Teaching
The latest developments in science and technology
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Bringing state-of-the-art expertise to industry leaders
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Building unique software solutions
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The latest developments in science and technology
Bringing state-of-the-art expertise to industry leaders
Building unique software solutions
Our Company provides services to all major financial centres. We are keenly aware of the specific requirements of our American, Asian, British, and European clients. Our know-how spans all major asset classes: equities, fixed income, foreign exchange, and credit, as well as the more recent developments, such as cryptocurrencies and blockchain.
“QuantStats Python library that performs portfolio profiling, allowing quants and portfolio managers to understand their performance better by providing them with in-depth analytics and risk metrics.” https://github.com/ranaroussi/quantstats
The International Spillovers of Synchronous Monetary Tightening https://www.federalreserve.gov/econres/ifdp/the-international-spillovers-of-synchronous-monetary-tightening.htm #QuantLinkADay
Join us for the @kxsystems / @thalesians #webinar by @RyanSiegler on #generativeAI, #RAG, and #vectordatabases #kdbai #kdb
Join us for the hybrid @thalesians / IAQF seminar on #deeplearning multimodal #DataAnalytics by Cristian Bravo hosted by @harveystein
Deep Learning (DL) has already achieved remarkable results in many fields. Now it is making waves through the sciences broadly and the life sciences in particular, transforming genomics, chemistry, biophysics, microscopy, medical analysis, and drug discovery.
Turnleaf Analytics provide datasets that seek to forecast the economy over multiple time horizons. Their approach combines expertise at the intersection of financial markets, diverse datasets, and quantitative techniques. Sometimes the relationships between market and economic variables can be very complex. Turnleaf Analytics use machine learning to model these relationships in a more cohesive manner.
Turnleaf Analytics’ Inflation Forecaster models are constantly training and improving in order to be able to capture the complex relationships underpinning today’s economic landscape. They make use of both traditional and alternative data in order to train the models and provide clients with the most accurate forecasts.