Breakout Automated Trading Algo Creation
Budget: ₹1,500 – ₹12,500 INR
Project: Python-Based Automated Futures Trading Algo (Zerodha)
Project Overview
I am looking for an experienced Python algo trading developer to build a fully automated breakout trading system for the Indian Futures market (NSE F&O) using Zerodha Kite API.
The strategy is rule-based, uses price breakouts with ATR-based trailing stop-loss, and must support both live trading and backtesting.
This is a serious, production-grade project, not an indicator or alert-only system.
Key Requirements (High-Level)
Python-based automated trading system
Zerodha Kite API integration
Supports Index Futures & Stock Futures
Breakout-based entries (configurable lookback)
ATR-based trailing stop-loss logic
One position per instrument
Market orders only
Time-based trade filters
Robust order handling (rejections, retries)
Detailed trade logging (CSV / DB)
Separate backtesting module
Clean, structured project folder
Well-documented setup & configuration
Cloud hosting / AWS is NOT required for this project.
Who Should Apply
Developers with real Zerodha live-trading experience
Strong Python + market execution knowledge
Familiar with futures, ATR, and trailing SL mechanics
No signal sellers or “guaranteed return” claims
Deliverables
Complete Python source code
Backtesting script
Trade logs
Setup & usage documentation
Short post-delivery support
Budget
Budget will be discussed based on:
Experience
Quality of execution logic
Prior live algo work
Project Overview
I am looking for an experienced Python algo trading developer to build a fully automated breakout trading system for the Indian Futures market (NSE F&O) using Zerodha Kite API.
The strategy is rule-based, uses price breakouts with ATR-based trailing stop-loss, and must support both live trading and backtesting.
This is a serious, production-grade project, not an indicator or alert-only system.
Key Requirements (High-Level)
Python-based automated trading system
Zerodha Kite API integration
Supports Index Futures & Stock Futures
Breakout-based entries (configurable lookback)
ATR-based trailing stop-loss logic
One position per instrument
Market orders only
Time-based trade filters
Robust order handling (rejections, retries)
Detailed trade logging (CSV / DB)
Separate backtesting module
Clean, structured project folder
Well-documented setup & configuration
Cloud hosting / AWS is NOT required for this project.
Who Should Apply
Developers with real Zerodha live-trading experience
Strong Python + market execution knowledge
Familiar with futures, ATR, and trailing SL mechanics
No signal sellers or “guaranteed return” claims
Deliverables
Complete Python source code
Backtesting script
Trade logs
Setup & usage documentation
Short post-delivery support
Budget
Budget will be discussed based on:
Experience
Quality of execution logic
Prior live algo work
Related categories:
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Financial Markets
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Backtesting
Financial APIs