Quantitative Finance

Quantitative Finance or Mathematical Finance is applied mathematics with a strong focus on the financial markets. In Quant Finance, especially quant finance for trading firms, the quant seeks to use numerical models from market prices, company or asset fundamental data, and alternative data to develop new trading or investment models. The goal is to provide a new trading model.

CloudQuant provides quantitive financial enthusiast and professionals with free tools to develop new trading models. These crowd researchers develop the trading models and work with quantitative traders to execute the trading strategy. The quant is paid based on a license agreement where the trading strategy receives an allocation and they retain their own intellectual property (the algo.)

Posts

AdobeStock_108824457

Test 2. 02, July 2019

News clippings are provided algorithmically with CloudQuant's NLP engine which seeks out articles relevant to our community. UPDATE 2-Sterling, gilt yields tumble as markets raise rate cut bets * Sterling falls to new lows after…
John "Morgan" Slade

Quants discuss evaluating and adapting their models - Including CloudQuant

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In January, Morgan Slade participated in a Panel Discussion for Quantitative Fund Managers and how they are adapting their model.
New York

Meet The Niche Manager – Quantitative Managers. January 26, 2018

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CloudQuant will be participating in the Peltz International seminar Meet the Niche Manager on January 26, 2018 in New York.
www.futuresradioshow.com

Futures Radio Show interviews Morgan Slade December 12, 2017

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CloudQuant's CEO was interviewed by Anthony Crudele of Futures Radios show to discuss topic including Artificial Intelligence, Machine Learning, and Deep Learning applied to algorithmic trading. Alternative datasets are a major topic of discussion. People are saying that data is being created faster than ever before. That really isn't true. What is really happening is that data is being captured and stored at a faster rate than ever before. Vendors are now making AltData available for traders to change the way that they interact with the markets. This applies to futures and stocks with the popularity of Deep Learning in algorithmic trading strategy development.
RSI

Technical Analysis Library (TA-LIB) for Python Backtesting

Anyone who has ever worked on developing a trading strategy from scratch knows the huge amount of difficulty that is required to get your logic right. ... TA-LIB Turbo-Charges Your Research Loop: TA-Lib is widely used by quantitative researchers and software engineers developing automated trading systems and charts. This freely available tool allows you to gather information on over 200 stock market indicators.
Quantitative Strategy, Trading, and Algo Development Industry News

Industry News: Machine Learning and Artificial Intelligence for December 11, 2017

AI & ML news covering Hedge Funds, Career, Fraud Detection, Vineyards/Winemaking, Quanthouse, Apple, Quantitative Brokers, and more
Morgan Slade, Python Data Scientist and Trader

QuantNews Interview with CEO Morgan Slade

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With over 20 years of experience as a trader, portfolio manager, executive, and entrepreneur, Morgan Slade is now the CEO of CloudQuant, a cloud based quantitative strategy incubator and systematic investment fund. He has built quantitative trading businesses at some of the world’s largest hedge funds and Investment Banks ...
Open, Close, High, Low

Share Ordering Demo using Market, Limit, and Midpoint Peg Orders

The CloudQuantAI github repository holds the share_ordering_demo tutorial/code that demonstrates ways to buy and sell stocks in the CloudQuant backtesting engine using Market, Limit, and Midpoint Peg Order types. There is no single "right way" to do any of these. You will have to think carefully about
Quantitative Strategies and Capital for Trading

Industry News: Machine Learning and Artificial Intelligence for November 27, 2017

AI & ML news covering: UBS, UK Workforce, Smart AI Chips, BlackRock, FINTECH Workflow management, CITIC, Aquila Capital, Investment Bankers, ...
Business charts

Industry News: Machine Learning and Artificial Intelligence News November 20, 2017

AI & ML news covering: Overvalued Markets, crypto-currencies, Quantamental funds, Social Sentiment Deceptions, Hiring of Buy-Side Quantitative Trading, ...