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ERA
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Indian Stock Intelligence

Damodaran-grade equity valuation for 2,364 NSE stocks.
DCF · DDM · EV/EBITDA · P/E · P/B — step-by-step agentic analysis.

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Frequently Asked Questions

ERA (Equity Research & Analysis) is a local Indian stock market intelligence platform. It gives you Damodaran-grade intrinsic value estimates — DCF, DDM, EV/EBITDA, P/B, P/E — for all 2,364 NSE-listed companies, backed by price data going back to 1996.
ERA uses an agentic multi-model approach. It first classifies your company (growth, mature, cyclical, financial, etc.), selects the most appropriate valuation models, runs each model step-by-step with a live chain-of-thought, then applies a sanity check and weighted consensus. All inputs are pulled from Screener.in fundamentals and NSE price history stored locally in DuckDB.
Price history comes from NSE Bhavcopy archives (1996–2024) topped up via yfinance for recent months. Fundamentals (revenue, EPS, cash flows, balance sheet) are scraped from Screener.in and stored locally. No data is sent externally — everything runs on your machine.
Run python3 india_market.py --fill-gap periodically to pull the latest prices. For fundamental data, run --enrich-gaps after quarterly results season. The dashboard shows a banner when price data is more than 3 days stale.
No. ERA is a research and analysis tool. The intrinsic value estimates are quantitative models based on historical data and analyst assumptions — they are starting points for your own due diligence, not financial advice. Always do your own research before investing.
ERA Intelligence is an AI-powered analyst powered by Claude. Once you load a stock, ERA automatically synthesizes price trends, EPS trajectory, sector comparison, shareholding changes, and recent news into a structured equity note — in seconds. You can also ask follow-up questions in the chat.
All 2,364 NSE-listed equity stocks as of the latest EQUITY_L.csv from NSE. Fundamentals are available for ~2,360 companies via Screener.in. A small number of micro-caps and recently listed companies may have limited or no fundamental data.
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Why is Ke this value? How does this model work? What drives intrinsic value here? Explain the terminal growth assumption Why is ERR calculated this way?

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