The DefaultStrategy is a trading strategy that utilizes various technical analysis indicators to generate buy and sell signals. The strategy first populates the given DataFrame with multiple indicators, including ADX (Average Directional Index), AO (Awesome Oscillator), MACD (Moving Average Convergence Divergence), MFI (Money Flow Index), and Bollinger Bands, among others. In the populate_buy_trend method, the strategy defines the conditions for a buy signal.
It looks for instances where the RSI (Relative Strength Index) is below 35, the fast %K of the Stochastic Oscillator is below 35, the ADX is above 30, and the plus DI (Directional Indicator) is greater than 0.5.
Additionally, it identifies cases where the ADX is above 65 and the plus DI is greater than 0.5.
When these conditions are met, the 'buy' column in the DataFrame is set to 1, indicating a buy signal. Similarly, in the populate_sell_trend method, the strategy determines the conditions for a sell signal. It checks for situations where either the RSI or the fast %D of the Stochastic Oscillator crosses above 70, the ADX is above 10, and the minus DI is greater than 0. It also identifies cases where the ADX is above 70 and the minus DI is greater than 0.5. Overall, the strategy aims to capture potential buying opportunities when certain indicators suggest oversold conditions and selling opportunities when indicators indicate overbought conditions.
It looks for instances where the RSI (Relative Strength Index) is below 35, the fast %K of the Stochastic Oscillator is below 35, the ADX is above 30, and the plus DI (Directional Indicator) is greater than 0.5.
Additionally, it identifies cases where the ADX is above 65 and the plus DI is greater than 0.5.
When these conditions are met, the 'buy' column in the DataFrame is set to 1, indicating a buy signal. Similarly, in the populate_sell_trend method, the strategy determines the conditions for a sell signal. It checks for situations where either the RSI or the fast %D of the Stochastic Oscillator crosses above 70, the ADX is above 10, and the minus DI is greater than 0. It also identifies cases where the ADX is above 70 and the minus DI is greater than 0.5. Overall, the strategy aims to capture potential buying opportunities when certain indicators suggest oversold conditions and selling opportunities when indicators indicate overbought conditions.
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 58, in start_backtesting backtesting.start() File "/freqtrade/freqtrade/optimize/backtesting.py", line 1401, in start min_date, max_date = self.backtest_one_strategy(strat, data, timerange) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/freqtrade/freqtrade/optimize/backtesting.py", line 1318, in backtest_one_strategy preprocessed = self.strategy.advise_all_indicators(data) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/freqtrade/freqtrade/strategy/interface.py", line 1378, in advise_all_indicators return {pair: self.advise_indicators(pair_data.copy(), {'pair': pair}).copy() ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/freqtrade/freqtrade/strategy/interface.py", line 1378, inreturn {pair: self.advise_indicators(pair_data.copy(), {'pair': pair}).copy() ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/freqtrade/freqtrade/strategy/interface.py", line 1410, in advise_indicators return self.populate_indicators(dataframe, metadata) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/freqtrade/user_data/strategies/default_strategy_8.py", line 101, in populate_indicators dataframe['blower'] = ta.BBANDS(dataframe, nbdevup=2, nbdevdn=2)['lowerband'] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "talib/_abstract.pxi", line 444, in talib._ta_lib.Function.__call__ File "talib/_abstract.pxi", line 294, in talib._ta_lib.Function.set_function_args File "talib/_abstract.pxi", line 513, in talib._ta_lib.Function.__check_opt_input_value TypeError: Invalid parameter value for nbdevup (expected float, got int)
stoploss: -0.1 timeframe: 5m hash(sha256): 54959d9d2d741bc17ae56567ee89a0433e9785d4438298b7c1007905e6be2ad4 indicators: lowerband upper htsine minus_dm tema plus_dm CDLDRAGONFLYDOJI CDLHANGINGMAN CDLSHOOTINGSTAR CDLGRAVESTONEDOJI close ha_low CDLSPINNINGTOP mfi bb_lowerband ema5 CDLENGULFING fastd_rsi CDL3WHITESOLDIERS fastk macdhist CDLHAMMER htleadsine sma slowd leadsine CDLMORNINGSTAR CDLEVENINGDOJISTAR blower open plus_di fastd ema10 CDLPIERCING CDLEVENINGSTAR sar ha_open CDL3OUTSIDE high macdsignal slowk mid fisher_rsi fastk_rsi ema100 fisher_rsi_norma cci ha_close macd CDL3INSIDE ema3 CDLINVERTEDHAMMER CDLH
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last change: 2024-04-29 19:43:01