Resources
A person I learned a great deal from, and the data sources worth bookmarking, with a few lines on what each is good for.
Shyam Sunder and StockViz
I first came across Shyam's website sometime around 2018. It was very early days in my market journey, and I've learned a spectacular amount since, a ton of it from his blog posts on stockviz.biz, his Substack and his tweets. I highly recommend following him.
He has also built an MCP server you can use to build your own portfolios, and he has graciously shared a bunch of other tools openly. Check them out below, subscribe to his newsletter and follow him on Twitter at @ShyamNation.
- StockViz on Substack stockviz.substack.com
- Shyam's newsletter: notes on Indian and global markets, quant strategy research, and the announcements for every tool he releases. Subscribe here.
- stockviz.biz stockviz.biz
- The original StockViz site, with more than a decade of blog posts on Indian markets, factor strategies and backtests. Much of what I know about testing an idea properly started here.
- @ShyamNation x.com
- Shyam on Twitter. Charts, short takes and links to everything new on StockViz.
- The StockViz MCP server stockviz.substack.com
- Connect an AI assistant to StockViz's data: total-return indices, mutual fund NAVs and AMFI statistics, and his published strategies with their backtests. Ask it to compare funds or put a portfolio together from the strategies. The post shows how to connect it.
- MCP tool samples github.com
- The 30 tools the server offers, from AMFI flows and AUM rankings to NAV metrics and backtest comparisons, each with sample prompts to start from.
- The StockViz dashboard as an MCP stockviz.substack.com
- Everything on the StockViz markets dashboard, available through the MCP server and a command-line tool, so you never have to scrape the site.
- The StockViz downloader for AI agents stockviz.substack.com
- A tool you add to an AI agent so it downloads complete price series and keeps them on your machine, for when an MCP server hands data back a page at a time.
- StockViz tools on GitHub github.com
- The code and documentation for the MCP client and the samples above.
Indian data
- RBI DBIE data.rbi.org.in
- The Reserve Bank's Database on Indian Economy. Money supply, bank credit by sector, interest rates, forex reserves, the balance of payments, government finances and the Handbook of Statistics on the Indian Economy. The interface is clunky, but almost everything about money and banking in India is in here. Tipsheet reads it.
- NSE Indices niftyindices.com
- NSE's index company. Daily history for every Nifty index, from the Nifty 50 to the factor and thematic ones, in both price and total-return versions, with P/E, P/B and dividend yield, factsheets and methodology papers. Compare a fund with the total-return index, never the price index. Tipsheet reads it.
- NSE reports nseindia.com
- The daily files behind the market: bhavcopies, delivery volumes, bulk and block deals, F&O open interest by type of trader and FII derivative positions. Plain CSVs, posted every evening, with archives going back years. Tipsheet reads it.
- BSE bseindia.com
- Sensex history, corporate announcements, results and shareholding patterns. Thousands of smaller companies list only on BSE, so for them this is the only exchange source. Tipsheet reads it.
- AMFI amfiindia.com
- The mutual fund industry body. Daily NAVs for every scheme, monthly inflows and assets by category, SIP numbers and the scheme classification. If you want to know where Indian savings are going each month, start here. Tipsheet reads it.
- NSDL FPI data fpi.nsdl.co.in
- What foreign investors are buying and selling: daily net investment in Indian equity and debt, and their holdings by sector every fortnight. The official source behind every "FIIs sold today" headline. Tipsheet reads it.
- MoSPI eSankhyiki esankhyiki.mospi.gov.in
- The statistics ministry's data portal: CPI inflation, industrial production, GDP and the national accounts, the PLFS jobs surveys and more, with downloads and an API. Release dates are on mospi.gov.in. Tipsheet reads it.
- MoSPI MCP server datainnovation.mospi.gov.in
- MoSPI's own connection for AI assistants, launched as a beta in February 2026. It covers seven datasets, including PLFS, CPI, IIP and the national accounts, so you can ask questions of official data in plain language instead of digging through tables.
- India Data Hub indiadatahub.com
- A private platform that gathers thousands of Indian economic series, scattered across ministries, regulators and industry bodies, into one searchable place with charts and an API. A commercial service, so check what your plan covers. Tipsheet reads it.
- Open Government Data data.gov.in
- The government's open data portal, with tens of thousands of datasets from ministries, states and departments, many with APIs. Quality and freshness vary a lot from one dataset to the next, so check the date before you trust a number.
Global data
- FRED fred.stlouisfed.org
- The St. Louis Fed's database: hundreds of thousands of series, from US yields and inflation to oil, the dollar and many Indian series, all free, with good charts and a free API. The best place to start for anything global. Tipsheet reads it.
- BIS data portal data.bis.org
- The Bank for International Settlements, the central banks' central bank. Credit to households and companies, credit-to-GDP gaps, debt service ratios, house prices, effective exchange rates and cross-border banking, comparable across countries over decades. Tipsheet reads it.
- IMF data data.imf.org
- The World Economic Outlook forecasts twice a year, the balance of payments, government finances, and the currency make-up of the world's foreign exchange reserves. Where most cross-country macro comparisons start. Tipsheet reads it.
- World Bank data data.worldbank.org
- The World Development Indicators: about 1,400 series for more than 200 economies, many going back to 1960, from GDP and trade to health, education and poverty. Free, with an API. Tipsheet reads it.
- Our World in Data ourworldindata.org
- Charts and clean datasets on long-run changes in living conditions, from poverty and health to energy and the economy. Every chart can be downloaded with its sources and is free to reuse under a Creative Commons licence.
MCP (Model Context Protocol) is a standard way to plug a data source into an AI assistant such as Claude or ChatGPT, so it can fetch the numbers itself when you ask a question. Links go to outside sites; I don't control them, and none of them pays to be here.