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43 lines
1.7 KiB
43 lines
1.7 KiB
3 months ago
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Start by importing the api key
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#open file with your API key
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with open('.api_key') as file:
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API_key = file.read()
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instally the alpha_vantage package
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#install Alpha Vantage Python package
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%pip install alpha_vantage
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Importing packages from alpha_vantage and elsewhere
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#import libraries
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from alpha_vantage.timeseries import TimeSeries
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import requests
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from bs4 import BeautifulSoup
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import pandas as pd
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import io
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The TimeSeries package onv will allow us to gather stock data, requests will help with making the requests, bs will help with formatting response, pandas will help
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with creating data frames and io will also help with formarring our data!
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Create a time series variable called ts1 and associate our api key with it.
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#build TimeSeries variable from Alpha Vantage API
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ts1 = TimeSeries(key = API_key)
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Run the get_monthly method against the time series and the argument is the stock symbol - you can get that bt googling the company name and stock symbol - eg Apple stock symbol
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For Apple - it is AAPL
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#get monthly stock data of Apple
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ts1.get_monthly("AAPL")
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Generates a lot of data saved in the file apple_monthly_stock_data.txt. Looks like this is split by calendar month
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Data for most recent month which is a part month - April 2024 in my case and most recent update was 5 April - today is Sunday 7th so that's most recent date when the stock
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exchange was open for each of the other momths, the date shown is also the last date on which the stock exchange was open for that month
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Opening and closing values are the values at the start and end of each month or in the case of this month, the closing is just the most recent value - high and low are
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the highest and lowest values for a given month - stock is the volume of stock traded in a given month for this company
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