Machine Learning News & Topics for Quantitative Trading and Algorithmic Development

Machine Learning (ML) is the evolution of artificial intelligence where the computer (program) works with data to discover patterns (also called features) that can be used later to evaluate other data.  ML is typically broken down into three categories: supervised ML, unsupervised ML, and reinforcement learning.

CloudQuant does enable Machine Learning. To learn more check out “An Intro to Machine Learning with CloudQuant and Jupyter Notebooks” by Trevor Trinkino. This post and video cover one quantitative trader’s approach to supervised ML.

Posts

SPY Benchmark Trader

Artificial Intelligence and Machine Learning in the News, February 26, 2018

Machine learning and AI news including JupyterLabs, Poker Playing AI, Cloning your voice and how AI & ML are helping us detect Heart Attacks faster.
Quantitative Strategy, Trading, and Algo Development Industry News

Artificial Intelligence and Machine Learning in the News, February 19, 2018

This week we highlight how AI can serve us, AI Chips, Narrow AI. and the top 5 Github Data Science and ML posts for January 2018.
Quantamental alternative data

Artificial Intelligence and Machine Learning in the News, February 12, 2018

Machine learning and AI news this week covering everything from smart speakers to robots ringing the NYSE opening bell!
Trevor Trinkino Quantitative Trader

FXCM Machine Learning with Trevor Trinkino

On February 8th Trevor Trinkino presented Machine Learning with FXCM in a webinar. During this presentation, he promised to make available his machine learning Python Notebook and the supporting data file. These are available on our Google drive at:
data scientist researching trading strategies

Artificial Intelligence and Machine Learning in the News, February 5, 2018

Time is money, knowing how much your time is worth and combining that information with this Google ML prediction can only help us get more time and money to invest in developing our next Algo Model on CloudQuant!
Quantitative Strategy, Trading, and Algo Development Industry News

Artificial Intelligence and Machine Learning in the News, January 29, 2018

CloudQuant Thoughts: The points that Mr. Kaufman makes on the instant availability of "noise" is very interesting. We don't consider this to be noise at CloudQuant. We consider it to be an opportunity for data scientists and crowd researchers. These result in new data sets to research and to seek trading signals. What one person considers to be noise another person may find to be an interesting signal source!
News for Machine Learning and Algo Trading

Industry News: Machine Learning and Artificial Intelligence for January 22, 2018

CloudQuant Thoughts: Using AI to mine alternative data sources looking for insight into investment and seeking alpha. We have been talking about that for a while. Our backtest engine will even allow you to see if it will help your trading strategy. The "big banks" may be just getting into this source of alpha signals but the more advanced trading firms have been there for a few years.
CloudQuant's Morgan Slade at Security Traders Association of Chicago

Artificial Intelligence (AI) and Machine Learning (ML) STAC Conference Summary

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Moderated by Jessica Titlebaum Darmoni from the Title Connection, Slade was joined by Brian Peterson, Algorithmic Trading Lead at DV Trading, Inderdeep Singh from CME Group’s Innovation Lab and Matthew Dixon, Assistant Professor of Finance and Statistics at Illinois Institute of Technology.
Business charts

Industry News: Machine Learning and Artificial Intelligence for January 15, 2018

... While budgets may be tight we believe that innovators always find a way. Look for innovation to happen outside of mainstream information technology. Almost everyone trading today has some technology skills. It may be as simple as someone with an Excel spreadsheet macro, or a data scientists with a Jupyter Notebook. ...
Quantitative Strategy, Trading, and Algo Development Industry News

Industry News: Machine Learning and Artificial Intelligence for January 8, 2018

CloudQuant Thoughts: 80% of trading is being handled by robots? We know that 100% of trades are touched by automation these days. If it isn't in the actual order processing then it is in the clearing process, the risk process, or the account management process. When someone using a retail broker's website sees their portfolio there is added information that is presented. Almost all of that is touched by automation with some form of a "robot" or AI process.