Quantitative Trading

Quantitative trading utilizes trading strategies based on quantitative analysis to systematically identify trading opportunities and to execute trades as identified. A Quant trader may work for the buy side or sell side of the trading industry. Buy side quants are looking to trade for investment purposes. These trades typically seek to make a profit from either short-term price movements (alpha) or from longer-term investment returns (beta.) Sell side quants provide quantitative trading in their brokerage activities. The sell side algos are typically accumulation type strategies (i.e. volume weighted average pricing – VWAP) that help investors get the best price for their overall order.

Quantitative trading techniques include high-frequency trading, sentiment analysis trading, and statistical arbitrage.

Quantitative trading is not synonymous with High-Frequency Trading (HFT) even though all HFT firms employ some form of algorithmic trading.

CloudQuant utilizes crowd researchers to provide the quantitative analysis that is then used by our quantitive traders.


Quantitative Strategy, Trading, and Algo Development 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.,
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.
Quantitative Strategies and Capital for Trading

Citigroup taps quant trader Thomas Chippas

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.
Quantitative Strategy, Trading, and Algo Development Industry News

Quants Run Wall St. Now?

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,
Stock Market, Quantitative Strategy, Trading, and Algo Development Industry News

Machine learning set to shake up equity hedge funds - Financial Times

... 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.
quantitative algo trading conceptual dashboard

Hedge funds and VCs are throwing money at ex-Bridgewater data scientists’ startup

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.
Morgan Slade at Benzing with FintechTV

Benzinga Awards Interview of Morgan Slade

CloudQuant's own Morgan Slade spoke with Fintech TV on our incubator for trading strategies during the Benzinga Global Fintech Awards.
Quantitative Strategies and Capital for Trading

Funds Face ‘Alt’ Data Challenge

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.
quantitative algo trading conceptual dashboard

An Incubator for Trading Strategies

GLG Partners has hired a head of machine learning. Financial News reports that this is a new role entirely. The article points out that the volume of data that GLG is utilizing is growing. A similar article reports that BlackRock is putting a greater emphasis on computer models.
Kershner Trading, parent of CloudQuant

Kershner Trading Announces the Formation of CloudQuant

Kershner Trading Group, LLC announces the formation of CloudQuant®, a wholly owned subsidiary that is the Trading Strategy Incubator.