Angel One Options Algo Coding
Budget: ₹12,500 – ₹37,500 INR
I have an options-based trading idea that I’d like translated into a fully automated algorithm in Python using Angel One’s SmartAPI. The strategy is driven purely by technical indicators, so your task is to code the signal logic, connect it to the broker’s endpoints, and make sure orders flow smoothly in live markets.
Here’s the workflow I need captured:
• Pull real-time option chain data through SmartAPI.
• Calculate my chosen technical indicators on the underlying and on specific option strikes.
• When predefined indicator conditions are met, place market or limit orders for the corresponding option contracts, set protective stops, and manage exits the same way.
• Log every signal, order, and fill for review, and send instant notifications (Telegram or email—whichever you prefer to wire up).
Deliverables I expect:
• Clean, well-commented Python script (or small module set) ready to run on a VPS.
• A simple config file so I can adjust indicator parameters, option strike selection rules, quantity, and risk settings without touching the code.
• Quick back-test or paper-trade demonstration that proves the logic fires correctly.
• README explaining setup, required Python libraries, and how to obtain SmartAPI credentials.
If you already work with pandas, NumPy, TA-Lib (or any indicator library you trust) and have previous Angel One SmartAPI experience, you’ll get up to speed quickly. Accuracy, clear documentation, and stable execution matter more to me than fancy dashboards, so keep the interface minimal and the core logic rock-solid.
Here’s the workflow I need captured:
• Pull real-time option chain data through SmartAPI.
• Calculate my chosen technical indicators on the underlying and on specific option strikes.
• When predefined indicator conditions are met, place market or limit orders for the corresponding option contracts, set protective stops, and manage exits the same way.
• Log every signal, order, and fill for review, and send instant notifications (Telegram or email—whichever you prefer to wire up).
Deliverables I expect:
• Clean, well-commented Python script (or small module set) ready to run on a VPS.
• A simple config file so I can adjust indicator parameters, option strike selection rules, quantity, and risk settings without touching the code.
• Quick back-test or paper-trade demonstration that proves the logic fires correctly.
• README explaining setup, required Python libraries, and how to obtain SmartAPI credentials.
If you already work with pandas, NumPy, TA-Lib (or any indicator library you trust) and have previous Angel One SmartAPI experience, you’ll get up to speed quickly. Accuracy, clear documentation, and stable execution matter more to me than fancy dashboards, so keep the interface minimal and the core logic rock-solid.
Related categories:
Python
Software Architecture
C++ Programming
API Development
Backtesting
Telegram API
Pandas