NiftyScanner analyzes stocks by combining stored NSE scanner observations, public market context, and later movement follow-up into educational pages for market study.
This page is for readers who want to understand the inputs, workflow, and limits behind NiftyScanner before reading stock observation pages.
One market day, from stored snapshot to published page
Every public page is the output of the same ordered run. Nothing is written by hand between these stages, which is why an old page still says what it said on the day it was generated.
Stage
What exists once it finishes
1. Daily snapshot
A stored scanner snapshot covering the tracked NSE universe for that date.
2. Public selection
The subset of observations with enough context or movement value to be worth publishing.
3. Context attachment
Public news, event and social summaries, but only where the snapshot already holds them.
4. Page generation
Stock, snapshot and archive pages, each carrying its observation date.
5. Movement follow-up
1D, 3D and 5D fields, filled in only once those windows complete.
Categorizes market behaviour into readable observation labels.
Adds public news and event context when available.
Shows movement follow-up after the observation date when stored outcomes exist.
What NiftyScanner does not do
Not advice, not stock tips
It does not provide buy or sell recommendations.
It does not rank stocks as the best stocks to buy.
It does not replace official exchange filings, company disclosures, or a SEBI-registered adviser.
Key features
Stages you can see on the public site
Feature
How it helps readers
Scanner conditions
Market behaviour is grouped into plain-language observation categories.
Context separation
News and events are shown separately from scanner output.
Movement accountability
Follow-up movement is shown as historical study, not a success label.
Date-based archive
Snapshot pages preserve the market day that produced the observation.
Educational framing
Methodology text states what the system does and does not do.
Repeatable public pages
Pages are generated from stored data for consistent review.
Public context example
Why an observation may need context
Recent stock-moving coverage for BALKRISIND is centered on the FY26 AGM and the Q1 FY27 investor-update cycle. The most material items were the approval of a final dividend for FY26 and company-reported operational updates discussed in the Q1 FY27 materials, including record quarterly volumes and a shift in geographic mix, both of which can affect near-term market sentiment.
Methodology summary
The pipeline, in order
Collect the daily scanner snapshot for the tracked NSE universe.
Select public observations that have enough context or movement value to be useful.
Attach public news, event, and social summaries when the data is available.
Publish stock, snapshot, and archive pages that keep observation date and data source visible.
Sources and data inputs
Visible input types
Stored NSE market-day scanner snapshots for the tracked equity universe.
Public news, corporate event, and market context summaries where available.
Post-observation 1D, 3D, and 5D movement fields when those windows are complete.
NSE market calendar awareness so weekends and holidays are not treated as missed data.
Limitations
Read before using
Scanner observations can be wrong, stale, incomplete, or unsuitable for any individual situation.
Some symbols or market days may have limited public context in the stored snapshot.
Past movement after an observation does not predict future market movement.
NiftyScanner is educational only and is not registered with SEBI as an Investment Adviser or Research Analyst.
FAQ
Pipeline questions
Does NiftyScanner use live trading signals on the public site?
No. The public site is generated from stored educational snapshots and does not expose live trading instructions.
Why do some stock pages have pending movement?
Movement is shown only when the stored observation date has completed outcome fields. The page does not borrow movement from older observations.
Can the methodology be wrong?
Yes. Data-assisted observations can be incomplete or wrong, which is why every page is framed as educational and should be verified against official sources.
NiftyScanner pages are designed to be cited as educational market observation records. They should not be used as investment advice or as a replacement for official exchange and issuer sources.