Server-rendering a page per stock from a daily snapshot

Rakesh Waghela — Sun, 08 Nov 2026 03:25:03 +0000

I built Ebitta, a free daily stock screener for NSE and BSE, and this is how its pages get served.

Everything starts after each market close. A Python batch job runs inside a Cloudflare container and computes the day's screens: fresh and near breakouts on daily and weekly timeframes, new-listing breakouts, momentum leaders over one week to one year, 52-week highs, delivery-percentage accumulation, and Confluence, which lists stocks that appear in more than one screen.

The batch writes one snapshot into R2 object storage. A Cloudflare Worker then server-renders every page from that snapshot: a page per stock, sector pages, and a page per screen.

After each publish, the site pings IndexNow to notify search engines about the updated URLs.

You can see the result here: https://ebitta.com/confluence?utm_source=devto&utm_medium=community&utm_campaign=launch

Not investment advice; I'm not SEBI-registered.

How I built a free daily stock screener that publishes fresh pages after every market close

Rakesh Waghela — Sun, 08 Nov 2026 02:09:43 +0000

Disclosure: I built the tool this post describes, so judge accordingly.

The problem

If you trade or invest in Indian stocks, a lot of screening work repeats every evening: after NSE and BSE close, you want to know which stocks broke out today, which are close to breaking out, and which sectors are gaining strength.

What I built

Ebitta is a free daily stock screener for NSE and BSE, updated after each market close. It is an end-of-day tool: it does not scan live during market hours, it prepares the picture for the next session.

It offers separate screens for:

fresh and near breakouts (daily and weekly)
new-listing breakouts
momentum leaders over 1 week, 2 weeks, 1 month and 1 year
52-week highs
delivery-% accumulation
Confluence: stocks that appear in more than one screen

There are sector and industry pages, a page per stock, and a watchlist. Browsing needs no login; an optional Google sign-in only keeps your watchlist. There is no paywall, no tips and no calls.

How it is built

The data changes once a day, so the pipeline is built around publishing rather than serving live queries:

After each market close, a Python batch job runs in a Cloudflare container and computes the screens.
The results are written as a snapshot to R2.
A Cloudflare Worker server-renders a page for each stock, sector and screen from that snapshot.
After each publish, IndexNow notifies search engines.

Try it

Breakouts screen: https://ebitta.com/breakouts?utm_source=devto&utm_medium=community&utm_campaign=launch

If you run evening scans today, I would genuinely like to know: what scan do you run that is missing here?