Masters in Applied Professional Trading (MBA)
The Masters in Applied Professional Trading, created by Sachin Kotecha, is a comprehensive, institution-level qualification designed to build world-class traders with a deep, integrated understanding of global markets. This is a complete professional development pathway that strengthens your analytical capability, refines your technical and macro frameworks, enhances your psychological discipline, and equips you with the execution and risk-management standards used by leading trading desks worldwide.
About This Masters Programme
The Masters in Applied Professional Trading is a rigorous and fully integrated professional qualification engineered to elevate your approach to markets at every level—intellectual, strategic, operational, and psychological. Created and taught by Sachin Kotecha, a practitioner known for his deeply analytical, cross-asset approach to markets, this programme is built for individuals who want a complete, institutional-grade capability set rather than fragmented retail-style knowledge.
Across 25 advanced modules and more than 500 detailed lectures, you are guided through the entire ecosystem of trading as a professional discipline. Each module builds progressively on the previous one, allowing you to develop a multi-layered understanding of how global markets operate, how institutional participants behave, how economic forces drive cycles, and how technical structure expresses underlying order flow. This Masters is designed to reshape your thinking, sharpen your decision-making, and develop the discipline required for sustainable long-term performance.
You begin with the architecture of global markets—how price is formed, how liquidity is distributed, how transactions interact at scale, and how major financial institutions influence movement. You explore the behaviours of market makers, dealers, hedge funds, asset managers, and algorithmic systems. You learn how liquidity pools form, why volatility behaves as it does, how structural transitions occur, and how sentiment cycles move across the financial system. This foundational understanding enables you to interpret markets not as isolated fluctuations, but as coordinated reactions to deeper economic and structural forces.
From here, the programme takes you into the heart of macroeconomic and intermarket logic. You study the impact of monetary policy, interest rates, inflation, growth dynamics, labour markets, trade flows, geopolitical developments, and sovereign balance sheets. You learn how to interpret central bank communications, fiscal shifts, credit cycles, and structural reforms. You gain the ability to anticipate regime changes—expansion, contraction, tightening, loosening, risk-on, risk-off—and understand how these transitions cascade across currencies, commodities, bonds, equities, and digital assets.
This macroeconomic and structural perspective is then integrated with technical market understanding. Rather than teaching surface-level patterns, the programme focuses on the deep structure of price: trend behaviour, liquidity distribution, order-flow psychology, transitional zones, exhaustion moves, continuation structures, and volatility dynamics. You learn how to identify intent behind movement, confirm strength or weakness, understand positioning, map liquidity, and analyse the structural narrative of price action across multiple timeframes.
Market microstructure and execution science then take your understanding to an institutional level. You explore how orders are routed, how execution engines operate, how spreads are formed, how slippage is managed, and how execution strategies align with liquidity conditions. You learn how high-frequency systems operate, how dark pools and off-exchange venues influence behaviour, and how volatility events alter execution risk. This knowledge completely changes the way you approach entries, position sizing, stop placement, risk calibration, and trade management, bringing your process far closer to institutional practice.
The psychological dimension of trading forms another cornerstone of the Masters. You examine emotional regulation, cognitive clarity, behavioural patterns, identity, internal dialogue, self-trust, focus, and resilience. You learn how to build routines that reinforce discipline, how to handle uncertainty without losing balance, how to perform under pressure, and how to maintain stability during drawdowns or volatile periods. The objective is to cultivate a professional identity—calm, measured, consistent, and strategically aligned.
Risk management is treated with the seriousness it deserves. You study exposure control, scenario analysis, stress testing, portfolio construction, drawdown mitigation, risk budgeting, and responsible capital allocation. You gain insight into institutional risk frameworks, governance expectations, conduct standards, and professional responsibility. These sessions prepare you to manage risk with the same discipline used by professional institutions—protecting capital, preserving longevity, and maintaining confidence during periods of uncertainty.
As markets evolve, so must the trader. The programme includes deep coverage of quantitative modelling, algorithmic logic, data-driven reasoning, machine learning, and AI-enhanced analysis. You explore how modern trading systems detect patterns, classify regimes, optimise signals, and integrate human and machine decision-making. This forward-looking perspective ensures that your skillset remains relevant, adaptive, and aligned with the technological advancements shaping the future of trading.
