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Trading product for Crude Oil Reversal cBot Commodities RSI, image 1
Crude Oil Reversal
cBot
版本 1.0, May 2025
Windows 版、Mac 版, Mobile, Web
评价:4
Trading product for Crude Oil Reversal cBot Commodities RSI, image 2
注册日期 11/03/2025

说明

这是一个基于检测原油超卖时动量变化的算法。 它设计为仅适用于4小时时间框架,但您可以尝试通过调整参数来更改它。请注意仓位大小,这取决于您的经纪商。

统计数据

  • 测试周期:2021年01月01日至2025年05月28日
  • 利润:71%
  • 利润因子:2.1
  • 胜率:50%
  • 最大回撤:4.89%

参数

  • RSI周期:用于检测动量变化的RSI周期
  • ATR周期:ATR周期,ATR用于设置止盈和止损
  • 回溯周期数:我们回溯检测动量变化的周期数
  • 局部最低射线:用于检查某根K线是否为局部最低的周期范围
  • 止损ATR系数:止损设置为该系数乘以ATR,默认值为3
  • 止盈ATR系数:止盈设置为该系数乘以ATR,默认值为6

摘要

AI 摘要
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.
交易概览

客户评价

4.5
评价:4
5
50 %
4
50 %
3
0 %
2
0 %
1
0 %
客户评价
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.

讨论

常见问答

Commodities
RSI
ATR
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价格

注册日期 11/03/2025