Pik / Ghosh Hands-On Financial Trading with Python

A practical guide to using Zipline and other Python libraries for backtesting trading strategies
1. Auflage 2021
ISBN: 978-1-83898-880-7
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 360 Seiten

No detailed description available for "Hands-On Financial Trading with Python".

Autoren/Hrsg.

Pik, Jiri

Ghosh, Sourav

Fachgebiete

• Mathematik | Informatik EDV | Informatik Business Application Mathematische & Statistische Software
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsvisualisierung

Inhaltsverzeichnis

Table of Contents - Introduction to algorithmic trading
- Exploratory Data Analysis in Python
- High-speed Scientific Computing using NumPy
- Data Manipulation and Analysis with Pandas
- Data Visualization using Matplotlib
- Statistical Estimation, Inference, and Prediction
- Financial Market Data Access in Python
- Introduction to Zipline and PyFolio
- Fundamental algorithmic trading strategies

Über Autor(innen)

Pik Jiri:

Jiri Pik is an artificial intelligence architect & strategist who works with major investment banks, hedge funds, and other players. He has architected and delivered breakthrough trading, portfolio, and risk management systems, as well as decision support systems, across numerous industries. Jiri's consulting firm, Jiri Pik—RocketEdge, provides its clients with certified expertise, judgment, and execution at the speed of light.Ghosh Sourav:

Sourav Ghosh has worked in several proprietary, high-frequency algorithmic trading firms over the last decade. He has built and deployed extremely low latency, high-throughput automated trading systems for trading exchanges around the world, across multiple asset classes. He specializes in statistical arbitrage market-making and pairs trading strategies with the most liquid global futures contracts. He is currently the vice president at an investment bank based in São Paulo, Brazil. He holds a master's in computer science from the University of Southern California. His areas of interest include computer architecture, FinTech, probability theory and stochastic processes, statistical learning and inference methods, and natural language processing.