Udacity and WorldQuant partner to launch the Artificial Intelligence for Trading Nanodegree program.
As detailed in The Wall Street Journal, “investors now have at their fingertips an expanding ocean of data about the global economy and financial data, such as changes in earnings estimates and accounts receivable.” Traders who can leverage data and technology, including artificial intelligence, are gaining significant ground accordingly:
“Quantitative hedge funds are now responsible for 27% of all U.S. stock trades by investors, up from 14% in 2013.”
In the last 5–10 years algorithmic trading, or algo trading, has gained popularity with the individual investor. The rise in popularity has been accompanied by a proliferation of tools and services, to both test and trade with algorithms. I’ve put together a list of 9 tools you should consider using for your algo trading process.
This is a gradual shift that has played out over recent years as automated trading has increased, and machine-learning techniques to build more intuitive systems that can make trade decisions faster than the blink of an eye. Some investment firms have embraced technology faster than others, but within the next few years, many more could find themselves moving towards the advanced end of the spectrum.
With the introduction of trading robots, the team plans to make the Exscudo exchange more suitable to experienced and professional traders who use the trading software for their work, allowing to attract a new audience and boost the liquidity on the exchange.