ALGORITHMIC TRADING
deep learning data lake
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
ingest events
We assign corporate event data to a growing list of tradeable assets
key value lake
key value lake
The data lake associates a single asset with a mountain of data
traverse the graph
traverse the graph
We make relationships across a graph to find key insights