Institutional prints00 symbols in range
NSE + BSE disclosed prints
NSE & BSE Bulk Deals Scanner
Market snapshot7 day analysis
Buy-side value₹0.0 Kdisclosed accumulation
Sell-side value₹0.0 Kdisclosed distribution
Net institutional flow₹0.0 Kavg conviction 0.0
All PrintsEvery disclosed institutional print in range
NSE + BSEExchange-disclosed bulk prints · conviction model v2
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Smart Money Tracking
Track FII, DII, and institutional buying patterns in real-time.
Accumulation Signals
Identify stocks with repeated buying by smart money investors.
Client Analysis
Analyze trading patterns by client type — mutual funds, insurance, PMS.
Institutional Activity
Monitor large bulk deals from FIIs, DIIs, mutual funds and insurance desks.
Signal anatomyHow to read the institutional footprint
Educational analytics · not investment adviceRead the tape
Every disclosed NSE/BSE bulk print lands with client name, side, quantity and price — the raw institutional footprint.
Rank by conviction
The model scores value percentile, repeat behaviour, participant weight and symbol flow bias into one 5–99 conviction score.
Follow persistence
One print is noise. Repeat prints by the same desk in the same symbol are the accumulation or distribution signal.
Read the regime
Crowded-long, crowded-short and volatile regimes describe how positioned the crowd already is, which changes how the same print reads.
Screener methodology
NSE and BSE bulk deals: what the radar tracks
Bulk deals are the large trades the exchanges disclose each day with the client's name. This scanner lists the NSE and BSE bulk deals for any date range and enriches every print with a participant type, an event tag, a multi-factor conviction score, repeat-print tracking and a symbol flow bias, so you can go from the raw disclosure to a ranked, explainable list in seconds. A single print says little; the same institutional desk printing repeatedly across sessions says more. New to the data? Read our guide to bulk deals and block deals.
16 deal viewsClient-level trackingConviction scoringNSE + BSE data
Participant taxonomy
Client names are classified into FII, DII, mutual fund, insurance, PMS/AIF, promoter and prop desks, because a ₹50 Cr print means something very different from LIC than from a prop book.
Event taxonomy
Prints are tagged accumulation, distribution, repeat flow, block activity (₹10 Cr+) or high conviction (top value decile) so the table can be screened by event quality, not just size.
Conviction model
Score = 45% value percentile + repeat prints (up to 30) + symbol flow strength (up to 18) + participant weight + event weight, clamped to 5–99 and graded A+ to C.
Risk framework
Each print carries a regime read: normal, crowded long, crowded short or volatile. A high-conviction print in a crowded regime reads differently from one in a normal regime.
How to read the tableWhat the most important columns mean
Repeat prints from institutional desks in buy-dominant symbols carry the most weight in the conviction score. Read them alongside chart structure, liquidity and company announcements.
ClientExchange-disclosed client name behind the print.
ParticipantInstitutional class of the client — FII, DII, mutual fund, insurance, PMS/AIF, promoter and more.
EventAccumulation, distribution, repeat flow, block print or high conviction tag.
Deal ValueQuantity × average trade price with a bar showing relative size in this screen.
ConvictionA+ to C grade chip over the 5–99 multi-factor score with a progress bar.
RepeatsHow many times this exact client printed in this symbol within the range.
Symbol BiasNet flow direction of the symbol: buy dominant, sell dominant or balanced.
Risk RegimeNormal, crowded long, crowded short or volatile context for the print.
ChartOpens the print modal with a TradingView chart and the full print breakdown.
Market noteBulk deal disclosures arrive after execution, so they show what happened, not live orders. Client classification is heuristic and risk regimes describe positioning, not outcomes. Related reading: insider trading disclosures, FII and DII data and participant-wise data.