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
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
Finance student at the Wisconsin School of Business, working towards certificates in Data Science and Mathematics. President of Cardinal Trading Group. Strong interests in HFT, Market-Making, Market-Microstructure, and Digital Assets.
About
Quant trading enthusiast, student studying Computer Science and Engineering at University of California San Diego
About
Computer Science and Math major at UW-Madison. Excited to explore quantitative finance! www.linkedin.com/in/lukaswehlitz
About
Senior majoring in Computer Engineering, Math, Data Science at UW-Madison. Passionate about solving challenging engineering and math problems, deriving insights using data modeling and visualizations. Product and Technology Enthusiast!
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
MSc Applied Mathematics Student at Imperial College London. Intern at Shell energy short-term power trading. Developing interest in energy markets.
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
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
Hello, everyone! I am a Quantitative Developer here at QuantConnect and am always excited to build new projects!
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 available to code your strategy from scratch 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
Researching, developing and testing robust algorithms that learn and adapt to changing markets. Example projects: AI crypto-trading bot, long-short trading bot for S&P; 500, interactive research notebook for systematic factors calculation and testing.
About
InnoQuantivity is a small team of Quantitative Analysts and Traders, passionate about the intersection of finance, technology, and data. Our goal is to help make Algorithmic Trading more accessible, sharing our experience using industry-standard open-source technology to research, backtest and live trade a wide variety of strategies.
QuantConnect™ 2024. All Rights Reserved