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Research tool · not investment advice. Full disclaimer →

Screen

build a shortlist, share it as a linksample
Updated: nightly

A shortlist to study and never a buy list: liquid stocks ranked by how many independent pillars — momentum, accumulation, relative strength, structure — line up right now, each turned into a shape beside its raw numbers. Sort any column, filter it, and the URL becomes the screen you saved.

4 of 4 matching · 0 in scope · as of 2026-10-01⬇ CSV (this screen)15 columns shown of 115 available
Every column, filter and export stays free.
Screen build a shortlist, share it as a link sample i Source: computed from NSE prices · accumulation · CPR · credibility.
SymbolSector?Price (₹)?Confluence (0–6)?Delivery size?Trigger rank?P (0–5)?×power?Deliv %?Accum state?Strength percentile of 1,448?Strength trend?Pivot pattern · day?Character?From 52w high?InstrumentRank in screenvs own 1-mo
DEMOINDNifty Auto624.84₹74,000P24—38.7%Accum83ImprovingBull UAccumulation-8.4%————1.4×
EXAMPLEBKNifty Bank1,290.00₹96,000P23—51.0%Neutral66Weakening—Mixed-14.2%————0.9×
PLACEHOLDNifty Pharma388.40₹41,000P32—29.5%Distrib41Lagging—Distribution-27.9%————0.7×
SAMPLECONifty IT1,842.55₹1.18LP15—46.2%Accum91UptrendBull UAccumulation-3.1%————2.2×
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Each row is one liquid stock on the latest exchange close. Every value is a stored, precomputed number — nothing is recomputed or predicted on the fly.

Ask Pat: confluence in this scope “credible companies being accumulated that are RS-leading”

How to read this screen

plain English
How to read this screen SCREENscope · views · columns · the URL

Pick a scope (an index, your watchlist, everything liquid, or a theme), then a view — a named set of columns for one question. Add or drop whole column families, sort on any column, and narrow with the filter box. Nothing is hidden behind a plan: every column, filter and export is free.

Numeric cuts. Any number column can also be cut to a threshold, straight from the address bar: ?f=su1:gte:3 keeps only rows whose Surge 1m is 3 or more, and ?f=su1:gte:3,dlv:gte:60 asks for both at once (gte = at least, lte = at most; up to six cuts). Each active cut appears as a chip you can click to remove. A name whose value for that column is unknown is left OUT — a cut lists the names that met it, never the names nobody measured.

The Confluence column counts how many independent pillars line up on a name today (delivery positioning · accumulation · relative strength · structure · credibility · geometry). It is a way to sort a shortlist, not a score to act on — the pillars were built and tested separately, and several of them are explicitly descriptive-only.

The address bar is the saved screen. Every choice you make is in the URL, so you can bookmark it, share it, or paste it to a colleague and they see exactly your screen. The CSV button downloads that same screen — same scope, same filter, same sort, same columns.

Only liquid names are shown: a stock must trade at or above the 30th percentile of the day's exchange turnover. That floor re-derives from the data every day rather than sitting at a fixed rupee number. How many names it removed is printed beside the count above — and if the floor could not be derived on this host, that line says the fence is not in force rather than repeating this paragraph.

Confluence — How many independent pillars line up right now. A sorting heuristic for building a shortlist — not a validated model, not a score to act on.

Accumulation — Descriptive only — the accumulation/distribution read failed its out-of-sample gate. It describes the tape; it never ranks and never triggers.

Themes and baskets are a different door onto the same data — browse by what companies actually do →