MarketBrains on CloudQuant
The impact of machine learning and open source resources on quant trading could be described as explosive. At FIA Expo in Chicago, CloudQuant’s CEO Morgan Slade will be discussing how that’s translating into opportunity for a wider variety of participants.
CloudQuant is a crowd sourced platform that has skin in this game, and has recently started publicly announcing their funding allocations: in August, $15 million for an algorithmic trading strategy; and in September, $10 million for an ETF-focused algorithmic trading strategy.
The selection methodology for allocating funding is proprietary, but algorithms are expected to have out of sample Sharpe Ratio of 2.5, quarterly win rates of 75+% and monthly win rates in the 60+% range.
Read the full article on MarketBrains
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The thoughts and opinions on this site do not represent investment recommendations by CloudQuant or Kershner Trading Group. Securities, charts, illustrations and other information contained herein are provided to assist crowd researchers in their efforts to develop algorithmic trading strategies for backtesting on CloudQuant.
