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Sloane D: ANCHORED VWAP FOR SWING
TRADERS

ANCHORED VWAP FOR SWING TRADERS

Springer Texts in Business and Economics

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.

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

This Palgrave Pivot develops an interdisciplinary approach to household financial decision-making by integrating behavioral finance, consumer finance, financial planning, and human-centered artificial intelligence. Moving beyond investor- and market-focused traditions, it situates financial risk tolerance, financial stress, and dynamic behavioral signals within the lived contexts of households, advisors, and institutions. The book reconceptualizes risk tolerance as a time-varying behavioral construct, positions financial stress as a core mechanism shaping decision-making and well-being, and introduces a framework of behavioral signals, including consumer complaints, sentiment, and market mood, that may precede price movements.It further examines how machine learning and AI can interpret these signals while reshaping financial advice, alongside their methodological limits and ethical implications for accountability and client autonomy. By linking psychological states, behavioral data, and advisory practice, the book offers a structured research agenda for behavioral personal finance and contributes to debates on financial well-being, vulnerability, and technology-mediated decision-making. It will be of interest to scholars and advanced students in behavioral finance, financial planning, consumer science, and decision psychology, as well as practitioners and policymakers concerned with AI and household financial behavior.Wookjae Heo
 is Associate Professor of Consumer Science at Purdue University. His research focuses on financial risk tolerance, financial stress, consumer financial behavior, and the application of machine learning and natural language processing in personal finance. He has published widely in leading journals in consumer finance and financial planning and is known for advancing behavioral personal finance as an interdisciplinary field linking household decision-making, well-being, and human-centered AI.

This Palgrave Pivot develops an interdisciplinary approach to household financial decision-making by integrating behavioral finance, consumer finance, financial planning, and human-centered artificial intelligence. Moving beyond investor- and market-focused traditions, it situates financial risk tolerance, financial stress, and dynamic behavioral signals within the lived contexts of households, advisors, and institutions. The book reconceptualizes risk tolerance as a time-varying behavioral construct, positions financial stress as a core mechanism shaping decision-making and well-being, and introduces a framework of behavioral signals, including consumer complaints, sentiment, and market mood, that may precede price movements.It further examines how machine learning and AI can interpret these signals while reshaping financial advice, alongside their methodological limits and ethical implications for accountability and client autonomy. By linking psychological states, behavioral data, and advisory practice, the book offers a structured research agenda for behavioral personal finance and contributes to debates on financial well-being, vulnerability, and technology-mediated decision-making. It will be of interest to scholars and advanced students in behavioral finance, financial planning, consumer science, and decision psychology, as well as practitioners and policymakers concerned with AI and household financial behavior.

Risk Tolerance, Financial Stress, and Human-Centered AI

Behavioral Personal Finance

Artificial intelligence has crossed the liability Rubicon. It is no longer a backend IT experiment governed by soft ethics, voluntary frameworks, and vague policy statements; it is a material financial asset driving enterprise revenue and unprecedented legal exposure. As we transition into Industry 5.0, algorithms are making autonomous, consequential decisions at machine speed. Yet, corporate boards and risk committees are attempting to govern these gigahertz systems using static compliance checklists designed for a slower, simpler era. The result is a looming crisis of algorithmic discrimination, regulatory friction, and catastrophic reputational decay. When an opaque, black-box model hallucinates financial advice or leaks proprietary trade secrets, the ensuing failure cascade can destroy billions in market capitalization overnight.AI Governance and Risk Management provides the definitive, boardroom-ready blueprint for surviving the fragmented global regulatory dragnet. This book dismantles the illusion of traditional "Human-in-the-Loop" oversight, proving that true algorithmic safety requires hard, architectural constraints. Drawing on decades of technology operations and academic leadership, the text translates classical financial auditing principles into executable machine logic. The author brings unparalleled practical experience-from supporting six Silicon Valley startups in client-facing roles to develop computer vision use cases, to leading over 30 continuous improvement projects for Cisco Systems. Having authored foundational texts on Segregation of Duties (SOD) and Hierarchical SOD two decades ago, and backed by 15 years of teaching financial risk management, this expertise culminates in the AI Integrity Framework (AIIF). This Hamiltonian approach empowers organizations to embed continuous improvement cycles and strict SOD directly into their deployment pipelines.Readers will discover how to engineer automated "Build Breaks," architect deterministic kill switches, and secure the unstructured data supply chain against copyright contamination and intellectual property theft. By shifting from reactive public relations to proactive "Governance as Code," Chief Risk Officers, legal counsel, and audit committees can mathematically prove fiduciary control to regulators across overlapping jurisdictions, from California to the European Union.Authored by a veteran industry practitioner, creator of five previous Wiley &amp; Sons texts, and current developer of the Industry 5.0 and AI curriculum at Santa Clara University, this release is not a theoretical ethics manual. It is an uncompromising operational survival guide. It provides the exact structural tools necessary to transform artificial intelligence from an unquantified off-balance-sheet liability into a fully auditable, legally defensible, and highly profitable enterprise asset.

