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The "roc" strategy is a default strategy provided by the Freqtrade bot. It is a trading strategy that aims to generate profits by identifying potential buying and selling opportunities based on a combination of technical indicators. Here's a breakdown of how the strategy works:
Minimal ROI: The strategy is designed to achieve a minimal return on investment (ROI) of 0.2.
Stoploss: The optimal stoploss for the strategy is set at -0.10, meaning that if a trade goes against the expected direction and reaches a 10% loss, it will be closed.
Ticker Interval: The strategy is optimized for trading on a 1-hour ticker interval.
Order Types: The strategy uses market orders for buying, selling, and stop-loss orders. It also specifies that stop-loss orders should not be placed on the exchange. Order Time in Force: The strategy uses the "Good Till Cancelled" (GTC) time in force for both buy and sell orders. Informative Pairs: This function defines additional pair/interval combinations that provide informative data but are not tradeable by the strategy. Populate Indicators: This function calculates several technical indicators, including the Rate of Change (ROC), Maximum (MAX), and Minimum (MIN), using a length of 20 periods. These indicators are added to the dataframe. Populate Buy Trend: This function generates buy signals based on the strategy's conditions. It identifies buying opportunities when the closing price is above the maximum value within the specified length and the rate of change is greater than 20. Populate Sell Trend: This function generates sell signals based on the strategy's conditions. It identifies selling opportunities when the closing price is below the minimum value within the specified length and the rate of change is less than 20. Overall, the strategy aims to capture potential price movements by monitoring the rate of change, along with the maximum and minimum values within a specific period. It generates buy signals when there is a bullish price momentum, and sell signals when there is a bearish price momentum, as indicated by the combination of technical indicators.
Stoploss: The optimal stoploss for the strategy is set at -0.10, meaning that if a trade goes against the expected direction and reaches a 10% loss, it will be closed.
Ticker Interval: The strategy is optimized for trading on a 1-hour ticker interval.
Order Types: The strategy uses market orders for buying, selling, and stop-loss orders. It also specifies that stop-loss orders should not be placed on the exchange. Order Time in Force: The strategy uses the "Good Till Cancelled" (GTC) time in force for both buy and sell orders. Informative Pairs: This function defines additional pair/interval combinations that provide informative data but are not tradeable by the strategy. Populate Indicators: This function calculates several technical indicators, including the Rate of Change (ROC), Maximum (MAX), and Minimum (MIN), using a length of 20 periods. These indicators are added to the dataframe. Populate Buy Trend: This function generates buy signals based on the strategy's conditions. It identifies buying opportunities when the closing price is above the maximum value within the specified length and the rate of change is greater than 20. Populate Sell Trend: This function generates sell signals based on the strategy's conditions. It identifies selling opportunities when the closing price is below the minimum value within the specified length and the rate of change is less than 20. Overall, the strategy aims to capture potential price movements by monitoring the rate of change, along with the maximum and minimum values within a specific period. It generates buy signals when there is a bullish price momentum, and sell signals when there is a bearish price momentum, as indicated by the combination of technical indicators.
stoploss: -0.1 timeframe: 1h hash(sha256): 0760a2f67181b5b6a12c72342f5a19f1b905144d74ba297d25cd09b054f9fe1b
Was not able to fetch indicators from Strategyfile.
last change: 2023-06-30 12:42:36