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Strategy: BigDrop_2
Downloaded: 20230103
Stoploss: 0
The BigDrop strategy is a backtesting strategy that uses various technical analysis (TA) indicators to generate buy and sell signals for trading. Here is a brief explanation of what the strategy does: populate_indicators: This function adds several TA indicators to the given DataFrame. The indicators used in this strategy include: MFI (Money Flow Index) SMA (Simple Moving Average) MACD (Moving Average Convergence Divergence) Stochastic Fast RSI (Relative Strength Index) Fisher RSI Bollinger Bands EMA (Exponential Moving Average) SAR (Stop and Reverse) populate_entry_trend: This function populates the buy signals based on certain conditions.

The conditions used in this strategy include: MFI value being less than or equal to a specified threshold (buy_mfi) Fisher RSI value being less than a specified threshold (buy_fisher) Close price being less than or equal to the lower Bollinger Band (bb_lowerband) The percentage drop from the previous candle's open price to the current candle's close price being greater than or equal to a specified threshold (buy_drop) populate_exit_trend: This function populates the sell signals based on a simple condition where the close price is greater than or equal to zero.

Overall, the BigDrop strategy aims to identify potential buying opportunities based on certain technical indicators and conditions, and it generates corresponding buy and sell signals for trading.


stoploss: 0
timeframe: 5m
hash(sha256): 0a188d2b21244148d93aac51f772b85865f7f02d11120738e19ef952f1defe27
indicators:
upper close bb_gain mfi bb_lowerband
ema5 fastk sma open fastd
ema10 sar macdsignal mid fisher_rsi
ema100 macd lower bb_middleband rsi
bb_upperband ema50

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last change: 2024-01-29 18:03:06