Developed in C++, our G-TradeEngine processes over 1 million data points per second, scaling linearly with parallelization for unparalleled speed and efficiency.
Built on Google Cloud Platform (GCP), G~Score leverages a fault-tolerant, distributed architecture ensuring high availability and scalability to handle massive datasets and workloads.
Our infrastructure spans 40 GCP regions, enabling global market coverage and optimized latency for rapid execution.
G~Score employs an ensemble of hundreds of models, distributed across multiple GPUs and regions, for robust and diversified predictions, maximizing accuracy and minimizing risk.
Access to petabytes of data from major vendors, covering US and European equities, options, and crypto assets at various levels (tick, quote, L1/L2).
Millions of results are instantly queryable via SQL in BigQuery, enabling rapid analysis and strategic decision-making.
Seamless integration with major US and European stock, options, futures, and cryptocurrency exchanges.
Our streamlined ML pipeline automates hyperparameter tuning and model evaluation, ensuring optimal performance and continuous improvement.