Skip to content
patearn.in
NIGHTLY ·
More

Screen

Research tool · not investment advice. Full disclaimer →

Screen

build a shortlist, share it as a link
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.

1,541 of 1,541 matching · 1,541 in scope · as of 2026-10-01· 695 excluded as illiquid· 77 excluded below ₹621 Cr · 61 size unknown, kept⬇ CSV (this screen)6 columns shown of 115 available
Every column, filter and export stays free.
Screen build a shortlist, share it as a link i Source: computed from NSE prices · accumulation · CPR · credibility.
SymbolSector?Price (₹)?From 52w high?Surge 1m?×power?InstrumentRank in screenvs own 1-mo
20MICRONS—207.3-8.0%0.63×0.43×—0.6×
360ONENifty Financial Services1,040.0-14.0%1.11×0.54×—1.1×
3BBLACKBIO—1,646.8-3.7%1.34×0.41×—1.3×
3MINDIA—30,795.0-18.2%1.12×0.53×—1.1×
5PAISA—316.4-22.0%2.44×0.36×—2.4×
63MOONS—802.2-13.9%0.38×0.52×—0.4×
AADHARHFCNifty Financial Services448.4-19.4%1.69×0.37×—1.7×
AARTIDRUGSNifty Healthcare Index421.0-19.7%0.80×0.67×—0.8×
AARTIINDNifty Chemicals465.1-14.4%0.84×0.55×—0.8×
AARTIPHARMNifty Healthcare Index968.5-0.4%0.85×0.48×—0.9×
AAVASNifty Financial Services1,190.9-31.4%2.62×0.60×—2.6×
ABBNifty Energy6,900.0-10.8%1.26×0.48×—1.3×
ABBOTINDIANifty Healthcare Index26,840.0-11.3%0.80×0.33×—0.8×
ABCAPITALNifty Financial Services375.1-11.7%1.76×0.51×—1.8×
ABDLNifty FMCG679.5-6.1%1.01×1.00×—1.0×
ABFRL—44.5-49.4%1.03×0.42×—1.0×
ABLBL—74.4-49.7%0.67×0.37×—0.7×
ABRELNifty Realty1,100.5-41.8%2.15×0.47×—2.2×
ABSLAMCNifty Financial Services991.7-17.3%1.23×0.19×—1.2×
ACC—1,182.8-38.2%0.98×0.34×—1.0×
ACCELYA—1,094.2-27.1%6.86×0.60×—6.9×
ACE—1,212.3-3.3%1.38×0.47×—1.4×
ACI—475.1-32.8%0.35×0.36×—0.4×
ACMESOLAR—432.6-5.7%0.40×0.26×—0.4×
ACUTAASNifty Healthcare Index3,196.5-13.5%1.06×0.58×—1.1×
← Previous1–25 of 1,541 · page 1 of 62Next →

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.

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