Buy vs Sell — daily volume (₹)
Transaction split
Top 10 symbols — by trade value
Top 10 buyers (net)
By person category
| ★ | Date | Symbol | Company | Acquirer | Category | Type | Acq. Mode | Shares | Value (₹) | Post % |
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Preferential Issues
Top 15 issues by amount raised
By stage
| ★ | Date | Stage | Symbol | Company | Allottee / Description | Amount (₹) | Offer Price | Shares | Allotment | Listing |
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| ★ | Date | Scrip | Company | Stage | Description |
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| ★ | Date | Scrip | Company | Subject | Description |
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| ★ | Date | Scrip | Company | Subject | Description |
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Qualified Institutional Placements
QIPs are fund-raises sold only to institutional buyers (mutual funds, FIIs, insurers). In-Principle = approved & upcoming; Listing Stage = completed, with the final issue price institutions actually paid — a useful reference level for the stock. Click any row for full details — floor price, discount, bid window, approvals and more.
| Date | Stage | Symbol | Company | Issue Price (₹) | Issue Size | Allottees | Listing |
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Rights Issues
Rights issues let existing shareholders buy new shares at a set price, in proportion to their holding (the ratio). In-Principle = approved & upcoming; Listing Stage = completed. Click any row for full details — record date, issue window, entitlement trading dates and more.
| Date | Stage | Symbol | Company | Offer Price (₹) | Ratio | Amount | Record Date |
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Bulk & Block Deals
Bulk deals are trades where a single client buys or sells more than 0.5% of a company's listed shares in one day — the exchange publishes the client's name the same evening. Block deals are single negotiated trades of at least ₹10 crore executed in the exchange's block window, so they show big institutional entries and exits in one line. Each row is one client's net position for that day, so the same scrip can appear with both a buyer and a seller. Prices are the weighted-average traded price NSE reports.
Top scrips by deal value (₹)
Buy vs Sell value
| Date | Type | Symbol | Company | Client | Side | Quantity | Price (₹) | Value |
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Quick dashboard view for opportunity
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| Stock | Source | Status | Score | RS | vs buy price | Price | ₹ Cr in | RSI | 50 / 200 | Latest |
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| Buyer | Type | Stocks | Which | ₹ Cr |
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Sources (inside the chosen window): Block / Bulk = buy-side deals, excluding algo desks and same-day round trips · Insider buy = promoter, director or KMP open-market purchases · Preferential, Open offer, Buyback = exchange announcements · QIP = QIP filings · Order win = new orders from the Order Book Tracker · MF buying = 5+ mutual-fund schemes adding the stock in the latest monthly portfolios, twice as many buying as selling, and either 0.25%+ of the company bought or a 3-month buying streak (monthly data, so on 1D–7D it only tags stocks already listed). Score /100: conviction 35 (more sources, more separate institutions, insider money of ₹1 Cr+) + entry 25 (live price within 10% below to 5% above what deal buyers or insiders paid; neutral when there is no price to compare) + trend 25 (above 200-day and 50-day, RSI 40–70) + RS 15. Status: Below buy price = more than 10% under · Extended = more than 15% over · Strong setup = score ≥ 65 with 2+ sources, 2+ institutions or ₹1 Cr+ insider money · Watch = score ≥ 50. Prices, averages, RSI and returns come live from TradingView (cached 5 min). Buyer types are read from client names. A shortlist to research, not investment advice.
Order Book Tracker
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⚠ Important: AI-extracted from NSE filings, may contain errors. Verify against the source PDF.
Top order-book gainers
| Filed | Company | Value ₹ Cr | % of book | % of revenue | Client | Segment | What it is | Execution | Filing |
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| Filed | Company | Month | Headline | Key numbers (YoY) | Filing |
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MF Holdings
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| Stock | Net ₹ Cr | Monthly trend | Funds buying vs selling | Holding | Size |
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Mutual fund buying and selling by month
Net buying by sector (₹ Cr)
| Change | Scheme | Stock | % of AUM | % prev month | Shares | Shares prev |
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Most popular stocks
Number of schemes that newly added the stock this month
Least popular stocks
Number of schemes that fully exited the stock this month
Source: each fund house's own SEBI monthly portfolio disclosure (links via AMFI). Buying/selling = change in shares held by the covered schemes × that month's price in the fund's own file; splits and bonus issues are excluded. A fund house is only compared for months where both its files are available. Not investment advice.
