# PatternsRadar blog

> Guides to NSE screening: scan construction, delivery analysis, backtesting discipline, and migrating from other screeners.

Canonical: https://patternsradar.com/blog

- [Candlestick patterns need context](https://patternsradar.com/blog/candlestick-pattern-screener-nse.md) (2026-08-16): Why a raw candlestick scan returns noise, the three context filters that make patterns tradable — location, trend, volume — and NSE scans with each filter built in.
- [Translating Chartink formulas to Sift](https://patternsradar.com/blog/chartink-formulas-to-sift.md) (2026-08-16): How Chartink's offset-comparison formulas map to Sift's event operators — with side-by-side translations of the crossover, the streak, the N-day high and the volume multiple.
- [How to read a scan's hit rate](https://patternsradar.com/blog/how-to-read-scan-hit-rate.md) (2026-08-16): What the 1, 5 and 20-day columns in a hit-rate table actually measure, why hit rate and payoff must be read together, and the three numbers that expose a scan that only looks good.
- [Screen NSE stocks with Claude over MCP](https://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, backtest them in the same conversation, and save the ones that work.
- [The 52-week high strategy on the NSE](https://patternsradar.com/blog/52-week-high-strategy-nse.md) (2026-08-15): The research behind buying stocks at 52-week highs, the overhead-supply logic, the entry variants, and ready-made NSE scans for each — with the failure modes stated plainly.
- [Bollinger band squeeze screener for NSE](https://patternsradar.com/blog/bollinger-band-squeeze-screener.md) (2026-08-15): Why volatility contraction predicts expansion, how to measure a squeeze with band width, the NR7 alternative, and ready-made NSE squeeze scans with the breakout confirmations.
- [Choosing a stock screener: what to look for](https://patternsradar.com/blog/chartink-alternative-with-backtesting.md) (2026-08-15): The five capabilities that separate stock screeners — historical replay, event conditions, delivery data, data depth, and an API — and how to evaluate any screener against them.
- [Delivery percentage explained](https://patternsradar.com/blog/delivery-percentage-explained.md) (2026-08-15): What delivery percentage measures, why it's unique to Indian markets, how to read it against a stock's own baseline, and the scan patterns that turn it into signal.
- [Golden cross and death cross on NSE stocks](https://patternsradar.com/blog/golden-cross-death-cross-nse.md) (2026-08-15): What the 50/200-day crosses actually mark, why they fire late by design, the whipsaw problem in sideways markets, and how to check their hit rate on NSE stocks.
- [How to backtest a stock scan, no code needed](https://patternsradar.com/blog/how-to-backtest-a-stock-scan.md) (2026-08-15): A five-step method for testing any screener scan against history: pick a horizon, replay the signal, read hit rate and payoff separately, and the three biases that fake good results.
- [The Open High Low (OHL) scan for NSE stocks](https://patternsradar.com/blog/open-high-low-scan-nse.md) (2026-08-15): What the OHL strategy actually measures, why open = low is a buy signal, and how to run both sides of it across the NSE — free, on end-of-day data.
- [RSI screener guide for NSE stocks](https://patternsradar.com/blog/rsi-screener-guide.md) (2026-08-15): Why most RSI-below-30 scans return falling knives, the trend filter that fixes them, the RSI levels that matter in trending stocks, and four ready-made NSE scans.
- [A swing trading screener for India](https://patternsradar.com/blog/swing-trading-screener-india.md) (2026-08-15): A working swing-trading screen in three filters: trend, setup, trigger. How to build it for NSE stocks, which scans express each stage, and how to check the screen actually works.
- [Volume breakout screener for Indian stocks](https://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, and three ready-made NSE volume breakout scans you can run and backtest.