Masters in Applied Professional Trading (MBA) is an institutional-standard Masters in Trading programme created and taught by Sachin Kotecha. It teaches how financial markets are analysed, how risk is managed, and how decisions are structured across economic cycles, integrating macroeconomics, market structure, technical analysis, psychology, execution, and professional risk management into a single, process-led framework.
What Is the Masters in Applied Professional Trading?
The Masters in Applied Professional Trading is a comprehensive Masters in Trading designed to build professional-grade market understanding, analytical structure, and disciplined decision-making. Instead of teaching disconnected strategies, the programme develops a coherent system for interpreting global financial markets across different regimes.
How Does This Masters in Trading Work?
The programme is delivered through 25 advanced modules and 500+ structured lectures, progressing logically from foundations to advanced professional frameworks. Each module builds on the previous one to ensure continuity, depth, and cumulative understanding.
- Market structure, liquidity, and participant behaviour
- Macroeconomic and intermarket analysis across asset classes
- Technical market structure and multi-timeframe analysis
- Market microstructure and execution mechanics
- Trading psychology and decision-making under uncertainty
- Professional risk management and exposure frameworks
- Quantitative reasoning and AI-supported research workflows
How a Masters in Trading Differs From Trading Courses
Many trading courses teach individual tools or tactics. A Masters in Trading builds a complete decision system that connects analysis, execution, and risk across market cycles.
| Trading Courses | Masters in Trading |
|---|---|
| Often focuses on individual skills, tools, or tactics | Builds frameworks, systems, and decision discipline |
| Can be fragmented by topic | Integrates macro, structure, execution, psychology, and risk |
| May emphasise strategies or setups | Emphasises research standards, repeatability, and risk realism |
| Typically shorter and narrower in scope | Designed for depth and progression over market cycles |
What You Learn in the Masters in Applied Professional Trading
You begin with how markets function structurally—how prices form, where liquidity sits, and how volatility evolves as participants interact.
You then develop a macroeconomic and intermarket framework, covering monetary policy, interest rates, inflation, growth cycles, labour markets, trade flows, fiscal policy, and geopolitics, and how these forces transmit through currencies, equities, commodities, and fixed income.
Technical analysis is taught as a professional discipline focused on structure, context, and confirmation, including trend development, liquidity zones, transitions, and multi-timeframe alignment.
Execution and microstructure modules address order flow principles, spreads, slippage, event risk, and liquidity conditions—bridging analysis to real-world implementation.
Trading psychology focuses on decision quality, emotional regulation, behavioural bias, discipline routines, and review processes that support consistency over time.
Risk management is taught through professional frameworks covering volatility awareness, scenario analysis, drawdown control, and portfolio context.
The programme also introduces quantitative reasoning and AI-supported research workflows to improve analytical repeatability.
How Long Does a Masters in Trading Take?
The Masters in Applied Professional Trading is fully self-paced with 2 years access. You can study around work and trading commitments while following a structured, progressive pathway from foundations to advanced application.
Benefits of This Masters in Trading Programme
- Structured, cross-asset understanding of global markets
- Repeatable macroeconomic and intermarket frameworks
- Professional-grade technical market interpretation
- Improved execution realism and event-risk awareness
- Stronger psychological discipline and decision consistency
- Institutional-style risk management processes
- Understanding of AI-supported research methodologies
Who Is This Masters Programme For?
- Independent traders seeking a complete professional framework
- Aspiring analysts and trading professionals
- Experienced traders refining macro, execution, or risk processes
- Strategists and investors focused on market cycles
- Entrepreneurs strengthening financial decision literacy
- Learners who value structure, discipline, and depth
About the Programme Creator – Sachin Kotecha
Sachin Kotecha is the founder of Traders MBA and the creator and lead instructor of the Masters in Applied Professional Trading. His background combines professional market analysis with engineering-based problem solving, shaping a structured, analytical approach to trading education.
Explore the broader approach to professional trading education across Traders MBA.
Frequently Asked Questions
Is this Masters in Trading suitable for beginners?
Yes. The programme starts with core foundations and progresses into advanced concepts in a structured sequence.
How long does the Masters in Applied Professional Trading take?
The programme is fully self-paced with 2 years access.
Is there a certificate upon completion?
Yes. Graduates receive the official Traders MBA Masters Certification.
How is the programme delivered?
All content is delivered online through structured video lectures taught by Sachin Kotecha.
Does this Masters cover all areas of professional trading?
Yes. The curriculum integrates macroeconomics, market structure, technical analysis, psychology, execution, risk management, quantitative reasoning, and AI-supported research workflows.
Curriculum
- 29 Sections
- 529 Lectures
- 2 Years Access
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- Preview The Masters In Applied Professional TradingGet a formal introduction to the Masters in Applied Professional Trading. This preview webinar offers a high-level look at the institutional frameworks, professional reasoning and integrated approach that underpin the programme. It provides a clear sense of how the Masters elevates your thinking, sharpens your decision-making and prepares you to operate with genuine professional competence. Watch this session to understand the standard, structure and depth you can expect before enrolling.2
- Welcome & OrientationWelcome to the Masters in Applied Professional Trading. This section sets the foundation for your entire journey. Here, you’ll gain absolute clarity on how the programme works, what to expect at each stage, and how to navigate the structure of modules, assignments, exams, mentoring sessions, and the final dissertation. You’ll establish the mindset, standards, and professional discipline required to succeed, ensuring you begin the programme with confidence, direction, and a clear understanding of the transformation ahead.1
- Module 1 – Introduction to Professional Trading & Global Market StructureThis module provides a rigorous examination of the architecture, governance, and functional mechanics of modern global financial markets. It introduces learners to the institutional ecosystem in which professional trading occurs, including exchanges, liquidity venues, intermediation structures, and regulatory oversight bodies. Emphasis is placed on the interplay between market microstructure, behavioural forces, and systemic organisation, enabling students to understand how prices emerge, how liquidity is supplied and withdrawn, and how different participant classes interact within the broader financial environment. The module establishes the essential conceptual foundations upon which advanced professional trading competence is built.23
