Artificial Intelligence News & Topics

Artificial Intelligence (AI) takes many forms for the trading industry including electronic trading, quantitative trading strategies, algorithmic trading development and research, risk, compliance, and management. AI refers to simulated intelligence using computer programs. These programs are designed to “think” for the purposes of achieving some tasks. For CloudQuant this task is typically determining a trading signal to initiate an investment or to close out an investment.

Forms of AI include rules-based programming, Machine Learning, and Deep Learning.

Posts

Quantitative Strategies and Capital for Trading

Industry News: Machine Learning and Artificial Intelligence News for the week ending September 25, 2017

Big Data, Data Analytics News: Wall Street Robots, SEC, Microsoft, Nvidia, REGTECH, financial services firms, KPIs all using Data Science...
Machine Learning, Quantitative Investing News

Machine Learning and Artificial Intelligence in the News September 18

ML Frameworks, Robots and your job, Trends for Investment Managers, Chief Risk Officers, FINTECH peers are "Faking it till the make it"
Quantitative Strategy, Trading, and Algo Development Industry News

Quantitative Trading and Artificial Intelligence News Recap: September 11, 2017

Quantitative Trading and Data Science in the News August 28, 2017, covering crowdsourced quantitative investment, artificial intelligence and more
Quantitative Strategy, Trading, and Algo Development Industry News

Quantitative Trading and Data Science in the News August 28, 2017

Quantitative Trading and Data Science in the News August 28 2017: CloudQuant opens door to crowd algo traders, RBC AI pilot, RBC pilots AI-based financial insight tools, AI focussed Chip, Momentum trading guide...
Quantitative Strategies and Capital for Trading

Quantitative Trading and Data Science in the News August 14 2017

Topics include: GeoLocation Alternative Data, robotic revolution, buy side, sell side, hot jobs, financial crime, ...
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.
Battle of the Quants June 2017

Battle of The Quants - Discusses Crowd Researching in NY

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Crowdsourcing in fund management and trading is the move to utilize anyone with an internet connection to participate in the research with the goal of finding new and better ways of trading. During the discussion the differing approaches being taken with the business models, and the technology, and the challenges each are facing.
Sample python code from the CloudQuant trading strategy backtesting and trade simulation platform

Code-Dependent: Pros and Cons of the Algorithm Age

Algorithms are aimed at optimizing everything. They can save lives, make things easier and conquer chaos. Still, experts worry they can also put too much control in the hands of corporations and governments, perpetuate bias, create filter bubbles, cut choices, creativity and serendipity, and could result in greater unemployment.
Stock Market, Quantitative Strategy, Trading, and Algo Development Industry News

Social Sentiment in Trading Algorithms

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Bloomberg recently wrote that “It’s no secret that hedge fund managers are always looking for new sources of data that will help them in their never-ending quest to beat the market.” (1) One of the most interesting new sources of data is social sentiment.
Quantitative Strategy, Trading, and Algo Development Industry News

Discretionary Managers Seek Alpha in Alternative Data

Alternative data providers see huge potential in providing their data to discretionary asset managers who are losing assets to quantitative and systematic funds.