Zerodha Open Interest Trend Algo
Budget: ₹1,500 – ₹12,500 INR
I need an end-to-end trading algorithm that plugs directly into Zerodha’s Kite Connect API and follows a pure trend-following logic driven by open-interest data. The core of the job is to pull fresh OI snapshots every three minutes, interpret the shifts, trigger orders automatically, and then give me the option to disable or tweak any parameter on the fly.
Before anything goes live, I want a robust back-testing environment. Historical open-interest and price data must be ingested, the exact real-time workflow replicated, and the full results exported—ideally with equity curve, draw-down statistics, and basic position analytics—so I can verify the edge before flipping the switch to live trading.
Once the back-test is validated, the same codebase should seamlessly transition to production on Zerodha, handling order placement, position management, and error logging. Clean, well-commented Python (or another sensible language for the Kite stack), modular functions, and a short deployment guide are a must so I can maintain and extend the strategy later.
Before anything goes live, I want a robust back-testing environment. Historical open-interest and price data must be ingested, the exact real-time workflow replicated, and the full results exported—ideally with equity curve, draw-down statistics, and basic position analytics—so I can verify the edge before flipping the switch to live trading.
Once the back-test is validated, the same codebase should seamlessly transition to production on Zerodha, handling order placement, position management, and error logging. Clean, well-commented Python (or another sensible language for the Kite stack), modular functions, and a short deployment guide are a must so I can maintain and extend the strategy later.