The BinHModWhiteHOV0 strategy is a trading strategy that uses various indicators to generate buy and sell signals. Here is a brief explanation of what the strategy does:
In the populate_indicators method, the strategy calculates and adds several indicators to the input dataframe, including:
'bottom' and 'top': the minimum and maximum values of the 'open' and 'close' prices. Bollinger Bands: calculates the lower, middle, and upper bands using a 40-day window and 2 standard deviations.
'bbwidth': the width of the Bollinger Bands as a percentage of the middle band.
'space': the rolling mean of 'bbwidth' over a 60-day period.
'bbdelta': the absolute difference between the middle band and the lower band of the Bollinger Bands. 'bottomdelta': the absolute difference between the current 'bottom' value and the previous 'bottom' value. 'topdelta': the absolute difference between the current 'top' value and the previous 'top' value. 'tail': the absolute difference between the current 'bottom' value and the 'low' price. In the populate_buy_trend method, the strategy generates buy signals based on the following conditions:
If the shorter-term exponential moving average ('ema_trend') is greater than the longer-term exponential moving average ('ema_slow'). If the longer-term exponential moving average ('ema_slow') is increasing over a specified number of periods ('ema_rise'). If the EWO (Elliott Wave Oscillator) indicator is above a certain threshold ('ewo_high'). If additional conditions related to Bollinger Bands, 'bottom', 'bbdelta', 'tail', 'bottomdelta', 'topdelta', and 'volume' are met. In the populate_sell_trend method, the strategy generates sell signals based on the condition that the closing price is above a certain offset ('high_offset') multiplied by the middle band value, and the 'volume' is positive. Overall, the strategy combines multiple technical indicators and conditions to identify potential buying and selling opportunities in the market.