time=row[DATE_IDX].to_pydatetime(),
proposed_rate=row[OPEN_IDX]) # default value is the open rate
min_stake_amount = self.exchange.get_min_pair_stake_amount(pair, row[OPEN_IDX], -0.05) or 0
# Move rate to within the candle's low/high rate
propose_rate = min(max(propose_rate, row[LOW_IDX]), row[HIGH_IDX])
min_stake_amount = self.exchange.get_min_pair_stake_amount(pair, propose_rate, -0.05) or 0
max_stake_amount = self.wallets.get_available_stake_amount()
stake_amount = strategy_safe_wrapper(self.strategy.custom_stake_amount,
default_retval=stake_amount)(
pair=pair, current_time=row[DATE_IDX].to_pydatetime(), current_rate=row[OPEN_IDX],
pair=pair, current_time=row[DATE_IDX].to_pydatetime(), current_rate=propose_rate,
proposed_stake=stake_amount, min_stake=min_stake_amount, max_stake=max_stake_amount)
stake_amount = self.wallets.validate_stake_amount(pair, stake_amount, min_stake_amount)
@ -441,7 +457,7 @@ class Backtesting:
time_in_force = self.strategy.order_time_in_force['sell']
# Confirm trade entry:
if not strategy_safe_wrapper(self.strategy.confirm_trade_entry, default_retval=True)(
pair=pair, order_type=order_type, amount=stake_amount, rate=row[OPEN_IDX],
pair=pair, order_type=order_type, amount=stake_amount, rate=propose_rate,
time_in_force=time_in_force, current_time=row[DATE_IDX].to_pydatetime()):
return None
@ -450,10 +466,10 @@ class Backtesting:
has_buy_tag = len(row) >= BUY_TAG_IDX + 1
trade = LocalTrade(
pair=pair,
open_rate=row[OPEN_IDX],
open_rate=propose_rate,
open_date=row[DATE_IDX].to_pydatetime(),
stake_amount=stake_amount,
amount=round(stake_amount / row[OPEN_IDX], 8),
amount=round(stake_amount / propose_rate, 8),
fee_open=self.fee,
fee_close=self.fee,
is_open=True,