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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| AXISBANK | Nifty Private Bank | 1,217.1 | 1 | ₹21,956 | - | 0 | 0.40× | 60.9% | Neutral | 36 | Downtrend | Bull U | Neutral | -13.3% | — | 1.4× | |
| BAJAJFINSV | Nifty Financial Services | 1,732.6 | 1 | ₹50,223 | SS | 5 | 1.60× | 73.6% | Strong Distrib | 41 | Downtrend | None | Neutral | -20.4% | — | 3.0× | |
| BAJFINANCE | Nifty Financial Services | 948.3 | 2 | ₹17,063 | - | 0 | 0.31× | 59.4% | Distrib | 47 | Consolidating | None | Neutral | -18.2% | — | 0.8× | |
| BSE | Nifty Financial Services | 3,046.0 | 0 | ₹29,143 | - | 0 | 0.45× | 48.2% | Distrib | 24 | Downtrend | Bear Invu | Neutral | -30.8% | — | 1.1× | |
| CHOLAFIN | Nifty Financial Services | 1,580.0 | 0 | ₹26,292 | - | 0 | 0.62× | 59.3% | Strong Distrib | 44 | Downtrend | None | Neutral | -18.6% | — | 1.0× | |
| HDFCBANK | Nifty Private Bank | 721.2 | 2 | ₹59,472 | A | 3 | 0.96× | 63.3% | Accum | 30 | Downtrend | None | Distribution | -28.6% | — | 1.2× | |
| HDFCLIFE | Nifty Financial Services | 534.2 | 1 | ₹14,224 | - | 0 | 0.39× | 44.2% | Accum | 35 | Consolidating | None | Neutral | -32.2% | — | 0.8× | |
| ICICIBANK | Nifty Private Bank | 1,310.6 | 1 | ₹53,965 | - | 0 | 0.67× | 57.1% | Strong Distrib | 44 | Consolidating | Bull U | Neutral | -10.4% | — | 1.4× | |
| ICICIGI | Nifty Financial Services | 1,563.0 | 1 | ₹14,968 | - | 0 | 0.33× | 60.5% | Strong Distrib | 24 | Downtrend | Bull U | Neutral | -23.5% | — | 1.5× | |
| JIOFIN | Nifty Financial Services | 212.5 | 0 | ₹11,563 | - | 0 | 0.43× | 41.2% | Distrib | 25 | Downtrend | None | Neutral | -32.5% | — | 2.2× | |
| KOTAKBANK | Nifty Private Bank | 418.4 | 2 | ₹52,059 | S | 4 | 1.16× | 58.2% | Accum | 62 | Breakout | None | Accumulation | -6.0% | — | 6.1× | |
| MFSL | Nifty Financial Services | 1,392.0 | 0 | ₹18,804 | - | 0 | 0.62× | 54.2% | Neutral | 25 | Downtrend | None | Neutral | -25.6% | — | 0.9× | |
| MUTHOOTFIN | Nifty Financial Services | 2,697.1 | 1 | ₹16,703 | - | 0 | 0.46× | 51.5% | Neutral | 18 | Downtrend | Bull U | Neutral | -34.1% | — | 0.8× | |
| PFC | Nifty Financial Services | 318.0 | 1 | ₹19,711 | - | 0 | 0.44× | 57.7% | Strong Distrib | 4 | Downtrend | Bull U | Neutral | -33.9% | — | 1.0× | |
| RECLTD | Nifty Financial Services | 287.8 | 1 | ₹21,822 | - | 0 | 0.62× | 57.7% | Strong Distrib | 9 | Downtrend | Bull U | Neutral | -25.4% | — | 1.3× | |
| SBICARD | Nifty Financial Services | 563.2 | 0 | ₹6,061 | - | 0 | 0.19× | 41.3% | Neutral | 27 | Downtrend | None | Neutral | -40.0% | — | 0.5× | |
| SBILIFE | Nifty Financial Services | 1,721.6 | 2 | ₹44,103 | SS | 5 | 1.16× | 63.8% | Distrib | 40 | Consolidating | None | Accumulation | -18.4% | — | 3.0× | |
| SBIN | Nifty PSU Bank | 954.1 | 1 | ₹26,491 | - | 0 | 0.51× | 50.7% | Distrib | 30 | Downtrend | Bull U | Neutral | -22.3% | — | 0.8× | |
| SHRIRAMFIN | Nifty Financial Services | 945.0 | 1 | ₹26,481 | - | 0 | 0.55× | 63.5% | Strong Distrib | 38 | Downtrend | Bull U | Neutral | -17.2% | — | 1.2× |
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 →