PROTECTED SOURCE SCRIPT
A Quantitative Strategy That Breaks the Mold – High Accuracy on

As a quantitative researcher, I’ve built a trading strategy free from “look‑ahead bias” or indicator repainting. Back‑tests show about a 70 % win rate on BTC and ETH pairs, around 80 % on the 4‑hour timeframe and nearly 100 % on the daily. When applied to major Chinese A‑share indices, it maintains a 70–80 % win rate. These results come from rigorous testing across different markets and timeframes.
Years ago, I was as confused about markets as many newcomers are today. To help others avoid the same frustration, I’m now sharing this system and the thinking behind it. Our community doesn’t just provide signals; we teach risk management, position sizing and emotional discipline. If you’re ready to trade with structure rather than guesswork, join us and let’s succeed together.
Years ago, I was as confused about markets as many newcomers are today. To help others avoid the same frustration, I’m now sharing this system and the thinking behind it. Our community doesn’t just provide signals; we teach risk management, position sizing and emotional discipline. If you’re ready to trade with structure rather than guesswork, join us and let’s succeed together.
受保护脚本
此脚本以闭源形式发布。 但是,您可以自由使用它,没有任何限制 — 在此处了解更多信息。
免责声明
这些信息和出版物并不意味着也不构成TradingView提供或认可的金融、投资、交易或其它类型的建议或背书。请在使用条款阅读更多信息。
受保护脚本
此脚本以闭源形式发布。 但是,您可以自由使用它,没有任何限制 — 在此处了解更多信息。
免责声明
这些信息和出版物并不意味着也不构成TradingView提供或认可的金融、投资、交易或其它类型的建议或背书。请在使用条款阅读更多信息。