- 3.1The Architecture of Modern Financial Markets60 Minutes
- 3.2Price Formation, Liquidity and Market Dynamics60 Minutes
- 3.3The Institutional Trading Ecosystem60 Minutes
- 3.4Market Participants and Behavioural Incentives60 Minutes
- 3.5The Role of Exchanges, ECNs and Dark Pools60 Minutes
- 3.6Understanding Market Hours, Sessions and Flows60 Minutes
- 3.7The Institutional Trading Desk Workflow60 Minutes
- 3.8Market Regimes, Volatility States and Risk Cycles60 Minutes
- 3.9Transaction Costs, Slippage and Execution Quality60 Minutes
- 3.10Systemic vs Idiosyncratic Risk in Practice60 Minutes
- 3.11Understanding Market Drivers and Cross-Asset Influence60 Minutes
- 3.12Data, News and Information Hierarchies60 Minutes
- 3.13Professional Trading Ethics and Conduct Foundations60 Minutes
- 3.14Global Regulatory Structure and Oversight60 Minutes
- 3.15Market Manipulation Risks and Detection60 Minutes
- 3.16Capital, Leverage and Margin Mechanics60 Minutes
- 3.17Institutional Risk Culture and Governance60 Minutes
- 3.18Scenario Thinking in Professional Trading60 Minutes
- 3.19Integrating Macro, Microstructure and Behaviour60 Minutes
- 3.20Building a Professional Trading Identity60 Minutes
- 3.21Module 1 – Introduction to Professional Trading & Global Market Structure – Assignment1 Week
- 3.22Aims & Objectives15 Minutes
- 3.23Module 1 – Introduction to Professional Trading & Global Market Structure – Final Exam60 Minutes60 Questions
- Module 2 – Macroeconomic Foundations & Monetary SystemsThis module offers a comprehensive and analytical exploration of global macroeconomics and its influence on financial markets. Students examine the structure and functioning of monetary systems, central banking mandates, inflation mechanisms, growth cycles, fiscal sustainability, and international capital flows. Through an academically grounded lens, the module develops deep knowledge of how macroeconomic variables shape market pricing, risk premia, and policy expectations. By the end, learners are equipped with the theoretical and empirical tools required to interpret macroeconomic information with the precision expected in institutional settings.23
- 4.1The Structure of the Global Macroeconomic System60 Minutes
- 4.2Monetary Policy: Frameworks, Tools and Transmission60 Minutes
- 4.3Inflation Dynamics and Price Stability Regimes60 Minutes
- 4.4GDP, Growth Models and Economic Cycles60 Minutes
- 4.5Labour Markets and Employment Sensitivity60 Minutes
- 4.6Fiscal Policy, Public Debt and Government Balance Sheets60 Minutes
- 4.7Central Banks: Mandates, Communication and Markets60 Minutes
- 4.8FX Reserves, Sovereign Flows and Global Capital Movement60 Minutes
- 4.9Yield Curves, Rates and Economic Signalling60 Minutes
- 4.10Business Cycles and Recession Indicators60 Minutes
- 4.11Global Trade Systems and Balance of Payments60 Minutes
- 4.12Commodity Cycles and Terms of Trade Effects60 Minutes
- 4.13Emerging Market Macro Structures60 Minutes
- 4.14Macroeconomic Surprise Indexes and Data Impact60 Minutes
- 4.15Macro Models and Forecasting Approaches60 Minutes
- 4.16Market Pricing of Macro Expectations60 Minutes
- 4.17Cross-Asset Macro Transmission Channels60 Minutes
- 4.18Structural vs Cyclical Macro Drivers60 Minutes
- 4.19Macro Risks, Shocks and Systemic Fragility60 Minutes
- 4.20Integrating Macro into a Trading Framework60 Minutes
- 4.21Module 2 – Macroeconomic Foundations & Monetary Systems – Assignment1 Week
- 4.22Aims & Objectives15 Minutes
- 4.23Module 2 – Macroeconomic Foundations & Monetary Systems – Final Exam60 Minutes60 Questions
- Module 3 – Market Microstructure & Institutional ExecutionFocusing on the granular mechanisms governing real-time price formation, this module examines order-driven markets, liquidity provision, dealer behaviour, execution pathways, and market impact. Students analyse microstructure models, execution quality metrics, transaction cost analysis, and the regulatory frameworks that govern fair and orderly markets. The module bridges academic theory with institutional practice, helping learners understand how strategic execution decisions influence realised performance and how market structure can be leveraged to generate informational and operational edge.23
- 5.1Order Types, Mechanics and Execution Pathways60 Minutes
- 5.2Limit Order Books: Behaviour and Interpretation60 Minutes
- 5.3Market Makers, Dealers and Liquidity Providers60 Minutes
- 5.4Algorithmic Execution Strategies and TCA60 Minutes
- 5.5Bid–Ask Spreads, Depth and Volume Dynamics60 Minutes
- 5.6High-Frequency Trading and Latency Impacts60 Minutes
- 5.7Dark Pools, Internalisation and Off-Exchange Flows60 Minutes
- 5.8Price Impact, Slippage and Execution Cost Modelling60 Minutes
- 5.9Trade Routing, Smart Order Execution and Venue Selection60 Minutes
- 5.10Market Manipulation Tactics and Regulatory Oversight60 Minutes
- 5.11Stop Hunting, Liquidity Gaps and Structural Risk60 Minutes
- 5.12Time-of-Day Liquidity Patterns and Seasonality60 Minutes
- 5.13Volatility Clustering and Microstructure Noise60 Minutes
- 5.14Order Flow Analysis and Liquidity Mapping60 Minutes
- 5.15Settlement Cycles, Clearing Systems and Counterparty Risk60 Minutes
- 5.16Institutional Trade Lifecycle Management60 Minutes
- 5.17Market Data Types and Professional Data Feeds60 Minutes
- 5.18Execution Governance and Best Execution Standards60 Minutes
- 5.19Operational Resilience and Execution Continuity60 Minutes
- 5.20Microstructure as an Edge in Trading Strategy60 Minutes
- 5.21Module 3 – Market Microstructure & Institutional Execution – Assignment1 Week
- 5.22Aims & Objectives15 Minutes
- 5.23Module 3 – Market Microstructure & Institutional Execution – Final Exam60 Minutes60 Questions
- Module 4 – Technical Market Structure, Price Dynamics & Trend LogicThis module provides an academically rigorous study of technical market structure, exploring the mathematical, behavioural, and structural logic underlying price patterns and trend development. Students investigate multi-timeframe behaviour, liquidity zones, momentum and mean-reversion regimes, volatility clustering, breakout mechanics, and advanced structural mapping techniques. The module emphasises interpretation rather than rote pattern recognition, cultivating an analytical framework that aligns technical evidence with institutional trading practice and real-world execution constraints.23
- 6.1Price Structure and Market Anatomy60 Minutes
- 6.2Support, Resistance and Liquidity Zones60 Minutes
- 6.3Trends, Cycles and Transitional Structures60 Minutes
- 6.4Candlestick Logic and Pattern Dynamics60 Minutes
- 6.5Multi-Timeframe Market Structure Alignment60 Minutes
- 6.6Momentum, Strength and Trend Continuation Logic60 Minutes
- 6.7Mean Reversion and Range-Bound Behaviour60 Minutes
- 6.8Volatility Contraction and Expansion Phases60 Minutes
- 6.9Volume, Participation and Energy Analysis60 Minutes
- 6.10Breakouts, Fakeouts and Trap Dynamics60 Minutes
- 6.11Institutional Order Blocks and Supply–Demand Models60 Minutes
- 6.12Moving Averages and Structural Filters60 Minutes
- 6.13Ichimoku Logic and Trend Frameworks60 Minutes
- 6.14RSI, MACD and Oscillator-Based Analysis60 Minutes
- 6.15Market Geometry, Fibs and Structural Symmetry60 Minutes
- 6.16Price Discovery, Auction Theory and Imbalance60 Minutes
- 6.17Technical Analysis in Cross-Asset Context60 Minutes
- 6.18Structural Risk Management Using Technical Logic60 Minutes
