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The SMAOffsetProtectOptV1 strategy is designed to backtest trading strategies. Here's a short description of what the strategy does:
The populate_indicators function calculates the following indicators:
Exponential Moving Averages (EMA) for different time periods, based on the configuration settings. The Elder's Force Index (EWO), which is a technical indicator used to measure the power behind price movements.
Relative Strength Index (RSI), a momentum oscillator that measures the speed and change of price movements.
The populate_buy_trend function determines the buy signals based on the following conditions: The closing price is below the moving average multiplied by a specified low offset value.
The EWO value is above a specified high threshold. The RSI value is below a specified buy threshold. The trading volume is greater than zero. The populate_sell_trend function determines the sell signals based on the following condition: The closing price is above the moving average multiplied by a specified high offset value. The trading volume is greater than zero. If any of the conditions for buying or selling are met, the respective signal ('buy' or 'sell') is marked in the DataFrame. Overall, this strategy uses moving averages, EWO, and RSI indicators to identify potential buying and selling opportunities based on specified thresholds and offsets.
Relative Strength Index (RSI), a momentum oscillator that measures the speed and change of price movements.
The populate_buy_trend function determines the buy signals based on the following conditions: The closing price is below the moving average multiplied by a specified low offset value.
The EWO value is above a specified high threshold. The RSI value is below a specified buy threshold. The trading volume is greater than zero. The populate_sell_trend function determines the sell signals based on the following condition: The closing price is above the moving average multiplied by a specified high offset value. The trading volume is greater than zero. If any of the conditions for buying or selling are met, the respective signal ('buy' or 'sell') is marked in the DataFrame. Overall, this strategy uses moving averages, EWO, and RSI indicators to identify potential buying and selling opportunities based on specified thresholds and offsets.
stoploss: -0.15 timeframe: 5m hash(sha256): f445105ed5c88c07ba4334c119eeeba0a71cb9a86a6fe0e5d8c7ba48ee1a3fef indicators: rsi_buy volume EWO ewo_high low_offset close ewo_low rsi high_offset base_nb_candles_sell runmode base_nb_candles_buy ma_val
No similar strategies found. (based on used indicators)
last change: 2022-07-02 19:54:08