Python Developer for QuantConnect – Market Data Retrieval & Algorithmic Signal Development
Budget: $50 – $90 USD
We are seeking a skilled Python developer with expertise in QuantConnect to assist in retrieving, analyzing, and processing historical and real-time market data. The ideal candidate will have a strong background in algorithmic trading, data analysis, and strategy development. You will work on refining existing scripts, optimizing data handling, and developing robust signals for market condition detection.
Key Responsibilities:
1. Market Data Retrieval & Storage:
o Extract historical and real-time market data using QuantConnect.
o Implement universe selection processes to filter securities based on criteria such as market cap, liquidity, and other metrics.
o Track and log cumulative trading volume across different market sessions (pre-market, regular, and after-hours).
o Develop structured event logging for key market conditions and anomalies.
2. Indicator & Signal Development:
o Identify and implement relevant technical indicators based on retrieved market data.
o Analyze specific market setups involving price and volume dynamics.
o Configure real-time signals to detect predefined market conditions.
o Design and implement event-driven trading strategies based on identified criteria.
3. Script Review & Optimization:
o Review and refine existing QuantConnect scripts for improved efficiency and accuracy.
o Optimize historical data retrieval, processing, and storage mechanisms.
o Enhance the handling and storage of event-driven data for scalability and performance.
Qualifications:
• Proven experience with QuantConnect and Python programming.
• Strong understanding of algorithmic trading, market data analysis, and technical indicators.
• Familiarity with universe selection, event-driven strategies, and real-time signal detection.
• Ability to optimize code for efficiency and scalability.
• Experience in working with historical and real-time market data.
Preferred Skills:
• Knowledge of financial markets, trading strategies, and market microstructure.
• Experience with event logging, data storage, and retrieval optimization.
• Strong problem-solving skills and attention to detail.
If you have a strong background in QuantConnect, Python, and algorithmic trading, we’d love to hear from you! Please share your relevant experience, past projects, and any examples of your work. Shortlisted candidates will receive additional details about the project scope and specific objectives.
Key Responsibilities:
1. Market Data Retrieval & Storage:
o Extract historical and real-time market data using QuantConnect.
o Implement universe selection processes to filter securities based on criteria such as market cap, liquidity, and other metrics.
o Track and log cumulative trading volume across different market sessions (pre-market, regular, and after-hours).
o Develop structured event logging for key market conditions and anomalies.
2. Indicator & Signal Development:
o Identify and implement relevant technical indicators based on retrieved market data.
o Analyze specific market setups involving price and volume dynamics.
o Configure real-time signals to detect predefined market conditions.
o Design and implement event-driven trading strategies based on identified criteria.
3. Script Review & Optimization:
o Review and refine existing QuantConnect scripts for improved efficiency and accuracy.
o Optimize historical data retrieval, processing, and storage mechanisms.
o Enhance the handling and storage of event-driven data for scalability and performance.
Qualifications:
• Proven experience with QuantConnect and Python programming.
• Strong understanding of algorithmic trading, market data analysis, and technical indicators.
• Familiarity with universe selection, event-driven strategies, and real-time signal detection.
• Ability to optimize code for efficiency and scalability.
• Experience in working with historical and real-time market data.
Preferred Skills:
• Knowledge of financial markets, trading strategies, and market microstructure.
• Experience with event logging, data storage, and retrieval optimization.
• Strong problem-solving skills and attention to detail.
If you have a strong background in QuantConnect, Python, and algorithmic trading, we’d love to hear from you! Please share your relevant experience, past projects, and any examples of your work. Shortlisted candidates will receive additional details about the project scope and specific objectives.