Using Python to Analyse Financial Markets

DOI10.1007/978-3-319-61282-9_29zbMath1420.91538OpenAlexW2755362444MaRDI QIDQ4626526

Saeed Amen

Publication date: 28 February 2019

Published in: Novel Methods in Computational Finance (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-61282-9_29

zbMATH Keywords

trading strategiesfinancial markets analysisPython libraries

Mathematics Subject Classification ID

Software, source code, etc. for problems pertaining to game theory, economics, and finance (91-04) Actuarial science and mathematical finance (91G99)

Uses Software

• SymPy
• SciPy
• NumPy
• Matplotlib
• Scikit
• PyMC
• Cython
• Python
• TensorFlow
• Plotly
• IPython
• pandas
• GitHub
• Flask
• xlwings
• finmarketpy
• findatapy
• chartpy
• bokeh
• arctic

Cites Work

• Unnamed Item

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