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Johnson W: Quantitative Trading
Strategies

Quantitative Trading Strategies

A Guide to Market-Beating Algorithms

Understanding the Derivative Market provides foundational knowledge of the financial system, including financial instruments, intermediaries, and spot markets, setting the stage for comprehending complex derivative instruments. Derivative markets are crucial for risk management, price discovery, and efficient capital allocation within the global economy. However, their inherent complexity, diverse applications, and potential for significant financial impact necessitate a thorough and systematic understanding to navigate their intricacies effectively.

This book systematically explores the primary types of derivative contracts, beginning with forward and futures contracts, detailing their application across various asset classes like debt, equity, foreign exchange, and commodities, alongside their market organization and strategic use in hedging. It then delves into swap agreements, including interest rate, currency, equity, and commodity swaps. Option contracts are examined, covering fundamental principles, valuation, and advanced strategies. Further topics address securitisation, credit derivatives, and specialized instruments such as environmental, weather-related, physical commodity, and energy derivatives, outlining their structures and functions.

This comprehensive resource is designed for students, researchers, and professionals seeking a robust and detailed understanding of the derivative market.

Understanding the Derivative Market

Disruptive Finance: Algos, P2P, and Climate Risk in India The global financial landscape is fracturing under the weight of exponential technological acceleration, regulatory shifts, and climate transition mandates. Disruptive Finance: Algos, P2P, and Climate Risk in India delivers a high-octane empirical masterclass on how these powerful forces are actively rewriting the rules of risk and market efficiency in one of the world's most dynamic financial systems.Bridging high-frequency market microstructure and retail fintech, this groundbreaking book uncovers the hidden friction points of modern finance. Discover how the microsecond-level speed of algorithmic trading both stabilizes continuous equity volatility and triggers sudden liquidity withdrawals through order cancellation cascades across global venues and the National Stock Exchange of India (NSE). Peer into the primary market mechanics of Exchange-Traded Funds (ETFs) to see how high-speed arbitrageurs drive price discovery before underlying stock baskets can adjust.Beyond secondary trading, the narrative pivots to credit democratization and sustainability. Learn how the Reserve Bank of India's (RBI) macroprudential capital tightening on traditional banking unleashes massive credit migration to digital Peer-to-Peer (P2P) lending platforms, demonstrating crucial policy spillovers. Finally, explore how options markets quantify corporate sustainability credibility under SEBI's Business Responsibility and Sustainability Reporting (BRSR) framework-punishing unverified "greenwashing" and rewarding credible, third-party assured targets with compressed downside tail-risk premiums.Armed with advanced econometrics and driven by real-world regulatory shocks, this book is the definitive, forward-looking playbook for quantitative fund managers, regulators, and financial economists eager to master the structural future of emerging financial architecture.

Algos, P2P, and Climate Risk in India

Disruptive Finance

Springer Texts in Business and Economics

After having considered the core activities of providing loans and accepting deposits in the first volume, the second volume of this textbook analyses banks in its wider economic context, that is in relationship with each other and other competitors and stakeholders. After studying the competition between banks and how this affects bank behaviour, this volume assesses how banks are managed internally; rather than taking the balance sheet of banks as given, it explores how an optimal balance sheet might look like, how employees are remunerated and how they are acting when representing the bank. The important topic of how bank failures can spread, systemic risk, is also considered, alongside an evaluation of the effectiveness of banking regulation. The final part considers the impact that banks have on the wider economy and how their decisions can affect macroeconomic outcomes.

Commercial Banking in Context

Theoretical Foundations of Commercial Banking - Vol.2

A bold retelling of the story of capitalism that treats the core concepts of economics as living, breathing beings, blending fiction and fact to upend 250 years of economic orthodoxy. For a quarter of a millennium, Adam Smith’s invisible hand, ghostly and bloodied, has written the script of our lives. Everyman makes the ethereal ink in which it is etched legible by embodying the solitary, self-interested homo economicus—or “rational actor”—as Neo. Told as an imaginative novel, Everyman traces global capitalism’s arc from boom to bust through Neo and his reckless apostles: Finn, the archetypal finance bro; Davos, the ambassador of globalization; Wash, the envoy to distant lands; and Tek, the quintessence of the tech industry. In a dazzling saga spanning generations and continents, Neo’s epic journey takes us from Chicago to New York to London, from Wall Street to Burning Man, from the factories of the Rust Belt to the farmlands of India, introducing us to the economic minds and political figures who have shaped our world, everyday people, and even runaway monsters. An entertaining magical realist romp, Everyman touches on the most significant economic events in global history, from the Great Depression to the 2008 Financial Crisis, Britain’s Brexit vote to the inexorable rise of populism globally. Drawing on moral psychology, philosophy, evolutionary biology, and beyond, it animates the possibilities for how we might build on our capacity for cooperation to reinvent our broken institutions—and ourselves. By breaking form to ignite our moral imaginations, it presents a vision for rewriting our modern-day mythology, our economic theory. Everyman asks: by recasting economics’ strawman protagonist as a flesh-and-blood character, can we turn the plot of our lives from an inevitable tragedy to a redemption story and alter the destiny of our civilization?