Throughout the entire journey, Sachin Kotecha ensures each concept is delivered with clarity, precision, and continuity. The narrative flow is designed to help you build mastery step by step, without overwhelm, while maintaining a high professional standard across the entire curriculum.
By the end of this Masters, you will have built:
- A deep, cross-asset understanding of global markets.
- A refined macro–intermarket analytical framework.
- A structural, professional approach to technical analysis.
- A mature, disciplined, psychology-aligned trading identity.
- A full execution and microstructure-based methodology.
- A robust risk-management and governance framework.
- A forward-thinking perspective on AI, automation, and quantitative modelling.
- A long-term strategic understanding of how to operate in any market environment.
This programme is more than an education. It is a complete redefinition of how you see markets, how you think, how you operate, and how you make decisions. It is a full professional development journey designed to strengthen your confidence, deepen your understanding, and elevate your performance for life.
Benefits of This Masters Programme
The benefits of this Masters programme extend far beyond technical knowledge. You develop the ability to interpret the world through a professional trading lens, seeing connections between economic data, geopolitical events, institutional flows, sentiment regimes, and price structure in ways that most market participants never reach. You gain clarity in environments where others hesitate, confidence in situations where others withdraw, and structure when others are overwhelmed.
Your analytical skills deepen across every dimension. You learn to build a repeatable, research-driven trading framework. You become capable of constructing multi-layered trade ideas, supported by cross-asset signals, macro alignment, technical structure, behavioural context, and risk control. Your execution improves as you gain insight into how institutional traders manage orders, avoid slippage, and take advantage of liquidity.
On the psychological front, you gain a sense of control over your process. You learn how to manage emotional spikes, recover from setbacks, maintain consistency, and operate with a calm, measured mindset. This reduces stress, increases clarity, and improves decision quality across the entire trading lifecycle.
In terms of risk, your entire approach becomes more professional. You learn to manage exposure based on volatility, event risk, liquidity conditions, and structural environment. You build frameworks that protect your capital during difficult periods and allow for controlled expansion during favourable regimes.
The result is a transformation in your skill, your mindset, and your operational discipline.
Who This Programme Is For
This Masters is ideal for serious market participants who want to build a complete professional framework rather than rely on fragmented methods or isolated tactics:
- Independent traders seeking a complete, institutional-level framework.
- Aspiring professionals preparing for roles in hedge funds, prop firms, or asset-management teams.
- Experienced traders looking to refine their macro, technical, or execution processes.
- Analysts and strategists who want a deeper understanding of cross-asset behaviour.
- Investors seeking clarity on economic cycles, risk, and portfolio construction.
- Entrepreneurs who want to strengthen their financial intelligence and market decision-making.
- Traders who understand that long-term consistency requires discipline, structure, and a complete professional framework.
If you are serious about mastering trading as a professional discipline rather than a hobby, this programme is designed for you.
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. With a deep background in markets, engineering, and cross-asset strategy, Sachin brings a unique analytical perspective that blends quantitative discipline with structural, behavioural, and macroeconomic understanding.
His teaching approach combines clarity of explanation with depth of insight, making complex topics accessible without diluting their professional rigour. Sachin’s emphasis on structure, process, and long-term thinking shapes the entire programme. His goal is to raise the standard of trading education by delivering a curriculum that aligns with real institutional practice, setting a new benchmark for what professional training in trading should be.
Programme Highlights
This programme stands apart due to its depth, breadth, and integration. You do not learn isolated skills; you learn how markets function as a complete system. You develop cross-asset awareness, structural intuition, behavioural resilience, and risk discipline. You gain exposure to macroeconomics, microstructure, technical analysis, psychology, quantitative logic, regulation, and modern AI-driven methodologies—all within one unified framework.
You learn how to build strategies that work across market regimes, how to position yourself based on structural, macro, and sentiment alignment, and how to adapt during periods of uncertainty. You gain a holistic understanding of the market that allows you to operate with clarity when others are lost.
Enrolment & Next Steps
If you are ready to elevate your trading from fragmented methods to a complete professional framework, this is your opportunity. Enrol in the Masters in Applied Professional Trading and begin the transformation that redefines your understanding, strengthens your discipline, and unlocks your true capability as a market operator.
