You will be redirected to the original Strategy in 15 seconds.
The STRATEGY_003_RSI_MFI_FISHERRSI strategy is designed to backtest trading decisions based on various technical indicators. The strategy consists of three main functions: populate_indicators, populate_buy_trend, and populate_sell_trend. In the populate_indicators function, several technical indicators are calculated and added to the input DataFrame.
These indicators include: Money Flow Index (MFI) Stochastic Fast %D and %K Relative Strength Index (RSI) Fisher Transform of RSI (Fisher RSI) Bollinger Bands lower band Exponential Moving Averages (EMA) with different time periods Parabolic Stop and Reverse (SAR) Simple Moving Average (SMA) The populate_buy_trend function determines the buy signals based on specific conditions using the calculated indicators.
The buy conditions include: RSI below 28 and above 0 Close price below SMA Fisher RSI below -0.94 MFI below 16.0 EMA50 greater than EMA100 or EMA5 crossing above EMA10 Stochastic Fast %D greater than %K and above 0 The populate_sell_trend function identifies the sell signals based on certain conditions using the indicators.
The sell conditions include: SAR above the close price Fisher RSI above 0.3 By applying these indicators and buy/sell conditions, the strategy aims to generate backtesting results to evaluate the performance of trading decisions.
These indicators include: Money Flow Index (MFI) Stochastic Fast %D and %K Relative Strength Index (RSI) Fisher Transform of RSI (Fisher RSI) Bollinger Bands lower band Exponential Moving Averages (EMA) with different time periods Parabolic Stop and Reverse (SAR) Simple Moving Average (SMA) The populate_buy_trend function determines the buy signals based on specific conditions using the calculated indicators.
The buy conditions include: RSI below 28 and above 0 Close price below SMA Fisher RSI below -0.94 MFI below 16.0 EMA50 greater than EMA100 or EMA5 crossing above EMA10 Stochastic Fast %D greater than %K and above 0 The populate_sell_trend function identifies the sell signals based on certain conditions using the indicators.
The sell conditions include: SAR above the close price Fisher RSI above 0.3 By applying these indicators and buy/sell conditions, the strategy aims to generate backtesting results to evaluate the performance of trading decisions.
stoploss: -0.1 timeframe: 5m hash(sha256): ea2ba86bd6e3ffc709f3340c373cb28d7ed48037e755020138c5b9f870e14b7f indicators: lower fisher_rsi ema100 close rsi mfi bb_lowerband ema5 ema50 fastd ema10 fastk sar sma
Similar Strategies: (based on used indicators)
Strategy: BTCBigDrop, Similarity Score: 93.33%
Strategy: BTCBigDrop_2, Similarity Score: 93.33%
Strategy: BTCJump, Similarity Score: 93.33%
Strategy: BTCNDrop, Similarity Score: 93.33%
Strategy: BTCNDrop_2, Similarity Score: 93.33%
Strategy: BTCNSeq, Similarity Score: 93.33%
Strategy: BTCNSeq_2, Similarity Score: 93.33%
Strategy: BigDrop, Similarity Score: 93.33%
Strategy: BigDrop_2, Similarity Score: 93.33%
Strategy: BollingerBounce, Similarity Score: 93.33%
Strategy: BollingerBounce_2, Similarity Score: 93.33%
Strategy: BuyDips, Similarity Score: 93.33%
Strategy: BuyDips_2, Similarity Score: 93.33%
Strategy: ComboHold, Similarity Score: 93.33%
Strategy: DCBBBounce, Similarity Score: 93.33%
Strategy: Discord_strat3, Similarity Score: 93.33%
Strategy: DonchianBounce, Similarity Score: 93.33%
Strategy: DonchianBounce_2, Similarity Score: 93.33%
Strategy: DonchianChannel, Similarity Score: 93.33%
Strategy: DonchianChannel_2, Similarity Score: 93.33%
Strategy: KeltnerBounce, Similarity Score: 93.33%
Strategy: KeltnerBounce_2, Similarity Score: 93.33%
Strategy: KeltnerChannels, Similarity Score: 93.33%
Strategy: KeltnerChannels_2, Similarity Score: 93.33%
Strategy: MACD003_2, Similarity Score: 93.33%
Strategy: MACD003_4, Similarity Score: 93.33%
Strategy: MFI2, Similarity Score: 93.33%
Strategy: MFI2_2, Similarity Score: 93.33%
Strategy: NDrop, Similarity Score: 93.33%
Strategy: NDrop_2, Similarity Score: 93.33%
Strategy: NSeq, Similarity Score: 93.33%
Strategy: NSeq_2, Similarity Score: 93.33%
Strategy: Patterns, Similarity Score: 93.33%
Strategy: SimpleBollinger, Similarity Score: 93.33%
Strategy: SimpleBollinger_2, Similarity Score: 93.33%
Strategy: Strategy003, Similarity Score: 93.33%
Strategy: Strategy003_13, Similarity Score: 93.33%
Strategy: Strategy003_2, Similarity Score: 93.33%
Strategy: Strategy003_7, Similarity Score: 93.33%
Strategy: Strategy003_74, Similarity Score: 93.33%
Strategy: Strategy003_8, Similarity Score: 93.33%
Strategy: Strategy003_869, Similarity Score: 93.33%
Strategy: strategy003_3, Similarity Score: 93.33%
Strategy: strategy003_4, Similarity Score: 93.33%
last change: 2022-07-02 19:54:08