The Untold Story of Economics

Everyman

The third volume of this textbook contains problem sets that allow models to be applied to specific scenarios. The aim of these problems is to show the relevance of the results these models provide to analyse events, provide recommendations, or critique decisions made. This is achievable without referring to the details of the model and the formal mathematical results but using the often scarce information provided to approach the problem intuitively, informed by the models discussed in volumes I and II. Using such an approach also strengthens the understanding of the implications these models have for decision-making in banks or by policymakers.

Problem Sets

Theoretical Foundations of Commercial Banking - Vol.3

As artificial intelligence (AI), big data, and automation increasingly shape economic systems, understanding human decision-making within these models becomes critically important. The integration of intelligent technologies is not only transforming traditional sectors like finance, transportation, and hospitality, but also redefining how individuals interact with markets and make economic choices. Insights into behavioral responses, algorithmic influence, and the psychological underpinnings of decisions are essential to navigate this evolving landscape. Understanding Human Decision-Making in Economic Models explores how emerging technologies like AI and big data are reshaping economic models by influencing human decision-making. It offers insights into behavioral economics, intelligent systems, and policy responses needed to navigate the disruptions of a rapidly evolving digital economy. Covering topics such as financial markets, personnel management, and industrial production, this book is an excellent resource for academicians, economists, data scientists, policy makers, business strategists, researchers, graduate students, and more.

Understanding Human Decision-Making in Economic Models

Palgrave Studies in Economic History

This book chronicles the ascension of the New York Stock Exchange, detailing its remarkable rise to preeminence and its lasting impact on financial history.


In the 1830s, New York, Philadelphia, and Boston each had a stock exchange. These were the New York Stock Exchange (NYSE), Philadelphia Stock Exchange, and Boston Stock Exchange. As there was no reliable means of communicating between these cities in real time, each exchange served its local market. The 1840s brought an innovation in communications technology: the telegraph, which, in time, brought these exchanges into competition with each other.


Three previously independent stock markets became, in effect, a single market. If a security was listed on more than one exchange, potential buyers and sellers could choose the exchange on which to execute a trade in this security. This book details how the NYSE emerged as the winner of this competition. 


Chapters analyze key moments in history that made the NYSE a reliable location to trade securities that evoked regional and eventually national interest. This analysis is applied to the competition between (i) stock exchanges today; (ii) taxi ride-booking services such as Uber and Ola; (iii) restaurant to home, food delivery services, such a Zomato and Swiggy; and (iv) doorstep delivery services, such as Blinkit and Zepto.


The resulting book provides the untold history of the NYSE and its rise to preeminence in the American economy.

How Innovations in Communications Technology Influenced Regional Exchanges in the United States, 1830–1860

The Telegraph and Stock Exchanges

What if the most important question about a financial system is not where its price will move next, but what the system will still be able to do afterward? Beyond the Price introduces Wave Liquidity Redistribution Theory (WLRT) - a framework for understanding liquidity not simply as an amount of money or an ability to buy and sell, but as a dynamic system of states, constraints, transitions, and redistributions. Beginning with familiar questions about money, markets, and price, Petr Popov gradually develops a different way of seeing financial systems. The book introduces redistribution waves, Phase Time, Adaptive State Space, Liquidity Redistribution Capacity, Fragility and Compensation, and the three laws of WLRT. It then tests how far this language can travel - from financial markets to adaptive systems, machine agents, and asynchronous environments. At the center of the book is a simple but consequential idea: two systems of equal value may possess very different capacities for future action. A successful decision may increase immediate gain while reducing future flexibility; a reserve may be valuable not because it earns more today, but because it preserves possibilities for tomorrow. Written as a scientific-popular introduction rather than a technical monograph, Beyond the Price combines conceptual reasoning, simple formal models, thought experiments, and practical intuition. It does not promise certainty about the future. Instead, it asks how systems can remain capable of acting when the future is uncertain. Ultimately, the book moves beyond the question "How much is it worth?" toward another:

