Machine-readable news platform provider RavenPack has granted access to its historical data to crowd researchers seeking alpha signals on CloudQuant’s online Python and JupyterLab-based tools. The initiative aims to support data scientists designing tools to improve financial modelling.
Both RavenPack and CloudQuant have noted a need among crowd researchers for access to Wall Street quality tools and data sets that can give them an advantage. According to CloudQuant CEO Morgan Slade, quantitative investors have already begun to discover alpha signals using RavenPack’s data sets.
Armando Gonzalez, CEO of RavenPack, says, “We were impressed with how CloudQuant provides anyone with Python-coding skills the opportunity to mine our data sets for alpha signals and earn compensation for their contributions. We strongly support initiatives designed to give data scientists the tools that liberate ideas to improve financial modelling.”
