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How to download stocks data from yahoo finance monthly weekly and annual basis

2023-11-08 5 Dailymotion

Downloading stock data from Yahoo Finance on a monthly, weekly, and annual basis can be a useful task for investors and traders. Here's a step-by-step YouTube video description, including tags, to guide your viewers on how to do this using Python and Yahoo Finance API.<br /><br />Title:<br />"How to Download Monthly, Weekly, and Annual Stock Data from Yahoo Finance with Python"<br /><br />Video Description:<br /><br />In this tutorial, you'll learn how to download stock data from Yahoo Finance using Python on a monthly, weekly, and annual basis. This data can be valuable for your investment and trading strategies. We'll use the Yahoo Finance API to access this information.<br /><br />Step 1: Prerequisites<br />Before we get started, make sure you have Python installed on your system. If you don't, you can download it from python.org.<br /><br />Step 2: Install Required Libraries<br />We'll need the yfinance library to interact with Yahoo Finance. Install it by running the following command in your terminal:<br /><br />Copy code<br />pip install yfinance<br />Step 3: Python Code<br />Next, create a Python script with the following code to download the stock data:<br /><br />python<br />Copy code<br />import yfinance as yf<br /><br /># Define the stock symbol and the time frame (monthly, weekly, annual)<br />stock_symbol = "AAPL" # Replace with your desired stock symbol<br />period = "1mo" # You can use "1wk" for weekly and "1y" for annual data<br /><br /># Download the data<br />data = yf.download(stock_symbol, period=period)<br /><br /># Print the data<br />print(data)<br />Step 4: Run the Script<br />Execute the Python script in your terminal or code editor. It will download the stock data and display it in your console.<br /><br />Step 5: Analyze and Visualize<br />Now that you have the data, you can analyze it, plot graphs, and use it for your investment decisions.<br /><br />Video Tags:<br /><br />Yahoo Finance<br />Python<br />Stock Data<br />Finance<br />Stock Market<br />Data Analysis<br />Data Visualization<br />Trading Strategies<br />Investment<br />API<br />Feel free to tailor the title, description, and tags to suit your video content and style. Make sure to keep your viewers engaged and informed throughout the tutorial. Happy investing!

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