High-Frequency Trading Algorithm Developer for Volatile Assets

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We’re looking for an experienced developer to create a high-frequency trading system tailored for a volatile asset. This project involves building a robust solution that integrates real-time data, executes automated trading decisions, and incorporates advanced risk management. We need someone with a strong background in algorithmic trading, real-time data processing, and options strategies, who can deliver a reliable and scalable system without needing the full details of the strategy upfront. Key Responsibilities: Build a high-frequency trading algorithm using Python or C++. Connect the system to real-time data feeds (e.g., Polygon.io, Interactive Brokers) for fast, accurate decision-making. Develop automated trading logic to manage positions and execute trades. Implement risk management features like trailing stops, hedging mechanisms, and safety protocols. Optimize the system for low-latency performance and adaptability to dynamic market conditions. Required Skills and Experience: Programming: Strong skills in Python or C++ for developing trading algorithms. Real-Time Data: Hands-on experience with real-time data feeds and APIs. Options Trading: Familiarity with options strategies (e.g., iron condor) and their practical application. Risk Management: Expertise in techniques like trailing stops or hedging (e.g., gamma hedging). High-Frequency Trading: Proven ability to work with high-frequency systems and low-latency execution. Nice-to-Have Qualifications: Experience with volatile assets (e.g., stocks, cryptocurrencies). Knowledge of cloud platforms (e.g., AWS) for scalable deployments. Background in market-neutral trading strategies.

Keyword: Python

Contractor Tier: Hourly: $40.00 - $150.00

Price: $40.0

Python Industry Knowledge Financial Modeling Financial Analysis Financial Planning Financial Projection Financial Report C++ Algorithm Development Data Science