The DefaultStrategy is a trading strategy implemented as a class that inherits from the IStrategy interface. It consists of three main functions: populate_indicators, populate_buy_trend, and populate_sell_trend. The populate_indicators function adds several technical analysis (TA) indicators to the given DataFrame.
These indicators include ADX, Awesome Oscillator (AO), MACD, MFI, Minus Directional Movement (-DM), Minus Directional Indicator (-DI), Plus Directional Movement (+DM), Plus Directional Indicator (+DI), Fisher Transform of RSI, Stochastic Oscillator (SlowD and SlowK), Bollinger Bands (lower, middle, and upper), Exponential Moving Averages (EMA), SAR, Simple Moving Average (SMA), Triple Exponential Moving Average (TEMA), Hilbert Transform - SineWave (HTSINE and HTLEADSINE), and Heikin-Ashi OHLC values.
The populate_buy_trend function determines the buy signals based on the TA indicators.
In this strategy, it identifies buy opportunities when RSI is below 35, FastD of Stochastic Oscillator is below 35, ADX is above 30, and Plus Directional Indicator is above 0.5. It also considers a buy signal when ADX is above 65 and Plus Directional Indicator is above 0.5. The populate_sell_trend function determines the sell signals based on the TA indicators. In this strategy, it identifies sell opportunities when RSI or FastD of Stochastic Oscillator cross above 70, ADX is above 10, and Minus Directional Indicator is above 0. It also considers a sell signal when ADX is above 70 and Minus Directional Indicator is above 0.5. These functions help in generating buy and sell signals for the backtesting of trading strategies on the website.
These indicators include ADX, Awesome Oscillator (AO), MACD, MFI, Minus Directional Movement (-DM), Minus Directional Indicator (-DI), Plus Directional Movement (+DM), Plus Directional Indicator (+DI), Fisher Transform of RSI, Stochastic Oscillator (SlowD and SlowK), Bollinger Bands (lower, middle, and upper), Exponential Moving Averages (EMA), SAR, Simple Moving Average (SMA), Triple Exponential Moving Average (TEMA), Hilbert Transform - SineWave (HTSINE and HTLEADSINE), and Heikin-Ashi OHLC values.
The populate_buy_trend function determines the buy signals based on the TA indicators.
In this strategy, it identifies buy opportunities when RSI is below 35, FastD of Stochastic Oscillator is below 35, ADX is above 30, and Plus Directional Indicator is above 0.5. It also considers a buy signal when ADX is above 65 and Plus Directional Indicator is above 0.5. The populate_sell_trend function determines the sell signals based on the TA indicators. In this strategy, it identifies sell opportunities when RSI or FastD of Stochastic Oscillator cross above 70, ADX is above 10, and Minus Directional Indicator is above 0. It also considers a sell signal when ADX is above 70 and Minus Directional Indicator is above 0.5. These functions help in generating buy and sell signals for the backtesting of trading strategies on the website.
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/DefaultStrategy_0.py", line 112, 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): 320176b9bf05a759952ec6b181ae531145786fdf9447da083d916c829a90fe9e 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 00:20:43