Learn · Screeners 7 min read Reviewed

Price Threshold Analysis: Event History and Forward Returns

Price Threshold Analysis finds sessions where a stock moved beyond a chosen close-to-close threshold. It compares each event with similar historical events for the same stock. The history describes the sample that occurred; it does not establish an unconditional probability for the next event.

Define the event before reading its history

A daily move is (current close − previous close) ÷ previous close × 100. Up mode keeps moves at or above the positive threshold; Down keeps moves at or below its negative; Both compares absolute magnitude. A 5% close-to-close move is not necessarily a 5% opening gap.

Historical fields
FieldMeaning
Comparable eventsPast sessions matching the direction and threshold definition
Next-day up/downObserved direction in the eligible next-session sample
ContinuationWhether the following move followed the original event direction
Forward returnChange over the selected later-session horizon
Sample sizeNumber of events behind the displayed statistic

Threshold presets, summary cards and focus screens

The control panel sets the event definition before any history is shown. The one-day move threshold has presets of 1%, 2%, 3%, 5%, 7.5%, 10%, 15% and 20%, and a note beneath states what is being scanned, such as moves of 5% or more in absolute terms. Direction switches between Both, Up and Down. You can also set the trading universe, a minimum price and a minimum volume to keep illiquid names out, scan a past session with backtest mode, open stocks in a new tab so the filters stay intact, and let the page poll for new data every minute.

  • Summary cards. The number of threshold breaches with their average absolute move, how many were up moves and how many were down moves, and how many breached with relative volume of at least 1.5 times normal.
  • Threshold Tape. Every stock that breached the selected one-day threshold in the latest session.
  • Volume Confirmed. Breaches that traded with relative volume of 1.5 times or more, a sign that participation supported the move.
  • Follow-Through History. Stocks whose past events of this kind continued the next day at least 55% of the time.
  • Fade Candidates. Stocks where the history leans against the direction of the move on the next day.

The tape lists each symbol with its sector, the one-day move, the close and its change, the day's range as a position bar, relative volume, volume and a next-day up percentage with its event count, such as 6 of 9 events. The base rates are close to close and use two years of that stock's own history.

Note

Read the event count beside every percentage. A 67% next-day figure built from 6 of 9 events is a small sample, and the focus screens that filter by a percentage do not remove that uncertainty. Treat them as places to look first, not as signals.

Use the event ledger

Price Threshold Analysis: Event History and Forward Returns tool workspace with numbered controls and reading points
Wide desktop interface capture, with the pictured source dates and selected filters. Readings illustrate the workflow and are not current market data.
  1. One-day threshold. The event is a one-session move beyond the selected absolute percentage.
  2. Observed move. Read the actual move, close and day range for the pictured session.
  3. Historical base rate. Check both the percentage and the sample size; a handful of events is a weak baseline.
  4. Continuation. Continuation uses the tool’s event definition and should not be read as a guaranteed next-day outcome.
Price Threshold Analysis: Event History and Forward Returns tool workspace with numbered controls and reading points
  1. Open Price Threshold Analysis, choose the threshold, direction and session.
  2. Set universe, minimum price and volume conditions before comparing rows.
  3. Read each stock's sample size next to its historical percentages.
  4. Select a symbol to inspect the event dates, candle details and 1D/5D/10D/20D forward returns.
  5. Compare median, dispersion and adverse outcomes instead of reading only the average or continuation percentage.

A historical percentage needs its denominator

If six of ten comparable past up-move events were followed by another rise, the observed rate is 60% in that ten-event sample. That is not a guaranteed 60% chance for today. Overlapping events, market regime and a small sample can materially change the interpretation.

Historical analogues can be unstable

  • Changing the threshold or direction creates a different event sample.
  • Repeated events during one episode can be correlated rather than independent.
  • The average can be dominated by a few extreme observations.
  • Forward outcomes near the latest date may be unavailable; read eligible counts.
  • Expected-price references are projections from historical averages, not reliable price targets.
FAQ

Price Threshold Analysis: Event History and Forward Returns: frequently asked questions

01Is the threshold measured from the open?

No. The event uses close-to-close percentage change from the previous close.

02Are the displayed historical rates predictions?

They are observed rates in the matching historical sample. Their usefulness depends on sample size, comparability and whether market behavior changes.

Next steps

Open the live tool on NSE data, then continue with the related walkthroughs.

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