--- title: "Alternative Data in Indian Markets | RupeeCase Learn" description: "What alternative data actually exists for Indian equity markets, what's accessible, what's institutional-only, and how to evaluate alt data edge." source_url: "https://www.rupeecase.com/learn/path-5/module-5-4-alternative-data-india" --- [Path 05 4 of 5](/learn/path-5/)Alternative Data in Indian Markets[Next 5.5](/learn/path-5/module-5-5-out-of-sample-strategies) Alternative data means any source beyond financial statements and price and volume. In the US the market for it is mature: satellite images of car parks, card transaction panels, web traffic, job postings, all sold by specialist vendors. In India the ecosystem is younger, and shaped by different data, different regulation and a different economy. My view after years of looking at this: the most useful alternative data in India is not the expensive kind. It is the structured disclosure data that [SEBI](/learn/glossary#sebi) already requires companies to file and that NSE and BSE publish for free, which most investors never read. Here is what exists, what it costs, and how to test whether any source has an edge worth chasing. 21 days Shareholding pattern filed after quarter end SEBI listing regulations 7 working days Promoter pledge disclosure after it is created SEBI takeover regulations 2 trading days Insider trade disclosure, trades over ₹10 lakh a quarter SEBI insider trading regulations ₹25 crore Minimum block deal order SEBI circular, 8 Oct 2025 The data is public. The attention is scarce. That gap is where most of India's free alternative data edge sits. How long after the event each disclosure can arrive 1. Annual audited results, days**60** 2. Annual audited results, days**60** 3. Annual audited results, days**60** 4. Annual audited results, days**60** 5. Annual audited results, days**60** Maximum disclosure periods under SEBI's insider trading, takeover and listing regulations, as of Oct 2026. Bulk and block deals are published by the exchanges the same day. 1. **Paper trade**Months of live data before any real capital. 2. **Paper trade**Months of live data before any real capital. 3. **Paper trade**Months of live data before any real capital. 4. **Paper trade**Months of live data before any real capital. 5. **Paper trade**Months of live data before any real capital. A sensible alternative data pipeline. Step 4 kills most ideas, and step 2 is where most look ahead errors hide. ## The Indian alt data landscape Corporate filings and disclosures Mandatory filings on NSE and BSE: board meeting outcomes, pledge changes, related party transactions, order wins, capex announcements, auditor changes. Structured, timestamped and directly relevant. Rising promoter pledges have preceded several well known Indian corporate failures, which makes this the first source to learn. FREE Earnings call text Listed companies publish earnings call transcripts within five working days under SEBI's listing rules. They can be read for tone, hedging language and whether management guidance matches later delivery. Moderate effort: many are PDFs that need extraction. FREE Government macro releases MOSPI publishes industrial production and GDP, RBI publishes bank credit, deposit and payment system data, and the GST system publishes monthly e-way bill counts, a proxy for goods movement. Free, official, timely enough to matter for sectors. FREE Search and social sentiment Search interest and social media chatter about stocks. Some short horizon value in US studies. In India, retail stock chatter is heavily polluted by pump schemes and forwarded tips, which SEBI has repeatedly acted against. Use with great caution and very short horizons, if at all. LIMITED Satellite imagery Counting vehicles, tracking construction, measuring crop area. Useful for ports, mines, large plants and agriculture. Expensive, and much less useful for a typical Indian mid cap whose operations are spread across contract manufacturers. Institutional budgets only. INSTITUTIONAL Payments and spend data Aggregated card and UPI spend can lead consumer company revenues. In India most digital spend runs on UPI, which is bank to bank, and granular merchant level data is not openly available. Card panels alone miss most spending. Promising, still immature. INSTITUTIONAL Job postings Hiring activity as a lead indicator of expansion, most useful in IT services where headcount drives revenue. Structured feeds are commercial; scraping raises terms of use questions. Moderate