MARCH 18, 2021
DropShot Capital Management relies on artificial intelligence for its decision making, rebalancing its portfolio by adaptively weighting a universe of cross asset ETFs. However, a fundamental question would be to ask why!? Conventional asset management favors buy and hold portfolios that range in strategy from fully static weighting, to using optimizers to build portfolios based on risk adjusted returns or other criteria. These strategies aim to rebalance at a low frequency primarily to avoid transaction costs and additional tax burdens that come with active management, but also have the potential to miss large opportunities to capture returns as market conditions change. We wish to answer the question of whether trading actively pays off for the investor relative to passive strategies.READ MORE
FEBRUARY 9, 2021
The Fixed Income Fund Joins the DropShot AI Alpha Fund that was Launched in 2018
Our new Fixed Income Fund (FIF) seeks to cater to investors looking for an actively managed, rates-exposed portfolio. The product will adhere to all of DropShot's core principles, and will continue to rely on our machine learning engine for its portfolio rebalancing decisions. The product will be long only and take exposure via fixed income ETFs. The FIF offers concentrated rates market exposure, in contrast to DropShot's AI Alpha Fund, launched in 2018, which trades domestic and foreign ETFs of all asset classes.READ MORE
NOVEMBER 10, 2020
Leveraging a world of data enables algorithmic trading at scale
DropShot Capital Management, an alternative investment platform, has been innovating artificial intelligence solutions to equities trading since 2018, focusing on data driven approaches that deliver a customer experience free of monetary lock-ups and provide a clear window into one's investment performance in a fast-changing financial environment. DropShot offers investors access to cutting-edge machine learning models with a very competitive fee structure.READ MORE
MAY 1, 2019
Hedge Fund Alert May 2019
Two data scientists are trying to raise $20 million for a hedge fund that employs machine-learning techniques. The campaign marks the first attempt by Christopher Kramvis and Uppili Krishnamachari to raise outside money for the vehicle, which they launched in July 2018 via a Hoboken, N.J., management firm called DropShot Capital. They started with $7.5 million from friends and family members. DropShot takes a long-only approach to investing in exchange-traded funds, employing a tactical asset-rotation strategy to rebalance exposures to equities and debt worldwide. Its fund produced an annualized gross return of 6.9% from July 2018 to April 2019, versus a 2.7% loss for its benchmark iShares MSCI EAFE ETF. The fund charges fees equal to 1% of assets and 10% of profits, while permitting monthly withdrawals. Kramvis is DropShot’s chief investment officer. He previously was the lead data scientist at hedge fund operator Hywin Capital, where he started in 2017 after a stop at marketing-technology company Unified. His former employers also include Vigilant Group, Tower Research and Jump Trading.
JUNE 14, 2018
In our first installment of Powered By LEAN, we feature Chris Kramvis, Chief Investment Officer of fully-algorithmic hedge fund DropShot Capital.
DropShot Capital is a fully-algorithmic hedge fund. With a wealth of experience in quantitative finance and data science, we bring several years of experience deploying algorithms; building the data pipeline, exploring parameters which produce the best fitting models and testing their results in production. We are equally at home in the trading and tech spaces and have worked with big data stacks found in the internet space. I serve as the chief investment officer and Uppili Krishnamachari is our chief information officer. As a boutique fund, we wear many hats and aim to bring our extensive and diverse experience to the design of our investment experiments.READ MORE