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Stock Price Prediction By LTSM.ipynb is the stock price prediction strategy for next day price, it using 60% history data fit the model, the 30% rest of history data to test the model, the 10% history data to predict the next day price.

Stock Price Prediction using Deep Learning with Python.ipynb using 60% history data fit the model, 40% history data test the model and do the next day price prediction.

Predict Stock Price with Linear Regression in Python.ipynb using 70% history data fit the model, 30% history data test and predict the next 3 days price, it uses machine learning method, Linear regression trains the model.

Markdown

Following companies have been executed in Stock Price Prediction By LTSM.py, some predicted price did not good match the actual value, so will not be recommend to use.

1. BABA alibaba - 70% match
2. TCEHY Tencent - 70% match
3. FB Facebook - 70% match
4. TSLA Tesla - 40% match
5. DVA DaVita Health - 95% match
6. MSFT Microsoft - 80% match
7. AAPL Apple - 60% match
8. INTC Intel - 85% match
9. TSM 台积电 - 85% match
10. ADBE Adobe - 65% match
11. AMD - 70% match
12. AMZN Amazon - 50% match
13. SCI Service - 75% match
14. WM Waste Management - 55% match
15. GOOG Google - 80% match
16. BEKE 贝壳 - 0% match
17. Etsy - 65% match
18. ATVI 暴雪 - 80% match
19. EA 艺电 - 70% match
20. TTWO TakeTwo - 70% match
21. SAM Boston Beer - 70% match
22. MCD 麦当劳 - 55% match
23. DG Dollar General - 75% match
24. PLTR Palantir - 0%
25. AYX Alteryx - 60% match
26. GME Gamestop - 80% match ========Following Companies with bitcoin as hedge risk invest===================
27. SQ Square -

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