The ClucCrypSlow strategy is designed for backtesting trading strategies. Here is a brief description of what the strategy does:
The strategy first populates various indicators using the input dataframe and metadata. It calculates Bollinger Bands (BBANDS) using two different time periods, as well as other indicators such as EMA (Exponential Moving Average), RSI (Relative Strength Index), and ADX (Average Directional Index).
Next, the strategy populates the buy trend by setting specific conditions.
These conditions involve checking the ADX and Aroon values for both the stake/fiat and coin/fiat pairs.
Additionally, it considers the delta between BB1 and the close price, the delta between consecutive close prices, the tail (difference between close and low), and volume-related conditions. For the sell trend, the strategy sets conditions based on the ADX and Aroon values for both pairs, the middle Bollinger Band (BB2), the fast EMA, and the volume. The strategy also includes a custom order timeout feature, where it checks the current order book for a specific pair and compares the current price to the order price with a percentage deviation. If the conditions are met, it returns True; otherwise, it returns False. Finally, the ClucCrypSlow_ETH class extends the ClucCrypSlow strategy specifically for ETH (Ethereum) trading. Note: The code provided is incomplete, and some parts are missing, such as import statements and variable definitions.
Next, the strategy populates the buy trend by setting specific conditions.
These conditions involve checking the ADX and Aroon values for both the stake/fiat and coin/fiat pairs.
Additionally, it considers the delta between BB1 and the close price, the delta between consecutive close prices, the tail (difference between close and low), and volume-related conditions. For the sell trend, the strategy sets conditions based on the ADX and Aroon values for both pairs, the middle Bollinger Band (BB2), the fast EMA, and the volume. The strategy also includes a custom order timeout feature, where it checks the current order book for a specific pair and compares the current price to the order price with a percentage deviation. If the conditions are met, it returns True; otherwise, it returns False. Finally, the ClucCrypSlow_ETH class extends the ClucCrypSlow strategy specifically for ETH (Ethereum) trading. Note: The code provided is incomplete, and some parts are missing, such as import statements and variable definitions.
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: -0.322 timeframe: 15m hash(sha256): 2d6888947f19f2ac3cf84d07cb792d6d00dc3c93a1ec7939f8590472f407f2d8 indicators: closedeltaclose closebblower coinfiataroondown coinfiataroonup sellaroon asks sellbbmiddleclose close tail aroondown bb1delta stakefiataroonup volume bbdeltaclose fisherrsi closedelta midbb2 ema_fast volume_mean_slow stakefiatadx bids bbdeltatail lowerbb1 stakefiataroondown price aroon coinfiatadx aroonup adx selladx rsi ema_slow low lowerbb2
Similar Strategies: (based on used indicators)
Strategy: ClucCrypROI, Similarity Score: 97.14%
last change: 2024-04-28 09:34:17