一个基于缠论(Chanlun)理论构建的自动化量化交易系统,结合历史数据训练、严格风控与实盘执行,致力于实现稳定且可持续的收益表现。
回测收益年化 80%+。欢迎订阅信号和实盘测试。
海哥缠论官网:https://haigechanlun.com/ — 缠论结构化视角、纪律与风控、量化落地(回测 · 实盘 · 监控),以及个人主页与社群入口。
- Telegram: http://t.me/haigechanlun
- 公众号:海哥缠论
- 推特:https://x.com/haigechanlun666
- 微信:roganwu32
- 注册新账号
- Gate: https://www.gatenode.xyz/share/VVNAULXZAG(邀请码:
VVNAULXZAG) - OKX: https://www.vmutkhamuut.com/join/5032833(邀请码:
5032833)
- Gate: https://www.gatenode.xyz/share/VVNAULXZAG(邀请码:
- 开通合约 API 读取与交易权限,并将 Key 提供给我们
- 将资金划转至合约账户
- 基于 近 2 年 K 线数据 进行结构化训练与验证
- 自动识别:中枢结构、笔 / 线段演化、一买 / 二买 / 三买与一卖 / 二卖 / 三卖
- 支持多周期联动(1H / 4H / 日线)
- 信号生成 → 下单执行 → 持仓管理全流程自动化
- 支持主流交易所 API 对接
- 可扩展策略模块(多策略并行)
- 仓位动态控制(Position Sizing)
- 单笔风险限制
- 最大回撤控制(Max Drawdown Protection)
- 高频异常波动过滤
- 动态止盈(趋势跟随)
- 自适应止损(基于结构 / 波动率)
- 支持固定比例、ATR 波动模型、缠论结构止损
- 回测周期:近 1 年历史数据
- 年化收益率:> 85%
- 夏普率(Sharpe)表现突出
- 支持多市场验证(加密货币 / 外汇)
⚠️ 历史回测不代表未来收益,市场具有不确定性。
- TD 迪马克序列、神奇九转
- TD 实战教程:微信文章
- 采用 Binance 数据源:代码实现
- 基于近 2 年 K 线训练缠论买卖点,得到实时决策模型(不开源;需要跑实盘可联系)
An automated quantitative trading system built on Chanlun (缠论) theory, combining historical data training, strict risk control, and live execution for stable, sustainable performance.
Backtests show 80%+ annualized returns. Signal subscription and live testing are welcome.
Haige ChanLun — https://haigechanlun.com/: structured Chanlun, risk discipline, full quant loop (backtest · live · monitoring), profile, and community links.
- Telegram: http://t.me/haigechanlun
- WeChat official account: 海哥缠论
- X (Twitter): https://x.com/haigechanlun666
- WeChat: roganwu32
- Create exchange accounts
- Gate: https://www.gatenode.xyz/share/VVNAULXZAG (invite:
VVNAULXZAG) - OKX: https://www.vmutkhamuut.com/join/5032833 (invite:
5032833)
- Gate: https://www.gatenode.xyz/share/VVNAULXZAG (invite:
- Enable futures API read + trade permissions and provide the keys to us
- Transfer funds to your futures account
- Structured training and validation on ~2 years of OHLCV data
- Detects: pivots (中枢), strokes/segments (笔/线段), first/second/third buy & sell points
- Multi-timeframe alignment (1H / 4H / daily)
- End-to-end: signal → orders → position management
- Major exchange APIs supported
- Extensible for multiple strategies in parallel
- Dynamic position sizing
- Per-trade risk limits
- Max drawdown protection
- Filters for abnormal volatility
- Trend-following take-profit
- Structure/volatility-aware stops
- Fixed ratio, ATR-based, and Chanlun-structure stops
- ~1 year of historical data
- Annualized return: > 85%
- Strong Sharpe characteristics
- Crypto / FX validation
⚠️ Past backtests are not a guarantee of future results.
- Tom DeMark (TD) / “magic nine” sequences
- TD tutorial (WeChat article): link
- Binance data source: implementation
- Real-time model trained on ~2 years of Chanlun buy/sell points (not open-sourced; contact us for live deployment)




