oneplus stock price

This example, through numpy analysis of stock price CSV file reading and writing CSV (comma-separated value, comma separated values) is a common file format, usually the database is the file is a CSV format, each field in the file corresponds to the columns in the database table. Here is a file in CSV format, this article is an example of this file data.Data structure as follows diagram Each data correspon

Solemn statement: The stock market is risky, the investment needs to be cautious, use this model to make a firm offer to take risks at your own riskMACD is an indicator, the specific usage is macd>0 bullish, the opposite is bearish, really is this it? Since all the technical indicators are based on the statistics of historical data, indicators lag is inevitable, sometimes the MACD is clearly greater than 0, the share

the next day, the next week, and the next one months, respectively. Contrast baseline is a model that uses only the word-bag input feature (SVM or deep learning)Experimental results: 1. Predicting the accuracy of a day is higher than the predicted time, indicating that the event is 2 more important for short-term stock forecasting. The title data is the most useful, adding content data, but the prediction accuracy rate decreased by 3. Deep learning i

If a company has been listed, we can see the future of the company from its stock price. In general, we can look at its PE and other indicators too much. Based on this, I plan to analyze RIM briefly. RIMM is listed on Nasdaq and the company's stock code is RIMM. Figure 1 shows the share price of the company in the last

Read the R language today. Take a note.Use the R language to read Yahoo wealth data. Analysis of Microsoft Corporation (stock code: MSFT) in 2015 when the share price fluctuated more than 10% of the date.Then by retrieving the news of the way to see what happened to Microsoft that day, causing the stock price fluctuati

Transferred from: http://www.cnblogs.com/ranranblog/p/5845010.htmlThe pigs can fly under the Tuyere. The bull market in China today is a "missed seven years". Give you an opportunity to review the history of a stock, known for a continuous n-day price movement, in the length of an integer array of n, the array of elements I (prices[i]) represents the stock

Yesterday I wrote about using the time series search method to predict the stock price. Program, Sort it out today. It mainly uses the time series search method to search for the stock trend of the current period of time which is most similar to that of the history record. After finding the result, we can predict the trend based on the historical record. The h

at 0, as in September, and is written as 08. Reference URL: Http://blog.sina.com.cn/s/blog_71302a17010100on.html Http://www.gummy-stuff.org/Yahoo-data.htm Http://hi.baidu.com/arjsyy/blog/item/3057167ab50157d50ad1878a.html -------------------------------------------------------------------------------------- -Copyright Notice: -If there is no special description in this page, the content of this article is [Li Daren blog] original, this article copyright [Li Daren Blog] all. -Welcome

a strong forecast and early warning effect. PMI usually takes 50% as a dividing point for economic strength, withPMI above 50% reflecting manufacturing economic expansion and less than 50%, reflecting a contraction in the manufacturing economy .The PMI is expressed as a percentage, often with 50% as the dividing point for economic strength: that is, when the index is above 50%, it is interpreted as a signal of economic expansion. When the index is below 50%, especially when it is very close to