- 6.19Technical Confirmation for Fundamental Ideas60 Minutes
- 6.20Integrating Technical Analysis into a Professional System60 Minutes
- 6.21Module 4 – Technical Market Structure, Price Dynamics & Trend Logic – Assignment1 Week
- 6.22Aims & Objectives15 Minutes
- 6.23Module 4 – Technical Market Structure, Price Dynamics & Trend Logic – Final Exam60 Minutes60 Questions
- Module 5 – Fundamental & Intermarket Analysis Across Asset ClassesThis cross-disciplinary module develops a holistic understanding of fundamental drivers across equities, fixed income, commodities, and foreign exchange. Students examine valuation models, earnings dynamics, bond pricing logic, cross-asset correlations, sector rotation theory, and the behaviour of institutional allocators. A strong emphasis is placed on intermarket relationships, enabling learners to identify multi-asset signals, catalyst-driven opportunities, and structural repricing conditions. The module cultivates an integrated analytical mindset essential for advanced macro-fundamental strategy formation.23
- 7.1Equity, Bond, FX and Commodity Interdependencies60 Minutes
- 7.2Corporate Valuation Metrics and Cash Flow Logic60 Minutes
- 7.3Bond Markets, Yields and Duration Dynamics60 Minutes
- 7.4Commodities, Supply Chains and Cost-Push Effects60 Minutes
- 7.5FX Fundamentals: Policy, Flows and Trade60 Minutes
- 7.6Sector Analysis and Rotation Dynamics60 Minutes
- 7.7Credit Markets and Risk Appetite Reflection60 Minutes
- 7.8Understanding Volatility Indices and Risk Metrics60 Minutes
- 7.9Liquidity Regimes and Market Stress Indicators60 Minutes
- 7.10Cross-Asset Correlation and Divergence Mapping60 Minutes
- 7.11Earnings, Guidance and Market Sensitivity60 Minutes
- 7.12Financial Statements for Macro Traders60 Minutes
- 7.13The Role of Hedge Funds and Institutional Allocation60 Minutes
- 7.14ETFs, Structured Products and Flow Influence60 Minutes
- 7.15Fundamental Momentum and Catalyst-Based Trading60 Minutes
- 7.16Real-Time Fundamental Data Interpretation60 Minutes
- 7.17Intermarket Confirmation for Trade Ideas60 Minutes
- 7.18Regime Shifts and Asset Class Repricing60 Minutes
- 7.19Global Macro–Fundamental Integration60 Minutes
- 7.20Building a Multi-Asset Fundamental Thesis60 Minutes
- 7.21Module 5 – Fundamental & Intermarket Analysis Across Asset Classes – Assignment1 Week
- 7.22Aims & Objectives15 Minutes
- 7.23Module 5 – Fundamental & Intermarket Analysis Across Asset Classes – Final Exam60 Minutes60 Questions
- Module 6 – Trader Psychology, Behaviour & Cognitive DisciplineDrawing upon behavioural finance, cognitive science, and performance psychology, this module investigates the psychological determinants of trading outcomes. Students explore decision-making biases, emotional regulation, discipline theory, habit formation, performance resilience, and identity-based behavioural frameworks. Through a university-level academic lens, learners develop a sophisticated understanding of how cognition and emotion influence professional judgement and execution, and how psychological architecture can be engineered to support long-term, high-performance trading practice.23
- 8.1Behavioural Finance Foundations60 Minutes
- 8.2Cognitive Biases and Decision-Making Errors60 Minutes
- 8.3Emotional Regulation in High-Stakes Environments60 Minutes
- 8.4Fear, Greed and Survival Instincts in Markets60 Minutes
- 8.5Overconfidence, Loss Aversion and Anchoring60 Minutes
- 8.6Risk Perception and Misjudgement60 Minutes
- 8.7Mental Models for Professional Thinking60 Minutes
- 8.8Discipline, Consistency and Rule-Based Behaviour60 Minutes
- 8.9Stress Management and Performance Resilience60 Minutes
- 8.10Habit Formation and Behavioural Engineering60 Minutes
- 8.11Psychological Risk Management and Drawdown Control60 Minutes
- 8.12The Role of Identity in Trading Performance60 Minutes
- 8.13Cognitive Load, Focus and Information Processing60 Minutes
- 8.14Building a High-Performance Trading Mindset60 Minutes
- 8.15Decision Quality, Uncertainty and Probabilistic Thinking60 Minutes
- 8.16Emotional Intelligence for Market Interpretation60 Minutes
- 8.17Patterns of Self-Sabotage and How to Correct Them60 Minutes
- 8.18Behavioural Alignment with Trading Strategy60 Minutes
- 8.19Long-Term Psychological Conditioning60 Minutes
- 8.20Peak Cognitive Performance as a Professional Trader60 Minutes
- 8.21Module 6 – Trader Psychology, Behaviour & Cognitive Discipline – Assignment1 Week
- 8.22Aims & Objectives15 Minutes
- 8.23Module 6 – Trader Psychology, Behaviour & Cognitive Discipline – Final Exam60 Minutes60 Questions
- Module 7 – Foreign Exchange (FX) Market MasteryThis specialised module offers deep academic and practical insight into the global FX market, its institutional participants, valuation mechanisms, monetary anchors, carry structures, and policy transmission channels. Students investigate exchange-rate models, risk sentiment dynamics, global flow behaviour, hedging flows, and volatility regimes across currency pairs. The module integrates macroeconomic theory, microstructural knowledge, and market practice to develop a comprehensive understanding of professional-grade currency trading.23
- 9.1Structure of the FX Market60 Minutes
- 9.2Currency Valuation and Monetary Anchors60 Minutes
- 9.3Carry Trades and Interest Rate Differentials60 Minutes
- 9.4FX Spot, Forwards and Swaps60 Minutes
- 9.5Central Banks, FX Intervention and Policy Cycles60 Minutes
- 9.6Balance of Payments and FX Flows60 Minutes
- 9.7Global Funding Currencies and Risk Sentiment60 Minutes
- 9.8Real Effective Exchange Rates and Competitiveness60 Minutes
- 9.9FX Volatility, Term Structure and Regimes60 Minutes
- 9.10Emerging Market FX Structures60 Minutes
- 9.11Safe Haven Dynamics in FX Markets60 Minutes
- 9.12Options Markets and FX Hedging Flows60 Minutes
- 9.13FX Microstructure and Dealer Behaviour60 Minutes
- 9.14Seasonal, Cyclical and Structural FX Patterns60 Minutes
- 9.15Currency Strength Frameworks and Macro Alignment60 Minutes
- 9.16Intermarket FX Drivers: Bonds, Commodities, Equities60 Minutes
- 9.17News, Data and FX Sensitivity60 Minutes
- 9.18FX Risk Management and Position Sizing60 Minutes
- 9.19Scenario Planning for Currency Trades60 Minutes
- 9.20Constructing Professional FX Trade Strategies60 Minutes
- 9.21Module 7 – Foreign Exchange (FX) Market Mastery – Assignment1 Week
- 9.22Aims & Objectives15 Minutes
- 9.23Module 7 – Foreign Exchange (FX) Market Mastery – Final Exam60 Minutes60 Questions
- Module 8 – Fixed-Income, Bond Markets & Yield-Curve TradingThis module provides a rigorous analytical foundation in fixed-income theory and practice, exploring duration, convexity, term structure models, sovereign and corporate credit markets, curve positioning, and macro-rate sensitivity. Students assess bond market microstructure, primary dealer systems, collateral dynamics, swap structures, and liquidity considerations. Emphasis is placed on the interpretation of yield curves as forward-looking economic indicators and on the development of rate-based strategies that align macroeconomic expectations with market pricing.23
- 10.1Structure of Global Bond Markets60 Minutes
- 10.2Coupon, Duration, Convexity and Sensitivity60 Minutes
- 10.3Sovereign vs Corporate Bonds60 Minutes
- 10.4Yield Curves: Shapes, Signals and Cycles60 Minutes
- 10.5Inflation-Linked Bonds and Breakevens60 Minutes
- 10.6Central Bank Policy and Bond Market Reactions60 Minutes
- 10.7Bond Auctions, Dealers and Primary Markets60 Minutes
- 10.8Credit Spreads, Ratings and Risk Premiums60 Minutes
- 10.9Curve Trades: Steepeners, Flatteners, Butterflies60 Minutes
