Screen
Research tool · not investment advice. Full disclaimer →
Screen
build a shortlist, share it as a linksampleSource: 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| DEMOIND | Nifty Auto | 624.8 | 4 | ₹74,000 | P2 | 4 | — | 38.7% | Accum | 83 | Improving | Bull U | Accumulation | -8.4% | ——— | — | 1.4× |
| EXAMPLEBK | Nifty Bank | 1,290.0 | 0 | ₹96,000 | P2 | 3 | — | 51.0% | Neutral | 66 | Weakening | — | Mixed | -14.2% | ——— | — | 0.9× |
| PLACEHOLD | Nifty Pharma | 388.4 | 0 | ₹41,000 | P3 | 2 | — | 29.5% | Distrib | 41 | Lagging | — | Distribution | -27.9% | ——— | — | 0.7× |
| SAMPLECO | Nifty IT | 1,842.5 | 5 | ₹1.18L | P1 | 5 | — | 46.2% | Accum | 91 | Uptrend | Bull U | Accumulation | -3.1% | ——— | — | 2.2× |
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 →