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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| AARTIIND | Nifty Chemicals | 465.1 | 2 | ₹5,487 | - | 0 | 0.55× | 50.7% | Strong Distrib | 51 | Uptrend | Bull U | Consolidation | -14.4% | — | 0.8× | |
| ATUL | Nifty Chemicals | 5,861.0 | 0 | ₹8,778 | - | 0 | 0.28× | 52.5% | Strong Distrib | 26 | Downtrend | None | Neutral | -17.5% | — | 0.7× | |
| BAYERCROP | Nifty Chemicals | 3,554.2 | 2 | ₹8,698 | - | 0 | 0.37× | 61.8% | Strong Distrib | 7 | Downtrend | Bull U | Neutral | -30.5% | — | 0.6× | |
| CHAMBLFERT | Nifty Chemicals | 399.3 | 0 | ₹3,847 | - | 0 | 0.36× | 55.5% | Strong Distrib | 13 | Downtrend | None | Neutral | -24.4% | — | 0.8× | |
| COROMANDEL | Nifty Chemicals | 1,763.6 | 0 | ₹8,758 | - | 0 | 0.38× | 48.3% | Distrib | 23 | Downtrend | None | Neutral | -26.8% | — | 1.5× | |
| DEEPAKNTR | Nifty Chemicals | 1,492.8 | 1 | ₹7,598 | - | 0 | 0.36× | 52.7% | Distrib | 48 | Consolidating | Bull U | Consolidation | -20.4% | — | 0.5× | |
| EIDPARRY | Nifty Chemicals | 674.5 | 0 | ₹4,793 | - | 0 | 0.38× | 48.0% | Distrib | 20 | Downtrend | None | Neutral | -38.1% | — | 0.9× | |
| FLUOROCHEM | Nifty Chemicals | 4,341.5 | 0 | ₹15,071 | - | 0 | 0.45× | 53.6% | Strong Distrib | 73 | Uptrend | None | Neutral | -9.3% | — | 1.2× | |
| GNFC | Nifty Chemicals | 589.1 | 1 | ₹9,939 | - | 0 | 0.71× | 50.6% | Accum | 79 | Uptrend | None | Neutral | -6.5% | — | 0.5× | |
| HSCL | Nifty Chemicals | 665.1 | 1 | ₹15,080 | - | 0 | 0.57× | 45.1% | Strong Distrib | 71 | Uptrend | Bull U | Consolidation | -16.9% | — | 0.4× | |
| LINDEINDIA | Nifty Chemicals | 6,247.5 | 0 | ₹5,517 | - | 0 | 0.22× | 28.4% | Strong Distrib | 17 | Downtrend | None | Neutral | -20.4% | — | 1.8× | |
| NAVINFLUOR | Nifty Chemicals | 8,136.5 | 0 | ₹18,177 | - | 0 | 0.52× | 50.3% | Distrib | 73 | Uptrend | None | Neutral | -7.3% | — | 0.7× | |
| PCBL | Nifty Chemicals | 321.5 | 1 | ₹5,220 | - | 0 | 0.53× | 43.0% | Neutral | 61 | Uptrend | Bull U | Consolidation | -17.2% | — | 0.5× | |
| PIDILITIND | Nifty Chemicals | 1,464.0 | 1 | ₹19,779 | - | 0 | 0.55× | 60.8% | Strong Distrib | 47 | Consolidating | Bull U | Neutral | -14.0% | — | 1.3× | |
| PIIND | Nifty Chemicals | 2,236.0 | 1 | ₹7,110 | - | 0 | 0.23× | 45.2% | Neutral | 9 | Downtrend | None | Neutral | -41.5% | — | 0.4× | |
| SOLARINDS | Nifty Chemicals | 19,400.0 | 1 | ₹32,785 | - | 0 | 0.65× | 35.8% | Strong Distrib | 75 | Uptrend | Bull U | Consolidation | -13.6% | — | 0.7× | |
| SRF | Nifty Chemicals | 2,486.2 | 1 | ₹32,064 | A | 3 | 1.01× | 61.4% | Distrib | 35 | Downtrend | Bull U | Distribution | -22.1% | — | 1.6× | |
| SUMICHEM | Nifty Chemicals | 417.6 | 1 | ₹4,871 | - | 0 | 0.39× | 58.0% | Strong Distrib | 31 | Downtrend | Bull U | Neutral | -26.1% | — | 2.9× | |
| TATACHEM | Nifty Chemicals | 607.8 | 0 | ₹7,296 | - | 0 | 0.37× | 34.2% | Neutral | 24 | Downtrend | None | Neutral | -36.2% | — | 0.3× | |
| UPL | Nifty Chemicals | 516.8 | 0 | ₹21,314 | - | 0 | 0.57× | 60.3% | Neutral | 15 | Downtrend | None | Neutral | -35.8% | — | 1.0× |
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 →