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The "JustROCR3" strategy is a trading strategy implemented in Python using the freqtrade library. Here is a short description of what the strategy does:
The strategy is designed to backtest trading decisions based on the Rate of Change Ratio (ROCR) indicator. The populate_indicators function calculates the ROCR indicator for the given dataframe using a period of 499.
The populate_buy_trend function sets the 'buy' column of the dataframe to 1 if the ROCR value is greater than 1.10.
The populate_sell_trend function does not contain any specific conditions for selling, as indicated by the empty parentheses.
In summary, this strategy generates buy signals when the ROCR value exceeds 1.10 and does not provide explicit sell signals based on the given code.
The populate_buy_trend function sets the 'buy' column of the dataframe to 1 if the ROCR value is greater than 1.10.
The populate_sell_trend function does not contain any specific conditions for selling, as indicated by the empty parentheses.
In summary, this strategy generates buy signals when the ROCR value exceeds 1.10 and does not provide explicit sell signals based on the given code.
startup_candle_count : 50 Recursive Analysis found no issues while using 50 startup_candle_count
stoploss: -0.01 timeframe: 5m hash(sha256): fb482eb1d59f3e79f0d2adddb16ed6394f2230232c02ecc70e9ff0c283b207d6 indicators: rocr
No similar strategies found. (based on used indicators)
last change: 2023-06-27 22:38:41