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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.

466 of 466 matching · 466 in scope · as of 2026-10-01· liquidity floor in force, nothing below it today· 24 excluded below ₹3,921 Cr · 2 size unknown, kept⬇ 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 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
3MINDIA—30,795.00₹24,719-00.53×45.3%Distrib33DowntrendNoneNeutral-18.2%—1.1×
AADHARHFCNifty Financial Services448.40₹4,782-00.37×47.9%Strong Distrib22DowntrendNoneNeutral-19.4%—1.7×
AARTIINDNifty Chemicals465.12₹5,487-00.55×50.7%Strong Distrib51UptrendBull UConsolidation-14.4%—0.8×
AARTIPHARMNifty Healthcare Index968.52₹7,416-00.48×41.6%Accum89BreakoutNoneNeutral-0.4%—0.9×
AAVASNifty Financial Services1,190.90₹8,708A30.60×72.3%Distrib21DowntrendNoneDistribution-31.4%—2.6×
ABDLNifty FMCG679.52₹12,246A31.00×57.0%Accum79UptrendBull UDistribution-6.1%—1.0×
ABFRL—44.50₹4,321-00.42×44.3%Strong Distrib3BreakdownNoneNeutral-49.4%—1.0×
ABLBL—74.41₹5,696C10.37×56.3%Strong Distrib4BreakdownBear InvuNeutral-49.7%—0.7×
ABRELNifty Realty1,100.50₹6,101-00.47×52.6%Distrib13DowntrendNoneNeutral-41.8%—2.2×
ABSLAMCNifty Financial Services991.71₹2,822-00.19×34.9%Neutral32ConsolidatingBull UNeutral-17.3%—1.2×
ACC—1,182.81₹5,287-00.34×49.7%Distrib16DowntrendBull UNeutral-38.2%—1.0×
ACE—1,212.32₹5,227-00.47×36.6%Accum83UptrendNoneNeutral-3.3%—1.4×
ACI—475.10₹3,961-00.36×49.8%Neutral14DowntrendBear InvuNeutral-32.8%—0.4×
ACMESOLAR—432.63₹3,616-00.26×30.7%Accum82UptrendBull UNeutral-5.7%—0.4×
ACUTAASNifty Healthcare Index3,196.50₹11,724-00.58×51.0%Distrib64ConsolidatingNoneNeutral-13.5%—1.1×
AEGISLOGNifty Oil & Gas1,401.12₹7,935-00.58×33.8%Neutral92UptrendBull UNeutral-5.7%—1.1×
AEGISVOPAKNifty Oil & Gas290.82₹6,563-00.80×38.9%Accum85UptrendNoneNeutral-8.7%—0.9×
AEQUSNifty India Defence275.11₹11,254B20.99×47.6%Distrib93UptrendNoneAccumulation-1.6%—1.3×
AETHER—1,670.01₹4,512-00.40×57.4%Distrib84UptrendNoneNeutral-5.5%—1.3×
AFCONS—242.41₹3,900-00.31×43.1%Neutral6BreakdownNoneNeutral-48.0%—0.1×
AFFLENifty IT1,449.62₹4,369-00.31×49.1%Neutral46ConsolidatingBull UConsolidation-29.7%—0.4×
AKUMSNifty Healthcare Index813.11₹4,634-00.47×44.9%Neutral89BreakoutNoneNeutral-1.2%—0.6×
ALKYLAMINE—1,741.41₹2,965-00.46×45.4%Distrib61UptrendNoneConsolidation-16.7%—0.6×
AMAGINifty IT554.01₹5,272-00.54×42.6%Distrib82ConsolidatingNoneConsolidation-17.9%—2.7×
AMBERNifty Consumer Durables6,500.00₹12,383-00.40×32.0%Neutral32DowntrendNoneNeutral-26.5%—1.0×
← Previous1–25 of 466 · page 1 of 19Next →

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 small caps”

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 →