Data Science

Data Science is the application of scientific method, processes, systems, and tools to discover insights and knowledge or insights from all forms of data.  Modern Data Scientists use tools and skills including pythonJupyter Notebooks, linear algebra, statistics, machine learning, and more in their quest to develop those insights.  Some in the business and trading consider Data Science to be synonymous with business analysis or quantitive research.

Posts

Stock Market, Quantitative Strategy, Trading, and Algo Development Industry News

Morgan Stanley’s 16,000 Human Brokers Get Algorithmic Makeover

Call them cyborgs. Morgan Stanley is about to augment its 16,000 financial advisers with machine-learning algorithms that suggest trades, take over routine tasks and send reminders when your birthday is near.
Morgan Slade, Python Data Scientist and Trader

June 22nd 2017 Battle of Quants

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CloudQuant’s CEO Morgan Slade will be speaking on Crowdfunding Algo Developers and Data Scientists. The primary question on his panel will be “How does the mechanism work and which business model is showing early signs of success?”
quantitative algo trading conceptual dashboard

Hedge funds and VCs are throwing money at ex-Bridgewater data scientists’ startup

If you aren’t being recruited because you didn’t work at Bridgewater, maybe it is time to create your own hedge fund operation by creating an algo on CloudQuant.
Quantitative Strategies and Capital for Trading

Funds Face ‘Alt’ Data Challenge

Although alternative data sets are helping funds with systematic investment strategies, those funds that employ discretionary strategies are finding it harder to separate the new trading signals from the noise.
Kershner Trading, parent of CloudQuant

Kershner Trading Announces the Formation of CloudQuant

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Kershner Trading Group, LLC announces the formation of CloudQuant®, a wholly owned subsidiary that is the Trading Strategy Incubator.