# Screening NSE stocks, properly

> Practical guides to screening NSE stocks: breakout and volume scans, delivery percentage, RSI and momentum setups — each with a runnable, backtestable scan attached.

Canonical: https://dev.patternsradar.com/blog

Guides to the setups the scan library is built from — what each one means, when it works, and how to test it before trusting it. Every article ends in a scan you can run.

- [Scans that say "most of the last ten days"](https://dev.patternsradar.com/blog/count-the-bars-scans-for-most-of-the-time.md) (2026-08-29): How count() and countstreak() let a scan ask for seven of the last ten days instead of all ten, with four NSE scans built on them and the limits of both functions.
- [Scanning the candle body, not the close](https://dev.patternsradar.com/blog/scanning-the-candle-body-not-the-close.md) (2026-08-29): Most scans read the close and ignore the rest of the candle. abs(), greatest() and least() in Sift let a scan describe the body: its size against the stock's own norm, and where the whole of it sits. Three ready NSE scans.
- [How to find momentum stocks on the NSE](https://dev.patternsradar.com/blog/momentum-stocks-screener-nse.md) (2026-08-28): The five fields a screener uses to measure momentum, the filters that stop a strength ranking turning into a chase list, and four ready NSE scans.
- [RSI divergence screener for NSE stocks](https://dev.patternsradar.com/blog/rsi-divergence-screener-nse.md) (2026-08-28): What regular bullish and bearish RSI divergence measure, why a single-bar scan has to approximate them with offsets, what that approximation costs, and two ready NSE scans.
- [Stock screening in India: a complete guide](https://dev.patternsradar.com/blog/stock-screening-india-guide.md) (2026-08-28): What a stock screener does and does not do, end-of-day versus realtime, the eight setup families for NSE stocks, why delivery percentage matters here, and how to check a scan before trusting it.
- [Candlestick patterns need context](https://dev.patternsradar.com/blog/candlestick-pattern-screener-nse.md) (2026-08-16): Why a raw candlestick scan returns noise on the NSE, the three context conditions that make a pattern worth looking at, and the scans with each one built in.
- [Translating Chartink formulas to Sift](https://dev.patternsradar.com/blog/chartink-formulas-to-sift.md) (2026-08-16): Side-by-side translations of the four Chartink idioms: the crossover, the streak, the N-day high and the volume multiple, plus what has no equivalent here.
- [How to read a scan's hit rate](https://dev.patternsradar.com/blog/how-to-read-scan-hit-rate.md) (2026-08-16): What the 1, 5 and 20-day columns in the hit-rate panel measure, the two misreadings that flatter bad scans, and what the replay deliberately leaves out.
- [Screen NSE stocks with Claude over MCP](https://dev.patternsradar.com/blog/screen-nse-stocks-with-claude-mcp.md) (2026-08-16): Connect Claude Code or any MCP client to 30 years of NSE end-of-day data: run screener scans in plain English, check them against history in the same conversation, and save the ones that survive.
- [The 52-week high strategy on the NSE](https://dev.patternsradar.com/blog/52-week-high-strategy-nse.md) (2026-08-15): The overhead-supply logic behind buying 52-week highs, three entry variants with the scans that run them, and the three ways the strategy loses money.
- [Bollinger band squeeze screener for NSE](https://dev.patternsradar.com/blog/bollinger-band-squeeze-screener.md) (2026-08-15): How to measure a squeeze with normalised band width, why compression says nothing about direction, the NR7 single-bar version, and the NSE scans for both.
- [Choosing a stock screener: what to look for](https://dev.patternsradar.com/blog/chartink-alternative-with-backtesting.md) (2026-08-15): Five capabilities that separate stock screeners: outcome measurement, event conditions, delivery data, data depth and an API, with what each one is worth.
- [Delivery percentage explained](https://dev.patternsradar.com/blog/delivery-percentage-explained.md) (2026-08-15): What delivery percentage measures, why a fixed threshold like 60% is the wrong way to read it, and the NSE scans built on deviation from a stock's own baseline.
- [Golden cross and death cross on NSE stocks](https://dev.patternsradar.com/blog/golden-cross-death-cross-nse.md) (2026-08-15): What the 50/200-day crosses record, why they fire late by design, the whipsaw tax in sideways markets, and how to check their hit rate on NSE stocks.
- [How to backtest a stock scan, no code needed](https://dev.patternsradar.com/blog/how-to-backtest-a-stock-scan.md) (2026-08-15): A five-step method for testing a screener scan against history, from stating the claim to spotting the three biases that fake a good result.
- [The Open High Low (OHL) scan for NSE stocks](https://dev.patternsradar.com/blog/open-high-low-scan-nse.md) (2026-08-15): What the OHL condition actually measures, why open = low reads as buyer control, and how to run both sides of it across the NSE on end-of-day data, free.
- [RSI screener guide for NSE stocks](https://dev.patternsradar.com/blog/rsi-screener-guide.md) (2026-08-15): Why a bare RSI-below-30 scan returns falling knives, the one condition that fixes it, the RSI levels that matter inside trending stocks, and four ready NSE scans.
- [A swing trading screener for India](https://dev.patternsradar.com/blog/swing-trading-screener-india.md) (2026-08-15): A working swing screen in three layers: trend, setup, trigger. How to build each one for NSE stocks, which presets express them, and how to check the screen against history.
- [Volume breakout screener for Indian stocks](https://dev.patternsradar.com/blog/volume-breakout-screener-india.md) (2026-08-15): Why volume is the one input that can't be faked, what 2× average volume actually implies, three ready NSE volume breakout scans, and the mistakes that make volume screeners useless.

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Price and delivery data from the [eod2](https://github.com/BennyThadikaran/eod2) dataset: National Stock Exchange of India end-of-day files, split- and bonus-adjusted, updated after each close. Not affiliated with or endorsed by NSE. PatternsRadar is a research tool. Nothing here is investment advice or a recommendation to buy or sell anything.
