The strategy002 is a trading strategy implemented in Python for backtesting purposes. It utilizes various technical indicators to generate buy and sell signals for trading. Here's a breakdown of the strategy:
Indicators:
Stoch: Calculates the Stochastic Oscillator.
RSI: Calculates the Relative Strength Index.
Fisher RSI: Applies the Inverse Fisher transform on the RSI values.
Bollinger Bands: Calculates the Bollinger Bands using the typical price. SAR Parabol: Calculates the Parabolic SAR. Hammer: Identifies hammer candlestick patterns. Buy Signal: The strategy generates a buy signal when the following conditions are met: RSI is below 30. Stochastic oscillator (slowk) is below 20. Bollinger Bands lower band is greater than the closing price. Hammer candlestick pattern is present. Sell Signal: The strategy generates a sell signal when the following conditions are met: Parabolic SAR is above the closing price. Fisher RSI is above 0.3. The strategy defines a minimal ROI (Return on Investment) and stoploss. It is designed to operate on 5-minute ticker intervals. To use the strategy, you can run it with Freqtrade by executing the command: python3 ./freqtrade/main.py -s Strategy002 Please note that this is a brief summary of the strategy, and there may be additional details and considerations not covered here.
RSI: Calculates the Relative Strength Index.
Fisher RSI: Applies the Inverse Fisher transform on the RSI values.
Bollinger Bands: Calculates the Bollinger Bands using the typical price. SAR Parabol: Calculates the Parabolic SAR. Hammer: Identifies hammer candlestick patterns. Buy Signal: The strategy generates a buy signal when the following conditions are met: RSI is below 30. Stochastic oscillator (slowk) is below 20. Bollinger Bands lower band is greater than the closing price. Hammer candlestick pattern is present. Sell Signal: The strategy generates a sell signal when the following conditions are met: Parabolic SAR is above the closing price. Fisher RSI is above 0.3. The strategy defines a minimal ROI (Return on Investment) and stoploss. It is designed to operate on 5-minute ticker intervals. To use the strategy, you can run it with Freqtrade by executing the command: python3 ./freqtrade/main.py -s Strategy002 Please note that this is a brief summary of the strategy, and there may be additional details and considerations not covered here.
Unable to parse Traceback (Logfile Exceeded Limit)
stoploss: -0.3 timeframe: 5m hash(sha256): fee9817e07e10917f1814711688d2ef1c5a8f271d6e5c48b484100c033173f8e indicators: slowk lower fisher_rsi close rsi bb_lowerband CDLHAMMER sar
No similar strategies found. (based on used indicators)
last change: 2024-07-28 03:14:39