NSE equities, FY16 to FY26

Ten years of Indian equity history, with every number traceable.

Aurex takes one to five NSE-listed companies, aligns their monthly closes against the Nifty 50, and produces FY-end prices, absolute return, CAGR, monthly risk statistics and beta. The same numbers leave as a workbook with live Excel formulas.

Nifty 50, indexed to 100Monthly closes, March 2016 to March 2026. Growth of ₹100 invested in the benchmark.
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Start from a known company

Selection lives in the URL, so anything you build here can be shared as a link. Pick up to five companies on the analysis page.

What it does and does not do

It does

  • Take the last trading-day close on or before 31 March for each of FY16 to FY26, and keep the actual date used.
  • Build 121 month-end prices from March 2016 to March 2026, then 120 simple monthly returns.
  • Use sample (n-1) variance, standard deviation and covariance, and compute beta from the 120 aligned monthly returns.
  • Recompute every metric in the browser from the stored prices before rendering it.
  • Export a workbook where every statistic is a live formula.

It does not

  • Fetch market data at runtime. The dataset is fixed history, shipped as static files.
  • Recommend, predict, rank, or attach a target price to anything.
  • Compute risk statistics from the 11 FY-end observations.
  • Fill, interpolate or forward-fill a missing observation.
  • Include dividends. Returns are price returns.

Aurex is an analytical and educational tool based on historical data from Yahoo Finance via the unofficial yfinance library, which may contain errors or be revised. Nothing here is investment advice.