Python for Finance Cookbook
portes grátis
Python for Finance Cookbook
Over 80 powerful recipes for effective financial data analysis
Lewinson, Eryk
Packt Publishing Limited
12/2022
740
Mole
Inglês
9781803243191
15 a 20 dias
Descrição não disponível.
Table of Contents
Acquiring Financial Data
Data Preprocessing
Visualizing Financial Time Series
Exploring Financial Time Series Data
Technical Analysis and Building Interactive Dashboards
Time Series Analysis and Forecasting
Machine Learning-Based Approaches to Time Series Forecasting
Multi-Factor Models
Modelling Volatility with GARCH Class Models
Monte Carlo Simulations in Finance
Asset Allocation
Backtesting Trading Strategies
Applied Machine Learning: Identifying Credit Default
Advanced Concepts for Machine Learning Projects
Deep Learning in Finance
Acquiring Financial Data
Data Preprocessing
Visualizing Financial Time Series
Exploring Financial Time Series Data
Technical Analysis and Building Interactive Dashboards
Time Series Analysis and Forecasting
Machine Learning-Based Approaches to Time Series Forecasting
Multi-Factor Models
Modelling Volatility with GARCH Class Models
Monte Carlo Simulations in Finance
Asset Allocation
Backtesting Trading Strategies
Applied Machine Learning: Identifying Credit Default
Advanced Concepts for Machine Learning Projects
Deep Learning in Finance
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Bollinger bands; RSI; python finance; Quant; Investment strategies; algorithmic trading; time series forecasting; asset allocation; option pricing; finance python; python cookbook; python financial; default prediction; GARCH; ARIMA; Monte Carlo simulations; derivatives valuation; technical indicators; machine learning; deep learning
Table of Contents
Acquiring Financial Data
Data Preprocessing
Visualizing Financial Time Series
Exploring Financial Time Series Data
Technical Analysis and Building Interactive Dashboards
Time Series Analysis and Forecasting
Machine Learning-Based Approaches to Time Series Forecasting
Multi-Factor Models
Modelling Volatility with GARCH Class Models
Monte Carlo Simulations in Finance
Asset Allocation
Backtesting Trading Strategies
Applied Machine Learning: Identifying Credit Default
Advanced Concepts for Machine Learning Projects
Deep Learning in Finance
Acquiring Financial Data
Data Preprocessing
Visualizing Financial Time Series
Exploring Financial Time Series Data
Technical Analysis and Building Interactive Dashboards
Time Series Analysis and Forecasting
Machine Learning-Based Approaches to Time Series Forecasting
Multi-Factor Models
Modelling Volatility with GARCH Class Models
Monte Carlo Simulations in Finance
Asset Allocation
Backtesting Trading Strategies
Applied Machine Learning: Identifying Credit Default
Advanced Concepts for Machine Learning Projects
Deep Learning in Finance
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Bollinger bands; RSI; python finance; Quant; Investment strategies; algorithmic trading; time series forecasting; asset allocation; option pricing; finance python; python cookbook; python financial; default prediction; GARCH; ARIMA; Monte Carlo simulations; derivatives valuation; technical indicators; machine learning; deep learning
