The "Patterns2" strategy is a backtesting strategy that incorporates various technical analysis (TA) indicators and candlestick patterns to generate buy and sell signals. Here's a breakdown of what the strategy does:
populate_indicators: This function adds several TA indicators to the given DataFrame. The indicators used in this strategy are:
MFI (Money Flow Index)
RSI (Relative Strength Index)
Bollinger Bands (upper and lower bands, with standard deviation of 2)
SMA (Simple Moving Average)
Various candlestick patterns (e.g., HAMMER, INVERTED HAMMER, DRAGONFLY DOJI, etc.)
populate_entry_trend: This function populates the buy signal based on the TA indicators and candlestick patterns.
It applies specific conditions for each indicator or pattern enabled in the strategy.
The conditions used in this strategy are: RSI value below a certain threshold Close price below the SMA MFI value below a certain threshold Bollinger Bands gain (difference between upper band and close price) above a certain threshold Candlestick patterns (e.g., 3 WHITE SOLDIERS, MORNING STAR, 3 LINE STRIKE, etc.) with strength above a certain threshold populate_exit_trend: This function populates the sell signal for the given DataFrame.
It doesn't use any TA indicators or conditions but sets the "sell" column to 0 for all non-null close prices. Overall, the strategy aims to identify potential buying opportunities based on the combination of TA indicators and candlestick patterns, while the exit points are determined separately without any specific conditions.
It applies specific conditions for each indicator or pattern enabled in the strategy.
The conditions used in this strategy are: RSI value below a certain threshold Close price below the SMA MFI value below a certain threshold Bollinger Bands gain (difference between upper band and close price) above a certain threshold Candlestick patterns (e.g., 3 WHITE SOLDIERS, MORNING STAR, 3 LINE STRIKE, etc.) with strength above a certain threshold populate_exit_trend: This function populates the sell signal for the given DataFrame.
It doesn't use any TA indicators or conditions but sets the "sell" column to 0 for all non-null close prices. Overall, the strategy aims to identify potential buying opportunities based on the combination of TA indicators and candlestick patterns, while the exit points are determined separately without any specific conditions.
stoploss: 0 timeframe: 5m hash(sha256): 5a94d00d903e660859ca73fba05b258341385c8b406fd97adcf584129f149df9 indicators: CDLDRAGONFLYDOJI CDLGRAVESTONEDOJI CDLHANGINGMAN CDLSHOOTINGSTAR close CDLSPINNINGTOP bb_lowerband mfi CDLENGULFING bb_gain CDL3WHITESOLDIERS CDLHAMMER sma CDLMORNINGSTAR CDLEVENINGDOJISTAR CDLEVENINGSTAR CDLPIERCING CDL3OUTSIDE CDL3INSIDE CDLINVERTEDHAMMER CDLHARAMI lower rsi CDL3LINESTRIKE bb_upperband CDLDARKCLOUDCOVER
Similar Strategies: (based on used indicators)
Strategy: Patterns2, Similarity Score: 96.3%
Strategy: Patterns, Similarity Score: 88.89%
last change: 2024-04-28 04:39:38