(Cutie-Pie) Quantitative Techniques in Python- is the cutting-edge data science & quantitative research optimization platform that serves up all desired data, and prior team work products, as ready-to-use (virtualized) data sets. Automated services achieve the ID-mapping, data transformation and aggregation activities required to ensure the data is ready for use while our simple/common set of APIs make accessing the data easier than ever before.
Teams leveraging the power of QTPy enjoy (1) massive improvements in productivity by eliminating time consuming data acquisition processes, (2) the ease of use offered by a single set of APIs for all data sets and (3) re-use of prior team artifacts in developing new models.
Let us show you how QTPy will unleash the full potential of your team.
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Next Gen AnalyticsACT on your data with cutting edge algorithms that drive potent analytics. Increase your alpha and achieve world-class opportunities in investment, trading and client services.
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Non-Intrusive SoftwareQTPy adapts to your existing data environment with ease. Our non-intrusive software can be installed in-house, mapped internally and propels your analytics to achieve peak research potential.
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Data and ID MappingWe work within your current systems and data repositories to eliminate the need for time-consuming data re-engineering. Our team of deep domain experts builds powerful analytics across countless datasets.
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Fully-Hosted SolutionsExtensive data infrastructure, mapping services and complete in-cloud maintenance. 24 hours a day. 7 days a week. Whether it’s entity-specific, owner- affiliated or ESG-related, QTPy ensures alternate datasets are normalized and mapped to a unique identifier.
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Flexible IntegrationQTPy effortlessly integrates in-house repositories and proprietary data with external, in-cloud and large data sets (i.e. tick data). Get the flexibility you need while conforming to the enterprise standards that matter most.
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Gain Deeper InsightsLeverage our partnerships with some of the most reputable market data vendors to incorporate over 100+ cutting edge data sets, including ESG, Sentiment Analytics and more.