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The Strategy003 class is a trading strategy that uses various technical indicators to generate buy and sell signals for a given financial instrument. The populate_indicators method is responsible for populating the DataFrame with several technical indicators such as MFI (Money Flow Index), STOCHF (Stochastic Fast), RSI (Relative Strength Index), Fisher RSI, Bollinger Bands, EMA (Exponential Moving Average), SAR (Stop and Reverse), and SMA (Simple Moving Average). These indicators provide insights into the market conditions and price trends.
The populate_buy_trend method uses the populated indicators to determine the buy signal for the DataFrame.
It checks for specific conditions such as a low RSI value (< 28), close price below the SMA (Simple Moving Average), Fisher RSI below a threshold, low MFI (Money Flow Index), positive cross between EMA5 and EMA10, and other conditions related to STOCHF (Stochastic Fast).
When these conditions are met, the 'buy' column in the DataFrame is set to 1. The populate_sell_trend method determines the sell signal based on the indicators. It checks if the SAR (Stop and Reverse) indicator is above the close price and if the Fisher RSI is above a certain threshold. If these conditions are met, the 'sell' column in the DataFrame is set to 1. Overall, this strategy aims to identify potential buying opportunities when certain technical conditions are met and generate sell signals when specific criteria indicate a potential reversal or profit-taking opportunity.
The populate_buy_trend method uses the populated indicators to determine the buy signal for the DataFrame.
It checks for specific conditions such as a low RSI value (< 28), close price below the SMA (Simple Moving Average), Fisher RSI below a threshold, low MFI (Money Flow Index), positive cross between EMA5 and EMA10, and other conditions related to STOCHF (Stochastic Fast).
When these conditions are met, the 'buy' column in the DataFrame is set to 1. The populate_sell_trend method determines the sell signal based on the indicators. It checks if the SAR (Stop and Reverse) indicator is above the close price and if the Fisher RSI is above a certain threshold. If these conditions are met, the 'sell' column in the DataFrame is set to 1. Overall, this strategy aims to identify potential buying opportunities when certain technical conditions are met and generate sell signals when specific criteria indicate a potential reversal or profit-taking opportunity.
stoploss: -0.1 timeframe: 5m hash(sha256): 825993e83269b5c6279faa3803750e9e8d605b0592294612f55332ad97da369e
Was not able to fetch indicators from Strategyfile.
last change: 2022-07-02 19:54:08