Sign In Start Free Trial
Account

Add to playlist

Create a Playlist

Modal Close icon
You need to login to use this feature.
  • Learn Algorithmic Trading
  • Toc
  • feedback
Learn Algorithmic Trading

Learn Algorithmic Trading

By : Sebastien Donadio, Sourav Ghosh
3.8 (10)
close
Learn Algorithmic Trading

Learn Algorithmic Trading

3.8 (10)
By: Sebastien Donadio, Sourav Ghosh

Overview of this book

It’s now harder than ever to get a significant edge over competitors in terms of speed and efficiency when it comes to algorithmic trading. Relying on sophisticated trading signals, predictive models and strategies can make all the difference. This book will guide you through these aspects, giving you insights into how modern electronic trading markets and participants operate. You’ll start with an introduction to algorithmic trading, along with setting up the environment required to perform the tasks in the book. You’ll explore the key components of an algorithmic trading business and aspects you’ll need to take into account before starting an automated trading project. Next, you’ll focus on designing, building and operating the components required for developing a practical and profitable algorithmic trading business. Later, you’ll learn how quantitative trading signals and strategies are developed, and also implement and analyze sophisticated trading strategies such as volatility strategies, economic release strategies, and statistical arbitrage. Finally, you’ll create a trading bot from scratch using the algorithms built in the previous sections. By the end of this book, you’ll be well-versed with electronic trading markets and have learned to implement, evaluate and safely operate algorithmic trading strategies in live markets.
Table of Contents (17 chapters)
close
Free Chapter
1
Section 1: Introduction and Environment Setup
3
Section 2: Trading Signal Generation and Strategies
6
Section 3: Algorithmic Trading Strategies
10
Section 4: Building a Trading System
14
Section 5: Challenges in Algorithmic Trading

Creating a trading strategy based on momentum and trend following

Momentum strategy uses the trend to predict the future of a price. For instance, if the price of an asset has increased for the last 20 days, it is likely that this price will continue rising. The moving average strategy is one example of momentum strategy.

Momentum strategies assume that the future will follow the past by following an upward or a downward trend (divergence or trend trading). Momentum investment has been used for decades: buying low, selling high, buying high, and selling higher, selling the losers and letting the winners ride; all these techniques are the origin of momentum trading. Momentum investing adopts short-term positions in relation to financial products going up and sells them when they go down. When we use a momentum strategy, we try to be ahead of the market; we trade...

Unlock full access

Continue reading for free

A Packt free trial gives you instant online access to our library of over 7000 practical eBooks and videos, constantly updated with the latest in tech
bookmark search playlist download font-size

Change the font size

margin-width

Change margin width

day-mode

Change background colour

Close icon Search
Country selected

Close icon Your notes and bookmarks

Delete Bookmark

Modal Close icon
Are you sure you want to delete it?
Cancel
Yes, Delete