Derivative Python

Derivatives with Python: An Introduction to Algorithmic Trading with Python (The Perfect Trader with Python)

Derivatives with Python: An Introduction to Algorithmic Trading with Python (The Perfect Trader with Python) by Hayden Van Der Post, Alice Schwartz
English | December 12, 2023 | ISBN: N/A | ASIN: B0CQ3YNW8L | 212 pages | EPUB | 1.44 Mb

Derivatives with Python  eBooks & eLearning

Posted by eBookRat at Dec. 15, 2023
Derivatives with Python

Derivatives with Python: An Introduction to Algorithmic Trading with Python (The Perfect Trader with Python)
by Hayden Van Der Post, Alice Schwartz

English | 12 Dec. 2023 | ISBN: N/A | ASIN: B0CQ3YNW8L | 220 Pages | PDF | 42 MB

Unlock the potential of financial markets with "Derivatives with Python," the essential guide that combines powerful analytical tools and techniques with the versatile programming skills you need to succeed in the complex world of derivative trading. Whether you're a finance professional, a data analyst, or an aspiring trader, this book will elevate your skill set and help you gain a competitive edge in the fast-paced trading environment.
Data Analytics of Stock Price Movements with Python: Statistical Techniques in Python Applied to Security Analysis

Data Analytics of Stock Price Movements with Python: Statistical Techniques in Python Applied to Security Analysis
.MP4, AVC, 1920x1080, 30 fps | English, AAC, 2 Ch | 1h 25m | 1.45 GB
Instructor: Matthew Macarty
Machine Learning and Data Science Blueprints for Finance: From Building Trading Strategies to Robo-Advisors Using Python

Machine Learning and Data Science Blueprints for Finance: From Building Trading Strategies to Robo-Advisors Using Python by Hariom Tatsat, Sahil Puri, Brad Lookabaugh
English | November 10, 2020 | ISBN: 1492073059 | PDF | 432 pages | 13.6 MB

Basic Statistics & Regression for Machine Learning in Python  eBooks & eLearning

Posted by ELK1nG at April 28, 2021
Basic Statistics & Regression for Machine Learning in Python

Basic Statistics & Regression for Machine Learning in Python
MP4 | Video: h264, 1280x720 | Audio: AAC, 44100 Hz
Language: English | Size: 3.21 GB | Duration: 5h 25m

A quick and easy guide on statistical regression for machine learning

Python For Finance And Algorithmic Trading With Quantconnect  eBooks & eLearning

Posted by Sigha at March 26, 2023
Python For Finance And Algorithmic Trading With Quantconnect

Python For Finance And Algorithmic Trading With Quantconnect
Last updated 5/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 8.72 GB | Duration: 22h 51m

Learn to use Python, Pandas, Matplotlib, and the QuantConnect Lean Engine to perform financial analysis and trading

Computer Vision-Theory & Projects in Python for Beginners  eBooks & eLearning

Posted by ELK1nG at March 4, 2021
Computer Vision-Theory & Projects in Python for Beginners

Computer Vision-Theory & Projects in Python for Beginners
MP4 | h264, 1280x720 | Lang: English | Audio: aac, 44100 Hz | 26h 59m | 10.6 GB

Computer Vision-Become an ace of Computer Vision, Detect Shapes and Create Apps using Python, OpenCV, TensorFlow, etc.

Numerical Methods in Physics with Python (2nd Edition)  eBooks & eLearning

Posted by hill0 at Sept. 3, 2023
Numerical Methods in Physics with Python (2nd Edition)

Numerical Methods in Physics with Python
English | 2023 | ISBN: 1009303856 | 705 Pages | PDF | 10 MB
SciPy and StatsModels for Financial Modeling: Unlock the Power of Data-Driven Decisions with Python

SciPy and StatsModels for Financial Modeling: Unlock the Power of Data-Driven Decisions with Python (Python Libraries for Finance) by Hayden Van Der Post, Reactive Publishing, Alice Schwartz
English | June 1, 2024 | ISBN: N/A | ASIN: B0D2S6T9PJ | 624 pages | EPUB | 1.49 Mb

Listed Volatility and Variance Derivatives: A Python-based Guide  eBooks & eLearning

Posted by l3ivo at Jan. 4, 2021
Listed Volatility and Variance Derivatives: A Python-based Guide

Yves Hilpisch, "Listed Volatility and Variance Derivatives: A Python-based Guide"
English | 2016 | ISBN: 1119167914 | 368 pages | EPUB | 53.7 MB