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The S05 strategy implemented in this backtesting website enforces a fixed risk/reward ratio for trading. Here's a short description of how it works:
The strategy calculates a dynamic initial stop loss by subtracting the Average True Range (ATR) multiplied by 2 from the closing price. It then determines the initial risk by subtracting the initial stop loss from the opening rate of the trade.
This risk is multiplied by a user-defined risk/reward ratio.
Once the calculated risk reaches a certain level, the stop loss is set to the calculated value, and a sell signal is triggered.
Additionally, there is a break-even ratio. When the current profit reaches this ratio, the stop loss is adjusted to minimize losses by setting it to the buy rate plus fees. The strategy uses the SAR (Stop and Reverse) indicator as a placeholder for generating buy signals. It buys when the SAR value is smaller than the candle before. The strategy does not generate any sell signals and holds onto the bought positions indefinitely. This strategy aims to provide a systematic approach to trading with predefined risk/reward parameters and break-even points, allowing users to test its effectiveness using the backtesting website.
This risk is multiplied by a user-defined risk/reward ratio.
Once the calculated risk reaches a certain level, the stop loss is set to the calculated value, and a sell signal is triggered.
Additionally, there is a break-even ratio. When the current profit reaches this ratio, the stop loss is adjusted to minimize losses by setting it to the buy rate plus fees. The strategy uses the SAR (Stop and Reverse) indicator as a placeholder for generating buy signals. It buys when the SAR value is smaller than the candle before. The strategy does not generate any sell signals and holds onto the bought positions indefinitely. This strategy aims to provide a systematic approach to trading with predefined risk/reward parameters and break-even points, allowing users to test its effectiveness using the backtesting website.
stoploss: -0.9 timeframe: 5m hash(sha256): 815c8de62798be5812929247ca264c99ff6873700006fa27e5eee69a9d378973
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last change: 2022-07-02 19:54:08