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Trading product for Regime Sentinel cBot Consistent Returns Position Sizer, image 1
Regime Sentinel
cBot
已在 IC 上测试
版本 1.0, Aug 2026
Windows 版、Mac 版, Mobile, Web
1.81
盈利系数
11.7%
最大回撤
Trading product for Regime Sentinel cBot Consistent Returns Position Sizer, image 2
Trading product for Regime Sentinel cBot Consistent Returns Position Sizer, image 3
Trading product for Regime Sentinel cBot Consistent Returns Position Sizer, image 4
Trading product for Regime Sentinel cBot Consistent Returns Position Sizer, image 5
Trading product for Regime Sentinel cBot Consistent Returns Position Sizer, image 6
Trading product for Regime Sentinel cBot Consistent Returns Position Sizer, image 7
Trading product for Regime Sentinel cBot Consistent Returns Position Sizer, image 8
Trading product for Regime Sentinel cBot Consistent Returns Position Sizer, image 9
Trading product for Regime Sentinel cBot Consistent Returns Position Sizer, image 10
Trading product for Regime Sentinel cBot Consistent Returns Position Sizer, image 11
注册日期 25/09/2024
161.03M
交易量
2.88M
盈利点数

说明

Regime Sentinel — Volatility-Adaptive Execution Engine

Most cBots apply one fixed rule set to every market condition. Regime Sentinel doesn't — it continuously reads the prevailing volatility regime and adjusts how it engages depending on whether the market is calm or active, rather than trading a quiet range the same way it trades a breakout.

How it trades
Risk is managed on every position with an ATR-based stop loss and trailing stop, a maximum daily loss limit, and an account-level equity-drawdown safeguard that can pause new entries if drawdown exceeds a set threshold from the recent equity peak. Every protection is configurable to your own risk tolerance.

Built on rigorous back testing
Every result below was generated using accurate tick data, not bars synthesized from OHLC — so spread, commission, and swap are all reflected in the numbers, not just price action.

The tests also span long, uninterrupted windows — nine years for BTCUSD, six-plus for XAUUSD. That's multiple full market cycles: trending years, ranging years, high- and low-volatility years. A strategy doesn't need a lucky quarter to look good if it's been run over a window that long.

Performance snapshot

BTCUSD (H2) — 2% risk per trade

  • Back test period: ~9 years (Aug 2017 – Aug 2026)
  • Result: +6,296% ($2,000 → $127,919.88) — ~59% annualised
  • Profit factor 1.42 · Max equity drawdown 20.0%
  • 1,080 trades · ~34% win rate

XAUUSD (H1) — 3.5% risk per trade

  • Back test period: 6+ years (Jan 2020 – Aug 2026)
  • Result: +647% ($2,000 → $14,948.79) — ~36% annualised
  • Profit factor 1.77 · Max equity drawdown 16.0%
  • 625 trades · ~50% win rate

Minimum-lot verification (flat minimum volume, no risk-based scaling)

  • BTCUSD: +97% · max equity drawdown 7.0% · profit factor 1.37
  • XAUUSD: +323% · max equity drawdown 11.7% · profit factor 1.81

These minimum-lot runs are included deliberately: they show the strategy is profitable in its own right, on the same signals, at flat position size — the headline numbers above aren't just an artifact of risk-based compounding.

Markets traded
Live and back tested on XAUUSD (Gold), BTCUSD (Bitcoin), and DE40 (Germany 40) — built as a multi-asset engine from the ground up, not a single-pair script relabelled for other symbols.

The cBot ships with its standard parameter set tuned for BTCUSD on the H2 (2-hour) chart. A dedicated XAUUSD (H1) parameter set is provided separately, so you're not left to retune it yourself.

Please note: Back tested and live results are historical and don't guarantee future performance. Always test on a demo account and understand the risk settings before running any automated strategy on a live account.

摘要

交易概览
交易风格
头寸交易
策略类型
突破
分析类型
算法
交易频率
最低建议余额
$1000
每笔交易风险
2%
图表时间周期
1 跳动点
回测杠杆
1:500
每日回撤限额
2%
自营公司规则契合度
风险管理
风险模型
固定风险百分比
支持的风险控制
止损
追踪止损
盈亏平衡
净值强平
每日限额
最大回撤限额

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讨论

常见问答

Consistent Returns
Position Sizer
SL Manager
ATR
Break Even
CCI
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价格

注册日期 25/09/2024
161.03M
交易量
2.88M
盈利点数