Any
$5 an hr
10
Feb 15, 2026
We are seeking a highly skilled quantitative developer and AI engineer to build a fully automated trading bot from start to finish. This is an advanced role requiring deep expertise in algorithmic trading, coding, AI integration (Claude), and market structure.
This is not a beginner or intermediate position. You must have real experience building, testing, and deploying profitable trading bots.
If you do not have direct experience in algorithmic trading and bot development, do not apply.
Project Overview:
We want to build a fully automated trading bot capable of analyzing market conditions and executing trades efficiently based on liquidity, timing, institutional behavior, gamma exposure, and macro/news factors.
The bot must be fast, adaptive, data-driven, and capable of continuous optimization.
Markets the Bot Must Understand:
• NASDAQ
• S&P 500
• Dow Jones
• Gold and Silver
• Index futures and related instruments
Core Capabilities Required:
• Build trading bot architecture from A to Z
• Integrate Claude and AI tools for analysis, decision-making, and optimization
• Process real-time and historical market data
• Analyze liquidity, volume, volatility, and market structure
• Understand and incorporate gamma exposure and options flow data
• React to economic news and macro events
• Execute trades with precise timing and minimal latency
• Adapt dynamically to changing market conditions
• Backtest strategies using historical data
• Forward test and optimize performance
• Deploy bot in live trading environment
Technical Requirements:
• Strong coding experience (Python preferred)
• Experience with trading APIs (Interactive Brokers, Tradovate, NinjaTrader, Alpaca, etc.)
• Experience working with real-time market data feeds
• Experience building algorithmic trading systems
• Experience integrating AI tools such as Claude or similar platforms
• Strong understanding of quantitative trading, market microstructure, and automation
Preferred Experience:
• Options flow and gamma exposure modeling
• Institutional trading concepts
• Backtesting frameworks
• Data analysis and statistical modeling
• Machine learning or AI-assisted trading systems
Your Responsibilities:
• Design and build the trading bot infrastructure
• Develop and test profitable strategies
• Integrate AI tools for analysis and optimization
• Backtest and validate strategies thoroughly
• Deploy bot for live execution
• Monitor and improve performance
IMPORTANT:
You must provide:
• Examples of trading bots you have built
• Performance results or backtesting data
• Your technical stack and programming languages
• Your approach to building profitable automated systems
Contact directly via WhatsApp: