Remedy frequent and not-so-common monetary issues utilizing Python libraries reminiscent of NumPy, SciPy, and pandas
Key Options
Use highly effective Python libraries reminiscent of pandas, NumPy, and SciPy to investigate your monetary information
Discover distinctive recipes for monetary information evaluation and processing with Python
Estimate widespread monetary fashions reminiscent of CAPM and GARCH utilizing a problem-solution method
E book DescriptionPython is likely one of the hottest programming languages used within the monetary trade, with an enormous set of accompanying libraries.
On this e-book, you may cowl other ways of downloading monetary information and getting ready it for modeling. You may calculate widespread indicators utilized in technical evaluation, reminiscent of Bollinger Bands, MACD, RSI, and backtest automated buying and selling methods. Subsequent, you may cowl time sequence evaluation and fashions, reminiscent of exponential smoothing, ARIMA, and GARCH (together with multivariate specs), earlier than exploring the favored CAPM and the Fama-French three-factor mannequin. You may then uncover how you can optimize asset allocation and use Monte Carlo simulations for duties reminiscent of calculating the value of American choices and estimating the Worth at Threat (VaR). In later chapters, you may work via a complete information science venture within the monetary area. You may additionally discover ways to resolve the bank card fraud and default issues utilizing superior classifiers reminiscent of random forest, XGBoost, LightGBM, and stacked fashions. You may then be capable to tune the hyperparameters of the fashions and deal with class imbalance. Lastly, you may give attention to studying how you can use deep studying (PyTorch) for approaching monetary duties.
By the top of this e-book, you may have realized how you can successfully analyze monetary information utilizing a recipe-based method.
What you’ll be taught
Obtain and preprocess monetary information from totally different sources
Backtest the efficiency of automated buying and selling methods in a real-world setting
Estimate monetary econometrics fashions in Python and interpret their outcomes
Use Monte Carlo simulations for a wide range of duties reminiscent of derivatives valuation and threat evaluation
Enhance the efficiency of economic fashions with the most recent Python libraries
Apply machine studying and deep studying methods to unravel totally different monetary issues
Perceive the totally different approaches used to mannequin monetary time sequence information
Who this e-book is forThis e-book is for monetary analysts, information analysts, and Python builders who need to discover ways to implement a broad vary of duties within the finance area. Knowledge scientists seeking to devise clever monetary methods to carry out environment friendly monetary evaluation may even discover this e-book helpful. Working data of the Python programming language is obligatory to understand the ideas lined within the e-book successfully.
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