edge, moderate cost. PARTIAL ## The underused free signal: promoter pledging Of everything available in India, **promoter share pledging** is the most underused relative to what it tells you. Promoters pledge shares to raise loans. A rising pledge says the promoter needs cash and cannot or will not sell equity. High pledges, often above 30% to 40% of the promoter's holding, have preceded several of India's best known corporate collapses, in housing finance, consumer goods and infrastructure. ### Worked example: how a pledge turns into forced selling A promoter owns 60% of a company whose shares trade at ₹500. They pledge half their stake, 30% of the company, against a loan at a 50% loan to value ratio. For every ₹100 of shares pledged, they borrow ₹50. | Share price | Value of ₹100 of pledged shares | Loan | Loan to value | What happens | | --- | --- | --- | --- | --- | | ₹500 | ₹100 | ₹50 | 50% | Comfortable | | ₹400, down 20% | ₹80 | ₹50 | 62.5% | Lender asks for more collateral | | ₹350, down 30% | ₹70 | ₹50 | 71.4% | Margin call; promoter must pay or pledge more | | ₹300, down 40% | ₹60 | ₹50 | 83.3% | Lender may sell pledged shares in the market | Illustration. Actual loan terms and margin triggers vary by lender. The last row is the danger. Lender selling pushes the price down, which triggers more margin calls, which forces more selling. A 30% fall can become 60% for reasons that have nothing to do with the business. A screen that excludes companies with high or rising promoter pledges removes much of this tail risk, using data that costs nothing. The best alternative data for most systematic investors in India is not exotic. It is the structured disclosure data that NSE and BSE already publish: pledge changes, shareholding patterns, board changes, bulk and block deals. Free, machine readable and, with care, informative. 1. Within 21 days of quarter end**Shareholding pattern filed**The full quarterly picture, including pledged shares. 2. Within 21 days of quarter end**Shareholding pattern filed**The full quarterly picture, including pledged shares. 3. Within 21 days of quarter end**Shareholding pattern filed**The full quarterly picture, including pledged shares. 4. Within 21 days of quarter end**Shareholding pattern filed**The full quarterly picture, including pledged shares. 5. Within 21 days of quarter end**Shareholding pattern filed**The full quarterly picture, including pledged shares. Your signal can only start on the disclosure date. Back tests that use the event date are looking ahead. ## Three free Indian alt data signals worth tracking **1. Shareholding pattern, quarterly.** Every listed company files its shareholding pattern within 21 days of quarter end, in a SEBI prescribed format: promoter, foreign institutional, domestic institutional and public holdings, and shareholders above 1%. Two patterns are worth watching. Rising institutional ownership in a quality company with a stable promoter stake is a positive sign. A falling promoter stake together with a rising pledged share is the strongest distress signal in public Indian data. **2. Bulk and block deals, daily.** A bulk deal is a client's trades in a stock totalling more than 0.5% of its listed shares in a day; exchanges publish them the same evening. Block deals are large negotiated trades in a separate window; since SEBI's circular of 8 October 2025 the minimum order is ₹25 crore, within 3% of the reference price, with same day disclosure. A buyer who keeps appearing in the same stock across quarters is telling you something about conviction. **3. Insider trades, event driven.** Under SEBI's insider trading regulations, promoters, directors and designated employees must disclose trades worth more than ₹10 lakh in a calendar quarter within 2 trading days. Clusters of buying by several insiders in a short window have been studied as a positive signal. Insider selling is noisier; it can be tax planning or personal liquidity. ## How to evaluate whether alt data has genuine edge Every source should pass four tests before you build on it: * **Is there an economic reason?** Why should this predict returns? Without a plausible mechanism, a good back test is probably noise. * **Was it available at decision time?** Use the filing timestamp, not the event date. A pledge created on the 1st and disclosed on the 9th can only be traded from the 9th. * **Does the edge survive costs?** Many alternative signals decay within days. Fast signals mean frequent trading, and STT, charges and impact eat short edges first. * **Will it persist?