This video documents the development and execution of my real-time Bank Nifty algorithmic trading system.
The system processes live market data using Upstox API WebSocket, calculates indicators like RSI, ADX, VWAP, ALMA, and ZScore, and generates structured trading signals.
This channel focuses on:
• Algorithmic trading system development
• Bank Nifty scalping strategies
• Upstox API integration (WebSocket + Order API)
• Trading bot architecture (Node.js / Python)
• Indicator engine design
• Paper vs Live execution logic
• Structured execution logs & post-trade analysis
• Backend engineering for trading systems
Tech Stack:
Node.js | Python | Upstox API V3 | MongoDB | Redis | WebSocket | Indicator Engine
This is not a signal-selling channel.
This is system engineering in public.
Subscribe if you’re interested in:
Algorithmic Trading India, Bank Nifty trading bot development, quant-style system building, and backend architecture for trading automation.
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Keywords:
algorithmic trading india, bank nifty trading bot, upstox api websocket, bank nifty scalping strategy, quant developer india, trading system architecture, python trading bot india, nodejs trading backend, real time trading logs, systematic trading engine
#AlgorithmicTrading #BankNifty #UpstoxAPI #TradingBot #QuantIndia #NodeJS #Python #AlgoTrading