Skip to content

Booksellers & Trade Customers: Sign up for online bulk buying at trade.atlanticbooks.com for wholesale discounts

Booksellers: Create Account on our B2B Portal for wholesale discounts

Retail Algo Trading Mastery: From Idea to Execution in Python & Live Markets: A Comprehensive Guide with Python

by Danny Munrow , Caden Holbrook
Save 13% Save 13%
Current price ₹3,438.00
Original price ₹3,942.00
Original price ₹3,942.00
Original price ₹3,942.00
(-13%)
₹3,438.00
Current price ₹3,438.00

Imported Edition - Ships in 18-21 Days

Free Shipping in India on orders above Rs. 500

Request Bulk Quantity Quote
+91
Book cover type: Paperback
  • ISBN13: 9798276209166
  • Binding: Paperback
  • Subject: N/A
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Publication Date:
  • Pages: 432
  • Original Price: GBP 30.32
  • Language: English
  • Edition: N/A
  • Item Weight: 577 grams
  • BISAC Subject(s): Languages / Python

Reactive Publishing

You don't need a PhD, a Bloomberg terminal, or institutional capital to trade like a quant.
You need a system.

Retail Algo Trading Mastery is a complete, end-to-end playbook for retail traders who want to transform ideas into live, automated trading systems using Python, data-driven workflows, and modern execution tools. Whether you're developing your first strategy or optimizing a full portfolio of algos, this book takes you through every stage of the process, from signal generation to backtesting, validation, execution, monitoring, and scaling into real markets.

Caden Holbrook breaks down the methods used by systematic traders, prop desks, and small quantitative funds, and shows how to adapt them for retail-level capital without sacrificing performance or professionalism.

This isn't a "learn indicators" book.
This is algorithmic trading the way real system designers build it.


Inside, You'll Learn How To:

- Turn raw trading ideas into mathematically testable systems
Build structured logic that converts intuition into reliable signals.

- Work with market data the right way
Sourcing, cleaning, normalizing, and engineering features for real-world robustness.

- Backtest strategies in Python
Using vectorization, custom engines, walk-forward loops, and multi-regime analysis.

- Avoid false confidence
Validation methods that protect you from overfitting, parameter bloat, and hidden fragility.

- Automate execution
From building API connections to creating order engines, dynamic sizing, risk rules, and monitoring dashboards.

- Run systems in live markets
Bridging the gap between backtest and reality, latency, slippage, fills, outages, and state management.

- Build a multi-strategy portfolio
Combining signals, allocating capital, smoothing volatility, and maximizing long-term return quality.

- Scale your trading operation
Infrastructure, code architecture, logging, alerts, cloud deployment, and continuous improvement pipelines.


Who This Book Is For

This book is designed for retail traders who want to graduate from manual trading to full automation. It's also ideal for early-stage quants, prop-firm hopefuls, or anyone ready to build professional-grade systems without institutional overhead.

If you want to think, design, test, and execute like a systematic trader, this book is your complete roadmap.

Master the workflow.
Design better systems.
Trade with precision.

Trusted for over 49 years

Family Owned Company

Secure Payment

All Major Credit Cards/Debit Cards/UPI & More Accepted

New & Authentic Products

India's Largest Distributor

Need Support?

Whatsapp Us