Orange: Yahoo Finance: Difference between revisions

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This widget fetches historical stock market data from Yahoo Finance and outputs it as a time series data table.
This widget fetches historical stock market data from Yahoo Finance and outputs it as a time series data table.
[[File:Yahoo-finance-stamped.png|center|200px|thumb]]


     Stock (e.g. GOOG) or index (e.g. DJI) symbol you are interested in.
     Stock (e.g. GOOG) or index (e.g. DJI) symbol you are interested in.
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     Desired resolution of the time series. Can be one of: daily, weekly, monthly, or dividends. The last option outputs a table of dates when dividends were issued, along with their respective dividend amounts.
     Desired resolution of the time series. Can be one of: daily, weekly, monthly, or dividends. The last option outputs a table of dates when dividends were issued, along with their respective dividend amounts.


Example
==Contoh==


Since the output data type is inherently a Table, you can connect it to wherever a data table is expected. Naturally, you can use it to test some functions in the Timeseries add-on.
Since the output data type is inherently a Table, you can connect it to wherever a data table is expected. Naturally, you can use it to test some functions in the Timeseries add-on.


[[File:Yahoo-finance-ex1.png|center|200px|thumb]]





Revision as of 05:32, 25 January 2020

Sumber: https://orange.biolab.si/widget-catalog/time-series/yahoo_finance/

Generate time series from Yahoo Finance stock market data.

Outputs

   Time series: Time series table of open, high, low, close (OHLC) prices, volume and adjusted close price.

This widget fetches historical stock market data from Yahoo Finance and outputs it as a time series data table.

   Stock (e.g. GOOG) or index (e.g. DJI) symbol you are interested in.
   Date range you are interested in.
   Desired resolution of the time series. Can be one of: daily, weekly, monthly, or dividends. The last option outputs a table of dates when dividends were issued, along with their respective dividend amounts.

Contoh

Since the output data type is inherently a Table, you can connect it to wherever a data table is expected. Naturally, you can use it to test some functions in the Timeseries add-on.


Referensi

Pranala Menarik