- 10.10Duration Hedging and Rate Risk Control60 Minutes
- 10.11Repo Markets, Collateral and Funding Stress60 Minutes
- 10.12Interest Rate Swaps and Fixed-Income Derivatives60 Minutes
- 10.13Cross-Market Rate Relationships60 Minutes
- 10.14Term Premium, Expectations Theory and Market Pricing60 Minutes
- 10.15Fixed-Income Volatility and Risk Regimes60 Minutes
- 10.16Bond Market Microstructure and Liquidity60 Minutes
- 10.17Global Debt Dynamics and Fiscal Sustainability60 Minutes
- 10.18Bond Markets in Crisis and Stress Scenarios60 Minutes
- 10.19Yield-Curve Integration into Macro Strategy60 Minutes
- 10.20Constructing Rate and Curve-Based Trading Ideas60 Minutes
- 10.21Module 8 – Fixed-Income, Bond Markets & Yield-Curve Trading – Assignment1 Week
- 10.22Aims & Objectives15 Minutes
- 10.23Module 8 – Fixed-Income, Bond Markets & Yield-Curve Trading – Final Exam60 Minutes60 Questions
- Module 9 – Equity & Index Market Structure, Valuation & FlowStudents explore the foundations of equity valuation, index construction, market microstructure, and institutional flow dynamics. The module integrates fundamental accounting concepts, earnings sensitivity, cross-sectional factor models, and market behavioural indicators. Learners examine how corporate actions, ETFs, derivatives hedging, and macro-equity relationships influence index behaviour. This academically grounded approach equips students to interpret equity and index markets within a global, multi-asset framework.23
- 11.1Equity Market Architecture and Governance60 Minutes
- 11.2Index Composition, Weighting and Rebalancing60 Minutes
- 11.3Valuation Models and Earnings Structures60 Minutes
- 11.4Revenue, Margin and Cash Flow Interpretation60 Minutes
- 11.5Passive vs Active Flows and Market Influence60 Minutes
- 11.6Market Breadth, Leadership and Confirmation60 Minutes
- 11.7Factor Investing and Smart Beta60 Minutes
- 11.8Corporate Actions and Market Impact60 Minutes
- 11.9Buybacks, Dividends and Capital Allocation60 Minutes
- 11.10ETF Dynamics and Flow Pressure60 Minutes
- 11.11Equity Volatility and Options Positioning60 Minutes
- 11.12Sector Rotation and Macro Sensitivity60 Minutes
- 11.13Equity Risk Premium and Global Allocation60 Minutes
- 11.14Microcap vs Large-Cap Behaviour60 Minutes
- 11.15Sentiment, Positioning and Market Psychology60 Minutes
- 11.16Equity–Bond Correlation Regimes60 Minutes
- 11.17Index Arbitrage and Futures Dynamics60 Minutes
- 11.18Earnings Season Trading Models60 Minutes
- 11.19Global Equity Interdependence60 Minutes
- 11.20Building Equity and Index Macro Trades60 Minutes
- 11.21Module 9 – Equity & Index Market Structure, Valuation & Flow – Assignment1 Week
- 11.22Aims & Objectives15 Minutes
- 11.23Module 9 – Equity & Index Market Structure, Valuation & Flow – Final Exam60 Minutes60 Questions
- Module 10 – Commodity & Energy Market TradingThis module delivers a thorough academic and applied study of global commodity and energy markets. Students investigate supply–demand structures, inventory cycles, cost curves, geopolitical influences, weather-driven shocks, and term-structure behaviour (contango, backwardation, basis risk). The module situates commodity markets within the broader macroeconomic ecosystem, enabling learners to understand how commodities influence—and are influenced by—currencies, rates, risk sentiment, and global growth conditions.23
- 12.1Structure of Commodity Markets60 Minutes
- 12.2Energy Fundamentals: Oil, Gas and Power60 Minutes
- 12.3Metals: Industrial and Precious60 Minutes
- 12.4Agricultural Markets and Seasonal Drivers60 Minutes
- 12.5Supply Chains, Trade Flows and Logistics60 Minutes
- 12.6OPEC, Geopolitics and Energy Policy60 Minutes
- 12.7Inventory Cycles and Storage Economics60 Minutes
- 12.8Futures Term Structure: Contango and Backwardation60 Minutes
- 12.9Basis Risk and Spread Trading60 Minutes
- 12.10Weather, Climate and Commodity Shocks60 Minutes
- 12.11Commodity Supercycles and Structural Themes60 Minutes
- 12.12Hedging Models and Commercial Flows60 Minutes
- 12.13Speculative Positioning and Fund Flows60 Minutes
- 12.14Commodity–FX Interactions60 Minutes
- 12.15Volatility in Commodity Markets60 Minutes
- 12.16Energy Transition and ESG Influence60 Minutes
- 12.17Commodity Microstructure and Liquidity60 Minutes
- 12.18News, Data and Real-Time Repricing60 Minutes
- 12.19Integrating Commodities into Macro Strategy60 Minutes
- 12.20Constructing Commodity Trade Ideas60 Minutes
- 12.21Module 10 – Commodity & Energy Market Trading – Assignment1 Week
- 12.22Aims & Objectives15 Minutes
- 12.23Module 10 – Commodity & Energy Market Trading – Final Exam60 Minutes60 Questions
- Module 11 – Derivatives, Volatility & Options StructuresThis module provides a robust academic grounding in derivatives theory, volatility modelling, and option-pricing frameworks. Students examine the Greeks, implied vs realised volatility, skew dynamics, dealer hedging flows, structured products, and volatility-driven market behaviour. The module integrates quantitative models with institutional market practice, enabling learners to analyse how derivative structures influence spot markets and how volatility can be traded as both a risk factor and an asset class.23
- 13.1Options Basics and Institutional Applications60 Minutes
- 13.2Volatility Surfaces and Skew Interpretation60 Minutes
- 13.3Greeks, Risk Sensitivity and Dynamics60 Minutes
- 13.4Implied vs Realised Volatility Models60 Minutes
- 13.5Options Market Microstructure60 Minutes
- 13.6Hedging, Gamma Exposure and Market Impact60 Minutes
- 13.7Volatility Regimes and Vol Cycles60 Minutes
- 13.8Options Strategies for Directional Trades60 Minutes
- 13.9Options for Hedging and Income Generation60 Minutes
- 13.10Volatility Products and VIX Structures60 Minutes
- 13.11Cross-Asset Volatility Relationships60 Minutes
- 13.12Systemic vs Local Volatility Drivers60 Minutes
- 13.13Exotic Options and Structured Products60 Minutes
- 13.14Dealer Flow, Positioning and Market Movement60 Minutes
- 13.15Volatility Arbitrage and Dispersion Trading60 Minutes
- 13.16Options-Based Risk Management60 Minutes
- 13.17Event Volatility and Catalyst Strategy60 Minutes
- 13.18Automated Volatility Models60 Minutes
- 13.19Ethical and Regulatory Aspects of Derivatives60 Minutes
- 13.20Building Options-Integrated Trading Strategies60 Minutes
- 13.21Module 11 – Derivatives, Volatility & Options Structures – Assignment1 Week
- 13.22Aims & Objectives15 Minutes
- 13.23Module 11 – Derivatives, Volatility & Options Structures – Final Exam60 Minutes60 Questions
- Module 12 – Digital Assets, Blockchain & Alternative MarketsThis academically informed module examines the technological, economic, and structural foundations of digital asset markets. Students explore blockchain architecture, consensus mechanisms, crypto valuation frameworks, tokenomics, derivatives, liquidity regimes, decentralised finance, and on-chain analytics. The module bridges the gap between traditional financial theory and emerging digital market structures, preparing learners to navigate alternative asset classes with intellectual and analytical rigour.23
- 14.1The Structure of Digital Asset Markets60 Minutes
- 14.2Blockchain Architecture and Consensus Models60 Minutes
- 14.3Crypto Valuation Frameworks60 Minutes
- 14.4Stablecoins and Digital Money Systems60 Minutes
- 14.5Smart Contracts and Institutional Use Cases60 Minutes
- 14.6Market Microstructure in Crypto Exchanges60 Minutes
- 14.7Liquidity, Volatility and Regime Shifts60 Minutes
- 14.8On-Chain Data and Analytical Methods60 Minutes
- 14.9Algorithmic Trading in Digital Assets60 Minutes
