OPEN-SOURCE SCRIPT

Tesla Coil ML

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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.
Notes de version
  • Enhancements for settings interface
  • Better default settings
Notes de version
  • Removed unused setting
Notes de version
  • 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
Notes de version
  • Use built-in constant for pi
Notes de version
  • Simplify dominant cycle measurement
  • Add toggles for ML Signals and MESA Baseline
AIcyclecycleanalysisCyclesmachinelearningmesa

Script open-source

Dans le plus pur esprit TradingView, l'auteur de ce script l'a publié en open-source, afin que les traders puissent le comprendre et le vérifier. Bravo à l'auteur! Vous pouvez l'utiliser gratuitement, mais la réutilisation de ce code dans une publication est régie par nos Règles. Vous pouvez le mettre en favori pour l'utiliser sur un graphique.

Vous voulez utiliser ce script sur un graphique ?


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

🎥 Lorentzian Classification Tutorial: youtu.be/AdINVvnJfX4

🤖 Discord: discord.gg/ai-edge-107567337

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