Algorithmic Trading Methods: Applications using Advanced Statistics, Optimization, and Machine Learning Techniques
Original price was: $5.00.$2.50Current price is: $2.50.
Robert Kissell
Product Specs:
- File Type: PDF
- File Size: 13.3 MB
- Book Language: English
- Total Page Count: 614
- Instant Download
Algorithmic trading with a quant-first lens
Algorithmic Trading Methods: Applications using Advanced Statistics, Optimization, and Machine Learning Techniques is a second edition deep dive into the analytical side of trading execution. Robert Kissell brings together market microstructure, transaction cost analysis, market impact, probability, regression, optimization, and machine learning in a format that speaks to the demands of real trading environments.
This is not a casual overview. The book is built for readers who want to understand how algorithmic trading decisions are measured, compared, and improved. It moves from core definitions and trading classifications into the tools used to evaluate performance, model costs, estimate market impact, and support better execution decisions.
What the book emphasizes
- Algorithmic trading concepts and classifications
- Transaction cost analysis and implementation shortfall
- Market impact modeling and cost allocation
- Probability, statistics, and distribution-based methods
- Linear and probability models used in trading analysis
- Optimization and machine learning applications in trading workflows
Built for serious trading and finance readers
The structure and subject matter make this a strong fit for quantitative finance readers, trading professionals, graduate students, and researchers who need a disciplined framework for execution analysis. It also suits anyone comparing trading algorithms, studying best execution, or working with market impact and transaction cost models in practice.
A focused reference for modern execution problems
With its emphasis on advanced statistics and model-driven decision-making, the book serves as a technical reference for understanding how institutional trading systems are evaluated and refined. If your work touches execution quality, trade scheduling, or the measurement of trading costs, this is the kind of book that rewards careful reading.
Additional Book Details
Book specifications and digital file information
User Reviews
Be the first to review “Algorithmic Trading Methods: Applications using Advanced Statistics, Optimization, and Machine Learning Techniques”
You must be logged in to post a review.
Original price was: $5.00.$2.50Current price is: $2.50.
There are no reviews yet.