Python for Finance Cookbook: Over 50 recipes for applying

❂ Python for Finance Cookbook: Over 50 recipes for applying modern Python libraries to financial data analysis kindle Epub ❆ Author Eryk Lewinson – Contemporary-books.co Solve common and not so common financial problems using Python libraries such as NumPy SciPy and pandasKey FeaturesUse powerful Python libraries such as pandas NumPy and SciPy to analyze your financiaSolve common and not so common financial problems using Python libraries such as NumPy SciPy and pandasKey FeaturesUse powerful Python libraries such as pandas NumPy and SciPy to analyze your financial dataExplore uniue recipes for financial data analysis and processing with PythonEstimate popular financial models such as CAPM and GARCH using a problem solution approachBook DescriptionPython is one of the most popular programming languages used in the financial industry with a huge set of accompanying librariesIn this book youll cover different ways of downloading financial data and preparing it for modeling Youll calculate popular indicators used in technical analysis such as Bollinger Bands MACD RSI and backtest automatic trading strategies Next youll cover time series analysis and models such as exponential smoothing ARIMA and GARCH including multivariate specifications before exploring the popular CAPM and the Fama French three factor model Youll then discover how to optimize asset allocatio.

N and use Monte Carlo simulations for tasks such as calculating the price of American options and estimating the Value at Risk VaR In later chapters youll work through an entire data science project in the financial domain Youll also learn how to solve the credit card fraud and default problems using advanced classifiers such as random forest XGBoost LightGBM and stacked models Youll then be able to tune the hyperparameters of the models and handle class imbalance Finally youll focus on learning how to use deep learning PyTorch for approaching financial tasksBy the end of this book youll have learned how to effectively analyze financial data using a recipe based approachWhat you will learnDownload and preprocess financial data from different sourcesBacktest the performance of automatic trading strategies in a real world settingEstimate financial econometrics models in Python and interpret their resultsUse Monte Carlo simulations for a variety of tasks such as derivatives valuation and risk asses.

python epub finance free cookbook: mobile over pdf recipes ebok applying kindle modern ebok python ebok libraries download financial pdf data book analysis pdf Python for pdf Finance Cookbook: epub Finance Cookbook: Over 50 book for Finance Cookbook: download for Finance Cookbook: Over 50 mobile Python for Finance Cookbook: Over 50 recipes for applying modern Python libraries to financial data analysis ePUBN and use Monte Carlo simulations for tasks such as calculating the price of American options and estimating the Value at Risk VaR In later chapters youll work through an entire data science project in the financial domain Youll also learn how to solve the credit card fraud and default problems using advanced classifiers such as random forest XGBoost LightGBM and stacked models Youll then be able to tune the hyperparameters of the models and handle class imbalance Finally youll focus on learning how to use deep learning PyTorch for approaching financial tasksBy the end of this book youll have learned how to effectively analyze financial data using a recipe based approachWhat you will learnDownload and preprocess financial data from different sourcesBacktest the performance of automatic trading strategies in a real world settingEstimate financial econometrics models in Python and interpret their resultsUse Monte Carlo simulations for a variety of tasks such as derivatives valuation and risk asses.

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