Your future in trading starts with a single decision. Make it today.
Frequently Asked Questions
Is this suitable for beginners?
Yes — the programme starts with fundamentals and progresses into advanced institutional concepts, allowing learners at all levels to build strong capability.
Is there a certificate upon completion?
Yes — graduates receive the official Traders MBA Masters Certification.
How is the content delivered?
All lectures are presented by Sachin Kotecha through structured video lessons.
How long does the programme take?
It is fully self-paced with 2 years access.
Does this cover all areas of professional trading?
Yes — the curriculum integrates macroeconomics, technical structure, microstructure, psychology, execution, risk, quantitative logic and strategy.
Curriculum
- 29 Sections
- 529 Lessons
- 104 Weeks
- 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
- 3.1Aims & Objectives15 Minutes
- 3.2The Architecture of Modern Financial Markets60 Minutes
- 3.3Price Formation, Liquidity and Market Dynamics60 Minutes
- 3.4The Institutional Trading Ecosystem60 Minutes
- 3.5Market Participants and Behavioural Incentives60 Minutes
- 3.6The Role of Exchanges, ECNs and Dark Pools60 Minutes
- 3.7Understanding Market Hours, Sessions and Flows60 Minutes
- 3.8The Institutional Trading Desk Workflow60 Minutes
- 3.9Market Regimes, Volatility States and Risk Cycles60 Minutes
- 3.10Transaction Costs, Slippage and Execution Quality60 Minutes
- 3.11Systemic vs Idiosyncratic Risk in Practice60 Minutes
- 3.12Understanding Market Drivers and Cross-Asset Influence60 Minutes
- 3.13Data, News and Information Hierarchies60 Minutes
- 3.14Professional Trading Ethics and Conduct Foundations60 Minutes
- 3.15Global Regulatory Structure and Oversight60 Minutes
- 3.16Market Manipulation Risks and Detection60 Minutes
- 3.17Capital, Leverage and Margin Mechanics60 Minutes
- 3.18Institutional Risk Culture and Governance60 Minutes
- 3.19Scenario Thinking in Professional Trading60 Minutes
- 3.20Integrating Macro, Microstructure and Behaviour60 Minutes
- 3.21Building a Professional Trading Identity60 Minutes
- 3.22Module 1 – Introduction to Professional Trading & Global Market Structure – Assignment1 Week
- 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
- 4.1Aims & Objectives15 Minutes
- 4.2The Structure of the Global Macroeconomic System60 Minutes
- 4.3Monetary Policy: Frameworks, Tools and Transmission60 Minutes
- 4.4Inflation Dynamics and Price Stability Regimes60 Minutes
- 4.5GDP, Growth Models and Economic Cycles60 Minutes
- 4.6Labour Markets and Employment Sensitivity60 Minutes
- 4.7Fiscal Policy, Public Debt and Government Balance Sheets60 Minutes
- 4.8Central Banks: Mandates, Communication and Markets60 Minutes
- 4.9FX Reserves, Sovereign Flows and Global Capital Movement60 Minutes
- 4.10Yield Curves, Rates and Economic Signalling60 Minutes
- 4.11Business Cycles and Recession Indicators60 Minutes
- 4.12Global Trade Systems and Balance of Payments60 Minutes
- 4.13Commodity Cycles and Terms of Trade Effects60 Minutes
- 4.14Emerging Market Macro Structures60 Minutes
- 4.15Macroeconomic Surprise Indexes and Data Impact60 Minutes
- 4.16Macro Models and Forecasting Approaches60 Minutes
- 4.17Market Pricing of Macro Expectations60 Minutes
- 4.18Cross-Asset Macro Transmission Channels60 Minutes
- 4.19Structural vs Cyclical Macro Drivers60 Minutes
- 4.20Macro Risks, Shocks and Systemic Fragility60 Minutes
- 4.21Integrating Macro into a Trading Framework60 Minutes
- 4.22Module 2 – Macroeconomic Foundations & Monetary Systems – Assignment1 Week
