Improve documentation on adjust_trade_position and position_adjustment_enable

This commit is contained in:
Reigo Reinmets 2021-12-11 17:14:04 +02:00
parent f97662e816
commit f11a40f144
8 changed files with 149 additions and 7 deletions

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@ -38,6 +38,8 @@ By default, loop runs every few seconds (`internals.process_throttle_secs`) and
* Considers stoploss, ROI and sell-signal, `custom_sell()` and `custom_stoploss()`. * Considers stoploss, ROI and sell-signal, `custom_sell()` and `custom_stoploss()`.
* Determine sell-price based on `ask_strategy` configuration setting or by using the `custom_exit_price()` callback. * Determine sell-price based on `ask_strategy` configuration setting or by using the `custom_exit_price()` callback.
* Before a sell order is placed, `confirm_trade_exit()` strategy callback is called. * Before a sell order is placed, `confirm_trade_exit()` strategy callback is called.
* Check position adjustments for open trades if enabled.
* Call `adjust_trade_position()` strategy callback and place additional order if required.
* Check if trade-slots are still available (if `max_open_trades` is reached). * Check if trade-slots are still available (if `max_open_trades` is reached).
* Verifies buy signal trying to enter new positions. * Verifies buy signal trying to enter new positions.
* Determine buy-price based on `bid_strategy` configuration setting, or by using the `custom_entry_price()` callback. * Determine buy-price based on `bid_strategy` configuration setting, or by using the `custom_entry_price()` callback.
@ -60,6 +62,7 @@ This loop will be repeated again and again until the bot is stopped.
* Determine stake size by calling the `custom_stake_amount()` callback. * Determine stake size by calling the `custom_stake_amount()` callback.
* Call `custom_stoploss()` and `custom_sell()` to find custom exit points. * 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). * 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).
* Check position adjustments for open trades if enabled and call `adjust_trade_position()` determine additional order is required.
* Generate backtest report output * Generate backtest report output

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@ -171,6 +171,7 @@ Mandatory parameters are marked as **Required**, which means that they are requi
| `user_data_dir` | Directory containing user data. <br> *Defaults to `./user_data/`*. <br> **Datatype:** String | `user_data_dir` | Directory containing user data. <br> *Defaults to `./user_data/`*. <br> **Datatype:** String
| `dataformat_ohlcv` | Data format to use to store historical candle (OHLCV) data. <br> *Defaults to `json`*. <br> **Datatype:** String | `dataformat_ohlcv` | Data format to use to store historical candle (OHLCV) data. <br> *Defaults to `json`*. <br> **Datatype:** String
| `dataformat_trades` | Data format to use to store historical trades data. <br> *Defaults to `jsongz`*. <br> **Datatype:** String | `dataformat_trades` | Data format to use to store historical trades data. <br> *Defaults to `jsongz`*. <br> **Datatype:** String
| `position_adjustment_enable` | Enables the strategy to use position adjustments (additional buys or sells). More information below. <br> **Datatype:** Boolean
### Parameters in the strategy ### Parameters in the strategy
@ -583,6 +584,15 @@ export HTTPS_PROXY="http://addr:port"
freqtrade freqtrade
``` ```
### Understand position_adjustment_enable
The `position_adjustment_enable` configuration parameter enables the usage of `adjust_trade_position()` callback in strategy.
For performance reasons, it's disabled by default, and freqtrade will show a warning message on startup if enabled.
This can be dangerous with some strategies, so use with care.
See [the strategy callbacks](strategy-callbacks.md) for details on usage.
## Next step ## Next step
Now you have configured your config.json, the next step is to [start your bot](bot-usage.md). Now you have configured your config.json, the next step is to [start your bot](bot-usage.md).

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@ -273,6 +273,9 @@ def plot_config(self):
!!! Warning !!! Warning
`plotly` arguments are only supported with plotly library and will not work with freq-ui. `plotly` arguments are only supported with plotly library and will not work with freq-ui.
!!! Note
If `position_adjustment_enable` / `adjust_trade_position()` is used, the trade initial buy price is averaged over multiple orders and the trade start price will most likely appear outside the candle range.
