When it comes to downloading historical stock data, Yahoo Finance has been a popular choice for many. However, for those looking for more comprehensive, accurate, and flexible options, Financial Modeling Prep (FMP) offers a suite of powerful tools and services that stand out as superior alternatives.
Why Choose Financial Modeling Prep Over Yahoo Finance?
FMP is more than just a data provider. We offer a range of services tailored to meet the diverse needs of investors, analysts, and developers. Here's why FMP is the preferred choice for those seeking reliable financial data:
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Unmatched Accuracy and Depth: We provide some of the most accurate financial data available on the market, covering over 70,000 stocks. Whether you need real-time prices, historical data, insider transactions, or fundamental analysis, our data goes back 30 years, ensuring you have all the information you need.
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Comprehensive Data Coverage:
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Stock Prices: Access real-time prices, historical data, and technical indicators.
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Stock Fundamentals: Analyze financial statements, key metrics, stock financial scores, and more.
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Market News: Stay updated with stock news, press releases, and expert articles.
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Company Information: Get detailed company outlooks, market capitalization, and core company data.
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Quality and Trust: Our data is collected only from trusted sources, such as the U.S. Securities and Exchange Commission (SEC) and the Federal Reserve. Quality data is crucial for making informed decisions, and we ensure that all our data is licensed and sourced from curated third-party data partners.
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Developer-Friendly APIs: FMP's API is designed to be fast, accurate, and easy to use. With over 100 endpoints and growing, our API is a favorite among developers who need detailed financial data in JSON and CSV formats. We also offer custom endpoints on demand for enterprise customers.
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Trusted by 100,000+ Customers: With a strong user base, FMP is a trusted resource for financial data, catering to everyone from individual investors to large financial institutions.
3 Ways to Download Historical Stock Data Using Financial Modeling Prep
1. Using the Financial Modeling Prep Playground
For those who prefer a more interactive way to gather historical stock data, the Financial Modeling Prep (FMP) Playground is an excellent tool. The Playground is a user-friendly platform where you can search for stocks, visualize data, and perform various analyses.
How to Use FMP Playground to Download EOD Historical Data:
Visit the FMP Playground.
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Search for the Daily Chart EOD, then input the symbol you are interested in by entering its ticker symbol in the symbol search bar. Choose the time frame you are looking for to retrieve the historical data.
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To download the data, simply press the "Export" button, where you will have 3 different ways to export the data: CSV, JSON, and text file.
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How to Use FMP Playground to Download Intraday Chart Data:
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Visit the FMP Playground.
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Search for the Intraday Chart, then input the symbol you are interested in by entering its ticker symbol in the symbol search bar. Choose the time query parameters required.
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To download the data, simply press the "Export" button, where you will have 3 different ways to export the data: CSV, JSON, and text file.
This method is perfect for users who appreciate a visual interface and want to quickly analyze stock performance before downloading data.
2. Downloading Historical Data Through Endpoints with CSV Format
For those comfortable working directly with APIs, Financial Modeling Prep offers two powerful endpoints to access historical stock data in CSV format. This method is highly customizable and can provide either intraday or end-of-day (EOD) data.
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Intraday Stock Data:
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To access intraday data, use the Intraday Chart Endpoint. By appending &datatype=csv to the endpoint URL, you can download the data in CSV format.
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For example: https://intelligence.financialmodelingprep.com/api/v3/historical-chart/1min/AAPL?apikey=YOUR_API_KEY&datatype=csv
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End-of-Day (EOD) Stock Data:
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Similarly, for end-of-day data, use the Daily Chart Endpoint and add &datatype=csv to the endpoint URL.
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For example: https://intelligence.financialmodelingprep.com/api/v3/historical-price-full/AAPL?apikey=YOUR_API_KEY&datatype=csv
These methods provide more control over the data you receive, allowing you to choose specific time intervals and historical ranges. They are ideal for developers and data analysts who want to automate their data retrieval process or perform more advanced analyses.
Another convenient way to download and analyze historical stock data is through the Excel or Google Sheets Add-Ons provided by Financial Modeling Prep. This method allows you to integrate live and historical stock data directly into your spreadsheets for easy analysis and visualization.
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How to Set Up and Use Add-Ons:
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Visit the FMP Excel Add-On Documentation to learn how to install the add-on.
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Once installed, you can use various functions provided by the add-on to pull historical data directly into Excel or Google Sheets.
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This method allows you to set up dynamic spreadsheets that can be updated with live data or historical data on-demand, making it a powerful tool for financial modeling and analysis.
This method is perfect for users who prefer working in familiar environments like Excel or Google Sheets and want to automate data retrieval and analysis tasks.
Pricing Plans
With FMP's pricing plans, users can access historical data downloads spanning over 30 years and covering more than 60 global exchanges. The Starter Plan offers extensive access to historical data, making it an invaluable resource for investors, analysts, and developers seeking in-depth market insights.
Explore the pricing plans here.
Conclusion
While Yahoo Finance has served many well, Financial Modeling Prep offers a more robust and versatile solution for downloading historical stock data. With FMP, you can enjoy accurate, comprehensive, and developer-friendly data that is trusted by over 100,000 customers. Whether you're an individual investor, a financial analyst, or a developer, FMP provides the tools you need to make informed decisions.
