Integration Partners
Our Integration Partners profiles are hand-picked, independent consultants and companies with a solid track record of operational excellence with QuantConnect. Let them help to take your idea to a fully implemented algorithmic trading strategy.
About
My name is Charles Hacker and I am from the Rochester Institute of Technology, I've always had a strong interest in the Stock Market competing and winning several contests in high school. As I’ve gone deeper into computer science, stock market algorithms have interested me more and more, this summer I decided to put as much time as possible into developing my skills.
About
Hi, I am Jerry Yang, a quant trading enthusiast, currently a MSCS student at UC San Diego. I have a solid background in programming, with high proficiency in Python, Java, C, Rust, and also some familiarity with C++ and C#. I write Vue.js for frontend development and Node.js/FastAPI/SpringBoot for backend. Python is my favorite scripting language but for computational intensive task I would choose Rust. I like Rust for writing side projects. I am actively learning things about options and futures, with some exposures to time-series analysis paradigms and tools at the moment.
About
With high proficiency in Python and C#, I have been developing, backtesting, and deploying trading strategies for traders on the QuantConnect platform. I also contribute to and maintain Backtrader, a quantitative backtesting framework. Additionally, I conduct quantitative research such as the impact of the Black-Litterman model in portfolio construction and ML/AI applications for pair trading algorithms.
About
I am currently pursuing an M.S. in Financial Engineering at Columbia University, building on my B.S. in Business and Technology Management and Minor in Mathematics from NYU. During my internship at JPMorgan Chase & Co., I leveraged AI and data science to enhance predictive models, significantly improving their performance and efficiency. I am proficient in Python, machine learning, data modeling, and quantitative analysis, and I am passionate about applying these skills to quantitative trading and research.
About
Double Major in Finance & Mathematics at the Wisconsin School of Business. President of Cardinal Trading Group. Strong interests in HFT, Market-Making, Market-Microstructure, and Multi-Factor Risk Models.
About
I am Aviral Sharma, an aspiring quantitative trader with a robust background in computational finance and risk management.My professional experience spans over three years as a Software Developer at Oracle Corporation, where I honed my skills in software development and data engineering. . In the realm of quantitative trading, I have spearheaded various projects, including an NFT pair trading initiative that utilized Distance Method and Co-integration Method for pair selection. The project demonstrated an impressive return of nearly 49.8% over two years of historical data. My trading strategies incorporate sophisticated statistical analysis and machine learning techniques, focusing on metrics like SMA, RSI, MACD, and Ichimoku Cloud to detect trends and monitor changes effectively.
About
Computer Science and Math major at UW-Madison. Excited to explore quantitative finance! www.linkedin.com/in/lukaswehlitz
About
Majoring in Computer Science and Minor in Technology, Innovation and Supply Chain 3rd year @ UCSD - https://www.linkedin.com/in/rudy-osuna/
About
Results-driven digital transformation leader with 23+ years of experience driving digital transformation, leveraging AI, cloud, and data analytics. I am personally interested in learning quant finance, and optimize my investments.
About
Hello! I'm Satya Pandya, a rising senior majoring in Computer Science with a minor in Economics at Rutgers University. I am very interested in algorithmic trading and financial markets and hope to work in this field. I am always open to chat, so feel free to reach out!
About
Data has always fascinated me, and I discovered a passion for extracting insights from it during my studies. As I explored data science and finance, I found an intriguing intersection between these fields, inspiring me to pursue a career in Quantitative Modelling & Research. Through hands-on projects and a solid academic foundation, I've honed my skills in translating theory into practical solutions. Proficient in Python, C++, and R, I'm excited by the prospect of bridging data science and finance, contributing to innovative work while expanding my knowledge.
About
Quinn is a data-science and data engineering consultant based out of New York City that specializes in quantitative trading algorithm development. He has helped retail and institutional clients curate, enhance, and develop their backtesting and execution models on QuantConnect. On UpWork, Quinn has achieved top-rated plus status, meaning that he is in the top 3% of developers due to his proven track record of delivering high quality work.
About
Arthur is a professional quantitative developer who holds a master's degree in Mathematics and has a strong passion for financial markets and algorithmic trading. He has a solid, proven track record with a 100% success rating of completed projects with clients ranging from individuals to hedge funds and family offices. His comprehensive expertise in building trading systems is reflected in the high quality and accuracy of his work, while consistently meeting customers' needs. He understands the importance of intricate details in automated trading and designs his code to be easy to follow, modular, extendable, and efficient.
About
Cheng is a professional quant developer. He is a Top Rated, Pro verified seller on Fiverr - a distinction achieved by only 1% of applicants on the platform. He has worked with over 100 clients worldwide, from retail traders to hedge funds, and professionals from major financial institutions like Citibank and Credit Suisse. He is also an instructor on Udemy who teaches students with no coding experience on how to code trading algorithms from scratch. He is available to code your strategy or tutor you so you can code it yourself.
About
Royce (Aaron) is a professional engineer, algorithmic trader, and developer who has built profitable trading systems for himself and his clients. He has helped over 150 clients worldwide develop algorithmic trading systems tailored to fit their needs. His clients range from individuals just getting started with trading to hedge funds and investment advisory firms. He is a skilled programmer that writes well documented and organized code that is easy to follow and build upon, but he provides even more value with his trading knowledge and experience. Aaron has completed over 197 projects on Upwork with a 100% success rating.
About
Adrian Tkacz is a mid-level Python developer specializing in writing code for automated trading. QuantConnect is his preferred framework and data source for researching, backtesting, and live trading. As a software engineer, he was engaged in IT projects related to cloud technologies, backend development, and machine learning. He has over twenty years of non-professional experience in trading stocks, crypto, options, futures, and precious metals, with success in long-term investments and lessons learned in short-term trading tries.
About
Abhishek Gupta is a seasoned consultant with over a decade of experience in providing advisory services for mathematical and quantitative research of financial products and markets. He has a proven track record of development and deployment of efficient QuantConnect algorithms and has helped numerous individuals in improvement of investment, trading and risk management strategies. Abhishek holds dual masters in financial engineering and business administration from the prestigious Indian Institute of Technology (IIT, Delhi) and have good expertise in mathematical programming, data science, algorithmic trading and statistics. His goal is to add value to every project he runs across and help organizations in optimization of all aspects by harnessing his strong experience and analytical skills.
About
Quantpedia's mission is to process academic research into a more user-friendly form to help anyone who seeks new systematic trading strategy ideas. We have a team of quantitative analysts, former portfolio managers, and quant developers with 10+ years of track record and experience in portfolio and risk management tasks.
About
RocketEdge specializes in designing, architecting, and managing cutting-edge financial trading systems and distributed complex adaptive systems. With deep expertise in AI, quantitative finance, and cloud technology, they deliver high-performance solutions tailored to clients' needs. Our services range from ultra-low-latency trading system design to advanced risk management and portfolio optimization. Leveraging experience across leading financial institutions and startups, they help clients drive innovation through data-driven insights, robust algorithms, and scalable architectures.
About
Optimlaize creates custom, data-driven investment solutions. At Optimlaize, we believe in precision, expertise, and the transformative power of data to propel your investments forward.
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