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The "ElliotV8_original_ichiv3" strategy is a trading strategy that uses various indicators to make buy and sell decisions. Here is a short description of what the strategy does:
In the "populate_indicators" function:
Calculates exponential moving averages (EMAs) for different time periods and adds them as columns to the dataframe. Calculates the Hull Moving Average (HMA) with a window of 50 and adds it as a column.
Calculates the Simple Moving Average (SMA) with a time period of 9 and adds it as a column.
Calculates the Elder's Force Index (EWO) using custom logic and adds it as a column.
Calculates the Relative Strength Index (RSI) with time periods of 14, 4, and 20 and adds them as columns. In the "populate_buy_trend" function: Defines buy conditions based on the following criteria: RSI fast is less than 35. The closing price is below a certain offset percentage of the specified moving average (MA). EWO is above a certain value. RSI is below a certain value. Volume is greater than 0. The closing price is below a certain offset percentage of another specified MA. If any of the conditions are met, sets the "buy" column to 1 for those rows. In the "populate_sell_trend" function: Defines sell conditions based on the following criteria: The closing price is above a certain Hull Moving Average (HMA). The closing price is above a certain offset percentage of the specified MA. RSI is above 50. Volume is greater than 0. RSI fast is greater than RSI slow. OR The closing price is below the HMA. The closing price is above a certain offset percentage of the specified MA. Volume is greater than 0. RSI fast is greater than RSI slow. If any of the conditions are met, sets the "sell" column to 1 for those rows. Overall, this strategy uses moving averages, the Hull Moving Average, the Elder's Force Index, and the Relative Strength Index to determine buy and sell signals based on specific conditions.
Calculates the Simple Moving Average (SMA) with a time period of 9 and adds it as a column.
Calculates the Elder's Force Index (EWO) using custom logic and adds it as a column.
Calculates the Relative Strength Index (RSI) with time periods of 14, 4, and 20 and adds them as columns. In the "populate_buy_trend" function: Defines buy conditions based on the following criteria: RSI fast is less than 35. The closing price is below a certain offset percentage of the specified moving average (MA). EWO is above a certain value. RSI is below a certain value. Volume is greater than 0. The closing price is below a certain offset percentage of another specified MA. If any of the conditions are met, sets the "buy" column to 1 for those rows. In the "populate_sell_trend" function: Defines sell conditions based on the following criteria: The closing price is above a certain Hull Moving Average (HMA). The closing price is above a certain offset percentage of the specified MA. RSI is above 50. Volume is greater than 0. RSI fast is greater than RSI slow. OR The closing price is below the HMA. The closing price is above a certain offset percentage of the specified MA. Volume is greater than 0. RSI fast is greater than RSI slow. If any of the conditions are met, sets the "sell" column to 1 for those rows. Overall, this strategy uses moving averages, the Hull Moving Average, the Elder's Force Index, and the Relative Strength Index to determine buy and sell signals based on specific conditions.
stoploss: -0.2 timeframe: 5m hash(sha256): fe250e08f351a76c564a8af37cce1ee7067c1ba17834b1520528b5e2e4ece4b3 indicators: rsi_buy EWO ewo_high close high_offset_2 ewo_low rsi_fast ma_sell_val ma_buy_val volume low_offset high_offset base_nb_candles_buy max_open_trades base_nb_candles_sell hma_50 sma_9 rsi_slow rsi runmode
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last change: 2022-07-02 19:54:08