The "Hammer" strategy is a trading strategy that involves the use of various technical indicators to generate buy and sell signals. Here's a breakdown of what the strategy does:
In the populate_indicators method, the strategy adds several technical indicators to the input DataFrame. These indicators include:
MFI (Money Flow Index)
Stochastic Fast %D and %K
RSI (Relative Strength Index)
Fisher RSI
Bollinger Bands (upper and lower bands, as well as the percentage gain)
EMA (Exponential Moving Average) with periods of 5 and 10
SAR (Parabolic SAR)
SMA (Simple Moving Average) with a period of 40
Candlestick patterns: HAMMER, INVERTED HAMMER, HANGING MAN, and SHOOTING STAR
Various calculations related to candlestick properties (height, body, top, bottom, upper shadow, lower shadow, upper ratio, lower ratio)
The populate_entry_trend method populates the buy signal based on the indicators.
The conditions for generating a buy signal include:
Volume is greater than 0
If the buy_sma_enabled flag is true, the close price is lower than the SMA (Simple Moving Average)
If the buy_mfi_enabled flag is true, the MFI (Money Flow Index) is less than or equal to the specified threshold (buy_mfi)
If the buy_ema_enabled flag is true, the close price is less than or equal to the EMA (Exponential Moving Average) with a period of 10
If the buy_bb_enabled flag is true, the Bollinger Bands gain is greater than or equal to the specified threshold (buy_bb_gain)
The candlestick body height is greater than 0.01
Either the upper ratio or lower ratio is greater than 2
The populate_exit_trend method populates the sell signal based on the indicators.
The conditions for generating a sell signal include:
If the sell_hold_enabled flag is true, no sell signal is generated (hold position)
Volume is greater than 0
The close price is greater than or equal to the EMA with a period of 10
The candlestick body height is greater than 0.01
The upper ratio is greater than 2
The strategy uses these conditions to determine the buy and sell signals in the given DataFrame, which can then be used for backtesting purposes.