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The MarketChyperHyperStrategy is a trading strategy that utilizes several technical analysis indicators to make buy and sell decisions. In the populate_indicators method, the strategy adds various indicators to the input DataFrame, including ADX (Average Directional Index), PLUS_DI, MINUS_DI, RSI (Relative Strength Index), and MACD (Moving Average Convergence Divergence). These indicators provide insights into trend strength, directional movement, and momentum.
The populate_buy_trend method populates the buy signal based on the indicators.
The strategy considers the current trend (downwards, sideways, or upwards) and sets the "wtOversold" condition based on specific threshold levels for each trend.
It also calculates a "buy_wavetrend_weight" based on the trend and the occurrence of a bullish divergence and assigns it to the "total_buy_signal_strength" column. The strategy then compares the total buy signal strength with predefined thresholds for each trend to determine if a buy signal should be generated. There are also options to exclude trades for specific trends if desired. Similarly, the populate_sell_trend method populates the sell signal based on the indicators. It considers the trend, sets the "wtOverbought" condition based on threshold levels, calculates a "sell_wavetrend_weight" based on the trend and the occurrence of a bearish divergence, and adds it to the "total_sell_signal_strength" column. The strategy then compares the total sell signal strength with predefined thresholds for each trend to determine if a sell signal should be generated. Overall, the strategy combines multiple indicators and divergence signals to generate buy and sell signals based on trend conditions and predefined thresholds.
The populate_buy_trend method populates the buy signal based on the indicators.
The strategy considers the current trend (downwards, sideways, or upwards) and sets the "wtOversold" condition based on specific threshold levels for each trend.
It also calculates a "buy_wavetrend_weight" based on the trend and the occurrence of a bullish divergence and assigns it to the "total_buy_signal_strength" column. The strategy then compares the total buy signal strength with predefined thresholds for each trend to determine if a buy signal should be generated. There are also options to exclude trades for specific trends if desired. Similarly, the populate_sell_trend method populates the sell signal based on the indicators. It considers the trend, sets the "wtOverbought" condition based on threshold levels, calculates a "sell_wavetrend_weight" based on the trend and the occurrence of a bearish divergence, and adds it to the "total_sell_signal_strength" column. The strategy then compares the total sell signal strength with predefined thresholds for each trend to determine if a sell signal should be generated. Overall, the strategy combines multiple indicators and divergence signals to generate buy and sell signals based on trend conditions and predefined thresholds.
stoploss: -0.124 timeframe: 1h hash(sha256): 72e01dc085465da903c61746d0b5437ece9b8d40f03c9d66e1bc89129479777f
Was not able to fetch indicators from Strategyfile.
last change: 2022-07-11 15:17:41