Crude Oil Reversal
cBot
Version 1.0, May 2025
Windows, Mac, Mobile, Web
4.5
Reviews: 4
Since 11/03/2025
Description
It's an algorithm based on detecting the shift in momentum that operates when crude oil is oversold. It is designed to work only with a 4h timeframe but you can try to change it by adapting the parameters. Be careful with the position size, it depends of your broker.
Statistics
- Period tested: 01/01/2021 to 28/05/2025
- Profit: 71%
- Profit factor: 2.1
- Win rate: 50%
- Max draw down: 4.89%
The parameters
- RSI period: the rsi period used to detect the shifting dynamics
- ATR period: atr period, the ATR is used to set take profit and stop losses
- Lookback bars: number of periods we look back to detect the shifting momentum
- Local Minimum Ray: the zone in term of bars we check a certain bar is a local minimum
- SL ATR coeff: we set the SL as this coefficient multiplied by the atr, by default 3
- TP ATR coeff: we set the TP as this coefficient multiplied by the atr, by default 6
Summary
AI summary
Crude Oil Reversal is a trading algorithm designed to identify momentum shifts when crude oil is oversold, primarily operating on a 4-hour timeframe. It detects changes in momentum using the Relative Strength Index (RSI) and employs the Average True Range (ATR) to set take profit and stop loss levels. Key adjustable parameters include RSI period, ATR period, lookback bars for momentum detection, local minimum ray for identifying local lows, and ATR coefficients for stop loss and take profit calculation.
Backtested from January 2021 to May 2025, the algorithm achieved a 71% profit with a profit factor of 2.1, a 50% win rate, and a maximum drawdown of 4.89%. Users should consider broker-specific position sizing when deploying the algorithm. The strategy focuses on commodities, specifically crude oil, and leverages momentum and volatility indicators to manage trades.
Backtested from January 2021 to May 2025, the algorithm achieved a 71% profit with a profit factor of 2.1, a 50% win rate, and a maximum drawdown of 4.89%. Users should consider broker-specific position sizing when deploying the algorithm. The strategy focuses on commodities, specifically crude oil, and leverages momentum and volatility indicators to manage trades.
Trading profile
Customer reviews
4.5
Reviews: 4
5 | 50 % | |
4 | 50 % | |
3 | 0 % | |
2 | 0 % | |
1 | 0 % |
Customer reviews
June 13, 2025
No reason to judge this from 1 good trade. A better check is 30 demo trades, 0.5 percent risk and 3 percent DD before using real size. Early sizing should stay modest until the journal looks stable.
June 13, 2025
Useful tool, but not for lazy entries. It supports running a defined strategy and is easier to judge after the trader stays selective. Better rechecked it on 1 month.
June 11, 2025
The product needs a plain forward sample. For algo trading, 69 setups on daily close should make the strengths and weak spots obvious.
June 3, 2025
ngl, this one makes sense if you are not trying to yolo every signal. This fits with it on demo first and see how it behaves when mixed trend and range conditions gets messy. The useful comparison is hit rate versus average R.
Discussion
FAQ
Commodities
RSI
ATR
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Price
Since 11/03/2025