The AI Integrity Framework (AIIF) for Enterprise Control and Regulatory Compliance

Auditable AI Governance and Risk Management

Dynamics, Risks and Systemic Implications

The Leveraged Loan Market

Everyone can name the patterns. Almost nobody can explain what is happening behind them - or why the same shape works one week and fails the next.

This book takes the opposite approach to every chart atlas on the shelf. It contains no diagrams, no annotated screenshots, and no catalogue of formations. Not because pictures are hard to print, but because a picture of a pattern teaches its conclusion before you can question it. Everything here is explained in plain prose, so you build the picture yourself - and keep the ability to ask what else could have caused it.

The argument is simple and uncomfortable. A chart pattern is not a cause. It is the visible residue of thousands of people and machines transacting for reasons that have nothing to do with the shape on your screen. Treat the residue as a rule, and you will lose slowly and without ever understanding why.

WHAT'S INSIDE

- Who is actually on the other side of every trade, and why they were willing
- What liquidity really means, stripped of the vagueness: spread, depth, resilience, and why it vanishes exactly when you need it
- How a price move is born - information, inventory, mechanical flow, or pure noise - and why all four produce identical-looking bars
- Why context (volatility, session, instrument, era) decides everything, and why conditioning on it destroys your sample
- The base rate problem: what "it works 70% of the time" actually asserts, and why the number is almost always meaningless as stated
- Survivorship: why every example you have seen was filtered, including the ones in your own memory
- How a sincere, careful backtest fools itself without anyone cheating
- Spread, slippage, financing and commission - the invisible tax that turns a real edge into a certain loss
- The arithmetic of drawdown, position size, and why survival beats accuracy
- What genuinely survives when the mythology is removed

What the Price Is Actually Telling You

Platform Supply Chains in the AI Era

This open access book provides a systematic and in-depth analysis of the critical risks inherent in modern platform-based supply chains. Employing rigorous analytical methods, including game theory and advanced, computationally efficient simulation techniques, it delves into three core areas: operational risks, information and data risks, and quality and compliance risks. The book moves beyond traditional supply chain paradigms to address challenges unique to the platform economy. This includes the strategic threat of platforms using seller data to launch competing products, the complex trade-offs in managing third-party product quality, the impact of reactive capacity on quality decisions, and the challenge of optimizing inventory across networks of unprecedented scale. It is an essential resource for graduate students, academic researchers, and advanced practitioners in the fields of operations management, supply chain management, and information systems. The content is suitable for readers with a graduate-level understanding of these disciplines.

This open access book provides a systematic and in-depth analysis of the critical risks inherent in modern platform-based supply chains. Employing rigorous analytical methods, including game theory and advanced, computationally efficient simulation techniques, it delves into three core areas: operational risks, information and data risks, and quality and compliance risks. The book moves beyond traditional supply chain paradigms to address challenges unique to the platform economy. This includes the strategic threat of platforms using seller data to launch competing products, the complex trade-offs in managing third-party product quality, the impact of reactive capacity on quality decisions, and the challenge of optimizing inventory across networks of unprecedented scale.
 
 It is an essential resource for graduate students, academic researchers, and advanced practitioners in the fields of operations management, supply chain management, and information systems. The content is suitable for readers with a graduate-level understanding of these disciplines.

