Query Financial Data Conveniently with vistafetch

Unknown — Fri, 20 Oct 2023 00:00:00 +0000

vistafetch</code> is a small and simple Python library to fetch financial data for stocks, ETFs, funds, etc. from Onvista. </div> </blockquote>
Within this blog post, I'd like to introduce vistafetch</code></a>: a small and simple library to fetch financial data for stocks, ETFs, funds, etc. from Onvista. vistafetch</code> makes retrieving data for financial data a blast by providing an easy and simple-to-remember syntax. It is available on PyPI</a> and can therefore be easily installed by using pip:
pip install vistafetch </code></pre> Discover Financial Assets 🔎</a> </h2> The first step to work with vistafetch</code> is to create an instance of the VistaFetchClient</code>: from vistafetch import VistaFetchClient client = VistaFetchClient() </code></pre> This client enables you to search for various financial assets on Onvista</a>. You can simply use the search for keywords, like 'Apple': result = client.search_asset( search_term="Apple", ) result.visualize() </code></pre> This visualizes the found items as a tabular structure: ┏━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━━┓ ┃ Index ┃ Name ┃ Asset Type ┃ ISIN ┃ ┡━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━━┩ │ 0 │ Apple │ STOCK │ US0378331005 │ │ 1 │ Apple Hospitality REIT │ STOCK │ US03784Y2000 │ │ 2 │ Apple International Co. Ltd. │ STOCK │ JP3121170009 │ │ 3 │ Apple Inc. DL-Notes 2021(21/61) │ BOND │ US037833EL06 │ │ 4 │ Apple Inc. DL-Notes 2023(23/53) │ BOND │ US037833EW60 │ └───────┴─────────────────────────────────┴────────────┴──────────────┘ </code></pre> If you want to continue working with one of these assets you simply select your desired financial asset by its index shown in the table: apple_reit = result.get(1) </code></pre> As an alternative, you can also directly search with identifiers, e.g., the ISIN or WKN: result = client.search_asset( search_term="IE00B3XXRP09", ) vanguard_etf = result.get() </code></pre> Since we pass a unique identifier, we can be sure to get only one result. For this case, we can simply get the corresponding financial asset by using get()</code>. A financial asset has the following metadata available: entity_type</code>: The type of the financial asset, e.g., stock or bond</li> isin</code>: The ISIN</a> of the financial asset</li> name</code>: The full name of the financial asset</li> tiny_name</code>: The short name of the financial asset</li> wkn</code>: The WKN</a> of the financial asset</li> </ul> All attributes can directly be accessed on the financial asset, e.g., vanguard_etf.wkn</code>. The full financial asset record looks the following: print(vanguard_etf.as_json()) # or alternatively as dictionary vanguard_etf.model_dump() </code></pre> { "display_type":"ETF", "entity_type":"FUND", "isin":"IE00B3XXRP09", "name":"Vanguard S&P 500 UCITS ETF USD Dis.", "tiny_name":"Vanguard S&P 500 UCITS ETF USD Dis.", "wkn":"A1JX53", "market":null } </code></pre> Retrieve Price Data 🤑</a> </h2> vistafetch</code> provides two different ways to retrieve price data for a financial asset. The first one simply returns the most recent available price data. This can be queried by running: price_data = vanguard_etf.get_latest_price_data() </code></pre> This returns an instance of PriceData which encompasses several price-related values and their corresponding timestamp. The full structure looks the following (via price_data.as_json()</code>): { "currency_symbol":"EUR", "datetime_high":"2023-10-19T14:00:30.131000Z", "datetime_last":"2023-10-19T19:15:10.383000Z", "datetime_low":"2023-10-19T18:51:26.540000Z", "datetime_open":"2023-10-19T06:00:01.227000Z", "high":77.692, "last":76.668, "low":76.648, "open":77.48 } </code></pre> Every value can directly be accessed as attribute on price_data</code>, e.g., price_data.open</code>. Second, we can also query the price data for a specific date: > vanguard_etf.get_day_price_data(day=datetime.date(2023, 10, 10)).last 77.891 </code></pre> Future Roadmap</a> </h2> In next future, more time intervals are planned to be supported for price data retrieval so that data can also be queried for a month, a year, etc. If you have any ideas or wishes beyond that, please feel to create a feature request</a>. Problems? 🐛</a> </h2> Feel free to open an issue</a> if you experience strange behavior or bugs when using vistafetch</code>. If you are not sure if your problem should be considered a bug or if you have a question in general, reach out via discussions</a>.

Problems? 🐛</a> </h2>
Feel free to open an issue</a> if you experience strange behavior or bugs when using `vistafetch</code>. If you are not sure if your problem should be considered a bug or if you have a question in general, reach out viadiscussions</a>.</p>`

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Query Financial Data Conveniently with vistafetch

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bossenti - bossenti | posts

Generating Custom Data Quality Assets

Converting a Sklearn Isolation Forrest to ONNX Model

Query Financial Data Conveniently with vistafetch

Problems? 🐛</a> </h2> Feel free to open an issue</a> if you experience strange behavior or bugs when using vistafetch</code>. If you are not sure if your problem should be considered a bug or if you have a question in general, reach out via discussions</a>.</p>

Data Observability is Key: A Hands-on Comparison of Open Source Data Catalog Tools

Problems? 🐛</a> </h2>
Feel free to open an issue</a> if you experience strange behavior or bugs when using `vistafetch</code>. If you are not sure if your problem should be considered a bug or if you have a question in general, reach out viadiscussions</a>.</p>`