Neural Network MATLAB pattern recognition
The great sea change in day trading as a profession is the development of day trading robot software. These tools are information aggregators that will pull in specific data about how the markets are behaving and make recommendations on what stocks to buy and what stocks to sell.
Stock tips are nothing new; they’ve been an emergent behavior of markets and information transmission speed increases since the first public stock markets opened in the sixteenth century. More recently, stock tips were sent out with telegraph wires in the 1830s and 1840s, over telephones in the 1880s, and through ticker tape messenger boys in the first quarter of the 20th century.
With the advent of personal computers and fax machines, stock market tips moved even faster, and their volume increased (as did the total complexity of the stock market). Now, the amount of data you can get for stock tips is, bluntly, overwhelming, and parsing it all now takes longer than placing trades would have in the old days.
(Now that automated trading software exists, it’s even easier to make money with stock trading, since the broker bottleneck no longer hinders your operations.)
There is a specific item of software out there called the Day Trading Robot Software. It is a neural network market analysis program that takes a lot of data in and matches it to some black box proprietary algorithms to make recommendations. These algorithms represent almost a half century of day trading experience, and according to the programmers of the software, and the day traders who lent their expertise to it, they’re quite refined. The major claim to fame for this software is hard to verify – it claims to be able to learn from bad trades.
Source: Day Trading In Stocks
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