You will be redirected to the original Strategy in 15 seconds.
The CustomStrategy is a trading strategy designed for backtesting on a trading platform. It uses various technical indicators to generate buy and sell signals for trading. Here's a breakdown of what the strategy does:
Indicators:
Stochastic Oscillator (STOCH): Calculates the slow %K indicator and adds it to the DataFrame.
Relative Strength Index (RSI): Calculates the RSI indicator and adds it to the DataFrame.
Fisher Transform on RSI: Applies the Inverse Fisher Transform on the RSI values to normalize them between -1 and 1 and adds it to the DataFrame.
Bollinger Bands: Calculates the upper and lower Bollinger Bands using the typical price and adds the lower band to the DataFrame. Parabolic SAR: Calculates the SAR Parabolic indicator and adds it to the DataFrame. Hammer Candlestick Pattern: Identifies the presence of a Hammer candlestick pattern and adds it to the DataFrame. Buy Signal: The strategy generates a buy signal when the following conditions are met: RSI is below 30. Slow %K of Stochastic Oscillator is below 20. The price is below the lower Bollinger Band. A Hammer candlestick pattern is present. Sell Signal: The strategy generates a sell signal when the following conditions are met: The SAR Parabolic value is above the current price. The Fisher Transform on RSI is above 0.3. The strategy provides default values for the minimal ROI (Return on Investment) and stop loss, but these values can be overridden in the configuration file. The ticker interval is set to 5 minutes, indicating the frequency at which the strategy is applied. Overall, the CustomStrategy uses a combination of indicators and specific conditions to determine when to buy and sell in the backtesting environment.
Relative Strength Index (RSI): Calculates the RSI indicator and adds it to the DataFrame.
Fisher Transform on RSI: Applies the Inverse Fisher Transform on the RSI values to normalize them between -1 and 1 and adds it to the DataFrame.
Bollinger Bands: Calculates the upper and lower Bollinger Bands using the typical price and adds the lower band to the DataFrame. Parabolic SAR: Calculates the SAR Parabolic indicator and adds it to the DataFrame. Hammer Candlestick Pattern: Identifies the presence of a Hammer candlestick pattern and adds it to the DataFrame. Buy Signal: The strategy generates a buy signal when the following conditions are met: RSI is below 30. Slow %K of Stochastic Oscillator is below 20. The price is below the lower Bollinger Band. A Hammer candlestick pattern is present. Sell Signal: The strategy generates a sell signal when the following conditions are met: The SAR Parabolic value is above the current price. The Fisher Transform on RSI is above 0.3. The strategy provides default values for the minimal ROI (Return on Investment) and stop loss, but these values can be overridden in the configuration file. The ticker interval is set to 5 minutes, indicating the frequency at which the strategy is applied. Overall, the CustomStrategy uses a combination of indicators and specific conditions to determine when to buy and sell in the backtesting environment.
stoploss: -0.1 timeframe: 5m hash(sha256): d8778c7a987a99cff7a39445399ebbed77c67b044eddf19b17573dca7947ad44 indicators: slowk lower fisher_rsi close rsi bb_lowerband CDLHAMMER sar
No similar strategies found. (based on used indicators)
last change: 2023-09-15 21:09:41