Zerodha Nifty Futures Trading Bot
Budget: ₹12,500 – ₹37,500 INR
I need a fully-automated trading bot for Nifty futures that plugs straight into Zerodha Kite Connect. The core of the project is a rule-based strategy that handles entry, stop-loss and exit without manual intervention. Everything must run live on Kite, not on a paper-trading or crypto sandbox.
Essential stack and domain skillset
• Advanced Python for clean, modular, testable code
• Direct experience with Zerodha Kite API (order placement, WebSocket streaming, instrument token mapping)
• Practical familiarity with NSE futures behaviour, margin nuances and typical trading day flows
Functional scope
• Automated trade execution triggered by my predefined rules
• Built-in risk management: dynamic stop-loss placement and exit logic
• Real-time market-data analysis via Kite streams
• Back-testing engine to validate rule tweaks before pushing live
• Simple config layer so I can adjust quantities, time windows and threshold values without touching the code
Acceptance criteria
1. End-to-end demo on a live Zerodha account showing a full trade cycle.
2. Source code with clear documentation and a README covering environment setup, dependency list and user-level configuration.
3. Short video or screenshare walkthrough proving performance of back-test versus live execution.
Only Indian developers please; being in Bangalore is a plus because an in-person session could speed up fine-tuning. If you have already shipped a Zerodha-based trading system, share a link, repo snapshot or executable demo clip when you respond. Candidates whose background is limited to crypto or blockchain trading tools need not apply.
Essential stack and domain skillset
• Advanced Python for clean, modular, testable code
• Direct experience with Zerodha Kite API (order placement, WebSocket streaming, instrument token mapping)
• Practical familiarity with NSE futures behaviour, margin nuances and typical trading day flows
Functional scope
• Automated trade execution triggered by my predefined rules
• Built-in risk management: dynamic stop-loss placement and exit logic
• Real-time market-data analysis via Kite streams
• Back-testing engine to validate rule tweaks before pushing live
• Simple config layer so I can adjust quantities, time windows and threshold values without touching the code
Acceptance criteria
1. End-to-end demo on a live Zerodha account showing a full trade cycle.
2. Source code with clear documentation and a README covering environment setup, dependency list and user-level configuration.
3. Short video or screenshare walkthrough proving performance of back-test versus live execution.
Only Indian developers please; being in Bangalore is a plus because an in-person session could speed up fine-tuning. If you have already shipped a Zerodha-based trading system, share a link, repo snapshot or executable demo clip when you respond. Candidates whose background is limited to crypto or blockchain trading tools need not apply.