The ClucHAnix_BB_RPB_MOD strategy is a backtesting strategy that uses various technical indicators to generate buy signals. Here is a breakdown of what the strategy does:
Indicator Calculation: The strategy starts by populating several indicators on the input dataframe. These indicators include Heikin-Ashi candles, exponential moving averages (EMA) of different periods, simple moving average (SMA), relative strength index (RSI), Commodity Channel Index (CTI), stochastic oscillator (STOCH), average directional index (ADX), Bollinger Bands, rate of change (ROCR), and Fisher Transform.
It also calculates additional indicators on an informative pair.
Buy Signal Generation: The strategy then populates buy signals based on specific conditions.
Here are the main conditions: lambo1: Buy when the price is below a certain EMA, RSI values are below specific limits, and a custom tag is added. lambo2: Similar to lambo1, but with different parameter values. local_uptrend: Buy when the short-term EMA is higher than the long-term EMA, the EMA difference exceeds a threshold, the price is below a Bollinger Bands lower band, and other conditions related to price changes are met. nfi_32: Buy when specific RSI and CTI conditions are met, and the price is below a moving average. ewo_1: Buy when RSI, EWO, and price conditions are satisfied for both buy and sell EMAs. ewo_low: Buy when RSI, EWO, and price conditions are satisfied for buy and sell EMAs, but with different parameter values. Tagging Buy Signals: The strategy adds a tag to each row of the dataframe indicating which condition(s) were met for generating the buy signal. The strategy combines these conditions to generate buy signals based on various technical indicators and thresholds.
It also calculates additional indicators on an informative pair.
Buy Signal Generation: The strategy then populates buy signals based on specific conditions.
Here are the main conditions: lambo1: Buy when the price is below a certain EMA, RSI values are below specific limits, and a custom tag is added. lambo2: Similar to lambo1, but with different parameter values. local_uptrend: Buy when the short-term EMA is higher than the long-term EMA, the EMA difference exceeds a threshold, the price is below a Bollinger Bands lower band, and other conditions related to price changes are met. nfi_32: Buy when specific RSI and CTI conditions are met, and the price is below a moving average. ewo_1: Buy when RSI, EWO, and price conditions are satisfied for both buy and sell EMAs. ewo_low: Buy when RSI, EWO, and price conditions are satisfied for buy and sell EMAs, but with different parameter values. Tagging Buy Signals: The strategy adds a tag to each row of the dataframe indicating which condition(s) were met for generating the buy signal. The strategy combines these conditions to generate buy signals based on various technical indicators and thresholds.
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: 1m hash(sha256): 27ba1c87386b1198d6bc51015438d8e8cbd833d351338508920bb2a89a1cd96f indicators: upper local_trend_bb_factor lambo1_ema_14_factor close cofi_ema bb_lowerband lambo1_rsi_4_limit lambo2_rsi_4_limit volume rsi_4 date close ha_closedelta clucha_bbdelta_close rsi_14 bb_upperband2 high ewo_low_offset ema_8 ewo_low_enabled antipump_threshold pump_strength ha_high cofi_enabled adx ema_slow ema_26 ewo_candles_buy local_trend_enabled ewo_high ewo_low rsi_20 bbdelta bb_middleband2 cofi_fastk cofi_ewo_high nfi32_cti_limit closedelta zema_30 ema_fast ha_open sma_15 nfi32_sma_factor cofi_
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last change: 2024-04-28 14:34:51