NiftyLensAI EDU

Methodology

Educational scanner observations, written for learning.

NiftyLens uses a data-assisted scanner to study market behaviour and public context, then publishes a readable educational view with context and post-observation movement tracking.

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01

Market scan

Reviews the tracked NSE universe for educational market-behaviour observations.

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02

Context review

Adds source-backed public news and event context without exposing data-source or model internals.

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03

Readable observation

Turns scanner conditions and context into concise notes for learning.

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04

Movement follow-up

Tracks signed 1D, 3D, and 5D movement percentages after an observation appears.

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Data inputs

The scanner uses market data for the tracked universe, plus public news and event context. Public pages are generated from stored snapshots and may not reflect the current live session.

How stocks are flagged

Each market day, the scanner looks for behaviour related to trend, participation, delivery, relative strength, volatility, liquidity, and public context. A stock appearing on NiftyLens means it matched educational scanner conditions, not that it is a recommendation.

How to read the pages

Treat every page as a study note about market behaviour, public context, and what happened after the observation appeared.

How movement tracking works

After a stock appears, public pages may show max percentage movement over 1D, 3D, and 5D windows. This is educational follow-up only and is not a trading outcome.

Limitations

Models can be wrong, stale, incomplete, or unsuitable for any individual. Markets move on information the scanner may not have seen. Always verify facts against official exchange filings and issuer sources.