Price loading...

Quant_Py: Python for Quantitative Finance

Education

Price data last checked 108 day(s) ago - refreshing...

View at Amazon

Price History & Forecast

No Price Data Available

Price history will appear here once data is collected from Amazon.

Price Distribution

No price data available for histogram

Description

Step into the dynamic world of quantitative finance with ‘Quant_Py’, teaching python for quantitative finance, authored by a Quant who has worked in Greenwich, CT, and a data scientist and statistician who graduated from Yale University. This comprehensive guide is designed to master the Python programming language and its application in financial analysis. Key Lessons: - Master Python Basics: Learn Python syntax, data structures, and libraries to lay a strong foundation. - Financial Data Analysis: Dive deep into Pandas to manipulate and analyze financial data. - Visualization Techniques: Harness Matplotlib and Seaborn to visualize complex financial metrics. - Risk Management: Utilize statistical measures and portfolio optimization techniques to manage risk effectively. - Trading Strategies: Create and backtest trading algorithms with real-world data. - Probability and Simulation: Explore Monte Carlo simulation and other probabilistic methods for financial modeling. - Tackling Overfitting: Learn how to manage the risk of overfitting in your financial models through techniques like Lasso Regression. Whether you're a beginner eager to learn Python from scratch or a seasoned professional looking to expand your toolkit, this book offers a deep dive into the key concepts, techniques, and Python libraries that will empower you to make informed financial decisions. From the foundations of Python syntax and data structures to the complexities of portfolio optimization and risk management, each chapter unravels the intricacies of finance through Python's versatile capabilities. Learn how to analyze and visualize financial data, implement trading strategies, and backtest their performance. Understand the nuances of financial modeling, from regression analysis to managing the ever-present shadow of risk. But this book is not just about theory; it's a hands-on manual packed with real-world examples, code snippets, and practical exercises. By the end of your journey, you'll not only appreciate the profound impact Python has on finance but also be equipped to navigate the ever-evolving landscape of quantitative analysis. Go beyond the numbers; decode the language of finance with Python. Your journey into the world of quantitative finance starts here.

Product Specifications

Format: hardcover
ASIN: B0CK3Q8DB3
Category: Books > Subjects > Science, Nature & Maths > Nature > Education
Domain: Amazon UK
Release Date: 28 September 2023
Listed Since: 29 September 2023

Barcode

No barcode data available

Quant_Py: Python for Quantitative Finance

Price History & Forecast

No Price Data Available

Price Distribution

Description

Product Specifications

Barcode

Similar Products You Might Like

Practical Quantitative Finance with Python: A Comprehensive Guide to Quantitative Analysis and Trading Strategy Development

Quantitative Risk Management Using Python: An Essential Guide for Managing Market, Credit, and Model Risk

Quantitative Finance with Case Studies in Python: A Practical Guide to Investment Management, Trading and Financial Engineering (Chapman and Hall/CRC Financial Mathematics Series)

Quantitative Trading Strategies Using Python: Technical Analysis, Statistical Testing, and Machine Learning

An Introduction To Python For Quantitative Finance: From Scratch To Productivity

Ultimate Quant Job Interview Questions Workbook: Brief Crash Courses and Real Interview Questions taking you from Beginner to Wall Street Offers (The ... Quantitative Trading Strategies with Python)

Quantitative Algorithm Design for FX Markets: Building High-Frequency Trading Systems With Python (The Artificial Edge: Quantitative Trading Strategies with Python)

Machine Learning for Factor Investing: Python Version (Chapman and Hall/CRC Financial Mathematics Series)

Python for Algorithmic Trading Cookbook: Recipes for designing, building, and deploying algorithmic trading strategies with Python

Algorithmic Trading Hands-On Approach Using Python

Quantitative Trading Systems: How to Build Automated Options and Volatility Strategies in Python: A Comprehensive Guide

Deep Learning in Quantitative Finance (Wiley Finance)

Stochastic Finance with Python: Design Financial Models from Probabilistic Perspective

Learning Quantitative Finance with R

Financial Modelling in Python (The Wiley Finance Series)

Quantitative Portfolio Management: with Applications in Python (Springer Texts in Business and Economics)

Quantitative Portfolio Management: with Applications in Python (Springer Texts in Business and Economics)

Derivatives Analytics with Python: Data Analysis, Models, Simulation, Calibration and Hedging (The Wiley Finance Series)

Quantitative Finance (Statistics in Practice)

Quantitative Finance with C# .NET Blazor: A Practical Guide for Quant Developers and Individual Traders

High-Frequency Trading and Order Book Dynamics (The Artificial Edge: Quantitative Trading Strategies with Python)

The Backtesting Masterclass: Build, Validate, and Optimize with Python: Ideas are cheap. Verified performance is priceless.

Market Making Algorithms: 33 Comprehensive Powerful Algorithms With Full Python Code

Reinforcement Learning for Finance: A Python-Based Introduction