Mastering Pandas for Finance

Michael Heydt

• 25 mei 2015
• 9781783985111

Samenvatting:

• Modeling and manipulating financial data using the pandas DataFrame
• Indexing, grouping, and calculating statistical results on financial information
• Timeseries modeling, frequency conversion, and deriving results on fixed and moving windows
• Calculating cumulative returns and performing correlations with index and social data
• Algorithmic trading and backtesting using momentum and mean reversion strategies
• Option pricing and calculation of Value at Risk
• Modeling and optimization of financial portfolios

If you are interested in quantitative finance, financial modeling, and trading, or simply want to learn how Python and pandas can be applied to finance, then this book is ideal for you. Some knowledge of Python and pandas is assumed. Interest in financial concepts is helpful, but no prior knowledge is expected.