Case Study: STATS4TRADE achieves better-than-index returns with lower volatility using BigML

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STATS4TRADE, a financial services company focused on helping active fund managers improve investment performance, wanted a smarter way to select stocks and make buy/sell decisions in a market where passive funds and lower fees were putting pressure on traditional active strategies. The company worked with BigML and used its machine-learning platform, including the Dashboard and APIs, to experiment quickly with different models and features.

With BigML, STATS4TRADE built and tuned statistical models on historical stock-price data to forecast price movements and guide trading decisions. The result was a machine-learning approach that delivered about 31% return versus 5% for the CAC 40 index over the 2014 to October 2016 period, while reducing volatility and operating costs through more automated, less hands-on trading workflows.

STATS4TRADE

Jean-Marc Guillard

Founder & Chief Executive Officer