Financial Data Web-scrapper (using Python 3.4-or-above wrapped in Excel VBA)

I would like to set-up a excel spreadsheet which can

1. access pre-defined web-pages with desired financial market-data (such as Yahoo/QuadL/Google Finance, or other websites)

2. These market-data will be either 'delayed 15min' feed, and/or historical data from the web-sites.

2. Scrap/download/extract the data from these web-pages

3. Copy these data unto an Excel spreadsheet at defined tab/ranges

4. Manipulate these data using pre-written functions (VBA or Python) and display them in charts in the Excel tabs.

The program must be written in Python 3.4 (or above version). Addin-modules for Python such as Scipy/Numpy/Panda for mathematical functions are allowed. These functions must be able to be called into Excel (VBA) using some sort of Excel Python-addin such as xlwings, or ExcelPython.

Finally, the code must be easily available to me (so that I can manipulate/adjust it) as necessary. I am proficient in Excel VBA programming, and have a working knowledge of Python. I need someone reasonably good in both, to set-it-up for me, as I need to work on developing other algorithms and need a programmer/developer to set-up the access of these data.

Python/web-scrapper/Excel software is notoriously unstable (Windows!!!) in terms of version and compatibility, so an explicit assumption must be the program written; the developer has to help/confirm the proper installation and set-up/compatibility of these software on the required machine.

Fähigkeiten: Excel, PHP, Python, Softwarearchitektur, Visual Basic

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Über den Arbeitgeber:
( 0 Bewertungen ) London, United Kingdom

Projekt-ID: #13522588

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