** Easy to get signals get crowded fast. The edge in public data lasts only while it stays tedious to assemble. ### Worked example: is the signal real? The standard yardstick is the information coefficient: each month, the rank correlation between your signal and the next month's returns across stocks. Say a pledge change signal shows an average monthly IC of 0.03 with a standard deviation of 0.10 over 60 months. Its t statistic is 0.03 / (0.10 / √60) ≈ 2.3. Promising, not proven, and if you tried ten variants of the signal to find it, not even promising yet. Module 5.1 explains why. ## What does not work as alt data in India yet Two kinds of data that work in the US disappoint in India, because the underlying economy is different. **Card transaction panels.** In the US, deep card databases feed consumer research. India runs on UPI and cash. Aggregate UPI volumes are published monthly, but merchant level detail is not available to outsiders, and card data alone misses most spending. **Satellite views of factories and shops.** These work where companies operate from a few identifiable sites. Indian manufacturing is often spread across contract partners and shared facilities, so the signal for a typical mid cap is weak. Satellite works for ports, airports, mines and a handful of large integrated plants, not for the broad market. **Myth**Alternative data has to be exotic and expensive to have an edge. **Fact**In India the most useful alternative data is often free: pledges, shareholding patterns, insider trades and bulk deals, published by NSE and BSE under SEBI rules. ## Common mistake: paying for novelty The common mistake is buying data because it sounds advanced. An expensive feed with a beautiful dashboard is still worthless if its information coefficient is zero after costs. Ask any vendor for an out of sample test on dates you choose, with the data as it was available on each day. Most cannot provide it. The second mistake is the opposite: ignoring free data because it looks boring. The quarterly shareholding file and the daily pledge disclosures will never appear in a pitch deck. They have explained more Indian blow ups than any satellite. ## How this shows up in RupeeCase Alternative data and RupeeCase Today's RupeeCase strategies rank stocks on price based momentum composites built from NSE BhavCopy prices; they do not use alternative data. That is a deliberate choice: price data is clean, timestamped and the same for everyone, which makes every rebalance auditable. The analysis and research module RupeeCase is building for qualified investors and institutions will bring disclosure based research of the kind described here. Until then, the methodology of every strategy is on its page, for example [Smallcap](/strategies/smallcap), where pledge and governance risk matter most. ## Questions readers ask Where can I see promoter pledge data for free?On the NSE and BSE websites, under each company's corporate filings: the quarterly shareholding pattern shows pledged shares, and pledge creations and releases are disclosed as they happen. Is a high promoter pledge always bad?Not always; some promoters pledge for growth capital. But a high pledge adds a forced selling risk that has nothing to do with the business, and a rising pledge during a falling share price is a clear warning. Is it legal to scrape data for investing?Public exchange disclosures are meant to be read and used. Scraping private websites can breach their terms of use. And trading on unpublished price sensitive information is insider trading under SEBI rules, whatever the source. What does Alternative Data in Indian Markets cover?What alternative data actually exists for Indian equities, what's genuinely accessible, what requires institutional budgets, and the one category of free alt data that serious systematic investors should already be using. It works through The Indian alt data landscape, The underused free signal: promoter pledging, Three free Indian alt data signals worth tracking, How to evaluate whether alt data has genuine edge and more. It is module 5.4 of Path 5, Advanced Quant Methods, about 9 minutes of reading, free. TTry it ## Alternative Data in Indian Markets, in numbers. How meaningful is a single bulk-deal in NSE published data Your numbers, the module's formula, nothing stored. Calculator ### Bulk Deal Significance Classifier NSE publishes bulk deals (single trade above 0.5% of equity) every trading