Algorithmic Trading

Ernie Chan

Reading Time

at 250 WPM

3h 44m

The average reader, reading at a speed of 250 WPM, would take 3h 44m to read Algorithmic Trading.

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Enter speed in words per minute

8

days at 30 min/day

224

total minutes

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Algorithmic Trading

by Ernie Chan

Published

2014

Publisher

Wiley & Sons, Limited, John

Pages

224

ISBN-13

9781118676998

Description

Algorithmic Trading provides an understanding of the core concepts in quantitative trading, an understanding of the process of using mathematics and statistics to analyze the profitability of a trading model, a hands on experience of how backtesting is done, and an understanding of pair trading in stocks, ETFs, futures and currencies. Chan shows investors how to use Excel and MatLab to build their own algo trading tools, as well as FX1, an FX trading platform growing in popularity.He also shows investors how to conduct quantitative research and analysis, and turn quantitative trading strategies into profits using stocks, ETFs, futures, and other financial instruments.

Subjects

Program trading (securities)StocksAlgorithmsInvestment analysisExchange traded fundsBusiness enterprisesFinanceCorporationsComputer algorithmsAnalyse financièreActions (Titres de société)Trackers (Finances)AlgorithmesNégociation assistée par ordinateur (Valeurs mobilières)BUSINESS & ECONOMICSInvestments & SecuritiesGeneral
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Frequently Asked Questions

How many pages are in Algorithmic Trading?

This edition of Algorithmic Trading has approximately 224 pages. Please note, this is an estimate and the exact page count can vary between hardcover, paperback, and e-book versions.

How long does it take to read Algorithmic Trading?

For most readers, Algorithmic Trading typically takes between 4h 40m and 3h 7m to complete. This is based on the book's length of approximately 56,000 words and common reading speeds.

Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 3h 44m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 8 days • Estimated word count: 56,000 words

Your individual reading time will vary based on your personal reading pace, the amount of daily reading time, and your familiarity with the subject matter.

What is the word count of Algorithmic Trading?

The estimated word count for Algorithmic Trading is approximately 56,000 words. This figure is calculated using industry-standard methods that consider genre-specific word density patterns, typical formatting and layout characteristics, and standard words-per-page ratios for published books.

This is an approximation — actual word count may vary based on font size, formatting, edition, and the presence of illustrations or charts.

Who is the author of Algorithmic Trading?

Algorithmic Trading was written by Ernie Chan.

When was Algorithmic Trading published?

The publication date for this specific edition is 2014. The original work may have been published on a different date.