The DefaultStrategy is a trading strategy that is implemented as a class and inherits from the IStrategy interface. It contains three main functions: populate_indicators, populate_buy_trend, and populate_sell_trend. populate_indicators:
This function adds several technical analysis (TA) indicators to the given DataFrame.
These indicators include ADX (Average Directional Index), AO (Awesome Oscillator), MACD (Moving Average Convergence Divergence), MFI (Money Flow Index), and various moving averages (EMA) among others.
Some indicators are commented out, indicating that they are optional and can be enabled based on the user's preferences.
populate_buy_trend: This function populates the buy signal for the given DataFrame based on the values of various TA indicators. The buy conditions include low RSI (Relative Strength Index), low fast %D (Stochastic Oscillator), high ADX, and positive values for the plus DI (Directional Indicator). These conditions suggest potential buying opportunities. populate_sell_trend: This function populates the sell signal for the given DataFrame based on the values of TA indicators. The sell conditions include crossing above certain thresholds for RSI and fast %D, ADX above a certain level, and positive values for the minus DI. These conditions indicate potential selling opportunities. Overall, the DefaultStrategy class aims to generate buy and sell signals based on a combination of TA indicators to help automate trading decisions. The specific indicators and their thresholds can be adjusted based on the user's preferences and trading strategy.
These indicators include ADX (Average Directional Index), AO (Awesome Oscillator), MACD (Moving Average Convergence Divergence), MFI (Money Flow Index), and various moving averages (EMA) among others.
Some indicators are commented out, indicating that they are optional and can be enabled based on the user's preferences.
populate_buy_trend: This function populates the buy signal for the given DataFrame based on the values of various TA indicators. The buy conditions include low RSI (Relative Strength Index), low fast %D (Stochastic Oscillator), high ADX, and positive values for the plus DI (Directional Indicator). These conditions suggest potential buying opportunities. populate_sell_trend: This function populates the sell signal for the given DataFrame based on the values of TA indicators. The sell conditions include crossing above certain thresholds for RSI and fast %D, ADX above a certain level, and positive values for the minus DI. These conditions indicate potential selling opportunities. Overall, the DefaultStrategy class aims to generate buy and sell signals based on a combination of TA indicators to help automate trading decisions. The specific indicators and their thresholds can be adjusted based on the user's preferences and trading strategy.
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.py", line 82, in populate_indicators dataframe['fisher_rsi'] = fishers_inverse(dataframe['rsi']) ^^^^^^^^^^^^^^^ NameError: name 'fishers_inverse' is not defined
stoploss: -0.1 timeframe: 5m hash(sha256): b28d327a585369aa318f203d4542f713ba7eb8d1815ff3237f10175eb50841be 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 13:01:21