![]() The function hist_stock_data returns a structure (e.g. Assuming that the txt file is called ‘tickers.txt’ then we can download the data as follows: myfile = 'tickers.txt' We can do that by creating a ID cell that stores all the ticker symbols: stocks = hist_stock_data('01012013', '31122014', ID) įinally, we can store the ticker symbols in a txt file and then use the above function to read the symbols from the txt file. Now we can call the historical stock data downloader like this: stocks = hist_stock_data('01012013', '31122014', 'BARC.L') Īlternatively, we can download data from multiple stocks at the same time. Now, the next step is to download the data. By looking at the excel file we find that the ticker symbol is ‘BARC.L’. Suppose that we need the closing prices of the Barclays stock. The first step is to decided which data do we need. A very good source of these symbols can be found in this excel file (scroll to the end of the new opening article to find the download link). Also, we will need a list of the symbols that are used in Yahoo! Finance. ![]() In this example I will use the Historical Stock Data Downloader that can be found in Matlab File Exchange. With a single function call, the toolbox lets you customize queries to access all or selected fields from multiple securities over a specified time period.Įven if this sound pretty easy, in reality it is not! Trying to download different datasets from Yahoo! Finance and Bloomberg I discovered that the process is quite cumbersome. ![]() ![]() In this post I will show an alternative method for downloading financial data directly to MATLAB without using the Datafeed Toolbox.ĭatafeed Toolbox provides access to current, intraday, historical, and real-time market data from leading financial data providers. ![]()
0 Comments
Leave a Reply. |