Research needs
its context.
A public build log for an Indian-equity research platform, its technical trade-offs and paper-trade validation.
Explore TradeMaster build logCurrent status: Public build log
A specific job.
A deliberate shape.
The public build log follows an Indian-equity platform from post-market scanning to an execution watchlist, signal logging and a nightly feedback loop. It documents technical choices alongside the build rather than presenting the platform as a finished trading product.
Role & scopeFounder-built product: product direction, dashboard and workflow implementation across the public TradeMaster AI build.
Three choices
visible in the build.
- 01
Use a two-tier scanner.
The public design note scores the full universe after market close, then streams intraday quotes only for the smaller execution watchlist to control compute and API use.
- 02
Design for data-source degradation.
The build log describes Zerodha Kite for watchlist ticks and yfinance for gaps and fundamentals, joined through a DataFusion layer with stale-data flags.
- 03
Keep execution rules readable.
The product starts with Opening Range Breakout and VWAP Pullback rules while the ensemble ranks the stocks on which they run.
Open the public
product record.
Read the technical record
The public log documents data sources, the post-market scanner, a five-model ensemble, execution rules, signal logging and a nightly feedback loop.
Inspect the build decisions
The page publishes trade-offs around scanning scope, data fallbacks, rule-based execution and the FastAPI backend.
Follow the validation state
The public dashboard is described as a read-only aggregate from the trade log and the build is currently in paper-trade validation.