- 14.10Crypto Derivatives and Leverage Risks60 Minutes
- 14.11Regulatory Landscape and Cross-Border Issues60 Minutes
- 14.12Custody, Security and Operational Controls60 Minutes
- 14.13Tokenomics and Incentive Models60 Minutes
- 14.14Institutional Adoption and Thematic Flows60 Minutes
- 14.15Behavioural Patterns in Digital Markets60 Minutes
- 14.16Macro Impact on Crypto Cycles60 Minutes
- 14.17Stablecoin Risk and FX Intersections60 Minutes
- 14.18DeFi, CeFi and Hybrid Systems60 Minutes
- 14.19Digital Assets in Portfolio Construction60 Minutes
- 14.20Strategic Digital Asset Trading Models60 Minutes
- 14.21Module 12 – Digital Assets, Blockchain & Alternative Markets – Assignment1 Week
- 14.22Aims & Objectives15 Minutes
- 14.23Module 12 – Digital Assets, Blockchain & Alternative Markets – Final Exam60 Minutes60 Questions
- Module 13 – Cross-Asset Integration & Global Macro StrategyThis module synthesises insights from equities, bonds, FX, commodities, and credit to develop integrated, multi-asset macro strategies. Students engage with advanced correlation analysis, causality frameworks, flow-based interpretation, regime classification, and scenario modelling. Using academically grounded methods, the module demonstrates how cross-asset signals can be translated into coherent, institutionally relevant macro trading frameworks.23
- 15.1Multi-Asset Analytic Frameworks60 Minutes
- 15.2Using Macro Signals Across Markets60 Minutes
- 15.3Correlation, Causality and Market Drivers60 Minutes
- 15.4Cross-Asset Confirmation Techniques60 Minutes
- 15.5Regime Classification and Strategy Alignment60 Minutes
- 15.6Liquidity, Volatility and Market Context60 Minutes
- 15.7Using Bond Markets to Predict Equities and FX60 Minutes
- 15.8Commodities as Macro Indicators60 Minutes
- 15.9Credit Conditions and Market Stress60 Minutes
- 15.10Cross-Asset Flows and Institutional Positioning60 Minutes
- 15.11Interpreting Global Data in Real Time60 Minutes
- 15.12Scenario-Based Macro Strategy Construction60 Minutes
- 15.13The Global Dollar System60 Minutes
- 15.14Funding, Leverage and Cross-Market Sensitivity60 Minutes
- 15.15Market Fragility and Systemic Shocks60 Minutes
- 15.16Integrating Technical and Macro Evidence60 Minutes
- 15.17Tactical vs Strategic Macro Positioning60 Minutes
- 15.18Macro Risk Management Frameworks60 Minutes
- 15.19Multi-Asset Execution Models60 Minutes
- 15.20Building Professional Global Macro Strategies60 Minutes
- 15.21Module 13 – Cross-Asset Integration & Global Macro Strategy – Assignment1 Week
- 15.22Aims & Objectives15 Minutes
- 15.23Module 13 – Cross-Asset Integration & Global Macro Strategy – Final Exam60 Minutes60 Questions
- Module 14 – Behavioural Finance, Decision Science & Risk PerceptionThis module explores behavioural anomalies, market psychology, cognitive distortions, and decision-theoretic frameworks that drive market inefficiency and trader misjudgement. Students examine prospect theory, heuristics, feedback cycles, narrative economics, and emotional states under uncertainty. With a strong academic underpinning, the module equips learners to improve judgement quality, strengthen risk perception, and recognise behavioural drivers of market turning points.23
- 16.1Psychology of Market Crowds60 Minutes
- 16.2Cognitive Errors in Professional Decision-Making60 Minutes
- 16.3Behavioural Biases and Trade Outcomes60 Minutes
- 16.4Prospect Theory and Loss Aversion60 Minutes
- 16.5Overreaction, Underreaction and Market Anomalies60 Minutes
- 16.6Sentiment, Positioning and Behavioural Flow60 Minutes
- 16.7Narrative Economics and Market Movements60 Minutes
- 16.8Emotional Processing Under Stress60 Minutes
- 16.9Decision Models in Uncertainty60 Minutes
- 16.10Bayesian Thinking and Evidence Updating60 Minutes
- 16.11Heuristics and Mental Shortcuts60 Minutes
- 16.12Impulse Control and Behavioural Discipline60 Minutes
- 16.13Team Dynamics and Institutional Behaviour60 Minutes
- 16.14Behavioural Risk Management60 Minutes
- 16.15Mispricing, Behaviour and Opportunity60 Minutes
- 16.16Building Behavioural Awareness in Trading60 Minutes
- 16.17Behavioural Predictors of Market Turning Points60 Minutes
- 16.18Emotional Safety and Trading Longevity60 Minutes
- 16.19Cognitive Agility and Performance Adaptation60 Minutes
- 16.20Behavioural Mastery for Professional Traders60 Minutes
- 16.21Module 14 – Behavioural Finance, Decision Science & Risk Perception – Assignment1 Week
- 16.22Aims & Objectives15 Minutes
- 16.23Module 14 – Behavioural Finance, Decision Science & Risk Perception – Final Exam60 Minutes60 Questions
- Module 15 – Quantitative Trading & Systematic ModellingThis module introduces students to the mathematical, statistical, and computational foundations of quantitative trading. Learners explore factor models, machine-learning techniques, volatility modelling, regime classification, backtesting methodologies, and signal construction. Emphasis is placed on empirical integrity, model robustness, cross-validation, and the governance considerations necessary for institutional-grade systematic strategies.23
- 17.1Introduction to Quantitative Logic60 Minutes
- 17.2Data Sources, Cleaning and Structuring60 Minutes
- 17.3Statistical Foundations and Hypothesis Testing60 Minutes
- 17.4Time-Series Analysis for Trading60 Minutes
- 17.5Factor Models and Systematic Signals60 Minutes
- 17.6Machine Learning in Trading Systems60 Minutes
- 17.7Momentum, Carry and Value Signals60 Minutes
- 17.8Volatility Modelling and GARCH Structures60 Minutes
- 17.9Regime Detection and Market States60 Minutes
- 17.10Backtesting, Validation and Model Integrity60 Minutes
- 17.11Avoiding Overfitting and Bias60 Minutes
- 17.12Risk Modelling and Portfolio Statistics60 Minutes
- 17.13Execution Algorithms and Slippage Modelling60 Minutes
- 17.14High-Frequency Data and Microstructure Noise60 Minutes
- 17.15Systematic Risk Management60 Minutes
- 17.16Combining Quantitative and Discretionary Logic60 Minutes
- 17.17Quantitative Approaches to Macro60 Minutes
- 17.18Automated Strategy Deployment60 Minutes
- 17.19Compliance, Model Risk and Governance60 Minutes
- 17.20Building Robust Systematic Trading Models60 Minutes
- 17.21Module 15 – Quantitative Trading & Systematic Modelling – Assignment1 Week
- 17.22Aims & Objectives15 Minutes
- 17.23Module 15 – Quantitative Trading & Systematic Modelling – Final Exam60 Minutes60 Questions
- Module 16 – Portfolio Management, Asset Allocation & Risk BudgetingThis module delivers a comprehensive academic treatment of portfolio theory, asset allocation methodologies, risk budgeting, diversification principles, and performance attribution. Students examine correlation dynamics, regime-dependent allocation, hedging frameworks, liquidity risk, and institutional portfolio governance. The module emphasises disciplined construction and evaluation of portfolios under varying macroeconomic and market conditions.23
- 18.1Portfolio Construction Foundations60 Minutes
- 18.2Asset Allocation Models and Frameworks60 Minutes
- 18.3Diversification and Correlation Structures60 Minutes
- 18.4Risk Parity, Target Vol and Vol Control60 Minutes
- 18.5Expected Return Modelling60 Minutes
- 18.6Position Sizing and Exposure Calibration60 Minutes
- 18.7Drawdown Management and Survival Rules60 Minutes
- 18.8Tail Risk, Skew and Stress Testing60 Minutes
- 18.9Portfolio Hedging and Protection60 Minutes
- 18.10Factor-Based Portfolio Design60 Minutes
- 18.11Tactical vs Strategic Allocation60 Minutes
- 18.12Multi-Asset Portfolio Integration60 Minutes
- 18.13Regime-Based Allocation Approaches60 Minutes
