INVITE-ONLY SCRIPT
eFkolos Tech
Machine learning-enhanced SuperTrend indicator that uses k-means clustering to adaptively optimize SuperTrend parameters based on historical performance. Let me break down what makes this unique:
Key Innovation
Instead of using a single fixed SuperTrend factor, this indicator:
Calculates multiple SuperTrends simultaneously (with factors from 1 to 5 by default, stepped at 0.5)
Tracks performance of each variant using exponential smoothing
Clusters them into 3 groups (Best/Average/Worst) using k-means algorithm
Adapts by selecting the average factor from your chosen cluster
Clever Technical Aspects
Performance Metric: Uses a smart approach where performance = EMA of (price_change × signal_direction), giving positive values when the SuperTrend correctly predicts direction.
K-means Implementation: Properly initializes centroids using quartiles and iterates until convergence - this is solid unsupervised learning.
Adaptive MA Layer: The perf_ama that adapts faster when the performance index is high (more confidence) and slower when low.
Memory Management: Uses UDTs (User Defined Types) efficiently with arrays to handle multiple SuperTrend instances.
Key Innovation
Instead of using a single fixed SuperTrend factor, this indicator:
Calculates multiple SuperTrends simultaneously (with factors from 1 to 5 by default, stepped at 0.5)
Tracks performance of each variant using exponential smoothing
Clusters them into 3 groups (Best/Average/Worst) using k-means algorithm
Adapts by selecting the average factor from your chosen cluster
Clever Technical Aspects
Performance Metric: Uses a smart approach where performance = EMA of (price_change × signal_direction), giving positive values when the SuperTrend correctly predicts direction.
K-means Implementation: Properly initializes centroids using quartiles and iterates until convergence - this is solid unsupervised learning.
Adaptive MA Layer: The perf_ama that adapts faster when the performance index is high (more confidence) and slower when low.
Memory Management: Uses UDTs (User Defined Types) efficiently with arrays to handle multiple SuperTrend instances.
仅限邀请脚本
只有作者授权的用户才能访问此脚本。您需要申请并获得使用许可。通常情况下，付款后即可获得许可。更多详情，请按照下方作者的说明操作，或直接联系sbagdai。
TradingView不建议您付费购买或使用任何脚本，除非您完全信任其作者并了解其工作原理。您也可以在我们的社区脚本找到免费的开源替代方案。
作者的说明
machine learning-enhanced SuperTrend indicator that uses k-means clustering to adaptively optimize SuperTrend parameters based on historical performance. Let me break down what makes this unique:
Key Innovation
Instead of using a single fixed SuperTrend
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。
仅限邀请脚本
只有作者授权的用户才能访问此脚本。您需要申请并获得使用许可。通常情况下，付款后即可获得许可。更多详情，请按照下方作者的说明操作，或直接联系sbagdai。
TradingView不建议您付费购买或使用任何脚本，除非您完全信任其作者并了解其工作原理。您也可以在我们的社区脚本找到免费的开源替代方案。
作者的说明
machine learning-enhanced SuperTrend indicator that uses k-means clustering to adaptively optimize SuperTrend parameters based on historical performance. Let me break down what makes this unique:
Key Innovation
Instead of using a single fixed SuperTrend
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。