Indian F&O AI Quant Platform

I need a fully automated quant platform focused on Indian futures & options that trades intraday and can show a clear path to profitability. The core build must combine:

• Automated trading that connects to broker APIs (Zerodha, Upstox, etc.) and fires orders with low latency.
• Real-time market data analysis so every tick, Greek, and volatility move feeds straight into the engine.
• A backtester that replays historical intraday data and produces complete performance reports before any strategy goes live.

For the AI layer I want the full stack: predictive analytics to forecast short-term moves, machine-learning modules that keep tuning strategies as live P&L comes in, and NLP that scans news or social media for events affecting Indian derivatives.

The end product should expose a clean Python API plus a lightweight dashboard where I can watch signals, order flow, and P&L in real time. Please make the architecture modular so I can swap data feeds, brokers, or models without rewiring everything.

Deliverables
1. Source repository with strategy engine, data connectors, execution layer.
2. Trained AI models (minimum three months of intraday data) ready for online learning.
3. Backtesting module mirroring live logic, outputting Sharpe, drawdown, win rate, etc.
4. Deployment guide and short video walkthrough.
5. 3 year data of every F&O stocks with tic data
Acceptance criteria: after hand-off, the system must run five consecutive sessions—either in paper trading or with small live capital—without critical errors and with a positive expectancy curve.

Timeline is tight; I’d like to see an MVP trading ASAP, so propose an aggressive yet realistic schedule and milestone breakdown when you reply.