- 18.14Liquidity Risk and Portfolio Resilience60 Minutes
- 18.15Institutional Portfolio Governance60 Minutes
- 18.16Performance Attribution and Benchmarking60 Minutes
- 18.17Capital Allocation and Risk Budgeting60 Minutes
- 18.18Portfolio Review Cycles and Adjustments60 Minutes
- 18.19Behavioural Bias in Portfolio Decisions60 Minutes
- 18.20Constructing a Professional Trading Portfolio60 Minutes
- 18.21Module 16 – Portfolio Management, Asset Allocation & Risk Budgeting – Assignment1 Week
- 18.22Aims & Objectives15 Minutes
- 18.23Module 16 – Portfolio Management, Asset Allocation & Risk Budgeting – Final Exam60 Minutes60 Questions
- Module 17 – Artificial Intelligence & Machine Learning in TradingStudents explore advanced AI and machine-learning methodologies applied to financial markets, including supervised, unsupervised, and reinforcement learning models. The module covers data engineering, model training, drift detection, NLP applications, execution intelligence, and ethical considerations. This academically rigorous approach enables learners to integrate AI into research workflows, decision support systems, and systematic trading architectures.23
- 19.1AI Foundations and Trading Applications60 Minutes
- 19.2Supervised, Unsupervised and Reinforcement Learning60 Minutes
- 19.3Neural Networks and Deep Learning Models60 Minutes
- 19.4NLP for Financial Markets60 Minutes
- 19.5LLMs and Trading Information Processing60 Minutes
- 19.6AI-Based Signal Discovery60 Minutes
- 19.7Pattern Detection and Classification Models60 Minutes
- 19.8Algorithmic Execution with AI60 Minutes
- 19.9Regime Detection Using Machine Learning60 Minutes
- 19.10Risk Modelling with AI60 Minutes
- 19.11AI in News and Sentiment Analysis60 Minutes
- 19.12Automation of Research and Thesis Validation60 Minutes
- 19.13Using AI in Macro Forecasting60 Minutes
- 19.14Bias, Drift and Model Decay60 Minutes
- 19.15Data Governance and Model Ethics60 Minutes
- 19.16AI Infrastructure for Trading Firms60 Minutes
- 19.17AI-Augmented Analyst Workflows60 Minutes
- 19.18Hybrid Discretionary + AI Models60 Minutes
- 19.19Regulatory Oversight for AI Systems60 Minutes
- 19.20Building Institutional-Grade AI Trading Systems60 Minutes
- 19.21Module 17 – Artificial Intelligence & Machine Learning in Trading – Assignment1 Week
- 19.22Aims & Objectives15 Minutes
- 19.23Module 17 – Artificial Intelligence & Machine Learning in Trading – Final Exam60 Minutes60 Questions
- Module 18 – Trading System Architecture, Automation & InfrastructureThis module provides a detailed examination of the technological and infrastructural foundations of modern trading systems. Students study API architecture, data-feed engineering, algorithmic pipelines, OMS/EMS systems, latency optimisation, resilience design, and cybersecurity. The academically informed approach links systems engineering with real-world trading operations, risk management, and regulatory requirements.23
- 20.1System Architecture and Infrastructure Design60 Minutes
- 20.2APIs, Data Feeds and Connectivity60 Minutes
- 20.3Automation Frameworks and Trade Management60 Minutes
- 20.4Back-End Systems for Execution60 Minutes
- 20.5OMS/EMS Architecture60 Minutes
- 20.6Cloud vs Local Deployment60 Minutes
- 20.7Latency, Throughput and Network Performance60 Minutes
- 20.8Failover, Redundancy and Resilience60 Minutes
- 20.9Data Storage, Lakes and Pipelines60 Minutes
- 20.10Risk Engines and Monitoring Systems60 Minutes
- 20.11Automated Alerts and Exception Handling60 Minutes
- 20.12Trade Logging, Auditing and Compliance60 Minutes
- 20.13Automated Strategy Deployment60 Minutes
- 20.14Infrastructure for Systematic Trading60 Minutes
- 20.15Model Hosting and Execution Governance60 Minutes
- 20.16Cybersecurity and Threat Surfaces60 Minutes
- 20.17Disaster Recovery and Business Continuity60 Minutes
- 20.18Infrastructure Testing and QA60 Minutes
- 20.19Regulatory Requirements for Trading Infrastructure60 Minutes
- 20.20Building Scalable Automated Trading Systems60 Minutes
- 20.21Module 18 – Trading System Architecture, Automation & Infrastructure – Assignment1 Week
- 20.22Aims & Objectives15 Minutes
- 20.23Module 18 – Trading System Architecture, Automation & Infrastructure – Final Exam60 Minutes60 Questions
- Module 19 – Global Policy, Geopolitics & Systemic Market RiskStudents analyse the intersection of geopolitics, macroeconomic policy, and systemic financial risk. The module examines geopolitical frameworks, conflict transmission channels, global power transitions, sanctions, sovereign risk, systemic fragility, contagion pathways, and multi-polar economic structures. Emphasis is placed on scenario analysis and geopolitical intelligence as essential tools for institutional macro trading.23
- 21.1Geopolitical Frameworks for Traders60 Minutes
- 21.2Global Power Structures and Economic Influence60 Minutes
- 21.3Geopolitical Drivers of Markets60 Minutes
- 21.4War, Conflict and Market Shock Transmission60 Minutes
- 21.5Resource Competition and Commodity Impacts60 Minutes
- 21.6Sanctions, Trade Restrictions and FX Effects60 Minutes
- 21.7Monetary Hegemony and the Global Dollar System60 Minutes
- 21.8Emerging Powers and Economic Shifts60 Minutes
- 21.9Systemic Risk and Financial Fragility60 Minutes
- 21.10Crisis Dynamics and Contagion Pathways60 Minutes
- 21.11Political Cycles and Elections60 Minutes
- 21.12Fiscal Policy, Debt Crises and Sovereign Stress60 Minutes
- 21.13Cross-Border Capital Flow Risk60 Minutes
- 21.14Geopolitical Intelligence and Scenario Planning60 Minutes
- 21.15National Security and Market Infrastructure Risks60 Minutes
- 21.16Geoeconomics and Investment Strategy60 Minutes
- 21.17Central Banks in Global Stability60 Minutes
- 21.18Multi-Polar World and Market Fragmentation60 Minutes
- 21.19Black Swans, Grey Rhinos and Tail Risk60 Minutes
- 21.20Building Geopolitically Informed Trade Strategies60 Minutes
- 21.21Module 19 – Global Policy, Geopolitics & Systemic Market Risk – Assignment1 Week
- 21.22Aims & Objectives15 Minutes
- 21.23Module 19 – Global Policy, Geopolitics & Systemic Market Risk – Final Exam60 Minutes60 Questions
- Module 20 – Institutional Regulation, Compliance & Market ConductThis module provides a rigorous academic examination of global regulatory systems and the frameworks governing market integrity, investor protection, AML/KYC, conduct risk, market abuse surveillance, and institutional compliance architecture. Students develop an advanced understanding of regulatory expectations, ethical obligations, and governance structures that underpin professional trading environments.23
- 22.1Global Regulatory Architecture60 Minutes
- 22.2FCA, SEC, CFTC, ESMA and Global Regulators60 Minutes
- 22.3Financial Crime, AML/KYC and Controls60 Minutes
- 22.4Market Abuse, Insider Risk and Surveillance60 Minutes
- 22.5Best Execution and Order Handling Rules60 Minutes
- 22.6Conduct Risk and Ethical Trading60 Minutes
- 22.7Governance Requirements for Trading Firms60 Minutes
- 22.8Reporting, Record-Keeping and Audits60 Minutes
- 22.9Algorithmic Trading Regulation60 Minutes
- 22.10Conflicts of Interest and Chinese Walls60 Minutes
- 22.11Suitability and Investor Protection60 Minutes
- 22.12Operational Risk and Control Frameworks60 Minutes
- 22.13Model Risk Governance60 Minutes
- 22.14Regulatory Stress Testing60 Minutes
- 22.15Compliance in Market Microstructure60 Minutes
- 22.16Culture, Behaviour and Ethics60 Minutes
- 22.17Penalties, Enforcement and Case Studies60 Minutes
- 22.18Regulatory Change Management60 Minutes
- 22.19Global Regulatory Divergence60 Minutes
- 22.20Professional Compliance as a Trading Edge60 Minutes
