
A multi-timeframe analysis script that uses linear regression channels to identify bullish and bearish market trends across daily, weekly, and monthly timeframes.
Explore complementary indicator rolesHow it works
The MTF Analysis script calculates linear regression lines for daily, weekly, and monthly timeframes to assess market trends. It uses customizable regression lengths and smoothing techniques to create refined trend lines that track price movements across multiple time periods.
The script generates signals by comparing current price positions relative to these regression lines. Strong bullish or bearish conditions are identified when prices consistently remain above or below weekly and monthly regression lines, with optional daily timeframe filtering for more precise trend detection.
Why it may be useful
Multi-timeframe analysis provides traders with a comprehensive view of market trends beyond single-timeframe perspectives. By integrating daily, weekly, and monthly regression lines, traders can gain deeper insights into market momentum and potential trend reversals.
The script's ability to identify strong and weak trend signals helps traders make more informed decisions by understanding the broader market context and reducing the risk of trading against dominant trend directions.
When to explore it
This analysis is most effective for swing traders and investors seeking to understand long-term market trends and potential trend reversals. It works best in markets with clear directional movements and when traders want to validate trend strength across multiple timeframes.
The script is particularly useful during periods of market transitions, helping traders identify potential trend changes by comparing price positions across different time periods and avoiding false signals near regression line thresholds.
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What we’ve verified
Access, alerts and repainting behaviour have not been independently verified for this indicator. Check the creator’s current publication and settings.
General descriptions and classifications are recovered research. Verified details above identify the specific checks we have completed. Check the creator’s current publication for later changes.



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