- 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
- 5.1Aims & Objectives15 Minutes
- 5.2Order Types, Mechanics and Execution Pathways60 Minutes
- 5.3Limit Order Books: Behaviour and Interpretation60 Minutes
- 5.4Market Makers, Dealers and Liquidity Providers60 Minutes
- 5.5Algorithmic Execution Strategies and TCA60 Minutes
- 5.6Bid–Ask Spreads, Depth and Volume Dynamics60 Minutes
- 5.7High-Frequency Trading and Latency Impacts60 Minutes
- 5.8Dark Pools, Internalisation and Off-Exchange Flows60 Minutes
- 5.9Price Impact, Slippage and Execution Cost Modelling60 Minutes
- 5.10Trade Routing, Smart Order Execution and Venue Selection60 Minutes
- 5.11Market Manipulation Tactics and Regulatory Oversight60 Minutes
- 5.12Stop Hunting, Liquidity Gaps and Structural Risk60 Minutes
- 5.13Time-of-Day Liquidity Patterns and Seasonality60 Minutes
- 5.14Volatility Clustering and Microstructure Noise60 Minutes
- 5.15Order Flow Analysis and Liquidity Mapping60 Minutes
- 5.16Settlement Cycles, Clearing Systems and Counterparty Risk60 Minutes
- 5.17Institutional Trade Lifecycle Management60 Minutes
- 5.18Market Data Types and Professional Data Feeds60 Minutes
- 5.19Execution Governance and Best Execution Standards60 Minutes
- 5.20Operational Resilience and Execution Continuity60 Minutes
- 5.21Microstructure as an Edge in Trading Strategy60 Minutes
- 5.22Module 3 – Market Microstructure & Institutional Execution – Assignment1 Week
- 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
- 6.1Aims & Objectives15 Minutes
- 6.2Price Structure and Market Anatomy60 Minutes
- 6.3Support, Resistance and Liquidity Zones60 Minutes
- 6.4Trends, Cycles and Transitional Structures60 Minutes
- 6.5Candlestick Logic and Pattern Dynamics60 Minutes
- 6.6Multi-Timeframe Market Structure Alignment60 Minutes
- 6.7Momentum, Strength and Trend Continuation Logic60 Minutes
- 6.8Mean Reversion and Range-Bound Behaviour60 Minutes
- 6.9Volatility Contraction and Expansion Phases60 Minutes
- 6.10Volume, Participation and Energy Analysis60 Minutes
- 6.11Breakouts, Fakeouts and Trap Dynamics60 Minutes
- 6.12Institutional Order Blocks and Supply–Demand Models60 Minutes
- 6.13Moving Averages and Structural Filters60 Minutes
- 6.14Ichimoku Logic and Trend Frameworks60 Minutes
- 6.15RSI, MACD and Oscillator-Based Analysis60 Minutes
- 6.16Market Geometry, Fibs and Structural Symmetry60 Minutes
- 6.17Price Discovery, Auction Theory and Imbalance60 Minutes
- 6.18Technical Analysis in Cross-Asset Context60 Minutes
- 6.19Structural Risk Management Using Technical Logic60 Minutes
- 6.20Technical Confirmation for Fundamental Ideas60 Minutes
- 6.21Integrating Technical Analysis into a Professional System60 Minutes
- 6.22Module 4 – Technical Market Structure, Price Dynamics & Trend Logic – Assignment1 Week
- 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
- 7.1Aims & Objectives15 Minutes
- 7.2Equity, Bond, FX and Commodity Interdependencies60 Minutes
- 7.3Corporate Valuation Metrics and Cash Flow Logic60 Minutes
- 7.4Bond Markets, Yields and Duration Dynamics60 Minutes
- 7.5Commodities, Supply Chains and Cost-Push Effects60 Minutes
- 7.6FX Fundamentals: Policy, Flows and Trade60 Minutes
- 7.7Sector Analysis and Rotation Dynamics60 Minutes
- 7.8Credit Markets and Risk Appetite Reflection60 Minutes
- 7.9Understanding Volatility Indices and Risk Metrics60 Minutes
- 7.10Liquidity Regimes and Market Stress Indicators60 Minutes
- 7.11Cross-Asset Correlation and Divergence Mapping60 Minutes
- 7.12Earnings, Guidance and Market Sensitivity60 Minutes