- 22.21Module 20 – Institutional Regulation, Compliance & Market Conduct – Assignment1 Week
- 22.22Aims & Objectives15 Minutes
- 22.23Module 20 – Institutional Regulation, Compliance & Market Conduct – Final Exam60 Minutes60 Questions
- Module 21 – Professional Trading Psychology & Peak PerformanceThis advanced module explores the psychological frameworks and performance methodologies used by elite traders and decision-makers. Students examine cognitive optimisation, emotional resilience, stress physiology, execution psychology, and long-term behavioural conditioning. The module integrates academic research with applied practice to cultivate durable, high-performance trading behaviour.23
- 23.1Performance Conditioning and Cognitive Priming60 Minutes
- 23.2Emotional Regulation Under Pressure60 Minutes
- 23.3High-Performance Routines and Habits60 Minutes
- 23.4Mental Models for Professional Decision Making60 Minutes
- 23.5Reducing Cognitive Noise and Distraction60 Minutes
- 23.6Building Bulletproof Discipline60 Minutes
- 23.7Internal Dialogue and Performance Identity60 Minutes
- 23.8Handling Drawdowns and Psychological Shock60 Minutes
- 23.9Reinforcement of Positive Patterns60 Minutes
- 23.10The Psychology of Execution60 Minutes
- 23.11Emotional–Technical Confluence60 Minutes
- 23.12Energy Management and Focus States60 Minutes
- 23.13Advanced Stress Management60 Minutes
- 23.14Psychological Bias in Trade Management60 Minutes
- 23.15Peak Cognitive States for Trading60 Minutes
- 23.16Long-Term Self-Mastery for Traders60 Minutes
- 23.17Behavioural Consistency and Reliability60 Minutes
- 23.18Crisis Psychology and Emotional Stability60 Minutes
- 23.19The Trader as a Performance Athlete60 Minutes
- 23.20Designing a Peak-Performance Trading Life60 Minutes
- 23.21Module 21 – Professional Trading Psychology & Peak Performance – Assignment1 Week
- 23.22Aims & Objectives15 Minutes
- 23.23Module 21 – Professional Trading Psychology & Peak Performance – Final Exam60 Minutes60 Questions
- Module 22 – Regulatory Governance, Conduct Risk & Organisational ResilienceThis module examines governance structures, accountability frameworks, organisational controls, risk cultures, resilience planning, cybersecurity oversight, and operational risk management. Students develop a comprehensive understanding of how institutions maintain stability, manage third-party risk, handle crisis events, and uphold high standards of conduct and oversight.23
- 24.1Governance Structures in Financial Institutions60 Minutes
- 24.2Board Oversight and Executive Accountability60 Minutes
- 24.3Conduct Risk Frameworks60 Minutes
- 24.4Behavioural Governance and Culture60 Minutes
- 24.5Internal Controls, Assurance and Monitoring60 Minutes
- 24.6Operational Risk and Resilience Models60 Minutes
- 24.7Third-Party Risk and Outsourcing Rules60 Minutes
- 24.8IT Governance and Cybersecurity Controls60 Minutes
- 24.9Business Continuity Planning60 Minutes
- 24.10Crisis Management Architecture60 Minutes
- 24.11Regulatory Governance and Accountability60 Minutes
- 24.12Senior Managers and Certification Regimes60 Minutes
- 24.13Enterprise Risk Management Integration60 Minutes
- 24.14Non-Financial Risk and Control Failures60 Minutes
- 24.15ESG, Stewardship and Ethical Governance60 Minutes
- 24.16Audit, Assurance and Control Testing60 Minutes
- 24.17Escalation, Issue Management and Resolution60 Minutes
- 24.18Governance Lectures from Major Failures60 Minutes
- 24.19Organisational Resilience in Trading Firms60 Minutes
- 24.20Professional Responsibility and Long-Term Integrity60 Minutes
- 24.21Module 22 – Regulatory Governance, Conduct Risk & Organisational Resilience – Assignment1 Week
- 24.22Aims & Objectives15 Minutes
- 24.23Module 22 – Regulatory Governance, Conduct Risk & Organisational Resilience – Final Exam60 Minutes60 Questions
- Module 23 – Strategic Career Development for Professional TradersStudents explore the strategic, organisational, and developmental pathways required to build a sustainable long-term career in professional trading. The module covers role progression, skill-stack development, industry networking, professional branding, leadership capability, and strategic career decision-making. The tone reflects academic insight while grounding the content in real-world professional advancement.23
- 25.1Mapping the Professional Trading Landscape60 Minutes
- 25.2Sell-Side vs Buy-Side Career Paths60 Minutes
- 25.3Institutional Role Structures and Progression60 Minutes
- 25.4Building a Professional Trading Skill Stack60 Minutes
- 25.5Professional Branding and Network Strategy60 Minutes
- 25.6Mentorship and Development Acceleration60 Minutes
- 25.7Portfolio Construction for a Career60 Minutes
- 25.8Learning, Research and Continuous Improvement60 Minutes
- 25.9Career Risk Management and Strategic Pivots60 Minutes
- 25.10Selling Yourself in the Professional Market60 Minutes
- 25.11Communication, Influence and Leadership60 Minutes
- 25.12Building Credibility in the Industry60 Minutes
- 25.13Navigating Market Cycles Professionally60 Minutes
- 25.14Internal Mobility and External Opportunities60 Minutes
- 25.15Creating a Unique Trading Edge60 Minutes
- 25.16Long-Term Financial Planning for Traders60 Minutes
- 25.17Managing Burnout and Sustainability60 Minutes
- 25.18Career Portfolio Diversification60 Minutes
- 25.19Preparing for Senior Leadership Roles60 Minutes
- 25.20Designing a Long-Term Trading Career Strategy60 Minutes
- 25.21Module 23 – Strategic Career Development for Professional Traders – Assignment1 Week
- 25.22Aims & Objectives15 Minutes
- 25.23Module 23 – Strategic Career Development for Professional Traders – Final Exam60 Minutes60 Questions
- Module 24 – Research Methods for Financial MarketsThis academically rigorous module provides students with the methodological tools required to design, conduct, and evaluate high-quality financial research. Content includes research paradigms, quantitative and qualitative techniques, data integrity, modelling validation, hypothesis development, and analytical writing. The module prepares learners for the applied dissertation by building strong research capability.23
- 26.1Academic Foundations for Financial Research60 Minutes
- 26.2Research Paradigms and Methodologies60 Minutes
- 26.3Hypothesis Formation and Theory Development60 Minutes
- 26.4Literature Review for Financial Topics60 Minutes
- 26.5Data Collection and Quality Control60 Minutes
- 26.6Quantitative Research Methods60 Minutes
- 26.7Qualitative Research Methods60 Minutes
- 26.8Mixed-Method Research Approaches60 Minutes
- 26.9Statistical Tools and Research Software60 Minutes
- 26.10Research Ethics and Governance60 Minutes
- 26.11Developing Research Questions60 Minutes
- 26.12Model Development and Testing60 Minutes
- 26.13Regression, Forecasting and Analysis60 Minutes
- 26.14Interpretation of Results60 Minutes
- 26.15Validity, Reliability and Robustness60 Minutes
- 26.16Building Research Frameworks60 Minutes
- 26.17Research Writing and Academic Structure60 Minutes
- 26.18Presenting Research to Stakeholders60 Minutes
- 26.19Research Review and Feedback Cycles60 Minutes
- 26.20Preparing for the Applied Trading Dissertation60 Minutes
- 26.21Module 24 – Research Methods for Financial Markets – Assignment1 Week
- 26.22Aims & Objectives15 Minutes
- 26.23Module 24 – Research Methods for Financial Markets – Final Exam60 Minutes60 Questions
