INVITE-ONLY SCRIPT

MORE - MTF Open Retest Extensions [Pro]

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Overview

MORE- MTF Open Retest Extensions [Pro] highlights what price typically does after a higher-timeframe structure break (taking out the previous candle’s high or low) and before a potential retest of the current open.

It plots percentile extension levels (above/below the broken side) that quantify how far price has historically moved prior to an open retest if a retest occurs, giving traders objective context for stretch vs. common movement around structural breaks.

Key features

• Break-aware logic: MORE activates only after the current timeframe has broken the prior candle’s high/low. No break → no extensions.

• Open-retest probabilities: Displays the empirical likelihood of retesting the current open following a break, with sensitivity to when in the interval the break occurred (early/late breaks can behave differently).

• Pre-retest extension percentiles: Five percentile bands (e.g., 25/50/75/85/95) show how far price typically extends before any open retest on the broken side.

• Multi-timeframe dashboard: Monitor multiple reference timeframes (e.g., 1h → 12h) while viewing any chart timeframe. See which breaks are active and the highest percentile reached this interval.

snapshot

snapshot

• Filtering & display controls: Toggle historical zones, choose zones vs. lines (or both).

• Filtering with a threshold: User can enter a threshold for the historical probability so that the open, zones, levels and dashboard only show for timeframes above this user defined input. e.g. input of 70%, zone and levels will only be drawn when the historical data was greater than or equal to this level.

• Show selected timeframe or all untested opens the dashboard is showing as "Active"

snapshot

• 2 Alert types: Set for a specific timeframe to alert an activate open for retest or set a percentile level to be crossed and alert on cross.

No signals, just context: MORE is a descriptive tool for structure and stretch—use it alongside your own strategy and risk framework.

Methodology (transparency)

• MORE uses embedded statistical datasets constructed from extensive historical price behavior across multiple timeframes.

• Each dataset represents conditional empirical outcomes—specifically, how far price extended beyond a prior candle’s high/low before retesting its open on the same timeframe.

• Percentiles and probabilities are calculated from these internal data arrays, ensuring the indicator runs deterministically on TradingView with no external data connections.

• The proprietary component lies in:

The way volatility and structure are normalized across timeframes;

How conditional breaks and open-retest windows are segmented; and

How percentile extension zones are blended into continuous statistical envelopes.

• These methods and datasets are unique to LevelLogic Indicators and are not replicated from any public or open-source scripts.

• Outputs summarize historical tendencies for educational context only — they are not predictive signals.

How to use

• Pick the reference timeframe (e.g., 1H, 2H, 4H, … 12H).

• Wait for a break of the prior candle’s high/low on that timeframe—MORE then plots the pre-retest extension percentiles on the broken side.

• Use the open-retest probability as context only; combine with your own entry/management rules.

• Optionally toggle historical view to study prior intervals and how far price usually stretched before any open retest.

• Consider alerts on percentile crosses if you want notifications when price enters statistically stretched areas.

Notes

Educational/analytical tool — no signals, no performance or outcome promises.

Historical tendencies change with regime; treat outputs as context, not advice.

Non-standard bars (e.g., Heikin Ashi/Renko) are for display only.

Credits

Developed by LevelLogic Indicators to provide clear, empirical context around breaks and open-retest behavior across multiple timeframes.

Invite-only script

Only users approved by the author can access this script. Request permission per the author’s instructions.

Disclaimer

The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by TradingView. Read more in the Terms of Use.