SIGTech integrates with IHS Markit Data Lake 26 May 2021US Reporter: Maddie Saghir
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SIGTech, the provider of next-generation quant trading technology for global investment managers, has become the first quant platform to integrate with IHS Markit Data Lake.
The integration facilitates access to over 1,500 proprietary datasets curated by IHS Markit, which enables quantitative fund managers to access these financial and alternative datasets in making the best investment decisions.
It contains proprietary alternative datasets with a long history, compiled by IHS Markit’s 5,000 analysts, data scientists, financial experts and industry specialists.
SIGTech platform users can now access these datasets, to gain insights to build, test and execute new trading strategies.
In the initial phase of the Data Lake integration, SIGTech has onboarded IHS Markit’s global securities finance dataset, which provides transparency into short interest dynamics to support investment decisions and derives strong alpha generation.
Bin Ren, founder and CEO of SIGTech, says: “We’re thrilled to now offer access to IHS Markit’s vast Data Lake and Securities Finance data via our quant platform. Combining SIGTech’s next-gen quant technology with IHS Markit Data Lake’s unrivalled breadth and depth is a game changer.”
According to Ren, the seamless integration of unique data and analytics creates a powerful tool for portfolio managers and researchers to discover new investment strategies faster than ever before.
Ren continues: “For our existing and future clients, this development is another example of our long-term commitment to providing the world’s best end-to-end quant platform for the most effective, rigorous and scalable investment process of the future.”
Craig Zolan, managing director, head of Data Lake at IHS Markit, comments: “Our Data Lake’s objective has been to speed the time to value. Partnering with SIGTech allows global investment managers to move from idea generation, data discovery and testing, and ultimately to production in a fast and efficient manner.”
SIGTech and IHS Markit say they will onboard further datasets over the coming months.
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