How AI Trading Technology is Making Stock Market Investors Smarter — And Richer


Posted May 13, 2020 by clmalliance

How AI Trading Technology is Making Stock Market Investors Smarter — And Richer

 
“Artificial intelligence is to trading what fire was to the cavemen.” That’s how one industry player described the impact of a disruptive technology on a staid industry.

In other words, AI is a game changer for the stock market.

While humans remain a big part of the trading equation, AI plays an increasingly significant role. According to a recent study by U.K. research firm Coalition, electronic trades account for almost 45 percent of revenues in cash equities trading. And while hedge funds are more reluctant when it comes to automation, many of them use AI-powered analysis to get investment ideas and build portfolios.

AI STOCK TRADING

AI is shaping the future of stock trading. Using AI, robo-advisers analyze millions of data points and execute trades at the optimal price, analysts forecast markets with greater accuracy and trading firms efficiently mitigate risk to provide for higher returns.

“Machine learning is evolving at an even quicker pace and financial institutions are one of the first adaptors,” Anthony Antenucci, vice president of global business development at Intelenet Global Services, recently said.

When Wall Street statisticians realized they could apply AI to investment trading applications, he explained, “they could effectively crunch millions upon millions of data points in real time and capture information that current statistical models couldn’t.”

Here are some ways companies around the world use AI for smarter trading. 

AUQUAN

Location: London, U.K.

How it’s using AI in trading: Auquan’s data science competition platform democratizes trading by allowing data scientists from all backgrounds to produce algorithmic trading strategies that help solve investment challenges. As a result, investment clients can reap the benefits of data science without the need for pricey in-house expertise.

EPOQUE

Location: Switzerland

How it’s using AI in trading: Epoque’s fully automated AI trading has three “engines”: a strategy engine that observes and analyses potential trades; an order engine that creates orders and performs operational actions; and a logical engine that handles active orders and uses machine learning to improve its performance.

CROPEAN TRADE

Location: Seychelles

How it’s using AI in trading: Cropean Trade’s Electronic Computation Network Algorithm (ECNalgo) is a revolutionary artificial intelligence algorithm which improves on the powerful leveraged based CFD 2 way trading model by creating an advanced win-win model for our traders and capital providers. ECN presents a highly rewarding model for all subscribers with full capital growth mechanisms, allowing them to take stable, consistent and daily profits on our winning trades and leveraging their capital for greater returns.

TRADE IDEAS

Location: San Diego, Calif.

How it’s using AI in trading: Overnight, Trade Ideas’ AI-powered self-learning robo-trading platform “Holly” subjects dozens of investment algorithms to more than a million different trading scenarios to increase the alpha probability in future sessions. Only those strategies with a success rate of 60% and above and a 2:1 profit factor are shared with traders the next day.

INFINITE ALPHA

Location: London, U.K.

How it’s using AI in trading: Infinite Alpha uses AI to facilitate crypto-asset trading. It offers protection to trading professionals via advanced authentication, encryption, hardware security modules and more. Using its intuitive dashboard interface, users can easily access account details, balances and transaction histories.

Contact Us

Company Name : Cropean Trade Ltd
Contact : Brenda Emerson
Email : [email protected]
Website : https://ecntradefx.com/
Country : Seychelles
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Contact Email [email protected]
Issued By Cropean Trade Ltd
Business Address https://ecntradefx.com/
Country Seychelles
Categories Business , Marketing , Trade Shows
Tags Trading Technology , Stock market
Last Updated May 13, 2020