Screen
Research tool · not investment advice. Full disclaimer →
Screen
build a shortlist, share it as a linkSource: computed from NSE prices · accumulation · CPR · credibility.
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.
| Symbol | Sector? | 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? | Instrument | Rank in screen | vs own 1-mo |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| CGPOWER | Nifty Infrastructure | 879.0 | 0 | ₹13,339 | - | 0 | 0.46× | 26.3% | Neutral | 62 | Uptrend | None | Consolidation | -10.0% | — | 1.9× | |
| GVT&D | Nifty Infrastructure | 4,253.2 | 1 | ₹14,858 | - | 0 | 0.40× | 33.8% | Neutral | 51 | Uptrend | Bull U | Consolidation | -23.1% | — | 0.9× | |
| IRCTC | — | 454.1 | 1 | ₹5,402 | - | 0 | 0.46× | 41.8% | Strong Distrib | 22 | Downtrend | Bull U | Neutral | -37.8% | — | 2.2× | |
| LTTS | Nifty IT | 3,267.8 | 2 | ₹7,537 | - | 0 | 0.48× | 44.9% | Neutral | 47 | Consolidating | Bull U | Consolidation | -30.4% | — | 1.4× | |
| NUVAMA | Nifty Financial Services | 1,701.4 | 0 | ₹7,570 | - | 0 | 0.36× | 37.5% | Neutral | 66 | Consolidating | None | Neutral | -14.1% | — | 2.5× | |
| PERSISTENT | Nifty IT | 5,367.0 | 1 | ₹21,267 | - | 0 | 0.52× | 36.5% | Distrib | 63 | Uptrend | Bull U | Neutral | -18.2% | — | 1.1× |
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.
How to read this screen
plain EnglishSource: Patearn glossary.
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 →