Inside the Black Box: A Simple Guide to Systematic Investing, 3rd Edition
Simple Systematic Investing: Inside the Black Box is Rishi K Narang’s accessible guide to quantitative and algorithmic trading, presented in non-mathematical terms. This third edition covers developments including machine learning, alternative data, research approaches, portfolio optimisation and execution.
At a glance
- Explains quantitative and algorithmic trading in non-mathematical terms, according to the listing.
- The third edition updates material on machine learning, signal mixing, data extraction, execution and alternative data.
- Also discusses research approaches and portfolio optimisation.
Often bought together
Pros and cons
Pros
- A conceptual introduction aimed at readers who want to understand systematic trading without a mathematical presentation.
- The revised edition addresses newer topics in quantitative investing alongside research and portfolio optimisation.
- The listing describes real-world stories and anecdotes alongside the explanations.
Cons
- The non-mathematical approach may not provide the technical depth sought by readers looking for equations or implementation instructions.
Technical specifications
9 specifications| Publisher | Wiley |
|---|---|
| Edition | 3rd |
| Publication date | 8 July 2024 |
| Language | English |
| Print length | 368 pages |
| ISBN-10 | 1119931894 |
| ISBN-13 | 978-1119931898 |
| Weight listed | 544 g |
|---|---|
| Dimensions | 16 x 2.54 x 23.11 cm |
Who is it for?
A good fit for
- Readers seeking a conceptual introduction to quantitative and algorithmic trading.
- Quants from outside finance looking for a framework for systematic trading concepts.
- Investors interested in machine learning, alternative data, research methods and portfolio optimisation.
Less suited to
- Readers seeking a mathematically detailed textbook or step-by-step coding guide.
Customer reviews on Amazon
- 5 stars
72% 72% - 4 stars
14% 14% - 3 stars
14% 14% - 2 stars
0% 0% - 1 star
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Aggregate ratings are generally positive, with five-star ratings forming the largest share, while some ratings are three-star. This offers a cautiously favourable signal, but ratings alone do not explain readers’ reasons or establish how the book handles its topics in practice.
Frequently asked questions
Is this book aimed at readers without a mathematical background?
The listing says it explains quantitative and algorithmic trading in non-mathematical terms, making it suited to readers seeking a conceptual treatment rather than a mathematical one.
What topics does the third edition cover?
The listing highlights machine learning for alpha, signal mixing, data extraction, execution, alternative data, research approaches and portfolio optimisation.
Which edition is listed?
The product details identify this as the 3rd edition, published on 8 July 2024.
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