The YoyoActionStrategy is a trading strategy that uses various indicators to determine buy and sell signals. Here is a short description of what the strategy does:
Populating Indicators:
Calculates the OHLC4 (average of open, high, low, and close prices). Calculates the fast and slow exponential moving averages (EMA).
Calculates the relative strength index (RSI).
Calculates the moving average convergence divergence (MACD).
Determines bullish and bearish conditions based on the MACD. Calculates stop loss levels (sl1 and sl2) using the average true range (ATR). Drops rows with missing values. Indicator Conditions: Calculates several boolean indicators based on conditions: Green: Bullish condition and OHLC4 > fast EMA. Blue: Bearish condition and OHLC4 > fast EMA. Yellow: Bullish condition and OHLC4 < slow EMA. Brown: Bullish condition and OHLC4 < fast EMA and OHLC4 < slow EMA. Red: Bearish condition and OHLC4 < fast EMA. Long: Bullish condition persisting from the previous row. PreBuy: Bullish condition persisting from the previous row. Short: Bearish condition persisting from the previous row. PreSell: Bearish condition persisting from the previous row. GreenLine: True if the close price is above the trail2 level. Signal Generation: Compares current and previous indicator states to generate buy and sell signals. Buys are triggered by: Green buy: When green_last is False and green is True. Over ATR and blue: When greenLine is True and blue is True. Sells are triggered by: Red sell: When red_last is False and red is True. Populating Buy and Sell Trends: Sets the 'buy' column to 1 for rows where the buy signal is True. Sets the 'sell' column to 1 for rows where the sell signal is True. The strategy combines multiple indicators and conditions to generate buy and sell signals based on bullish and bearish market conditions and the movement of different price levels and averages.
Calculates the relative strength index (RSI).
Calculates the moving average convergence divergence (MACD).
Determines bullish and bearish conditions based on the MACD. Calculates stop loss levels (sl1 and sl2) using the average true range (ATR). Drops rows with missing values. Indicator Conditions: Calculates several boolean indicators based on conditions: Green: Bullish condition and OHLC4 > fast EMA. Blue: Bearish condition and OHLC4 > fast EMA. Yellow: Bullish condition and OHLC4 < slow EMA. Brown: Bullish condition and OHLC4 < fast EMA and OHLC4 < slow EMA. Red: Bearish condition and OHLC4 < fast EMA. Long: Bullish condition persisting from the previous row. PreBuy: Bullish condition persisting from the previous row. Short: Bearish condition persisting from the previous row. PreSell: Bearish condition persisting from the previous row. GreenLine: True if the close price is above the trail2 level. Signal Generation: Compares current and previous indicator states to generate buy and sell signals. Buys are triggered by: Green buy: When green_last is False and green is True. Over ATR and blue: When greenLine is True and blue is True. Sells are triggered by: Red sell: When red_last is False and red is True. Populating Buy and Sell Trends: Sets the 'buy' column to 1 for rows where the buy signal is True. Sets the 'sell' column to 1 for rows where the sell signal is True. The strategy combines multiple indicators and conditions to generate buy and sell signals based on bullish and bearish market conditions and the movement of different price levels and averages.
Traceback (most recent call last): File "/freqtrade/freqtrade/main.py", line 42, in main return_code = args['func'](args) ^^^^^^^^^^^^^^^^^^ File "/freqtrade/freqtrade/commands/optimize_commands.py", line 57, in start_backtesting backtesting = Backtesting(config) ^^^^^^^^^^^^^^^^^^^ File "/freqtrade/freqtrade/optimize/backtesting.py", line 114, in __init__ validate_config_consistency(self.config) File "/freqtrade/freqtrade/configuration/config_validation.py", line 95, in validate_config_consistency validate_config_schema(conf, preliminary=preliminary) File "/freqtrade/freqtrade/configuration/config_validation.py", line 65, in validate_config_schema raise ValidationError( jsonschema.exceptions.ValidationError: 'stoploss' is a required property
stoploss: 0 timeframe: 4h hash(sha256): ffe1724a81be351a7b3238e63561e05cf90c4abb96748a7fca4e7a83c9bad3a8 indicators: ohlc4 long close preSell brown bearish trail2 signal_sell preBuy open ema_fast red high sl1 sl2 blue short yellow macd green red_last bullish greenLine_last green_last rsi greenLine ema_slow short_last hold_state low signal_buy
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last change: 2024-04-27 23:48:27