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Strategy: strategy003_4
Downloaded: 20230426
Stoploss: -0.3
5mFailedSpotv2Link

Strategy failed backtesting!
Reason: Duplicate of Strategy003_3

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The strategy003 is a trading strategy implemented in Python for backtesting purposes. It uses various technical indicators to generate buy and sell signals for a given financial instrument. Here is a short description of what the strategy does: Indicators: MFI (Money Flow Index): Calculates the MFI indicator for the given data.

Stoch fast: Calculates the fast stochastic oscillator values.

RSI (Relative Strength Index): Calculates the RSI indicator for the given data.

Fisher RSI: Applies the inverse Fisher transform on the RSI values. Bollinger Bands: Calculates the upper and lower bands of the Bollinger Bands indicator. EMA (Exponential Moving Average): Calculates various EMA values for different time periods. SAR Parabol: Calculates the SAR (Stop and Reverse) indicator. SMA (Simple Moving Average): Calculates the SMA indicator for a specific time period. Buy Signal: The strategy generates a buy signal when the following conditions are met: RSI is less than 28 and greater than 0. Close price is below the SMA. Fisher RSI is less than -0.94. MFI is less than 16.0. Either the EMA50 is greater than EMA100 or the EMA5 has crossed above EMA10. Fastd (from Stoch fast) is greater than fastk. Fastd is greater than 0. Sell Signal: The strategy generates a sell signal when the following conditions are met: SAR is greater than the close price. Fisher RSI is greater than 0.3. The strategy aims to achieve a minimal ROI (Return on Investment) defined by the minimal_roi attribute and uses a stoploss value of -0.3. The ticker interval for the strategy is set to 5 minutes.

stoploss: -0.3
timeframe: 5m
hash(sha256): 8976784e2fbe4428bc8fe6681ab87e93574184f7a41d4155ec7fba87527b7a5e
indicators:
lower fisher_rsi ema100 close rsi
mfi bb_lowerband ema5 ema50 fastd
ema10 fastk sar sma

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last change: 2024-01-28 08:38:43