## Plot profit ## Plot profit
![plot-profit](assets/plot-profit.png) ![plot-profit](assets/plot-profit.png)

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@ -229,3 +229,77 @@ for val in self.buy_ema_short.range:
# Append columns to existing dataframe # Append columns to existing dataframe
merged_frame = pd.concat(frames, axis=1) merged_frame = pd.concat(frames, axis=1)
``` ```
### Adjust trade position
`adjust_trade_position()` can be used to perform additional orders to manage risk with DCA (Dollar Cost Averaging) for example.
!!! Tip: The `position_adjustment_enable` configuration parameter must be enabled to use adjust_trade_position callback in strategy.
!!! Warning: Additional orders also mean additional fees.
!!! Warning: Stoploss is still calculated from the initial opening price, not averaged price.
``` python
from freqtrade.persistence import Trade
class DigDeeperStrategy(IStrategy):
# Attempts to handle large drops with DCA. High stoploss is required.
stoploss = -0.30
# ... populate_* methods
def adjust_trade_position(self, pair: str, trade: Trade,
current_time: datetime, current_rate: float, current_profit: float,
**kwargs) -> Optional[float]:
"""
Custom trade adjustment logic, returning the stake amount that a trade should be increased.
This means extra buy orders with additional fees.
:param pair: Pair that's currently analyzed
:param trade: trade object.
:param current_time: datetime object, containing the current datetime
:param current_rate: Rate, calculated based on pricing settings in ask_strategy.
:param current_profit: Current profit (as ratio), calculated based on current_rate.
:param **kwargs: Ensure to keep this here so updates to this won't break your strategy.
:return float: Stake amount to adjust your trade
"""
if current_profit > -0.05:
return None
# Obtain pair dataframe.
dataframe, _ = self.dp.get_analyzed_dataframe(pair, self.timeframe)
# Only buy when not actively falling price.
if dataframe['close'] < dataframe['close'].shift(1):
return None
count_of_buys = 0
for order in trade.orders:
# Instantly stop when there's an open order
if order.ft_is_open:
return None
if order.ft_order_side == 'buy' and order.status == "closed":
count_of_buys += 1
# Allow up to 3 additional increasingly larger buys (4 in total)
# Initial buy is 1x
# If that falls to -5% profit, we buy 1.25x more, average profit should increase to roughly -2.2%
# If that falles down to -5% again, we buy 1.5x more
# If that falles once again down to -5%, we buy 1.75x more
# Total stake for this trade would be 1 + 1.25 + 1.5 + 1.75 = 5.5x of the initial allowed stake.
# Hope you have a deep wallet!
if 0 < count_of_buys <= 3:
try:
stake_amount = self.wallets.get_trade_stake_amount(pair, None)
stake_amount = stake_amount * (1 + (count_of_buys * 0.25))
return stake_amount
except Exception as exception:
return None
return None
```

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@ -15,6 +15,7 @@ Currently available callbacks:
* [`check_buy_timeout()` and `check_sell_timeout()](#custom-order-timeout-rules) * [`check_buy_timeout()` and `check_sell_timeout()](#custom-order-timeout-rules)
* [`confirm_trade_entry()`](#trade-entry-buy-order-confirmation) * [`confirm_trade_entry()`](#trade-entry-buy-order-confirmation)
* [`confirm_trade_exit()`](#trade-exit-sell-order-confirmation) * [`confirm_trade_exit()`](#trade-exit-sell-order-confirmation)
* [`adjust_trade_position()`](#adjust-trade-position)
!!! Tip "Callback calling sequence" !!! Tip "Callback calling sequence"
You can find the callback calling sequence in [bot-basics](bot-basics.md#bot-execution-logic) You can find the callback calling sequence in [bot-basics](bot-basics.md#bot-execution-logic)
@ -568,3 +569,49 @@ class AwesomeStrategy(IStrategy):
return True return True
``` ```
### Adjust trade position
`adjust_trade_position()` can be used to perform additional orders to manage risk with DCA (Dollar Cost Averaging).
!!! Tip: The `position_adjustment_enable` configuration parameter must be enabled to use adjust_trade_position callback in strategy.
!!! Warning: Additional orders also mean additional fees.
!!! Warning: Stoploss is still calculated from the initial opening price, not averaged price.