day. Reading them as a signal needs context on size relative to ADV and free float. Bulk deal value (INR cr)Stock 30-day ADV (INR cr)Free float market cap (INR cr)SideBuySell AApply it on RupeeCase ## 5Paisa Focused Alpha 5 Five stocks, three-week rotation. The most concentrated card on the lineup. An index built on the rules this path teaches, concentrated momentum book, highest octane on the lineup, held stock by stock in your own demat. Risk band: Very High. [See the strategy](/strategies/5paisa-focused-alpha-5)[Sign up for RupeeCase](https://invest.rupeecase.com/signup?strategy=5paisa-focused-alpha-5) [CAGR54.1%Sharpe1.60Max DD−24.2%Minimum22000Model, back tested, as of 27 Apr 2026. Not client returns, not a promise.](/strategies/5paisa-focused-alpha-5) QQuick check ## 10 questions, 7 to pass. Pick an answer and the explanation appears. Your result stays on this device and counts towards the Path 05 certificate. CCheck yourself ## Path 05 so far. Your quick check results on this device, stop by stop. 1. [TPath test, 24 questionsNot yet](/learn/path-5/module-5-5-out-of-sample-strategies#pathTestSection) 2. [TPath test, 24 questionsNot yet](/learn/path-5/module-5-5-out-of-sample-strategies#pathTestSection) 3. [TPath test, 24 questionsNot yet](/learn/path-5/module-5-5-out-of-sample-strategies#pathTestSection) 4. [TPath test, 24 questionsNot yet](/learn/path-5/module-5-5-out-of-sample-strategies#pathTestSection) 5. [TPath test, 24 questionsNot yet](/learn/path-5/module-5-5-out-of-sample-strategies#pathTestSection) 6. [TPath test, 24 questionsNot yet](/learn/path-5/module-5-5-out-of-sample-strategies#pathTestSection) Explore next ## Put the module to work. * [Strategy5Paisa Focused Alpha 5 strategyNifty Alpha 50, 5 stocks, every 3 weeks](/strategies/5paisa-focused-alpha-5) * [Free module 5.5Building Strategies That Survive Out-of-Sample9 min read](/learn/path-5/module-5-5-out-of-sample-strategies) * [Learn guideSystematic Investing in India: RulesA pillar guide across the paths](/learn/systematic-investing) Community ## Join my WhatsApp group. Scan the code, fillFill one short form, and join my WhatsApp group. Slides, sources, factsheets and the rebalance logs live there, and members join a daily Google Meet with me. [Sign up for RupeeCase](https://invest.rupeecase.com/signup) [Join the WhatsApp group](https://forms.gle/C6HMtM1Z2GfeocQV7) [One form, one group](https://forms.gle/C6HMtM1Z2GfeocQV7)Scan with your phone camera SSources ## Where the figures come from. 1. [NSE and BSE corporate filings: shareholding patterns, pledges, bulk and block deals](https://www.nseindia.com/companies-listing/corporate-filings-shareholding-pattern) 2. [NSE and BSE corporate filings: shareholding patterns, pledges, bulk and block deals](https://www.nseindia.com/companies-listing/corporate-filings-shareholding-pattern) 3. [NSE and BSE corporate filings: shareholding patterns, pledges, bulk and block deals](https://www.nseindia.com/companies-listing/corporate-filings-shareholding-pattern) 4. [NSE and BSE corporate filings: shareholding patterns, pledges, bulk and block deals](https://www.nseindia.com/companies-listing/corporate-filings-shareholding-pattern) GTerms ## 4 terms from this module. Alternative dataAny data source beyond standard financial statements and price/volume history, satellite imagery, credit card data, web sentiment, corporate filings, job postings. Promoter pledgingThe fraction of promoter-held shares pledged as collateral for loans. High pledging is a financial stress signal, BSE/NSE publish this data quarterly for all listed companies. Look-ahead biasUsing data in a backtest that would not have been available at the actual signal date. A common error with alt data that makes backtests look better than live performance. Signal decayThe loss of predictive power of a signal as more participants discover and act on it. Alt data signals typically decay faster than fundamental factor signals. [All 91 terms in the glossary](/learn/glossary) [From the podcast archiveEP34: Buy On Dips, 7 May, Sensex ExpiryThe Tanmay Edge, 7 May 2026, graded 5/5](/podcast/episodes/2026-05-07)[Pillar guideSystematic Investing18 modules across paths 2, 3, 5](/learn/systematic-investing) Education only, not investment advice. RupeeCase is a technology platform operated by QC Alpha Technologies Pvt Ltd; it is not a fund, a PMS or a SEBI registered investment adviser. Model returns are back tested and not a promise of future returns. Figures carry the date they were checked.