Implement strategy-controlled stake sizes. Expose self.wallet
to a strategy.
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@@ -521,6 +521,37 @@ class AwesomeStrategy(IStrategy):
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```
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### Stake size management
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It is possible to manage your risk by reducing or increasing or reducing stake amount when placing a new trade.
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```python
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class AwesomeStrategy(IStrategy):
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def custom_stake_amount(self, pair: str, current_time: datetime, current_rate: float,
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proposed_stake: float, min_stake: float, max_stake: float,
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**kwargs) -> float:
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dataframe, _ = self.dp.get_analyzed_dataframe(pair=pair, timeframe=self.timeframe)
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current_candle = dataframe.iloc[-1].squeeze()
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if current_candle['fastk_rsi_1h'] > current_candle['fastd_rsi_1h']:
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if self.config['stake_amount'] == 'unlimited':
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# Use entire available wallet during favorable conditions when in compounding mode.
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return max_stake
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else:
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# Compound profits during favorable conditions instead of using a static stake.
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return self.wallets.get_total_stake_amount() / self.config['max_open_trades']
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# Use default stake amount.
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return proposed_stake
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```
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!!! Tip
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You do not _have_ to ensure that `min_stake <= returned_value <= max_stake`. Trades will succeed, as returned value will be clamped to supported range and this acton will be logged.
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!!! Tip
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Returning `0` or `None` will prevent trades from being placed.
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---
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## Derived strategies
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