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The LuxOSC strategy is a trading strategy that utilizes several indicators to generate buy and sell signals. Here's a breakdown of its main components:
Indicators:
'osc': Represents the oscillator value calculated using the LUX_SuperTrendOscillator function. 'signal': Indicates the signal generated by the strategy.
'histogram': Represents the histogram value derived from the strategy's calculations.
'supertrend': Indicates the supertrend value calculated based on the strategy's parameters.
populate_indicators: This method populates the indicator values in the provided dataframe. It calculates the 'osc', 'signal', 'histogram', and 'supertrend' columns using the LUX_SuperTrendOscillator function with specific parameters. The updated dataframe with populated indicators is returned. populate_buy_trend: This method generates buy signals based on specific conditions. It updates the 'buy' column in the dataframe with a value of 1 for rows that meet the following conditions: 'osc' crosses above a specified value (cross_buy). 'supertrend' is greater than the 'close' price. 'volume' is greater than 0. The updated dataframe with buy signals is returned. populate_sell_trend: This method generates sell signals based on a specific condition. It updates the 'sell' column in the dataframe with a value of 1 for rows that meet the following condition: 'osc' crosses below a specified value (cross_sell). 'volume' is greater than 0. The updated dataframe with sell signals is returned. In summary, the LuxOSC strategy uses indicators such as the oscillator, supertrend, and signal to generate buy and sell signals. The buy signals are generated when the oscillator crosses above a threshold and the supertrend is above the closing price, while the sell signals are generated when the oscillator crosses below a threshold.
'histogram': Represents the histogram value derived from the strategy's calculations.
'supertrend': Indicates the supertrend value calculated based on the strategy's parameters.
populate_indicators: This method populates the indicator values in the provided dataframe. It calculates the 'osc', 'signal', 'histogram', and 'supertrend' columns using the LUX_SuperTrendOscillator function with specific parameters. The updated dataframe with populated indicators is returned. populate_buy_trend: This method generates buy signals based on specific conditions. It updates the 'buy' column in the dataframe with a value of 1 for rows that meet the following conditions: 'osc' crosses above a specified value (cross_buy). 'supertrend' is greater than the 'close' price. 'volume' is greater than 0. The updated dataframe with buy signals is returned. populate_sell_trend: This method generates sell signals based on a specific condition. It updates the 'sell' column in the dataframe with a value of 1 for rows that meet the following condition: 'osc' crosses below a specified value (cross_sell). 'volume' is greater than 0. The updated dataframe with sell signals is returned. In summary, the LuxOSC strategy uses indicators such as the oscillator, supertrend, and signal to generate buy and sell signals. The buy signals are generated when the oscillator crosses above a threshold and the supertrend is above the closing price, while the sell signals are generated when the oscillator crosses below a threshold.
stoploss: -0.99 timeframe: 5m hash(sha256): 4eb4f180d5a086b67fea053de007f8b462a0a6d3dc46f4f76d891a88869851b6
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last change: 2023-04-03 02:25:10