PROTECTED SOURCE SCRIPT
Next Candle Probability (EB, EWMA, Regime)

Purpose
This indicator provides a quantitative assist to day traders by estimating the probability that the next candle will close green or red.
It analyzes recent red/green sequences across pattern depths N = 1…7 and produces a unified probability score.
By understanding which side has statistically higher likelihood, traders can align their decision-making with dominant directional bias rather than emotion.
Methodology
Strict no-lookahead logic (no repaint, doji filtered out)
Hierarchical smoothing across depths (1 → 7) using empirical-frequency regularization
Optional exponential decay (EWMA) for adaptive weighting toward recent market behavior
Higher-timeframe EMA regime filter (trend-aligned / countertrend-blocked / off)
ALL / SELECTED scope modes with a single, consolidated decision per bar
On-chart informational tags showing raw frequency (“R”) and smoothed estimate (“E”)
Full alert support for directional probability shifts
How it helps day traders
The indicator highlights whether the next bar’s probability distribution favors the bullish or bearish side.
This supports decision-making that is aligned with:
recent statistical behavior,
trend direction,
and adaptive weighting of market conditions.
It is designed for traders who want a structured, probability-based confirmation rather than relying on subjective interpretation.
Research & Theory
This script is based on:
empirical pattern-frequency modeling,
hierarchical Bayesian-style smoothing,
and regime filtering through higher-timeframe trend structure.
This indicator provides a quantitative assist to day traders by estimating the probability that the next candle will close green or red.
It analyzes recent red/green sequences across pattern depths N = 1…7 and produces a unified probability score.
By understanding which side has statistically higher likelihood, traders can align their decision-making with dominant directional bias rather than emotion.
Methodology
Strict no-lookahead logic (no repaint, doji filtered out)
Hierarchical smoothing across depths (1 → 7) using empirical-frequency regularization
Optional exponential decay (EWMA) for adaptive weighting toward recent market behavior
Higher-timeframe EMA regime filter (trend-aligned / countertrend-blocked / off)
ALL / SELECTED scope modes with a single, consolidated decision per bar
On-chart informational tags showing raw frequency (“R”) and smoothed estimate (“E”)
Full alert support for directional probability shifts
How it helps day traders
The indicator highlights whether the next bar’s probability distribution favors the bullish or bearish side.
This supports decision-making that is aligned with:
recent statistical behavior,
trend direction,
and adaptive weighting of market conditions.
It is designed for traders who want a structured, probability-based confirmation rather than relying on subjective interpretation.
Research & Theory
This script is based on:
empirical pattern-frequency modeling,
hierarchical Bayesian-style smoothing,
and regime filtering through higher-timeframe trend structure.
受保护脚本
此脚本以闭源形式发布。 但是,您可以自由使用,没有任何限制 — 了解更多信息这里。
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。
受保护脚本
此脚本以闭源形式发布。 但是,您可以自由使用,没有任何限制 — 了解更多信息这里。
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。