Money Flow
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Where the money is going
Sector money flow
Foreign investors (FPI) — net buying by month
Foreign vs domestic institutions
Big-money moves
Sources: NSE (daily FII/DII cash-market net), NSDL (daily FPI equity flows, and fortnightly FPI equity investment by sector), bulk / block deal disclosures (named institutions), and the MF Holdings data on this site (13 largest fund houses' monthly portfolios). Mutual fund stocks are grouped into NSDL's sectors using each stock's TradingView industry. Not investment advice.
User guide
What each section of Trackcat shows, in plain words — and how to use it. Tap a section to open it.
New here? Start like this
- 💰 Money Flow — see which sectors big money is moving into.
- ⚡ Opportunities — open the Strong setup stocks; each one tells you why it is listed.
- Click a stock for details, then TV ↗ to check its chart.
- Tap ☆ to save the ones you like to ★ Favorites.
⚡OpportunitiesYour shortlist — every stock that had a meaningful event recently, all in one ranked list.
Why it matters
Instead of checking 10 tabs one by one, this puts every signal together and scores each stock out of 100. A stock that shows up in several places at once (say, a big fund bought it and its promoter bought more) is usually worth a closer look.
How to use it
Pick a time window (1D, 3D, 7D, 30D). Start with Strong setup. Click a stock to see why it is there — who bought, at what price, what was announced. Use the TV ↗ link to open its chart.
Example
SEDEMAC shows Block + Bulk + MF buying: big investors bought shares in bulk deals, and 21 mutual fund schemes added it last month. Three different signals agreeing.
👤Insider TradingWhen the people who run a company — promoters, directors, top managers — buy or sell its shares.
Why it matters
Insiders know their business best. When they spend their own money buying shares from the open market, it often signals confidence. Selling is less clear (people sell for many personal reasons).
How to use it
Filter by Buy and Market Purchase to see insiders buying with their own money. Bigger amounts and repeat buying matter more.
Example
A promoter buying ₹5 Cr of shares from the market over a week.
🎟️Preferential IssuesA company sells new shares directly to chosen investors (often promoters or big funds) instead of on the stock market.
Why it matters
Someone is putting fresh money into the company at a fixed price. If promoters or well-known funds are the buyers, it shows confidence. But new shares also mean existing holders own a slightly smaller slice (dilution).
How to use it
Look at who is buying and the price versus today's market price. A price near or above the market price is a stronger sign than a big discount.
Example
A company issues 10 lakh shares at ₹500 to its promoter group while the stock trades at ₹480.
✂️Demergers / SpinoffsA company splits a business into a separate listed company.
Why it matters
Hidden value can show up when a business gets its own share price. Shareholders usually get shares of the new company for free.
How to use it
Check the record date (who gets the new shares) and the ratio. Read what each part of the business does.
Example
A conglomerate lists its finance arm separately; holders get 1 new share for every 4 they own.
🎯Open OffersSomeone who is buying a big stake in a company must offer to buy shares from all other shareholders at a fixed price.
Why it matters
It often means a new owner or a bigger owner is coming in. The offer price acts like a reference price for the stock.
How to use it
Compare the offer price with today's price, and see who the buyer is.
Example
A buyer acquires 26% of a company and offers ₹250 per share to everyone else.
🔁Buy BacksThe company buys back its own shares from shareholders, usually at a premium.
Why it matters
The company is saying its shares are good value. Fewer shares also means each remaining share owns a bit more of the profits.
How to use it
Note the buyback price versus today's price, and whether it is a tender offer (you apply) or open-market purchases.
Example
A company announces a buyback at ₹1,500 while the stock trades at ₹1,300.
🏦QIPQualified Institutional Placement — a fast way for a listed company to raise money by selling new shares to big institutions.
Why it matters
Large institutions are paying a set price for fresh shares. The issue price becomes a reference point; the money raised usually funds growth or reduces debt.
How to use it
Look at the issue size and price, and what the money will be used for.
Example
A company raises ₹2,000 Cr at ₹850 per share from mutual funds and foreign funds.
📄RightsExisting shareholders get the right to buy new shares, usually at a discount, in proportion to what they already hold.
Why it matters
It is a way to raise money from current owners. You can subscribe, sell your rights, or ignore them (ignoring means your share of the company shrinks).
How to use it
Check the ratio, price and dates.
Example
1 new share for every 5 held, at ₹100 when the stock trades at ₹140.
🤝Bulk / Block DealsVery large trades reported by the exchange — a single buyer or seller dealing in 0.5%+ of a company's shares in a day (bulk), or ₹10 Cr+ in one go (block).