Risk Management

Platform Supply Chains 5

This textbook examines how artificial intelligence, machine learning, generative AI, and data-driven decision systems are reshaping financial services. Moving from core AI concepts to applied financial use cases, it covers credit risk assessment, fraud detection, Monte Carlo methods, stock and cryptocurrency valuation, knowledge graphs, AI-enabled IoT, large language models, Retrieval-Augmented Generation (RAG), AI agents, and no-code AI platforms. It also looks at infrastructure choices for enterprise AI, including cloud and on-premise deployment, before turning to sustainable finance, greenwashing detection, and AI governance in regulated environments. Throughout, the book emphasizes decision quality, transparency, accountability, model risk management, and practical implementation. It will be of interest to upper-level undergraduate and postgraduate students in finance, banking, FinTech, risk management, and business analytics, as well as practitioners seeking a structured introduction to AI applications and governance in finance.
 Migdat Hodžić
 is Principal and Chief Technology Officer at ARTI Analytics and a professor at the International University of Sarajevo and Džemal Bijedić University of Mostar. He holds a PhD from Santa Clara University and works across artificial intelligence, machine learning, optimization, and quantitative finance. He has led applied AI research and product development in Europe and the United States and is an inventor on multiple US patents.
 Tarik Hubana
 is Chief Operating Officer at ARTI Analytics and Assistant Professor at Džemal Bijedić University of Mostar. He holds a PhD in technical sciences from TU Graz and works on applied AI, machine learning, predictive modelling, and enterprise AI systems. His academic and industry experience spans analytics, digital transformation, and AI deployment in data-intensive sectors. He leads applied AI research and product development in Europe and the United States and is an inventor on multiple US patents.
 Admir Mešković
 is Assistant Professor of Finance at the International University of Sarajevo and Manager of the Center for Islamic Finance, Innovation and Sustainability. He holds a PhD in Finance from the University of Sarajevo and an MBA from Durham University Business School. His research focuses on Islamic finance, FinTech, risk management, and sustainable finance.

This textbook examines how artificial intelligence, machine learning, generative AI, and data-driven decision systems are reshaping financial services. Moving from core AI concepts to applied financial use cases, it covers credit risk assessment, fraud detection, Monte Carlo methods, stock and cryptocurrency valuation, knowledge graphs, AI-enabled IoT, large language models, Retrieval-Augmented Generation (RAG), AI agents, and no-code AI platforms. It also looks at infrastructure choices for enterprise AI, including cloud and on-premise deployment, before turning to sustainable finance, greenwashing detection, and AI governance in regulated environments. Throughout, the book emphasizes decision quality, transparency, accountability, model risk management, and practical implementation. It will be of interest to upper-level undergraduate and postgraduate students in finance, banking, FinTech, risk management, and business analytics, as well as practitioners seeking a structured introduction to AI applications and governance in finance.

From Theory to Practice

Artificial Intelligence in Finance

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.

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

Methods and Tools for Resilience and Dynamic Risk Assessment of Chemical Processes introduces systematic approaches in risk assessment in chemical process safety along with relevant tools, models, and the latest methodologies for assessing safety and resilience in chemical processes, systems engineering, risk and resilience engineering, and simulation and modeling. Chapters outline the theoretical framework of chemical process safety, emphasizing the integration of safety into chemical engineering through key ideas like inherent safety and corporate culture and highlight the significance of Process Hazard Identification (PHI) methods, including traditional techniques and advancements such as AI, for effectively identifying and mitigating hazards. Further chapters investigate advanced hazard assessment methodologies like Systems Theoretic Process Analysis (STPA) and Risk-Based Process Safety (RBPS), alongside dynamic risk assessment techniques. The text also discusses the evolution of "resilience" in process safety, resilience assessment methods, and simulation tools for enhancing safety. It includes real-world case studies coupled with insights on future trends in technology to help researchers and students alike to conduct their own future research into risk and resilience assessment in chemical process safety fields.

