Complement your portfolio with uncorrelated assets to reduce drawdown.
Discover the relationship between SPY price and unemployment data using regression.
Pioneering Tomorrow’s Trading
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This release was another big one in moving our system over to .Net Core format to grant you access to the newest and best tools that have been added to C#. Also included in this release are changes to our report generator, now any report you run on a backtest will include an estimated capacity […]
Started in 2009, Chacon Diaz & Di Virgilio Wealth Management is a fiduciary firm in Gainesville, Fla. With roughly $100 million dollars in AUM, their firm was originally constructed to use a mix of highly liquid passive and actively-managed investments across asset classes such as US and international equities and bonds, real estate, and commodities. […]
At QuantConnect, we’re always interested in how our users are deploying our institutional-grade technology. With Organizations, QuantConnect is more flexible and customizable than ever before, allowing you to scale up and down your resource use as your team grows. At Bond University in Queensland, Australia, students in Rand Low’s and Bruce Vanstone’s Financial Trading Systems […]
Over the course of the past year, QuantConnect welcomed significant growth. Our Quant Community grew by 45% in 2020 alone, and we opened our Alpha Streams marketplace to everyone. This, along with our recently launched Organizations layer, has allowed us to continue to address new users as well as helping current ones scale and grow […]
This release is a big update for LEAN, we’re marching towards .NET Core support with the migration of our projects to .NET Core format. We’re still a few weeks away from being ready but we’re optimistic Core will bring a speed up and better cross-platform compatibility. We’ve integrated with the new Github Actions CI system […]
Our mission at QuantConnect is to democratize quantitative finance and empower individuals: we do this by providing institutional-grade trading tools to all levels of quantitative traders. We have seen firsthand in the past few weeks — with r/WallStreetBets-inspired retail trading influx — that the retail trader is incredibly powerful, and we want to continue to […]