u/minwisteria

I’ve started judging broker APIs very differently after trying to automate parts of my options-selling setup. What used to matter most for me, low brokerage, big margins and a snappy mobile app, became secondary once I moved a few workflows to a Python script for Nifty/Bank Nifty option selling. Small infra issues quickly compound: a late hedge, a websocket hiccup, or confusing order states turn a neat plan into a messy session.

What I used to prioritise:

- brokerage

- margin

- app speed

- option chain and charts

- basic order placement

What actually matters for semi-automated option selling:

- order status consistency (no divergent views between API and exchange)

- WebSocket stability and reconnect behaviour

- rate-limit clarity and predictable throttling

- historical tick and OHLC coverage for backtests

- sandbox/UAT quality so you can test without real capital

- clear, actionable error messages from the API

- reliable order modification and cancellation behaviour

- responsive, knowledgeable support for edge cases

- Greeks and options analytics in the stream (reduces local computation and delay)

One API I’m evaluating is the Nubra trading app, it feels more API-first than many retail brokers and seems focused on the workflow reliability pieces above. Not claiming it’s the automatic winner; you still need to bench-test your own strategy and order flow.

Checklist I’d run before trusting an options-selling algo:

- uptime / SLA history

- WebSocket 99th-percentile latency and reconnect tests

- end-to-end order accuracy (simulated and live)

- margin behaviour under rapid price moves

- data coverage (intraday ticks, historical options chain snapshots)

- quality of docs and code examples

- sandbox parity with live environment

- support SLAs and technical depth

- Greeks/options data availability in streams

If you’ve done this shift from manual to API-based option selling, what one infra issue caused the biggest P\&L or operational headache for you?