OPEN-SOURCE SCRIPT
TTv Strategy v0.2
TTv Strategy v0.2 is a TensorTrader-compatible strategy adaptation based on the open-source Machine Learning: Lorentzian Classification indicator by jdehorty, originally published for Pine Script v5 and using jdehorty’s MLExtensions/2 and KernelFunctions/2 libraries.
The strategy adapts Lorentzian Classification-style long/short signal logic into TradingView strategy order events that can be backtested or routed through TensorTrader webhook automation. It supports fixed USD sizing, leverage-aware backtests, session/date filters, and optional TensorTrader-managed dynamic stop-loss / take-profit handling.
This script is intended for research, automation testing, and strategy development. Credit to jdehorty for the original open-source Lorentzian Classification work. This is not financial advice; users should test thoroughly and configure risk settings responsibly before using live alerts.
The strategy adapts Lorentzian Classification-style long/short signal logic into TradingView strategy order events that can be backtested or routed through TensorTrader webhook automation. It supports fixed USD sizing, leverage-aware backtests, session/date filters, and optional TensorTrader-managed dynamic stop-loss / take-profit handling.
This script is intended for research, automation testing, and strategy development. Credit to jdehorty for the original open-source Lorentzian Classification work. This is not financial advice; users should test thoroughly and configure risk settings responsibly before using live alerts.
开源脚本
秉承TradingView的精神，该脚本的作者将其开源，以便交易者可以查看和验证其功能。向作者致敬！您可以免费使用该脚本，但请记住，重新发布代码须遵守我们的网站规则。
免责声明
这些信息和出版物并非旨在提供，也不构成TradingView提供或认可的任何形式的财务、投资、交易或其他类型的建议或推荐。请阅读使用条款了解更多信息。
开源脚本
秉承TradingView的精神，该脚本的作者将其开源，以便交易者可以查看和验证其功能。向作者致敬！您可以免费使用该脚本，但请记住，重新发布代码须遵守我们的网站规则。
免责声明
这些信息和出版物并非旨在提供，也不构成TradingView提供或认可的任何形式的财务、投资、交易或其他类型的建议或推荐。请阅读使用条款了解更多信息。