The BTCNDrop strategy is a trading strategy that utilizes various technical analysis indicators to generate buy and sell signals for Bitcoin (BTC) trading. Here is a brief description of what the strategy does:
populate_indicators: This function adds multiple technical analysis indicators to the input DataFrame. The indicators used include:
Money Flow Index (MFI)
Simple Moving Average (SMA)
Moving Average Convergence Divergence (MACD)
Stochastic Fast
Relative Strength Index (RSI)
Fisher Transform of RSI
Bollinger Bands (upper band, middle band, lower band, and gain)
Exponential Moving Averages (EMAs)
Stop and Reverse (SAR)
populate_entry_trend: This function determines the conditions for entering a trade (generating a buy signal) based on the populated indicators.
The conditions considered include: MFI value is less than or equal to a specified threshold Fisher RSI value is less than a specified threshold Close price is less than or equal to the lower Bollinger Band Additionally, if a specific number of previous candles is specified, the strategy checks if the close price of each of those candles is less than or equal to the corresponding open price.
Moreover, it calculates the drop percentage between the open price of the specified candle and the current close price, and if it exceeds a specified threshold, it generates a buy signal.
populate_exit_trend: This function populates the sell signal for the given DataFrame based on TA indicators. In this particular strategy, it sets the sell signal to 0 for all rows where the close price is greater than or equal to 0. Overall, the BTCNDrop strategy aims to generate buy signals based on various technical indicators and defines the conditions for entering and exiting trades.
The conditions considered include: MFI value is less than or equal to a specified threshold Fisher RSI value is less than a specified threshold Close price is less than or equal to the lower Bollinger Band Additionally, if a specific number of previous candles is specified, the strategy checks if the close price of each of those candles is less than or equal to the corresponding open price.
Moreover, it calculates the drop percentage between the open price of the specified candle and the current close price, and if it exceeds a specified threshold, it generates a buy signal.
populate_exit_trend: This function populates the sell signal for the given DataFrame based on TA indicators. In this particular strategy, it sets the sell signal to 0 for all rows where the close price is greater than or equal to 0. Overall, the BTCNDrop strategy aims to generate buy signals based on various technical indicators and defines the conditions for entering and exiting trades.
stoploss: 0 timeframe: 5m hash(sha256): 19f32f43f62dd0269a337cabdb707a012bc36be6b4d0c9dc4ea51631baf7a359 indicators: upper close open_5m bb_gain mfi bb_lowerband ema5 fastk sma fastd ema10 sar macdsignal mid fisher_rsi ema100 macd lower bb_middleband rsi bb_upperband ema50 close_5m
Similar Strategies: (based on used indicators)
Strategy: BTCBigDrop, Similarity Score: 95.83%
Strategy: BTCBigDrop_2, Similarity Score: 95.83%
Strategy: BTCJump, Similarity Score: 95.83%
Strategy: BTCNDrop, Similarity Score: 95.83%
Strategy: BTCNSeq, Similarity Score: 95.83%
Strategy: BTCNSeq_2, Similarity Score: 95.83%
Strategy: ComboHold, Similarity Score: 95.83%
last change: 2024-04-28 15:26:28