1. The stock market is a complex system, and complex systems cannot be estimated in detail.
2. The role of data is not to make money for everyone, but to make it easier for people using data to beat people who don't use the data in the game. For example, Bloomberg, whose data tools cost $ tens of thousands of a year, but a lot of people are buying using
3. High-frequency trading is not big data, but priority to others first step to get information; a lot of automated trading systems, based on events and rules triggered, according to other people's pending orders, the use of their own speed advantage and interface, high-frequency high-low suction operation, spell is the speed and not by prediction, the first to play futures, the Banker's are through the carrier pigeon from the United States between the continents, in fact, the speed of the fight, who good pigeons.
4. Similar to the chaos effect, your investment itself will have an impact on the stock price. So small-scale play can also, the scale of the market has changed.
Big Data Stock forecasts