OilBrend
cBot
已在 Pepperstone 上测试
版本 1.0, Mar 2026
Windows 版、Mac 版, Mobile, Web
4.5
评价:2
2.34
盈利系数
11.32%
最大回撤
注册日期 02/03/2026
说明
策略描述
该策略是一种日内算法方法,专注于布伦特原油市场,使用基于规则的框架,围绕价格行为、成交量分析和流动性区域(如控制点(POC))构建。
其目标是识别与重要成交量区域市场参与相关的潜在延续机会,同时保持结构化的风险控制。该策略不寻求预测市场,而是在预定义条件符合时做出反应。
方法论
系统监控市场以:
- 检测由成交量增加支持的动量驱动价格变动。
- 验证更广泛的市场背景,以使交易与当前的方向性条件保持一致。
- 观察向控制点(POC)的回调,将其视为潜在关注区域。
- 通过价格行为确认该水平在入场前受到尊重。
- 仅在满足所有策略条件后执行市场操作。
风险管理
风险通过预定义规则进行管理,包括:
- 固定结构性止损设置。
- 动态交易管理机制,旨在条件允许时保护未实现收益。
- 基于策略定义信号和不断变化的价格行为进行部分或全部退出。
策略特征
- 专注于成交量支持的市场结构。
- 基于规则的过滤,旨在减少低信心的设置。
- 以确认驱动的入场,而非预期执行。
- 设计用于管理风险敞口的主动风险控制。
重要风险披露
交易杠杆产品涉及重大风险,包括亏损风险。该策略不保证盈利或避免亏损。市场状况可能变化,策略表现可能随时间波动。过去的表现并不可靠地预示未来结果。
摘要
AI 摘要
OilBrend is an intraday algorithmic trading strategy focused on the Brent crude oil market. It operates using a rules-based framework centered on price action, volume analysis, and liquidity zones such as the Point of Control (POC). The strategy aims to identify continuation opportunities by monitoring momentum-driven price movements supported by increased volume and validating trades within the broader market context.
Key features include detection of pullbacks toward the POC, confirmation of price behavior before entry, and execution only when all predefined conditions are met. Risk management is integral, employing fixed stop loss placements, dynamic trade management to protect unrealized gains, and partial or full exits based on evolving price signals.
The strategy emphasizes volume-supported market structures and rule-based filtering to reduce low-conviction setups, relying on confirmation-driven entries rather than anticipatory trades. It is designed for swing trading with medium trade frequency, using market orders on a 5-minute chart resolution. Backtesting covers the period from April 2020 to March 2026 with leverage of 1:100. The recommended minimum balance is $500, with risk per trade set at 2%. The strategy targets a profit factor of 2.34 and an estimated return on investment of 160%. It supports technical analysis and is compatible with the Pepperstone broker.
Key features include detection of pullbacks toward the POC, confirmation of price behavior before entry, and execution only when all predefined conditions are met. Risk management is integral, employing fixed stop loss placements, dynamic trade management to protect unrealized gains, and partial or full exits based on evolving price signals.
The strategy emphasizes volume-supported market structures and rule-based filtering to reduce low-conviction setups, relying on confirmation-driven entries rather than anticipatory trades. It is designed for swing trading with medium trade frequency, using market orders on a 5-minute chart resolution. Backtesting covers the period from April 2020 to March 2026 with leverage of 1:100. The recommended minimum balance is $500, with risk per trade set at 2%. The strategy targets a profit factor of 2.34 and an estimated return on investment of 160%. It supports technical analysis and is compatible with the Pepperstone broker.
交易概览
交易风格
波段交易
策略类型
趋势
分析类型
技术
交易频率
中
最低建议余额
$500
每笔交易风险
2%
图表时间周期
5 分钟
回测杠杆
1:100
风险管理
风险模型
基于净值
支持的订单类型
市价单
支持的风险控制
止损
新闻过滤器
客户评价
4.5
评价:2
5 | 50 % | |
4 | 50 % | |
3 | 0 % | |
2 | 0 % | |
1 | 0 % |
客户评价
April 10, 2026
This feels useful when the setup already has a plan. The main value is running a defined strategy, not chasing every signal that appears. The useful comparison is hit rate versus average R.
April 6, 2026
a decent setup here should survive 30 demo trades without looking messy. A few sessions of data make the result easier to trust.
讨论
常见问答
Commodities
Fair Value Gap
RSI
AI
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价格
注册日期 02/03/2026
