Technical & Price Action
Breakout Stocks is a Technical & Price Action screen. It checks every NSE-listed stock against 3 conditions computed from nightly data, after excluding heavily pledged promoters and very small market caps. This page explains the rule, each figure and its source. It lists no stocks and is not advice.
A breakout occurs when a stock that has been consolidating in a narrow range finally pushes through its resistance level with above-average volume. Breakout stocks are near their 52-week high and well above their 52-week low, indicating they have already made a significant move and are now attempting to extend it. The combination of price proximity to the high and strong volume signals that buyers are in control and sellers have been absorbed. This is a momentum and supply-demand screen, not a value or quality screen.
A stock must satisfy every condition below. Conditions are grouped under the pillar they test.
Breakout Setup
Liquidity
Hard excludes
Ranked by Daily Volume ÷ 20-Day Average Volume, highest first.
Distance from 52-Week High (%)
How far the current price is below the 52-week high. A breakout stock is within 10% of its annual peak.
Low is better
Price vs 52-Week Low (%)
How far the current price is above the 52-week low. Confirms the stock has made a meaningful prior move.
High is better
Average Daily Volume (shares)
Average daily shares traded. Required above 100,000 to ensure the stock can be entered and exited without significant impact.
High is better
Stock Price (₹)
Current market price per share. Minimum ₹10 required.
High is better
Type hypothetical values to see which conditions they satisfy. These are not real stocks and nothing here is stored.
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How many stocks pass if this threshold were set differently. Counts only; no stocks are named.
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We could not tell this screen's picks apart from the stocks it left out. That is an absence of evidence, not a finding that the screen is wrong; it is still a valid way to narrow a list by your own rules.
AI-generated plain-language explanation
Each month across 64 months of data we measured whether the stocks this screen picked did better over the following month (21 trading days) than the stocks it did not pick. We score that from -1 (the picks always did worse) to +1 (always did better); 0 means no pattern. This screen scored -0.0044. As a measurement, the score is essentially zero. If the screen had no real edge, a score at least this far from zero would show up about 39 in 100 by luck alone. That does not mean the screen is wrong; it still works for narrowing a list of stocks by your own rules. This is a record of the past, not a prediction.
This content has been generated with the assistance of artificial intelligence tools by FINOME TECHNOLOGIES PVT LTD. It is for educational purposes only and does not constitute investment advice, a research report, or a recommendation under SEBI (Research Analysts) Regulations, 2014 or SEBI (Investment Advisers) Regulations, 2013. Not investment advice. Issued in compliance with SEBI circular SEBI/HO/MIRSD/MIRSD-SEC-5/P/CIR/2024/149.
In the past data we checked, we could not tell the stocks this screen picked apart from the ones it left out. Each month, across the whole period we have data for, we checked whether the stocks this screen picked did better, over the following month (21 trading days), than the stocks it didn't pick. We score that from -1 (the picks always did worse) to +1 (always did better); 0 means no pattern. This screen scored -0.0044. As a measurement, the score is essentially zero. If the screen had no real edge, a score at least this far from zero would show up about 39 in 100 by luck alone. That does not mean the screen is wrong; it still works for narrowing a list of stocks by your own rules.
This is a record of the past, not a prediction.
This is a historical, statistical measurement produced by FINOME TECHNOLOGIES PVT LTD's research harness on past data. It is not a prediction, and past results do not indicate future results. The universe is today's Nifty 500 constituents, so the sample is affected by survivorship bias. It describes how a screen's selections behaved in the past and does not constitute investment advice or a recommendation.
Rule version 1.0.0