NSE Options Trading Sandbox
Budget: ₹75,000 – ₹150,000 INR
I’m building a sandbox-style proprietary options desk that runs entirely inside a 15-node LAN. The point is to mirror live NSE-options market behaviour as closely as possible so my team can develop and refine strategies without touching real capital. Everyone on the desk is at an intermediate skill level, so the installation has to feel realistic yet remain safe for experimentation.
Here is what I need from you:
• A dummy trading environment that streams live or near-live NSE options data, routes orders to Zerodha (or an equivalent broker’s API) in “paper” mode, and faithfully returns fills, greeks, and P&L as though we were trading real money.
• Full support for automated algorithm executions in both forward and reverse modes—e.g., the same strategy should be able to flip direction or hedge automatically on command, with latency and slippage parameters configurable so we can stress-test ideas.
• Seamless operation across 15 Windows workstations connected through a local switch; no cloud dependencies, everything must resolve locally over the LAN.
• Clear instructions or scripts for deployment, plus a simple dashboard that lets the team start, stop, and monitor algos, review order logs, and download session reports.
* Net Postions per node / Total equivalent position management etc
PLEASE REIVEW THE .PDF FILE
If you have existing libraries in Python, Node, or Java that already speak to Zerodha’s Kite API, even better—just make sure they compile and run cleanly behind our firewall.
I’ll consider the project complete when we can fire off an options strategy from any node, see it executed in the sandbox with correct market feedback, and flip it into reverse mode on demand without manual intervention.
Here is what I need from you:
• A dummy trading environment that streams live or near-live NSE options data, routes orders to Zerodha (or an equivalent broker’s API) in “paper” mode, and faithfully returns fills, greeks, and P&L as though we were trading real money.
• Full support for automated algorithm executions in both forward and reverse modes—e.g., the same strategy should be able to flip direction or hedge automatically on command, with latency and slippage parameters configurable so we can stress-test ideas.
• Seamless operation across 15 Windows workstations connected through a local switch; no cloud dependencies, everything must resolve locally over the LAN.
• Clear instructions or scripts for deployment, plus a simple dashboard that lets the team start, stop, and monitor algos, review order logs, and download session reports.
* Net Postions per node / Total equivalent position management etc
PLEASE REIVEW THE .PDF FILE
If you have existing libraries in Python, Node, or Java that already speak to Zerodha’s Kite API, even better—just make sure they compile and run cleanly behind our firewall.
I’ll consider the project complete when we can fire off an options strategy from any node, see it executed in the sandbox with correct market feedback, and flip it into reverse mode on demand without manual intervention.