The DefaultStrategy is a trading strategy that utilizes various technical indicators to generate buy and sell signals. In the populate_indicators method, several indicators are calculated and added to the input DataFrame. These indicators include ADX (Average Directional Index), Awesome Oscillator, MACD (Moving Average Convergence Divergence), MFI (Money Flow Index), MINUS_DM, MINUS_DI, PLUS_DM, PLUS_DI, Fisher RSI, Stochastic Oscillator, Bollinger Bands, EMA (Exponential Moving Average), SAR (Stop and Reverse), SMA (Simple Moving Average), TEMA (Triple Exponential Moving Average), and HT_SINE (Hilbert Transform - SineWave).
Some candlestick pattern indicators like CDLHAMMER, CDLINVERTEDHAMMER, CDLDRAGONFLYDOJI, and others are commented out and not used in this strategy.
The populate_buy_trend method determines the buy signals based on specific conditions using the calculated indicators.
In this strategy, a buy signal is generated when the RSI (Relative Strength Index) is below 35, the fast %D of the Stochastic Oscillator is below 35, the ADX is above 30, and the PLUS_DI (Plus Directional Indicator) is greater than 0.5. Alternatively, a buy signal is also generated when the ADX is above 65 and the PLUS_DI is greater than 0.5. The populate_sell_trend method determines the sell signals based on specific conditions using the indicators. In this strategy, a sell signal is generated when either the RSI or the fast %D of the Stochastic Oscillator crosses above 70, the ADX is above 10, and the MINUS_DI (Minus Directional Indicator) is greater than 0. Alternatively, a sell signal is also generated when the ADX is above 70 and the MINUS_DI is greater than 0.5. Overall, the DefaultStrategy combines multiple technical indicators to identify potential buying and selling opportunities in the market. It aims to enter trades during favorable market conditions indicated by the selected indicators and exit trades when certain sell conditions are met.
Some candlestick pattern indicators like CDLHAMMER, CDLINVERTEDHAMMER, CDLDRAGONFLYDOJI, and others are commented out and not used in this strategy.
The populate_buy_trend method determines the buy signals based on specific conditions using the calculated indicators.
In this strategy, a buy signal is generated when the RSI (Relative Strength Index) is below 35, the fast %D of the Stochastic Oscillator is below 35, the ADX is above 30, and the PLUS_DI (Plus Directional Indicator) is greater than 0.5. Alternatively, a buy signal is also generated when the ADX is above 65 and the PLUS_DI is greater than 0.5. The populate_sell_trend method determines the sell signals based on specific conditions using the indicators. In this strategy, a sell signal is generated when either the RSI or the fast %D of the Stochastic Oscillator crosses above 70, the ADX is above 10, and the MINUS_DI (Minus Directional Indicator) is greater than 0. Alternatively, a sell signal is also generated when the ADX is above 70 and the MINUS_DI is greater than 0.5. Overall, the DefaultStrategy combines multiple technical indicators to identify potential buying and selling opportunities in the market. It aims to enter trades during favorable market conditions indicated by the selected indicators and exit trades when certain sell conditions are met.
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_132.py", line 106, 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): 13b2a37b679e2cd32cbe0a7914d1a9e837de6ef241321e8af802ce1104aea320 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: 2024-04-28 16:20:45