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The NFI7HO strategy is designed to backtest trading strategies. It has several components:
populate_indicators: This function calculates and populates various indicators for the given dataframe, including informative indicators for a 1-hour timeframe and normal timeframe indicators. populate_buy_trend: This function defines the conditions for triggering a buy signal based on the indicators and other parameters.
It uses multiple conditions, each represented as a list of boolean expressions.
The conditions include comparisons between various columns of the dataframe, such as moving averages, close prices, EWO (Elliott Wave Oscillator), RSI (Relative Strength Index), and volume.
These conditions are combined using logical operators like AND (&). Additionally, there are buy protections and logic defined for buy conditions 1, 2, and 3, which involve comparisons with EMAs (Exponential Moving Averages), RSI differentials, Bollinger Bands, MFI (Money Flow Index), and other indicators. The resulting buy triggers are stored in the dataframe as the 'buy_01_trigger', 'buy_02_trigger', and 'buy_03_trigger' columns. Overall, the strategy calculates indicators, defines buy conditions, and generates buy triggers based on those conditions. It is a complex strategy with multiple parameters and indicators that aim to identify favorable buying opportunities in trading.
It uses multiple conditions, each represented as a list of boolean expressions.
The conditions include comparisons between various columns of the dataframe, such as moving averages, close prices, EWO (Elliott Wave Oscillator), RSI (Relative Strength Index), and volume.
These conditions are combined using logical operators like AND (&). Additionally, there are buy protections and logic defined for buy conditions 1, 2, and 3, which involve comparisons with EMAs (Exponential Moving Averages), RSI differentials, Bollinger Bands, MFI (Money Flow Index), and other indicators. The resulting buy triggers are stored in the dataframe as the 'buy_01_trigger', 'buy_02_trigger', and 'buy_03_trigger' columns. Overall, the strategy calculates indicators, defines buy conditions, and generates buy triggers based on those conditions. It is a complex strategy with multiple parameters and indicators that aim to identify favorable buying opportunities in trading.
stoploss: -0.99 timeframe: 5m hash(sha256): 7c2264c3596751e63a5033a41d4a87d61415c1801772769f67356d05bd132b4c
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last change: 2022-07-02 19:54:08