``` python
from freqtrade.persistence import Trade
class AwesomeStrategy(IStrategy):
# ... populate_* methods
def adjust_trade_position(self, pair: str, trade: Trade,
current_time: datetime, current_rate: float, current_profit: float,
**kwargs) -> Optional[float]:
"""
Custom trade adjustment logic, returning the stake amount that a trade should be increased.
This means extra buy orders with additional fees.
For full documentation please go to https://www.freqtrade.io/en/latest/strategy-advanced/
When not implemented by a strategy, returns None
:param pair: Pair that's currently analyzed
:param trade: trade object.
:param current_time: datetime object, containing the current datetime
:param current_rate: Rate, calculated based on pricing settings in ask_strategy.
:param current_profit: Current profit (as ratio), calculated based on current_rate.
:param **kwargs: Ensure to keep this here so updates to this won't break your strategy.
:return float: Stake amount to adjust your trade
"""
# Example: If 10% loss / -10% profit then buy more the same amount we had before.
if current_profit < -0.10:
return trade.stake_amount
return None
```

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@ -102,6 +102,9 @@ class FreqtradeBot(LoggingMixin):
self._exit_lock = Lock() self._exit_lock = Lock()
LoggingMixin.__init__(self, logger, timeframe_to_seconds(self.strategy.timeframe)) LoggingMixin.__init__(self, logger, timeframe_to_seconds(self.strategy.timeframe))
# Is Position Adjustment enabled?
self.position_adjustment = bool(self.config.get('position_adjustment_enable', False))
def notify_status(self, msg: str) -> None: def notify_status(self, msg: str) -> None:
""" """
Public method for users of this class (worker, etc.) to send notifications Public method for users of this class (worker, etc.) to send notifications
@ -179,7 +182,7 @@ class FreqtradeBot(LoggingMixin):
self.exit_positions(trades) self.exit_positions(trades)
# Check if we need to adjust our current positions before attempting to buy new trades. # Check if we need to adjust our current positions before attempting to buy new trades.
if self.config.get('position_adjustment_enable', False): if self.position_adjustment:
self.process_open_trade_positions() self.process_open_trade_positions()
# Then looking for buy opportunities # Then looking for buy opportunities

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@ -118,6 +118,7 @@ class Backtesting:
# Add maximum startup candle count to configuration for informative pairs support # Add maximum startup candle count to configuration for informative pairs support
self.config['startup_candle_count'] = self.required_startup self.config['startup_candle_count'] = self.required_startup
self.exchange.validate_required_startup_candles(self.required_startup, self.timeframe) self.exchange.validate_required_startup_candles(self.required_startup, self.timeframe)
self.position_adjustment = bool(self.config.get('position_adjustment_enable', False))
self.init_backtest() self.init_backtest()
def __del__(self): def __del__(self):
@ -405,7 +406,7 @@ class Backtesting:
sell_row: Tuple) -> Optional[LocalTrade]: sell_row: Tuple) -> Optional[LocalTrade]:
# Check if we need to adjust our current positions # Check if we need to adjust our current positions
if self.config.get('position_adjustment_enable', False): if self.position_adjustment:
trade = self._get_adjust_trade_entry_for_candle(trade, sell_row) trade = self._get_adjust_trade_entry_for_candle(trade, sell_row)
sell_candle_time = sell_row[DATE_IDX].to_pydatetime() sell_candle_time = sell_row[DATE_IDX].to_pydatetime()

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@ -386,11 +386,12 @@ class IStrategy(ABC, HyperStrategyMixin):
current_time: datetime, current_rate: float, current_profit: float, current_time: datetime, current_rate: float, current_profit: float,
**kwargs) -> Optional[float]: **kwargs) -> Optional[float]:
""" """
Custom trade adjustment logic, returning the stake amount that a trade shold be either increased or decreased. Custom trade adjustment logic, returning the stake amount that a trade should be increased.
This means extra buy orders with additional fees.
For full documentation please go to https://www.freqtrade.io/en/latest/strategy-advanced/ For full documentation please go to https://www.freqtrade.io/en/latest/strategy-advanced/
When not implemented by a strategy, returns 0.0 When not implemented by a strategy, returns None
:param pair: Pair that's currently analyzed :param pair: Pair that's currently analyzed
:param trade: trade object. :param trade: trade object.