ALGORITHMIC TRADING

deep learning data lake

Using traditional Data Warehouse methods, we apply prediction models on available data from a wide array of markets. Our team of qualified machine learning analysts work closely with graph experts designing autonomous relationship connectors. These relationships become too cumbersome for human intelligence to decipher, so we apply machine learning models to make sense out of them.

ingest events

We assign corporate event data to a growing list of tradeable assets

key value lake

The data lake associates a single asset with a mountain of data

traverse the graph

We make relationships across a graph to find key insights

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