Scalping Algo for Indian Indices

I want a fully-automated scalping algorithm that places live orders on my account for Nifty, Bank Nifty and Sensex. Execution speed and reliability matter more to me than fancy dashboards, so please build with a low-latency mindset and make sure the code can sit as close as possible to the broker’s order gateway.

Strategy
I trade in very short time frames, typically looking for a handful of points and tight stop losses. The model must therefore react instantly to market conditions and exit positions just as quickly. I do want it to read live technical indicators—moving averages, Bollinger Bands, RSI or any other fast-acting signal you believe will improve edge. If you have proven scalping filters of your own, I’m happy to review them.

Broker & Tech
I currently route orders through a mainstream Indian broker with a REST/WebSocket API (think Zerodha, AngelOne, Fyers, etc.). Mention which stack you prefer—Python, Node.js, C++, or anything else that can maintain a persistent WebSocket connection, stream tick data at sub-second intervals and fire orders with minimal delay.

Deliverables
• Clean, well-commented source code
• Parameter file so I can tweak symbol, quantity, stop/target, indicator settings and trading window without touching code
• Simple back-test or replay showing at least one week of recent data for each index
• Step-by-step deployment guide (local machine or cloud VM)
• A brief hand-off session to be sure live trades trigger correctly

Acceptance
I’ll consider the job complete when the bot (1) connects to my account, (2) executes at least one live buy and sell cycle per index in real time with the defined risk parameters, and (3) logs each trade clearly for audit.

If you have experience writing latency-sensitive scalping code for Indian markets, let’s get started.