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10-Minute ML Signal

10-Minute ML Signal – Quick Overview
Purpose
A lightweight overlay that prints tiny green up-arrows or red down-arrows on a 10-minute candle chart to highlight moments when the model believes the probability of an imminent move has crossed a user-defined confidence level.
What it measures
Behind the scenes it condenses every bar into six intuitive “fingerprints” of current market micro-structure: momentum, relative volume, buying pressure, intraday volatility, plus the proportion of the range that sits above or below the open/close area. These six numbers are combined into a single probability score.
How the arrows appear
A green triangle appears the first time the probability ticks above the “high-confidence” threshold.
A red triangle appears the first time the probability falls below the complementary “low-confidence” threshold.
Once an arrow is printed it does not repaint; the next arrow can only occur after the score has crossed back through the opposite threshold.
Interpretation
Green arrows are intended as a gentle heads-up that buyers may be taking control.
Red arrows suggest sellers could be gaining the upper hand.
The indicator is best used as a confirmation tool rather than a stand-alone trigger—many traders combine it with trend filters, support/resistance levels, or higher-time-frame bias.
Asset & timeframe notes
The default logic was originally calibrated on Bitcoin’s 10-minute data; if you apply it to a different market or compression, expect the sensitivity to change and consider re-optimising the thresholds.
No guarantees
Like every statistical model, it is wrong a non-trivial percentage of the time. Always combine with your own risk management and trade sizing rules.
Purpose
A lightweight overlay that prints tiny green up-arrows or red down-arrows on a 10-minute candle chart to highlight moments when the model believes the probability of an imminent move has crossed a user-defined confidence level.
What it measures
Behind the scenes it condenses every bar into six intuitive “fingerprints” of current market micro-structure: momentum, relative volume, buying pressure, intraday volatility, plus the proportion of the range that sits above or below the open/close area. These six numbers are combined into a single probability score.
How the arrows appear
A green triangle appears the first time the probability ticks above the “high-confidence” threshold.
A red triangle appears the first time the probability falls below the complementary “low-confidence” threshold.
Once an arrow is printed it does not repaint; the next arrow can only occur after the score has crossed back through the opposite threshold.
Interpretation
Green arrows are intended as a gentle heads-up that buyers may be taking control.
Red arrows suggest sellers could be gaining the upper hand.
The indicator is best used as a confirmation tool rather than a stand-alone trigger—many traders combine it with trend filters, support/resistance levels, or higher-time-frame bias.
Asset & timeframe notes
The default logic was originally calibrated on Bitcoin’s 10-minute data; if you apply it to a different market or compression, expect the sensitivity to change and consider re-optimising the thresholds.
No guarantees
Like every statistical model, it is wrong a non-trivial percentage of the time. Always combine with your own risk management and trade sizing rules.
受保护脚本
此脚本以闭源形式发布。 但是,您可以自由使用它,没有任何限制 — 在此处了解更多信息。
免责声明
这些信息和出版物并不意味着也不构成TradingView提供或认可的金融、投资、交易或其它类型的建议或背书。请在使用条款阅读更多信息。
受保护脚本
此脚本以闭源形式发布。 但是,您可以自由使用它,没有任何限制 — 在此处了解更多信息。
免责声明
这些信息和出版物并不意味着也不构成TradingView提供或认可的金融、投资、交易或其它类型的建议或背书。请在使用条款阅读更多信息。