snap stock analysis

It took one or two years to develop a stock price collection tool, and do some query, statistical analysis, the result card in the right. Originally my main characteristic is can predict the stock price, now 10 yuan, bullish 30%, that 13 yuan sell on the line, but to a right, a day fell to 9 yuan in addition to contingency 5 yuan, then I this 13 yuan by the curr

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

analysis moving average. I will use two moving averages, one fast and the other slow. Our strategy is to: Start trading when fast moving averages and slow moving lines converge Stop trading when fast moving averages and slow moving lines intersect again Long is the start of trading when the fast average line rises above the slow average and stops trading when the fast average falls below the slow average. Short selling is the opposi

[Reprint] Tongda letter Plug-in stock (based on the Access letter plug-in programming code simple Analysis)Original Address:Access letter Plug-in stock selection (based on the Access letter plug-in programming code simple Analysis)Harbin Cat CatFirst of all, I am a programmer, not a shareholder. There is little underst

Original: Wave king If you want to keep yourself undefeated, you must conduct macro analysis. let's first talk about the stock market over the years. Premier Zhu has attached importance to the stock market and proposed that state-owned enterprises should be out of stock for three years, ben Wang began to be mo

. DataFrame ({"Open": group.iloc[0,0], "High": Max (Group.high), "Low": min (group.low), "Close": Grou p.iloc[-1,3]}, index = [group.index[0]]) else:raise ValueError (' Valid inputs to argument ' stick ' include tHe strings "Day", "Week", "Month", "year", or a positive integer ') # set the plot parameter, including the Axis object with drawing ax fig, ax = plt.subplots () Fig.subplots_adjust (bottom=0.2) if plotdat.index[-1]-plotdat.index[0] The f

first, the initial knowledge of pandas Pandas is a very useful library based on NumPy, which has two unique basic data Structures series (one-dimensional) and dataframe (two-dimensional) that make data operations simpler. Although pandas has two data structures, it is still a library of Python, so some data types in Python are still available here, and you can also use the class to define the data type yourself. In the field of financial data analysis