Survey of Fintech 2026 Release (ISE) By John Nofsinger, Sean Stein Smith
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Survey of Fintech 2026 Release (ISE) By John Nofsinger, Sean Stein Smith

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321
File size
6.6 MB
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Digital PDF
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eBook[PDF]
About this ebook
The Survey of Fintech (2026 Release) textbook, co-authored by John Nofsinger, Sean Stein Smith, and Yosef Bonaparte, covers a comprehensive mix of blockchain technology, artificial intelligence, and digital disruption across 14 distinct chapters. [1]
The curriculum is divided into two primary conceptual frameworks: Decentralized Finance (DeFi) & Crypto, followed by AI & Institutional Disruptions. [1, 2]
🪙 Part 1: Decentralized Finance, Blockchain, and Crypto
  • DeFi Foundations: Introduction to decentralized finance, cryptoassets, and the foundational history behind alternative financial ecosystems. [1, 2, 3, 4]
  • Blockchain Mechanics: The technical structures, nodes, cryptography, and consensus mechanisms powering distributed ledgers. [1]
  • Real-World Protocols: Deep-dives into the architecture, mining, and smart contracts of specific core assets like Bitcoin, Ethereum, and alternative layer-1 altcoins. [1]
  • Web3 Ecosystems: Practical exploration of decentralized applications (dApps), initial coin offerings (ICOs), and non-fungible tokens (NFTs). [1, 2]
  • Crypto Compliance: Specialized accounting standards, taxation frameworks, and international crypto regulatory trends. [1, 2]
📊 Part 2: Artificial Intelligence and Banking Disruptions
  • AI & Machine Learning Foundations: Core engineering concepts behind data training models, neural networks, and computer intelligence in finance.
  • Predictive Financial AI: Machine learning deployment for algorithmic trading models, automated fraud detection, and digital risk mitigation.
  • Alternative Financing: Mechanics of crowd-sourced capital, peer-to-peer (P2P) lending models, and decentralized credit evaluation.
  • Modern Payments & Infrastructure: The transition toward decentralized payment rails, API-driven Open Banking, and next-generation mobile banking systems.
  • Digital Wealth Management: Operational structures behind retail robo-advisors, automated asset allocation, and algorithmic trading platforms.
  • Risk & AI Ethics: Corporate governance, consumer safety risks, systemic FinTech regulation, and the ethical parameters of AI deployment. [1, 2, 3, 4]

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Topics

AI & Machine Learning Foundations: Core engineering concepts algorithmic trading platforms. Alternative Financing: Mechanics of crowd-sourced capital API-driven Open Banking architecture mining and smart contracts of Bitcoin Ethereum Artificial Intelligence and Banking Disruptions Blockchain Mechanics: The technical structures nodes cryptography computer intelligence in finance. Crypto Compliance: Specialized accounting standards data training models neural networks DeFi Foundations: Introduction to decentralized finance cryptoassets deployment for algorithmic trading models Digital Wealth Management: Operational structures behind retail robo-advisors initial coin offerings (ICOs) international crypto regulatory trends mechanisms powering distributed ledgers Modern Payments & Infrastructure: The transition toward decentralized payment rails next-generation mobile banking systems. non-fungible tokens (NFTs) Risk & AI Ethics: Corporate governance consumer safety risks Web3 Ecosystems: Practical exploration of decentralized applications (dApps)
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