Big Data in Quantitative Trading Research and Algo Development

Big Data is data sets that are complex data sets, typically with large volume. Examples of Big Data in FINTECH include historical market data, news service information, tweets, and sentiment data.  Challenges in using big data include capture, storage, security, analysis, and visualization. Data scientists use Big Data (including alternative data) for predictive analytics. CloudQuant’s quantitative crowd researchers use historical market data, news data, and sentiment data to develop predictive trading strategies that are tested using a complex, proprietary backtesting trade simulator.

Posts

Quantamental alternative data

The Rise of Quants in Trading and Financial Markets

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Cloud computing and access to industrial grade investment and data science tools are changing the playing field for quantitative trading firms. CloudQuant's CEO Morgan Slade participated in a panel at Stocktoberfest West in October 2017. This has raised the discussion of quantamental investment and data science techniques. This is the merger of technology, investment management, and data science.
Quantitative Strategy, Trading, and Algo Development Industry News

Industry News: Machine Learning and Artificial Intelligence News November 6, 2017

AI and ML for investing, ETFs, Cliff Asness, BofE, Manifold Partners, Japan's bank, SoftBank, lack of skilled AI teammates, Uber, MarketX, fake news, ...
Machine Learning, Quantitative Investing News

Industry News: Machine Learning and Artificial Intelligence News 10/30/2017

AI and ML for CloudQuant, ArcaEx, Corporate earnings reports, Hedge Funds, Microsoft, Alexa, Saturday Night Live, the apocalypse, Elon Musk, and more ...
Stock Market, Quantitative Strategy, Trading, and Algo Development Industry News

Industry News: Machine Learning and Artificial Intelligence News

ML for Banking, New York, Google/Deepmind, Cars.com, God & Dan Brown, Natural Language Processing (NLP), IoT, and more...
Quantitative Strategy, Trading, and Algo Development Industry News

Industry News: Machine Learning and Artificial Intelligence News October 16, 2017

FINTECH perspective on AI & ML: Barclays, big banks, Data Science Questions, Linear Optimizations, Robo-Advisors, Augmented Intelligence, and more ...
Researcher reading iPad

Big Data, Data Analytics, Data Science in the News October 5, 2017

Data Science Topics: UBS, data quality, cloud-native, Morgan Stanley, wildlife monitoring drones, targeted marketing, retirement planning, Boeing, Google AI
Quantitative Strategy, Trading, and Algo Development Industry News

Big Data, Data Analytics in the News September 26, 2017

Big Data, Data Analytics News: Wall Street Robots, SEC, Microsoft, Nvidia, REGTECH, financial services firms, KPIs all using Data Science
Quantitative Strategy, Trading, and Algo Development Industry News

Big Data, Data Analytics in the News September 19

Big Data, Data Analytics in the News September 19 that the CloudQuant team found interesting this past week.
SPY Benchmark Trader

Full Stack UI Developer - Chicago

We are looking for a Web Developer responsible for managing the interchange of data between the server and the users, as well as translating the UI/UX design wireframes to actual code that will produce the visual elements of the application.
World Market Access

2017 - The Year of Artificial Intelligence

World Economic Forum published that Artificial Intelligence (AI) is a rapidly growing discussion point in corporations and governments. This is driven by: 1. Everything is now becoming a connected device. 2. Computing is becoming free. 3. Data is becoming the new oil. 4. Machine learning is becoming the new combustion engine.