gimli screener
Screening workflow

Why traditional stock screeners miss recent market moves

Why static stock screeners struggle with event-style questions like fresh crossovers, recent breakouts, new highs, and theme momentum.

statechangefollow-up

Static filters are not enough

Most stock screeners are excellent for conditions that are true right now: PE below 20, ROE above 15, price above 200DMA. They are weaker for questions about what changed recently: crossed above 50DMA, broke out this week, recovered from lows, or theme momentum improved.

Markets are event-driven

A useful screen often needs time context. The same stock above 50DMA today can mean different things depending on whether it crossed yesterday, crossed 40 days ago, or has been above it for months. Event-style screening asks for the change, not just the state.

How Gimli approaches it

Gimli is built around natural-language screening and follow-ups. You can ask for recent events, add constraints, view industry breakup, and refine the same universe instead of manually rebuilding filters from scratch.

How to ask Gimli

Use a direct screening prompt, then refine the result with follow-ups such as adding market cap, sorting by returns, excluding sectors, or checking the industry breakup.

Find stocks showing fresh action using the latest available NSE data

Fresh examples from Gimli data

These rows are pulled from the latest available Gimli database snapshots when the page loads. They are examples for learning, not recommendations.

SymbolRet 1W PctRet 1M PctVolume Vs 20DTurnover Cr
LANDMARK26.5925.650.6286.31
DPABHUSHAN23.5056.208.01218.80
BECTORFOOD23.3210.387.691,791.99
TATVA23.1643.5314.93564.45
DYCL20.5621.5110.76885.16

Key takeaways