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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.
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受保護腳本
此腳本以閉源形式發佈。 不過,您可以自由且不受任何限制地使用它 — 在此處了解更多資訊。
免責聲明
這些資訊和出版物並不意味著也不構成TradingView提供或認可的金融、投資、交易或其他類型的意見或建議。請在使用條款閱讀更多資訊。