Methods and Tools for Resilience and Dynamic Risk Assessment of Chemical Processes

PAY ZERO TAXES! DEDUCT EVERYTHING!Hundreds of Tax Tips, Legal Write-Offs, Credits, and LoopholesREVISED &amp; UPDATED TO INCLUDE EVEN MORE TAX BREAKS FROM TRUMP'S ONE BIG BEAUTIFUL BILL!President Trump's tax cuts have reduced taxes by trillions and trillions of dollars. Now DEDUCT EVERYTHING! shows how you can benefit from hundreds of deductions, loopholes and tax secrets. You'll also read about the "Trump Tax Loophole" that can slash your personal taxes by an additional 20% instantly! That's if you qualify -- and many Americans do. Find more than 200 deductions, write-offs and legal loopholes, including: <ul><li>Buy a new car up to $40,000 and write it off immediately! </li><li>All NEW! Big changes for medical expenses!</li><li>3 deductions that usually slip right past the IRS. This is Tip #1 for a reason!</li><li>Get the government to help pay your energy bill. </li><li>The most overlooked tax deduction -- many accountants don't even know it!</li><li>How you can still deduct the mortgage interest on TWO homes!</li><li>Take $10,000 of distributions from 529s to help cover the cost of home schooling.</li><li>A better way to save for college..</li></ul>NEWSMAX says "If you want to pay zero taxes, get DEDUCT EVERYTHING! It's possible!"

Hundreds of Tax Tips, Legal Write-Offs, Credits, and Loopholes

Deduct Everything!

The price has moved. You're still deciding.
Buy now, and you might be chasing. Wait, and the opportunity might leave without you. Sell, and you could watch the price recover. Hold, and a manageable loss could become an uncomfortable one.
It's easy to recognize these moments. Understanding how to work through them takes more than a familiar-looking candle.
Buy or Sell? The Ultimate Guide to Candlestick Patterns brings the chart and the decision together. With clear explanations, illustrated examples, and guided walkthroughs, Julian Mercer takes you through what each pattern means, what buyers and sellers have achieved, and what the next candles need to show before you consider acting.

You'll learn how to:Read 25 essential candlestick patterns, understanding their formation, possible implications, and the evidence that strengthens or weakens a signal.
Connect candles with trends, support, resistance, volume, and timeframes so you can judge a setup in its surroundings.
Work through realistic decisions: a missed breakout, a falling position, a growing profit, or the temptation to buy more at a lower price.
Plan entries, exits, and position sizes while understanding how much money your decision puts at risk.
Evaluate stocks, funds, and crypto, including the importance of dividends, market capitalization, liquidity, and what you actually own.



Each explanation leads you forward: read the candles, understand the movement, follow the evidence, and consider your choices. You'll explore how a promising pattern can develop,
stall, or fail-and how that changes the decision in front of you.

A bonus Candlestick Shortcut Chart and an extensive trading glossary give you practical references to return to as your understanding grows.
Whether you're opening your first chart or bringing more structure to your trading, this book helps you build a thoughtful, repeatable approach to buying, selling, holding, and waiting.

The next time your hand hovers over Buy or Sell, have more than a feeling behind it. Have a reason you can explain.

Read Price Action with Clarity and Turn Chart Signals into Confident Trading Decisions

Buy or Sell? The Ultimate Guide to Candlestick Patterns

A practical guide to the business vehicle which for many is the entity of choice for the forward thinking professional services firm and general businesses. It offers clear descriptions of the nature and consequences of LLPs and assists with the process of conversion from a partnership, covering: the formation of and transfer of a business to an LLP; relationships between members, the LLP and themselves; accounting; taxation; and insolvency; and precedents. Practically oriented and written this comprehensive handbook is invaluable for every limited liability partnership and every partnership planning to convert. This title is included in Bloomsbury Professional's Partnerships online service.

A practical guide to the business vehicle which for many is the entity of choice for the forward thinking professional services firm and general businesses.

It offers clear descriptions of the nature and consequences of LLPs and assists with the process of conversion from a partnership, covering: the formation of and transfer of a business to an LLP; relationships between members, the LLP and themselves; accounting; taxation; and insolvency; and precedents.

Practically oriented and written this comprehensive handbook is invaluable for every limited liability partnership and every partnership planning to convert.

This title is included in Bloomsbury Professional's Partnerships online service.

Limited Liability Partnership Handbook

ANCHORED VWAP FOR SWING TRADERS

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