The End of Algorithmic Trading: Building Resilient Automated Systems in Evolving Markets

As markets evolve, traditional algorithmic trading systems face new challenges—from fragmented liquidity across chains to adversarial on‑chain bots. In The End of Algorithmic Trading, Steven Paul examines the architectural limits of automated strategies and teaches you how to design resilient, adaptive systems that can operate reliably in decentralized and centralized environments. 

• Analyze failure points in common trading algorithms under high‑volatility and low‑liquidity conditions. 
• Build fallback mechanisms using on‑chain oracles and multi‑exchange routing. 
• Implement real‑time monitoring scripts with code examples to detect and mitigate flash crashes and front‑running bots. 

This workbook‑style guide includes hands‑on exercises, sample code, and system diagrams—ideal for quantitative developers, blockchain engineers, and technical architects who need to future‑proof their trading infrastructure.

1147384633
The End of Algorithmic Trading: Building Resilient Automated Systems in Evolving Markets

As markets evolve, traditional algorithmic trading systems face new challenges—from fragmented liquidity across chains to adversarial on‑chain bots. In The End of Algorithmic Trading, Steven Paul examines the architectural limits of automated strategies and teaches you how to design resilient, adaptive systems that can operate reliably in decentralized and centralized environments. 

• Analyze failure points in common trading algorithms under high‑volatility and low‑liquidity conditions. 
• Build fallback mechanisms using on‑chain oracles and multi‑exchange routing. 
• Implement real‑time monitoring scripts with code examples to detect and mitigate flash crashes and front‑running bots. 

This workbook‑style guide includes hands‑on exercises, sample code, and system diagrams—ideal for quantitative developers, blockchain engineers, and technical architects who need to future‑proof their trading infrastructure.

8.95 In Stock
The End of Algorithmic Trading: Building Resilient Automated Systems in Evolving Markets

The End of Algorithmic Trading: Building Resilient Automated Systems in Evolving Markets

by Adaptive Publishing Group, Steven Nohr
The End of Algorithmic Trading: Building Resilient Automated Systems in Evolving Markets

The End of Algorithmic Trading: Building Resilient Automated Systems in Evolving Markets

by Adaptive Publishing Group, Steven Nohr

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Overview

As markets evolve, traditional algorithmic trading systems face new challenges—from fragmented liquidity across chains to adversarial on‑chain bots. In The End of Algorithmic Trading, Steven Paul examines the architectural limits of automated strategies and teaches you how to design resilient, adaptive systems that can operate reliably in decentralized and centralized environments. 

• Analyze failure points in common trading algorithms under high‑volatility and low‑liquidity conditions. 
• Build fallback mechanisms using on‑chain oracles and multi‑exchange routing. 
• Implement real‑time monitoring scripts with code examples to detect and mitigate flash crashes and front‑running bots. 

This workbook‑style guide includes hands‑on exercises, sample code, and system diagrams—ideal for quantitative developers, blockchain engineers, and technical architects who need to future‑proof their trading infrastructure.


Product Details

BN ID: 2940181702769
Publisher: Adaptive Publishing Group
Publication date: 05/04/2025
Sold by: Draft2Digital
Format: eBook
File size: 307 KB

About the Author

Steven Nohr

Technology Strategist | Innovator | Patent Holder

Steven Nohr is a technology strategist, product architect, and intellectual property developer with over 25 years of experience spanning global markets, emerging platforms, and disruptive systems design.

He holds multiple patents across critical innovation zones — including adaptive computing, immersive hardware, modular image editing systems, decentralized infrastructure, wearable tech, and smart airport systems. In 2002, he patented the world's first decentralized peer-to-peer network (US_7802724_B1), nearly a decade before Satoshi Nakamoto's Bitcoin white paper.

Since 2016, Steven has been deeply engaged in blockchain architecture, DeFi systems, and Web3 infrastructure — including predictive automation tools, API-based market analysis, and NFT signal detection. He is the Co-Founder of Crypto Formula Foundation, a next-gen educational series delivering crypto intelligence through structured eBooks and data-driven video courses.

He also leads Adaptive Publishing Group, distributing future-focused content globally — bridging real-world systems with accessible knowledge, many of which are tied to patents.

A former Regional Strategy Director and Senior Product Lead, Steven has launched innovation programs across Asia-Pacific and North America, with deep expertise in edge computing, AI modeling, decentralized infrastructure, and synthetic computing design. His primary motivation is legacy — building tools and knowledge systems to empower tomorrow's minds, starting with his own son.

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