According to a recent press release, “Deep Nexus Inc. today announces the launch of its AI-powered predictive analytics for financial markets. The company utilizes deep learning neural networks with time-series data for trading in equities, futures, commodities, and foreign exchange markets. ‘Our core approach is to find repeating patterns and anomalies in data and to use these for intra-day trading,’ said Chief Executive Officer Kevin M. Riley. ‘Our technology stack is complete; from collecting incoming data, to generating analytics, through trade execution. It is the emerging hardware and software technologies, especially deep learning, that have made our platform possible.’ Riley began experimenting with quantitative trading strategies and neural networks more than 20 years ago. He initiated work on the Deep Nexus technology platform in early 2017.”

The release goes on, “Simulated historical trading results demonstrate the potential versus a passive portfolio. From January 2016 to May 2019, a sample Deep Nexus portfolio returned 357% versus 61% for the S&P 500 Index. ‘The historical performance samples have exceeded our expectations,’ said Co-Founder Tif Olson. ‘It has also been fascinating to watch all the layers in the technology stack run in a live trading environment.’ The typical Deep Nexus model trades on an intra-day basis using 1-minute data. Predictive analytics are generated by proprietary Deep Nexus machine learning algorithms. The analytics are coupled to algorithmic trade logic, which executes trades 24 hours per day. The Deep Nexus platform can accommodate any liquid market while the analytics and trading logic can be optimized to target specific performance objectives. The analytics are structured to provide predictions for both direction and magnitude several time-steps into the future, not just a probability of a price moving up or down.”

Read more at Business Wire.

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