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Sloane D: ANCHORED VWAP FOR SWING
TRADERS

ANCHORED VWAP FOR SWING TRADERS

»Das Gute an Klaus ist, dass er - anders als so viele andere - tatsächlich dabei war.« Sir Paul McCartney Klaus Voormann war einer der gefragtesten Bassisten in den 60er- und 70er-Jahren. Er hatte Hits als Mitglied der Band von Manfred Mann, war zusammen mit Eric Clapton und Alan White Gründungsmitglied von »John Lennons Plastic Ono Band« und entwarf legendäre Plattencover wie »Revolver« von den Beatles. Aber vor allem war und ist Voormann seit über 65 Jahren ein enger Weggefährte der Liverpooler Band. Er hat John, Paul, George und Ringo, seit sie in Hamburg 1960 Freunde wurden, regelmäßig getroffen und enge persönliche und professionelle Kontakte gepflegt. Von dieser außergewöhnlichen Karriere und Freundschaft erzählt sein Buch. Über zwanzig Jahre nach ihrem ersten Erscheinen ist die Nachfrage nach dieser aussergewöhnliche Autobiografie des »5. Beatles« bei Fans und Musikinteressierten immer noch ungebrochen groß , nicht nur aufgrund des Revivals, das die Fab Four zur Zeit über die Generationen hinweg erleben. Ein neues Vorwort des Autors und bislang unveröffentlichtes Bildmaterial machen diese Wiederentdeckung zu einem must have für alle Fans. Die einmalige limitierte Luxusausgabe: Für Liebhaber und Sammler als edel ausgestattetes Hardcover im Schmuckschuber – numeriert und vom Künstler signiert, mit Lesebändchen und einem beigelegten exklusiven Kunstdruck. Ausstattung: mit zahlreichen s/w-Abbildungen

Erinnerungen an die Beatles und viele andere Freunde

»Warum spielst du Imagine nicht auf dem weißen Klavier, John?«

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

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.

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

In einer Welt, in der Künstliche Intelligenz, Blockchain und Big Tech die Märkte in Rekordtempo umwälzen, stellt sich für Anleger nur eine Frage:&nbsp;
 

 Wie unterscheidet man einen nachhaltigen Trend von einer gefährlichen Spekulationsblase? "Tech Money" liefert die Antwort durch ein messerscharfes, datenbasiertes System. Anstatt auf vage Prognosen zu setzen, führt Igor Pejic die Leser durch 100 ausgewählte Charts, welche die verborgenen Muster der Technologiezyklen offenlegen. Sie lernen nicht nur, die Mechanismen hinter exponentiellem Wachstum zu verstehen, sondern entwickeln eine klare Strategie für den idealen Ein- und Ausstieg. Dieses Buch ist der strategische Masterplan für alle, die technologische Disruption nicht nur beobachten, sondern aktiv zur massiven Vermögensbildung nutzen wollen.

In einer Welt, in der Künstliche Intelligenz, Blockchain und Big Tech die Märkte in Rekordtempo umwälzen, stellt sich für Anleger nur eine Frage:&nbsp;
 
 Wie unterscheidet man einen nachhaltigen Trend von einer gefährlichen Spekulationsblase? „Tech Money“ liefert die Antwort durch ein messerscharfes, datenbasiertes System. Anstatt auf vage Prognosen zu setzen, führt Igor Pejic die Leser durch 100 ausgewählte Charts, welche die verborgenen Muster der Technologiezyklen offenlegen. Sie lernen nicht nur, die Mechanismen hinter exponentiellem Wachstum zu verstehen, sondern entwickeln eine klare Strategie für den idealen Ein- und Ausstieg. Dieses Buch ist der strategische Masterplan für alle, die technologische Disruption nicht nur beobachten, sondern aktiv zur massiven Vermögensbildung nutzen wollen.

Börsenerfolg mit Alphabet, Nvidia und Co

Tech Money

A Practitioner's Manual

Model Risk Management for Large Language Models in Financial Services

Dynamics, Risks and Systemic Implications

The Leveraged Loan Market

An Integrated Approach to Uncertainty

Strategic Decision-Making

The primary objective of this work is to develop a behavioral basis for an AI algorithm to assist managers of finance, production, and marketing divisions of firms in imperfect markets. Production, sales revenue, external finance, and networth (market value of the fixed assets) have the pivotal role as objectives. However, all of them cannot be maximized simultaneously due to the interdependence among them. The managers tend to pursue the most valuable objective using the most productive strategy at each point of time. This was utilized as a basis for the AI algorithm. Non-linearities in the switches in objectives and strategies are a short run phenomenon while swaps will be preferred if firms have a long run advantage. Such observed phenomena were also incorporated in the specification of the AI algorithms. The important results are as follows. (i) In most industries the shortage of demand is not a constraint. Instead, the ability of firms to increase their strategic supply is dominant. (ii) Most firms pursue strategic supply based on the capital stock available. This indicates a preference for external finance. (iii) In the short run firms utilize working capital finance and selling costs to ensure that the sales revenue achieved is commensurate with the strategic supply. (iv) Thus, the postulate that expected demand determines the strategic supply as well as the profit maximization postulate for the short run do not appear as the priorities.

The primary objective of this work is to develop a behavioral basis for an AI algorithm to assist managers of finance, production, and marketing divisions of firms in imperfect markets. Production, sales revenue, external finance, and networth (market value of the fixed assets) have the pivotal role as objectives. However, all of them cannot be maximized simultaneously due to the interdependence among them. The managers tend to pursue the most valuable objective using the most productive strategy at each point of time. This was utilized as a basis for the AI algorithm. Non-linearities in the switches in objectives and strategies are a short run phenomenon while swaps will be preferred if firms have a long run advantage. Such observed phenomena were also incorporated in the specification of the AI algorithms.&nbsp;The important results are as follows. (i) In most industries the shortage of demand is not a constraint. Instead, the ability of firms to increase their strategic supply is dominant. (ii) Most firms pursue strategic supply based on the capital stock available. This indicates a preference for external finance. (iii) In the short run firms utilize working capital finance and selling costs to ensure that the sales revenue achieved is commensurate with the strategic supply. (iv) Thus, the postulate that expected demand determines the strategic supply as well as the profit maximization postulate for the short run do not appear as the priorities.

Towards an AI Algorithm for Multiple Objectives in Imperfect Markets

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

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

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

ANCHORED VWAP FOR SWING TRADERS

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