Quantitative Momentum

Quantitative Momentum: A Practitioner's Guide to Building a Momentum-Based Stock Selection System

Quantitative Momentum: A Practitioner's Guide to Building a Momentum-Based Stock Selection System (Wiley Finance) by Wesley R. Gray
English | 13 Sept. 2016 | ASIN: B01LY6P2LB | 169 pages | True AZW3 | 3.92 MB

The individual investor's comprehensive guide to momentum investing
Quantitative Momentum: A Practitioner’s Guide to Building a Momentum-Based Stock Selection System

Wesley R. Gray, Jack R. Vogel, "Quantitative Momentum: A Practitioner’s Guide to Building a Momentum-Based Stock Selection System"
English | ISBN: 111923719X | 2017 | 208 pages | EPUB | 4 MB

Stock Market Factor Investing - Quantitative Trading  eBooks & eLearning

Posted by ELK1nG at Dec. 1, 2022
Stock Market Factor Investing - Quantitative Trading

Stock Market Factor Investing - Quantitative Trading
Published 12/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 610.49 MB | Duration: 0h 55m

Succeed as a Stock Market Investor Using top Hedge Fund Trading Strategies

Master Algorithmic Trading & Quantitative Finance + Python +  eBooks & eLearning

Posted by BlackDove at Feb. 24, 2023
Master Algorithmic Trading & Quantitative Finance + Python +

Master Algorithmic Trading & Quantitative Finance + Python +
Updated 2/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 77 lectures • 4h 24m | Size: 2.05 GB


Unlock the Power of Quant Trading Factor Investing: Build Optimally Diversified Risk Strategies with Superior Returns
Quantitative Trading Strategies Using Python: Technical Analysis, Statistical Testing, and Machine Learning

Quantitative Trading Strategies Using Python: Technical Analysis, Statistical Testing, and Machine Learning
English | 2023 | ISBN: 1484296753 | 341 pages | True PDF,EPUB | 16.3 MB

Build and implement trading strategies using Python. This book will introduce you to the fundamental concepts of quantitative trading and shows how to use Python and popular libraries to build trading models and strategies from scratch. It covers practical trading strategies coupled with step-by-step implementations that touch upon a wide range of topics, including data analysis and visualization, algorithmic trading, backtesting, risk management, optimization, and machine learning, all coupled with practical examples in Python.

Quantitative Strategies for Achieving Alpha (McGraw-Hill Finance & Investing)  eBooks & eLearning

Posted by Alexpal at June 15, 2010
Quantitative Strategies for Achieving Alpha (McGraw-Hill Finance & Investing)

Quantitative Strategies for Achieving Alpha (McGraw-Hill Finance & Investing)
480 pages | McGraw-Hill Professional (2008-11-21) | ISBN-10: 0071549846 | PDF | 8 Mb

Alpha, higher-than-expected returns generated by an investment strategy, is the holy grail of the investment world. Achieve alpha, and you've beaten the market on a risk-adjusted basis. Quantitative Strategies for Achieving Alpha was borne from equity analyst Richard Tortoriello's efforts to create a series of quantitative stock selection models for his company, Standard & Poor's, and produce a road map of the market from a quantitative point of view.
With this practical guide, you will gain an effective instrument that can be used to improve your investment process, whether you invest qualitatively, quantitatively, or seek to combine both. Each alpha-achieving strategy has been extensively back-tested using Standard & Poor's Compustat Point in Time database and has proven to deliver alpha over the long term. Quantitative Strategies for Achieving Alpha presents a wide variety of individual and combined investment strategies that consistently predict above-market returns. The result is a comprehensive investment mosaic that illustrates clearly those qualities and characteristics that make an investment attractive or unattractive.

Quantitative Strategies for Achieving Alpha (McGraw-Hill Finance & Investing)  eBooks & eLearning

Posted by karapuzik at Jan. 7, 2009
Quantitative Strategies for Achieving Alpha (McGraw-Hill Finance & Investing)

Quantitative Strategies for Achieving Alpha (McGraw-Hill Finance & Investing)
480 pages | McGraw-Hill Professional (2008-11-21) | ISBN-10: 0071549846 | PDF | 8,6 Mb

Alpha, higher-than-expected returns generated by an investment strategy, is the holy grail of the investment world. Achieve alpha, and you've beaten the market on a risk-adjusted basis. Quantitative Strategies for Achieving Alpha was borne from equity analyst Richard Tortoriello's efforts to create a series of quantitative stock selection models for his company, Standard & Poor's, and produce a road map of the market from a quantitative point of view.
Quantitative Strategies for Achieving Alpha: The Standard and Poor's Approach to Testing Your Investment Choices (repost)

Quantitative Strategies for Achieving Alpha: The Standard and Poor's Approach to Testing Your Investment Choices by Richard Tortoriello
English | 480 pages | 2008-11-21 | ISBN-10: 0071549846 | PDF | 11,3 Mb

Alpha, higher-than-expected returns generated by an investment strategy, is the holy grail of the investment world. Achieve alpha, and you've beaten the market on a risk-adjusted basis.
Quantitative Strategies for Achieving Alpha: The Standard and Poor's Approach to Testing Your Investment Choices (repost)

Quantitative Strategies for Achieving Alpha: The Standard and Poor's Approach to Testing Your Investment Choices by Richard Tortoriello
English | 480 pages | 2008-11-21 | ISBN-10: 0071549846 | PDF | 11,3 Mb

Quantitative Strategies for Achieving Alpha  eBooks & eLearning

Posted by interes at March 1, 2013
Quantitative Strategies for Achieving Alpha

Quantitative Strategies for Achieving Alpha
English | 480 pages | (2008-11-21) | ISBN-10: 0071549846 | PDF | 11 Mb

Alpha, higher-than-expected returns generated by an investment strategy, is the holy grail of the investment world. Achieve alpha, and you've beaten the market on a risk-adjusted basis. Quantitative Strategies for Achieving Alpha was borne from equity analyst Richard Tortoriello's efforts to create a series of quantitative stock selection models for his company, Standard & Poor's, and produce a road map of the market from a quantitative point of view.