I gang

Curate Stock Market Data (100$)

I need to load stock market historical data as well as daily data from at least five free sources such as Quandl, Bloomberg, Thomson Reuters or FactSet.

The project will be awarded to the candidate who has done similar projects before

The data should be stored in a database that lists the Datasource, region, country, exchange name, index name, stock name, stock nature (IT, pharma, ...), stock description, open price, close price, highest price, lowest price in addition to any other fields provided by the APIs.

The data should be stored in a PostgreSQL database and it should be displayed on web interface as a chart that will be displayed according to a set of drop-down lists (region, country, index, industry, stock, start date, end date).

The data sources and the list of exchanges to be covered are listed in the attached PDF

Evner: Python, Django, Flask, Databaseudvikling, Data Visualization

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Om arbejdsgiveren:
( 24 bedømmelser ) Geelong, Australia

Projekt ID: #20864532

Tildelt til:


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$100 AUD in 7 dage
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15 freelancere byder i gennemsnit $124 på dette job


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$140 AUD in 7 dage
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