Risk tolerance, daily habits and trade critiques with Andy Kershner
By Digimid Quant
/ June 26, 2017
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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Social Sentiment in Trading Algorithms
By Digimid Quant
/ June 26, 2017
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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Rise of Robots: Inside the World's Fastest Growing Hedge Funds
By Digimid Quant
/ June 26, 2017
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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Finding Novel Ways to Trade on Sentiment Data
By Digimid Quant
/ June 20, 2017
“Everyone is looking into alternative data sets, sometimes without really understanding their value,” says Dr. Arun Verma, Ph.D.,
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Discretionary Managers Seek Alpha in Alternative Data
By Digimid Quant
/ June 6, 2017
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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Morgan Stanley’s 16,000 Human Brokers Get Algorithmic Makeover
By Digimid Quant
/ June 6, 2017
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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June 22nd 2017 Battle of Quants
By Digimid Quant
/ June 5, 2017
CloudQuant’s CEO Morgan Slade will be speaking on Crowdfunding Algo Developers and Data Scientists. The primary question on his panel will be “How does the mechanism work and which business model is showing early signs of success?”
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Citigroup taps quant trader Thomas Chippas
By Digimid Quant
/ June 5, 2017
Citigroup Inc. has tapped a quantitative trading veteran to help the bank vault into that hot category, as part of a broader build-up of its equities unit.
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Quants Run Wall St. Now?
By Digimid Quant
/ May 30, 2017
We get it, algorithms and quants and machine learning and roboadvisors and all the rest are the latest buzz words in a financial world increasingly comfortable with the concept of computers running things,
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Machine learning set to shake up equity hedge funds – Financial Times
By Digimid Quant
/ May 26, 2017
... the model of hedge funds charging “2 and 20” — a 2 per cent management fee and 20 per cent performance fee — for investing in large-cap stocks rising and falling “doesn’t work any more” and is ripe for disruption.
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Traders
By Digimid Quant
/ May 23, 2017
Kershner Trading, CloudQuant’s parent company, is seeking new traders to join our team. From capital to automation, we provide qualified, proven US equities traders with everything they need to practice a more well-rounded and competitive trading strategy.
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Algo Developers – Entry Level
By Digimid Quant
/ May 23, 2017
CloudQuant is THE trading strategy incubator. We’re building a free python data research tool for ordinary people with extraordinary trading ideas. We license and fund the best trading strategies and pay our users a share of the profits. Our group is a FINTECH startup housed under the umbrella of a trading firm with existing infrastructure and financial resources.
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Hedge funds and VCs are throwing money at ex-Bridgewater data scientists’ startup
By Digimid Quant
/ May 23, 2017
If you aren’t being recruited because you didn’t work at Bridgewater, maybe it is time to create your own hedge fund operation by creating an algo on CloudQuant.
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Benzinga Awards Interview of Morgan Slade
By Digimid Quant
/ May 22, 2017
CloudQuant's own Morgan Slade spoke with Fintech TV on our incubator for trading strategies during the Benzinga Global Fintech Awards.
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Funds Face ‘Alt’ Data Challenge
By Digimid Quant
/ May 19, 2017
Although alternative data sets are helping funds with systematic investment strategies, those funds that employ discretionary strategies are finding it harder to separate the new trading signals from the noise.
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