The MoniGoManiHyperStrategyTest is a trading strategy that utilizes various technical analysis (TA) indicators to make buy and sell decisions in the market. The strategy first populates the given DataFrame with several indicators, including ADX (Average Directional Index), PLUS_DI (Plus Directional Indicator), MINUS_DI (Minus Directional Indicator), RSI (Relative Strength Index), MACD (Moving Average Convergence Divergence), SMAs (Simple Moving Averages), EMAs (Exponential Moving Averages), Bollinger Bands, and VWAP (Volume-Weighted Average Price). Once the indicators are calculated, the strategy populates the "buy" column of the DataFrame based on the indicator values and the trend identified.
If the ADX is greater than 20 and the PLUS_DI is less than the MINUS_DI, the trend is considered "downwards." If the ADX is less than 20, the trend is considered "sideways." If the ADX is greater than 20 and the PLUS_DI is greater than the MINUS_DI, the trend is considered "upwards." The strategy assigns weighted buy signals to different indicators based on the trend and indicator crossovers.
For example, if the trend is "downwards" and the RSI crosses above 30, a weighted buy signal is assigned to the RSI indicator.
The same is done for other indicators like MACD, SMA, EMA, Bollinger Bands, and VWAP. The strength of the buy signal is accumulated in the "total_buy_signal_strength" column. Overall, this strategy aims to capture potential buying opportunities based on the combination of different TA indicators and trend analysis.
If the ADX is greater than 20 and the PLUS_DI is less than the MINUS_DI, the trend is considered "downwards." If the ADX is less than 20, the trend is considered "sideways." If the ADX is greater than 20 and the PLUS_DI is greater than the MINUS_DI, the trend is considered "upwards." The strategy assigns weighted buy signals to different indicators based on the trend and indicator crossovers.
For example, if the trend is "downwards" and the RSI crosses above 30, a weighted buy signal is assigned to the RSI indicator.
The same is done for other indicators like MACD, SMA, EMA, Bollinger Bands, and VWAP. The strength of the buy signal is accumulated in the "total_buy_signal_strength" column. Overall, this strategy aims to capture potential buying opportunities based on the combination of different TA indicators and trend analysis.
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/manytest.py", line 457, in populate_indicators dataframe['vwap'] = qtpylib.vwap(dataframe) ^^^^^^^^^^^^^^^^^^^^^^^ File "/freqtrade/freqtrade/vendor/qtpylib/indicators.py", line 333, in vwap raise ValueError("using `qtpylib.vwap` facilitates lookahead bias. Please use " ValueError: using `qtpylib.vwap` facilitates lookahead bias. Please use `qtpylib.rolling_vwap` instead, which calculates vwap in a rolling manner.
stoploss: -0.058 timeframe: 1h hash(sha256): 4fd4d388c63757ad7d3819b6ffde9f0ecc941443f550495e8d09134ba52301c9 indicators: adx_strong_up_weighted_buy_signal wtOversold upper bollinger_bands_weighted_buy_signal total_buy_signal_strength wtCrossUp wtVwap close sma_long_death_cross_weighted_sell_signal bb_lowerband ap crossed_above tci wt1 ema_long_death_cross_weighted_sell_signal crossed_below rsi_weighted_sell_signal trend esa wt2 sma_short_death_cross_weighted_sell_signal sma9 plus_di ema_long_golden_cross_weighted_buy_signal bearish_div ema9 vwap_cross_weighted_buy_signal high macdsignal macd_weighted_sell_signal c
Similar Strategies: (based on used indicators)
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last change: 2024-04-28 05:04:34