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The strategy, named "CombinedBinHAndClucV8," is implemented as a class that inherits from the IStrategy class. It consists of three main functions: populate_indicators, populate_buy_trend, and populate_sell_trend. In the populate_indicators function, the strategy calculates various indicators based on the provided dataframe and metadata.
It utilizes the informative_1h_indicators and normal_tf_indicators methods to populate the indicators.
The merge_informative_pair function is used to merge the informative 1-hour indicators with the current timeframe indicators.
The populate_buy_trend function defines a set of conditions that determine when to enter a buy trade. These conditions involve comparing different price and indicator values in the dataframe. The conditions check for various criteria such as moving averages (ema), dip thresholds, Bollinger Bands (bb), relative strength index (rsi), and volume. If any of the conditions are met, the "buy" column in the dataframe is set to 1 to indicate a potential buy signal. Similarly, the populate_sell_trend function defines conditions for determining when to sell a position. The conditions include checking for price crossing above the upper Bollinger Band and the relative strength index surpassing a certain value. If any of the conditions are met, the "sell" column in the dataframe is set to 1 to indicate a potential sell signal. Overall, the strategy aims to identify buying opportunities based on multiple technical indicators and sell positions under specific conditions.
It utilizes the informative_1h_indicators and normal_tf_indicators methods to populate the indicators.
The merge_informative_pair function is used to merge the informative 1-hour indicators with the current timeframe indicators.
The populate_buy_trend function defines a set of conditions that determine when to enter a buy trade. These conditions involve comparing different price and indicator values in the dataframe. The conditions check for various criteria such as moving averages (ema), dip thresholds, Bollinger Bands (bb), relative strength index (rsi), and volume. If any of the conditions are met, the "buy" column in the dataframe is set to 1 to indicate a potential buy signal. Similarly, the populate_sell_trend function defines conditions for determining when to sell a position. The conditions include checking for price crossing above the upper Bollinger Band and the relative strength index surpassing a certain value. If any of the conditions are met, the "sell" column in the dataframe is set to 1 to indicate a potential sell signal. Overall, the strategy aims to identify buying opportunities based on multiple technical indicators and sell positions under specific conditions.
stoploss: -0.99 timeframe: 5m hash(sha256): ef5bddbcdabced2dc1854cd743d29030755d4e3d8db9987bfed3347b3143d49f
Was not able to fetch indicators from Strategyfile.
last change: 2022-07-31 21:54:51