Liquidity, Redistribution, and the Hidden Architecture of Complex Systems

Beyond the Price

The first volume of this book discusses in detail the role of banks in the economy before focussing on the provision of loans and their financing through deposits. These core activities by banks are analysed in detail, including how banks deal with strategic default, what role collateral plays in the lending process, how important relationship banking is to banks and borrowers, amongst many other topics. The implications for banks of financing long-term loans with short-term deposits are considered alongside remedies to overcome the resulting problems of this are explored. With deposits also being important for depositors as a means of making payments for goods and services, such account services are also covered in this volume.

Core Activities of Commercial Banks

Theoretical Foundations of Commercial Banking - Vol.1

The Notion of the Intelligent Investor addresses the critical domain of financial investment, a field essential for individual wealth accumulation and economic stability. Navigating volatile markets, distinguishing genuine investment from speculative ventures, and mitigating the erosive effects of inflation present significant challenges for both novice and experienced participants. Understanding the foundational principles and historical context of market behavior is paramount for sound financial decision-making.

This comprehensive volume systematically explores core investment concepts, from establishing general portfolio policies for defensive and enterprising investors to detailed strategies for common stock selection. It delves into security analysis, valuation techniques, and the nuances of advanced investment instruments. Furthermore, the book examines the impact of market fluctuations, the role of investment funds, and the importance of corporate governance and the margin of safety principle.

This book is an indispensable resource for students, financial professionals, and individual investors seeking to cultivate a disciplined and informed approach to the financial markets.

The Notion of the Intelligent Investor

Most trading books promise prediction. This one does not.The foreign exchange market moves trillions of dollars a day, and no participant - not a central bank, not a dealing desk, not an algorithm - can forecast it reliably. What survives is not the trader with the better forecast but the trader with the better structure.FX Market Structure and Systematic Trading is a 580-page treatment of how that structure is built. It begins with the nature of money itself and the historical shifts from the gold standard to floating rates, then works through the mechanics of the modern market: who is required to trade currency and why, how dealers absorb that flow and manage inventory, and how price is actually formed at the point of execution.From there the book turns to design. It develops the FXMS (FX Market Structure) Framework across five stages - market structure, system design, algorithms, risk management, and execution infrastructure - treating each as an engineering problem rather than a matter of opinion.The closing chapters carry the work through to implementation. Readers build a seven-module trading system in Python and MQL5, covering data ingestion, signal generation, pre-trade risk checks, order execution, position management, logging and monitoring, and continuous VPS operation.Readers will learn to: - Read the structure of the foreign exchange market rather than chase its price- Design a trading system from stated assumptions instead of curve-fitted rules- Validate ideas against data, with an honest account of what backtests can and cannot show- Systematize risk management and capital operations so that survival precedes profit- Implement and operate a live system in Python and MQL5Written for practitioners, quantitative researchers, and serious independent traders who want to understand why a market behaves as it does before deciding what to do about it.

From the Nature of Money to Algorithmic Systems

FX Market Structure and Systematic Trading

algo_trade_mac

"The Algorithmic Trading Machine: Architecture, Engineering, and Automation"

The Algorithmic Trading Machine is a practical blueprint for engineers, quants, and technically minded traders who want to build institutional-grade trading systems rather than toy backtests. Instead of treating trading as a black box of "alpha," this book walks you through the machinery itself: how data flows, how decisions are computed, and how orders traverse the market. It is written for readers who care as much about latency, robustness, and deployment as they do about Sharpe ratios.

Across seven tightly integrated parts, the book connects market microstructure, statistical modeling, and software architecture into a coherent end-to-end design. You will learn how to engineer clean market data pipelines; construct and validate signals with modern statistical and machine learning methods; design event-driven backtesters; and translate research into production via services, APIs, and automated CI/CD. The text then advances to portfolio optimization, cost-aware execution, low-latency infrastructure, and the governance, observability, and operational workflows that keep real capital safe.

A working knowledge of Python, basic probability, and linear algebra is assumed, but each chapter is self-contained and oriented toward implementable patterns rather than theory alone. Emphasis is placed on reproducibility, automation, and realistic constraints, making the book equally suitable for prop desks, fintech startups, and independent technologists determined to build a serious algorithmic trading machi

Architecture, Engineering, and Automation

The Algorithmic Trading Machine

Quantitative Trading Strategies

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