In conclusion, overall economic performance and major stock indicator and etf have a very strong correlation. Whenver the stock market is performing well in a given year, gdp is very likely to grow and grow well. On the other hand, while the stock market is underperforming, gdp will always fall into stagant or decrease.
After having serveral different stock from different industry, we find out that different stock in the same industry shows same pattern, and they always follow a flag stock. For example, in electric star industy, Tesla's stock price will always influence other electric car company like Nio, Xpev and Li. Also, we find a way to categorize a single stock into historical trend. By doing this, we may find historic pattern repeat in our specific stock and make prediction by refering to historic trend.
Next, we find out a recommendation system for people who are picking stock base of his or her risk preference or current holding stock. This can help risk manager or broker to advice their customer which stock to buy and help investor buildup his or her own portfolio.
After that, we established a system for which people can use this system that base of stock's parameter to predict the stock's trend in a given day. We are establishing a prediction system. By utilizing this, we are let the computer to automatically trade stocks. Although there may have win and lose, but we want the expected value to be positive，thereby in the long run, we can have a risk-free investment.
At the end, we analysis how to predict the theme of one tweet. After we predict the theme of tweets, we congregate them together and use that to predict our stock trend, we analysis the sentiment to forcast the stock price.
Overall, we catch the relationship between major stock indicator like DOWs, NASDAQ and overall economic performance, we developed a stock recommendation system for investors, a trend matching system for a specific stock and a automatic stock trading algorithm that people can use.