- Module 25 – Applied Trading Dissertation: Integration & SynthesisThe capstone module guides students through the full process of designing and producing a professional-grade applied trading dissertation. Learners synthesise macroeconomic, microstructural, behavioural, quantitative, and technical evidence to construct a defensible trading thesis. The module supports model development, data collection, analysis, stress testing, interpretation of evidence, and academic writing, culminating in a final dissertation that demonstrates comprehensive mastery of the programme.23
- 27.1Selecting a Dissertation Topic60 Minutes
- 27.2Defining Research Objectives60 Minutes
- 27.3Building a Conceptual Framework60 Minutes
- 27.4Literature Mapping and Insight Development60 Minutes
- 27.5Data Strategy and Sourcing60 Minutes
- 27.6Methodological Alignment60 Minutes
- 27.7Developing the Research Model60 Minutes
- 27.8Structuring the Analysis Framework60 Minutes
- 27.9Integrating Macro, Microstructure and Behaviour60 Minutes
- 27.10Multi-Asset Modelling Techniques60 Minutes
- 27.11Stress Testing the Dissertation Framework60 Minutes
- 27.12Synthesising Evidence and Findings60 Minutes
- 27.13Writing the Analysis Chapters60 Minutes
- 27.14Deriving Practical Trading Implications60 Minutes
- 27.15Building a Dissertation-Grade Trading Strategy60 Minutes
- 27.16Refining Conclusions and Contributions60 Minutes
- 27.17Dissertation Presentation Methods60 Minutes
- 27.18Professional Academic Standards60 Minutes
- 27.19Peer Review and Supervisor Feedback60 Minutes
- 27.20Final Dissertation Submission Preparation60 Minutes
- 27.21Module 25 – Applied Trading Dissertation: Integration & Synthesis – Assignment1 Week
- 27.22Aims & Objectives15 Minutes
- 27.23Module 25 – Applied Trading Dissertation: Integration & Synthesis – Final Exam60 Minutes60 Questions
- DissertationThis dissertation section represents the final and most advanced stage of the Masters in Applied Professional Trading. Here, students bring together every discipline developed throughout the programme—macroeconomics, market microstructure, technical structure, behavioural finance, quantitative reasoning, cross-asset analysis, execution logic and institutional-grade research practice—to produce a fully integrated, MBA-level applied trading dissertation. This capstone component requires students to design, execute and present a rigorous 12,000–15,000-word study that demonstrates deep analytical thinking, methodological discipline, data-driven evaluation and real-world trading relevance. The dissertation challenges students to investigate a complex market phenomenon, develop a robust conceptual and theoretical framework, conduct professional-grade analysis using high-quality data, and translate their findings into actionable insight for institutional trading environments. Completing this dissertation signifies mastery of the programme and readiness to operate at a strategic, research-informed, professional level within global financial markets.1
- Student Success & Support CentreThe Student Success & Support Centre is your dedicated hub for guidance throughout the programme. Whether you need help navigating the learning platform, clarifying academic requirements, managing your study schedule, or preparing for assignments and exams, this is where you’ll find structured assistance. Our team is committed to ensuring you stay on track, overcome challenges quickly and maintain momentum as you progress through the course. If you require technical support, academic clarification or general programme advice, you can rely on this centre as your first point of contact for timely, professional support.1
You evolve from fragmented retail knowledge to a genuine, institution-grade mindset. By the end, you’ll analyse markets, structure trades, interpret risk, and execute with the clarity and confidence of a professional.
It integrates macroeconomics, technical structure, market microstructure, psychology, risk management, sentiment, and execution — the same multi-layered approach used by institutional desks. It’s not a strategy course; it’s a capability-building system.
It’s fully immersive. Every lecture is narrated in continuous, story-driven spoken form, supported by assignments, examples, exams, and a full dissertation. You’re guided like a junior analyst being developed inside a professional environment.
Not necessarily. The programme starts with foundational concepts and builds progressively into advanced cross-asset analysis, macro integration, execution, and behavioural conditioning.
Yes. Instead of copying others, you design your own structured, evidence-based methodology across macro, sentiment, technicals, and microstructure — tailored to your strengths.
Because conviction comes from competence. You’ll learn how to interpret macro conditions, understand liquidity dynamics, validate setups with technical structure, and execute with disciplined risk.
Most students take several months to complete 500 lectures, assignments, exams, and a 12,000–15,000-word dissertation. You have lifetime access, so you progress at your own pace.
Absolutely. Everything is self-paced, mobile-friendly, and designed for flexible study — whether in short bursts or deeper weekend sessions.
It’s advanced, but purposefully structured so you progress smoothly. Concepts layer naturally, ensuring you’re challenged without ever feeling lost.
Highly. You engage with real-market examples, chart breakdowns, macro data interpretation, scenario analysis, exam cycles, and a full dissertation pathway.
It replaces impulsive behaviour with structured reasoning, data-driven frameworks, and disciplined processes. Emotional trading loses its grip when you operate with professional-grade clarity.
FX, commodities, equities, indices, bonds, crypto, yield curves, volatility structures, and cross-asset relationships. You learn how global markets connect and move each other.
No. A standard trading platform, chart access, and basic spreadsheets are enough. Optional tools may enhance your workflow later, but nothing premium is required up front.
Deeply. You’ll understand market makers, liquidity providers, order flow, execution algorithms, dealer flows, and structural liquidity — insights almost completely absent from retail education.
Yes. Most courses teach isolated concepts. This programme builds an integrated, multi-factor decision-making system that reshapes your entire approach to markets.
Yes. You’ll learn how to interpret volatility spikes, macro surprises, liquidity dislocations, and geopolitical catalysts — and how to remain strategic when markets become chaotic.
Absolutely. Consistency emerges from structured thinking. You’ll develop the analytical discipline, risk frameworks, execution logic, and behavioural conditioning used by top performers.
The AI Faculty supports you throughout, lectures are fully narrated, and the pacing is yours to control. You get the feel of 1-to-1 institutional mentorship, on-demand.
Yes. You’ll receive ongoing updates as markets evolve and new regulatory frameworks emerge.
Yes. The depth mirrors the expectations of prop firms, hedge funds, asset managers, and institutional trading desks. The dissertation amplifies your professional credibility.
Students describe it as transformative. You build capability, confidence, and identity — shifting from someone who trades to someone who thinks and operates like a professional.
You have access to the Faculty, structured examples, assignments, exams, dissertation guidance, and a full institutional-style progression model that ensures you’re never stuck.
You can study the modules, but completing the dissertation is essential to finishing the full Masters pathway.
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