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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.

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)21 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 (₹)?Pivot pattern · day?Pivot pattern · week?Pivot pattern · month?Pivot width · day %?Pivot width · week %?Pivot width · month %?Pivot rank?Pivot tier?Pivot strength?Compression percentile · day?Compression percentile · widest?Band state?Stretch?Stretch pctile?Floor gap?Ceiling gap?WolfeWolfe qualityInstrumentRank in screenvs own 1-mo
20MICRONS—207.3Bull UBull UNone0.600.020.49R1 W★★94196Inside+0.0%50+6.8%-11.2%———0.6×
360ONENifty Financial Services1,040.0Bull UBull UBear Invu0.521.184.44R1 M★★★93939Below-0.7%8-2.4%-15.0%Bull14—1.1×
3BBLACKBIO—1,646.8NoneBull UNone1.393.128.40R3 W★51818————————1.3×
3MINDIA—30,795.0NoneNoneNone0.271.022.30———5454Below-0.5%8-2.2%-17.4%Bear · In Zone15—1.1×
5PAISA—316.4Bull UNoneBear Invu0.181.046.01R3 M★58484Below-0.2%20-8.0%-24.1%———2.4×
63MOONS—802.2Bull UNoneNone1.000.463.62R1 D★★92785Inside+0.0%50+8.5%-15.1%———0.4×
AADHARHFCNifty Financial Services448.4NoneNoneNone0.501.663.20———3333Below-0.3%8-2.4%-8.1%Bear19—1.7×
AARTIDRUGSNifty Healthcare Index421.0Bull UBull UNone0.521.380.10R1 W★★104096Inside+0.0%56+4.1%-7.2%———0.8×
AARTIINDNifty Chemicals465.1Bull UBull UBear Invu0.690.502.59R1 M★★★102373Below-0.1%24+1.2%-15.7%Bear20—0.8×
AARTIPHARMNifty Healthcare Index968.5NoneBull UNone1.313.905.15R3 W★7825Above+1.1%89+26.6%+3.9%———0.9×
AAVASNifty Financial Services1,190.9NoneNoneNone0.901.303.32———1146Below-0.7%13-3.5%-22.9%Bear13—2.6×
ABBNifty Energy6,900.0Bull UNoneBear Invu0.721.523.02R1 M★★★92058Below-0.9%12+2.8%-12.6%Bull17—1.3×
ABBOTINDIANifty Healthcare Index26,840.0Bear InvuNoneNone0.320.441.58R1 D★★★114554Inside+0.0%51+6.8%-6.3%Bull17—0.8×
ABCAPITALNifty Financial Services375.1Bull UNoneBear Invu0.380.872.13R1 M★★★105758Below-0.6%7-2.4%-9.9%Bear15—1.8×
ABDLNifty FMCG679.5Bull UNoneBull U0.132.124.73R1 M★★89090Above+1.0%81+15.8%+5.5%Bear16—1.0×
ABFRL—44.5NoneNoneNone0.440.115.73———5498Below-2.1%4-19.2%-30.5%Bear19—1.0×
ABLBL—74.4Bear InvuNoneNone0.381.123.94R2 D★★★145656—————Bull18—0.7×
ABRELNifty Realty1,100.5NoneNoneNone1.270.447.16———881Below-2.7%7-19.0%-25.9%Bull20—2.2×
ABSLAMCNifty Financial Services991.7Bull UNoneNone0.301.342.42R2 D★★87070Reclaim+0.0%45+0.1%-11.2%Bear12—1.2×
ACC—1,182.8Bull UNoneNone0.460.791.88R1 D★★92554Below-0.8%12-9.8%-16.3%Bull13—1.0×
ACCELYA—1,094.2NoneNoneNone0.500.581.52———2160Reclaim+0.0%55+0.8%-7.3%———6.9×
ACE—1,212.3NoneNoneNone0.360.733.42———6269Inside+0.0%48+12.9%+1.4%Bear14—1.4×
ACI—475.1Bear InvuBull UNone0.430.770.84R1 W★★84979Inside+0.0%53+6.5%-21.4%———0.4×
ACMESOLAR—432.6Bull UNoneNone0.201.670.88R1 D★★98182Inside+0.0%47+19.6%+10.6%Bear15—0.4×
ACUTAASNifty Healthcare Index3,196.5NoneBear InvuBull U0.411.330.72R1 M★★865100Inside+0.0%33+2.5%-6.0%Bear10—1.1×
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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.

Reversal context — Descriptive only — BOTH band crosses were falsified as entries (2026-07-13). What survives is context: band state, own-history stretch, and the confirmed fractal as a risk level.

Wolfe geometry — Descriptive only — the studied edge was in SELECTION, not in the geometry itself. Never a target or an entry.

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