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The StrategyScalpingFast2 is a trading strategy that focuses on short-term scalping opportunities. Here's a breakdown of what the strategy does:
populate_indicators method:
Calculates the Simple Moving Average (SMA) of the close price over a period of 50. Resamples the dataframe to a specific timeframe and calculates the SMA on the resampled data.
Calculates the Exponential Moving Averages (EMA) of the high, close, and low prices over a period of 5.
Calculates the Stochastic Fast Oscillator (STOCHF) with parameters (5, 3, 0, 3, 0).
Calculates the Average Directional Index (ADX), Commodity Channel Index (CCI), Relative Strength Index (RSI), and Money Flow Index (MFI). Calculates the Bollinger Bands using a window of 20 and a standard deviation of 2. populate_buy_trend method: Defines a list of conditions for identifying potential buy signals. Checks if the volume is greater than 0. Checks if the open price is below the EMA low. Checks if the resampled SMA is below the close price. If enabled, checks additional conditions such as ADX value, MFI value, Fastk value, and Fastd value. If both Fastk and Fastd are enabled, checks if Fastk crossed above Fastd. Sets the "buy" column to 1 for rows that meet all the conditions. populate_sell_trend method: Defines a list of conditions for identifying potential sell signals. Checks if the open price is greater than or equal to the EMA high. If enabled, checks additional conditions such as Fastk value, Fastd value, CCI value, and ADX value. Sets the "sell" column to 1 for rows that meet all the conditions. The strategy uses various technical indicators to generate buy and sell signals based on the defined conditions.
Calculates the Exponential Moving Averages (EMA) of the high, close, and low prices over a period of 5.
Calculates the Stochastic Fast Oscillator (STOCHF) with parameters (5, 3, 0, 3, 0).
Calculates the Average Directional Index (ADX), Commodity Channel Index (CCI), Relative Strength Index (RSI), and Money Flow Index (MFI). Calculates the Bollinger Bands using a window of 20 and a standard deviation of 2. populate_buy_trend method: Defines a list of conditions for identifying potential buy signals. Checks if the volume is greater than 0. Checks if the open price is below the EMA low. Checks if the resampled SMA is below the close price. If enabled, checks additional conditions such as ADX value, MFI value, Fastk value, and Fastd value. If both Fastk and Fastd are enabled, checks if Fastk crossed above Fastd. Sets the "buy" column to 1 for rows that meet all the conditions. populate_sell_trend method: Defines a list of conditions for identifying potential sell signals. Checks if the open price is greater than or equal to the EMA high. If enabled, checks additional conditions such as Fastk value, Fastd value, CCI value, and ADX value. Sets the "sell" column to 1 for rows that meet all the conditions. The strategy uses various technical indicators to generate buy and sell signals based on the defined conditions.
startup_candle_count : 200 adx: 0.098% rsi: 0.003%
stoploss: -0.326 timeframe: 1m hash(sha256): 2db927e231f91ec7a6c8b3286319b75f8ab40fe26487bd189711cc4dfe94456d indicators: upper ema_close mfienabled close sellfastkvalue mfi bb_lowerband fastk fastkenabled sma sellfastkenabled volume selladxvalue open sellccienabled fastd sellmfienabled mid ema_high sellmfivalue cci ema_low adxvalue selladxenabled adx lower sellfastdvalue fastdenabled bb_middleband rsi mfivalue adxenabled bb_upperband resample_sma fastdvalue sellfastdenabled fastkvalue
No similar strategies found. (based on used indicators)
last change: 2023-07-03 02:32:22