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Battle of The Quants – Discusses Crowd Researching in NY

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.
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Industry News

The Patient Chart Pattern Trader

“Chart pattern trading is a style that is more suitable for recreational trading rather than professional. This is one reason it was never considered seriously by the majority of hedge funds. In addition to requiring patience, slow chart pattern formations offer enough time for detection and competition is high at diminishing returns.”
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CloudQuant Press

MarketsWiki Education World of Opportunity July 2017 NY

Join us at the NY MarketsWiki Education to hear Morgan Slade’s thoughts on the The Algorithmic Trading Tesseract brings cloud computing, alternative data, machine learning, and crowd researchers together forming a revolutionary crowd in the financial industry.
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CloudQuant Press Industry News

Trading Strategy development—Powered by Machine Learning

Join us at the NY MarketsWiki Education to hear Morgan Slade’s thoughts on the The Algorithmic Trading Tesseract brings cloud computing, alternative data, machine learning, and crowd researchers together forming a revolutionary crowd in the financial industry.
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Blog Industry News

Let The Market Take You Out Of Your Trade

LearnToTradeTheMarkets.com published a very interesting article advocating Why You Should Almost Never Manually Close Trades. This post goes into detail examining that most traders “self-sabotage.” In other words, traders are their own worst enemy. They get emotional when trading.
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Four Problems with the Sharpe Ratio
Industry News

Four Problems with the Sharpe Ratio

If you are an algorithmic trader, developer, or data scientists they you have already heard of the Sharpe Ratio. Many of you use this measurement as your score card for how well your algo performs.
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Industry News

An Index-Fund Evangelist Is Straying From His Gospel

... Maybe the experts can beat the monkeys after all. That is, if the experts are software engineers writing sophisticated algorithms for computer-generated trading. ...
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Industry News

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.
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Blog Industry News

Recommend Investment Blogs

Wesley R. Gray (@alphaarchitect), the CEO and CIO of Alpha Architect, a quantitative asset manager published a list of “high-quality research produced by financial professionals in the blogosphere” on the Wall Street Journal
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CloudQuant Press Industry News Press

Risk tolerance, daily habits and trade critiques with Andy Kershner

Trading industry veteran Andy Kershner, the CEO of CloudQuant’s parent company Kersher Trading spoke with Chat With Traders about risk tolerance, daily habits and trade critiques.
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CloudQuant Press Industry News

Social Sentiment in Trading Algorithms

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.
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Industry News

Rise of Robots: Inside the World's Fastest Growing Hedge Funds

Believe the hype. Quants have never been more popular. After doubling over the past decade, assets run by so-called systematic funds have hit a record $500 billion this year, according to estimates from Barclays Plc.
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Industry News

Finding Novel Ways to Trade on Sentiment Data

“Everyone is looking into alternative data sets, sometimes without really understanding their value,” says Dr. Arun Verma, Ph.D.,
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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.
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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.
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