OPEN-SOURCE SCRIPT

Tesla Coil ML

已更新
This is a re-implementation of veryfid's wonderful Tesla Coil indicator to leverage basic Machine Learning Algorithms to help classify coil crossovers. The original Tesla Coil indicator requires extensive training and practice for the user to develop adequate intuition to interpret coil crossovers. The goal for this version is to help the user understand the underlying logic of the Tesla Coil indicator and provide a more intuitive way to interpret the indicator. The signals should be interpreted as suggestions rather than as a hard-coded set of rules.

NOTE: Please do NOT trade off the signals blindly. Always try to use your own intuition for understanding the coils and check for confluence with other indicators before initiating a trade.
版本注释
  • Enhancements for settings interface
  • Better default settings
版本注释
  • Removed unused setting
版本注释
  • Add Maximum Entropy Spectral Analysis (MESA) line for dominant cycle identification; can be used as added confluence to screen ML Signals
  • Remove unused confluence logic
版本注释
  • Use built-in constant for pi
版本注释
  • Simplify dominant cycle measurement
  • Add toggles for ML Signals and MESA Baseline
AIcyclecycleanalysisCyclesmachinelearningmesa

开源脚本

本着真正的TradingView精神,此脚本的作者已将其开源,以便交易者可以理解和验证它。向作者致敬!您可以免费使用它,但在出版物中重复使用此代码受网站规则约束。 您可以收藏它以在图表上使用。

想在图表上使用此脚本?


❤️ Patreon w/ Lorentzian 2.0: patreon.com/jdehorty

🎥 Lorentzian Classification Tutorial: youtu.be/AdINVvnJfX4

🤖 Discord: discord.com/invite/djXT5sAPfQ

⏩ LinkedIn: linkedin.com/in/justin-dehorty
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