Why it matters
These show where big money is moving. A known mutual fund or foreign fund buying in bulk is worth noticing.
How to use it
See who bought or sold. Fund houses and insurers are more meaningful than trading desks.
Example
A mutual fund buys 12 lakh shares of a small company at ₹420 in one day.
📦Order Book TrackerHow much work a company has in hand — the total value of orders it has won but not yet delivered.
Why it matters
For engineering, defence, railway, power-equipment and similar companies, a growing order book is a preview of future sales. Book ÷ revenue tells you how many years of work are already lined up.
How to use it
Look for a rising order book (3M / 6M / 1Y growth) and fresh order wins. Click a company for its history and every filing.
Example
Order book ₹20,000 Cr against yearly sales of ₹3,600 Cr = about 5.5 years of work lined up.
👥MF HoldingsWhat mutual funds bought and sold each month, from the official monthly portfolios of the 13 largest fund houses.
Why it matters
Mutual funds manage huge amounts of Indians' savings. When many different funds start buying the same stock, it often reflects real research conviction.
How to use it
Use Most funds buying and Buying streak. Green bars = funds bought that month. Click a stock to see exactly which schemes bought or sold.
Example
149 schemes bought HDFC Bank last month while 78 cut it; funds were net buyers for 12 months straight.
💰Money FlowWhere money is moving across the whole market — which sectors foreign investors and mutual funds are putting money into or taking out of.
Why it matters
Sectors that keep attracting money tend to do better than sectors money is leaving. When foreign investors and mutual funds both buy a sector, that is a stronger sign.
How to use it
Choose a period (1W–1Y). Read Where the money is going first, then the sector table. Click a sector to see its trend and top stocks.
Example
Healthcare: foreign investors +₹15,800 Cr and mutual funds +₹18,900 Cr over 3 months — both buying.
🔍SignalsAutomatic flags raised by fixed rules on the filings — for example a cluster of insider buying, or a fund exiting in a bulk deal.
Why it matters
Each card says exactly which rule triggered it, so you can judge the signal yourself instead of digging through every tab.
How to use it
Filter by source, read the rule on each card, then open the stock for the underlying filings.
Example
Several directors of the same company bought shares on the open market within a few days.
★FavoritesYour own watchlist — tap the ☆ next to any stock to save it here.
Why it matters
Keep track of the stocks you care about across every tab.
How to use it
Use Export / Import to move your list between devices.
Glossary — common terms
- FII / FPI
- Foreign Institutional / Portfolio Investors — overseas funds investing in Indian shares.
- DII
- Domestic Institutional Investors — Indian mutual funds, insurance companies, banks and pension funds.
- Promoter
- The founders or controlling owners of a company.
- ₹ Cr
- Crore rupees. 1 Cr = 1,00,00,000 (ten million). 100 Cr = 1 billion.
- Market cap
- The total value of all a company's shares (share price × number of shares). Large cap = top 100 companies, Mid cap = 101–250, Small cap = the rest.
- RS rating (1–99)
- How strongly a stock has risen compared with all other NSE stocks over 3, 6 and 12 months. 80+ means it has beaten 80% of stocks.
- RSI
- A 0–100 momentum gauge. 40–70 is healthy; above 70 can mean it ran up fast; below 30 can mean heavily sold.
- 50 / 200-day average
- The stock's average price over the last 50 or 200 trading days. Trading above both is generally an uptrend.
- Net buying
- Bought minus sold. Positive = more money came in than went out.
- Dilution
- When new shares are created, each existing share owns a slightly smaller part of the company.
- Record date
- The date by which you must own shares to get a benefit (dividend, rights, demerger shares).
- Scheme
- One individual mutual fund (e.g. a flexi-cap fund). A fund house runs many schemes.
- TV ↗
- Opens the stock's chart on TradingView in a new tab.
Trackcat organises public exchange filings and fund disclosures. It is a research aid, not investment advice — always do your own checks before investing.
How signals work
These are mechanically generated flags based on public filings only — not investment advice, and not a SEBI Research Analyst recommendation. Each card states the exact rule that triggered it so you can judge it yourself. Insider signals count open-market purchases only (not transfers, allotments or ESOPs); deal signals ignore algo desks and same-day round trips, and include sell-side exits. Signals refresh whenever the underlying data refreshes (Mon–Fri, ~8 AM, ~2 PM and ~7 PM IST).
| Source | Symbol | Company | Who | Amount | Date | Price then → now | Score | Catalyst — what happened & why it matters |
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| ★ | Source | Date | Symbol | Company | Summary | Open |
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