Our Data Retrieval Process

SDSQuant uses a proprietary approach to extract information from raw SEC filings. We deploy an automated combination of natural language tagging and an analysis of the document’s structural characteristics to render consistent data at high levels of accuracy. Once a publicly traded company’s filings (such as 10K/Q) are profiled in the system, we can pull and deliver historical, present, and future financials with extremely low latency. This system carries tremendous advantages over data gathering alternatives like manual entry (although an analyst will always conduct a manual validation if a filing is flagged by one of our many error checks).