- 7.13Financial Statements for Macro Traders60 Minutes
- 7.14The Role of Hedge Funds and Institutional Allocation60 Minutes
- 7.15ETFs, Structured Products and Flow Influence60 Minutes
- 7.16Fundamental Momentum and Catalyst-Based Trading60 Minutes
- 7.17Real-Time Fundamental Data Interpretation60 Minutes
- 7.18Intermarket Confirmation for Trade Ideas60 Minutes
- 7.19Regime Shifts and Asset Class Repricing60 Minutes
- 7.20Global Macro–Fundamental Integration60 Minutes
- 7.21Building a Multi-Asset Fundamental Thesis60 Minutes
- 7.22Module 5 – Fundamental & Intermarket Analysis Across Asset Classes – Assignment1 Week
- 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
- 8.1Aims & Objectives15 Minutes
- 8.2Behavioural Finance Foundations60 Minutes
- 8.3Cognitive Biases and Decision-Making Errors60 Minutes
- 8.4Emotional Regulation in High-Stakes Environments60 Minutes
- 8.5Fear, Greed and Survival Instincts in Markets60 Minutes
- 8.6Overconfidence, Loss Aversion and Anchoring60 Minutes
- 8.7Risk Perception and Misjudgement60 Minutes
- 8.8Mental Models for Professional Thinking60 Minutes
- 8.9Discipline, Consistency and Rule-Based Behaviour60 Minutes
- 8.10Stress Management and Performance Resilience60 Minutes
- 8.11Habit Formation and Behavioural Engineering60 Minutes
- 8.12Psychological Risk Management and Drawdown Control60 Minutes
- 8.13The Role of Identity in Trading Performance60 Minutes
- 8.14Cognitive Load, Focus and Information Processing60 Minutes
- 8.15Building a High-Performance Trading Mindset60 Minutes
- 8.16Decision Quality, Uncertainty and Probabilistic Thinking60 Minutes
- 8.17Emotional Intelligence for Market Interpretation60 Minutes
- 8.18Patterns of Self-Sabotage and How to Correct Them60 Minutes
- 8.19Behavioural Alignment with Trading Strategy60 Minutes
- 8.20Long-Term Psychological Conditioning60 Minutes
- 8.21Peak Cognitive Performance as a Professional Trader60 Minutes
- 8.22Module 6 – Trader Psychology, Behaviour & Cognitive Discipline – Assignment1 Week
- 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
- 9.1Aims & Objectives15 Minutes
- 9.2Structure of the FX Market60 Minutes
- 9.3Currency Valuation and Monetary Anchors60 Minutes
- 9.4Carry Trades and Interest Rate Differentials60 Minutes
- 9.5FX Spot, Forwards and Swaps60 Minutes
- 9.6Central Banks, FX Intervention and Policy Cycles60 Minutes
- 9.7Balance of Payments and FX Flows60 Minutes
- 9.8Global Funding Currencies and Risk Sentiment60 Minutes
- 9.9Real Effective Exchange Rates and Competitiveness60 Minutes
- 9.10FX Volatility, Term Structure and Regimes60 Minutes
- 9.11Emerging Market FX Structures60 Minutes
- 9.12Safe Haven Dynamics in FX Markets60 Minutes
- 9.13Options Markets and FX Hedging Flows60 Minutes
- 9.14FX Microstructure and Dealer Behaviour60 Minutes
- 9.15Seasonal, Cyclical and Structural FX Patterns60 Minutes
- 9.16Currency Strength Frameworks and Macro Alignment60 Minutes
- 9.17Intermarket FX Drivers: Bonds, Commodities, Equities60 Minutes
- 9.18News, Data and FX Sensitivity60 Minutes
- 9.19FX Risk Management and Position Sizing60 Minutes
- 9.20Scenario Planning for Currency Trades60 Minutes
- 9.21Constructing Professional FX Trade Strategies60 Minutes
- 9.22Module 7 – Foreign Exchange (FX) Market Mastery – Assignment1 Week
- 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
- 10.1Aims & Objectives15 Minutes
- 10.2Structure of Global Bond Markets60 Minutes
- 10.3Coupon, Duration, Convexity and Sensitivity60 Minutes
- 10.4Sovereign vs Corporate Bonds60 Minutes
- 10.5Yield Curves: Shapes, Signals and Cycles60 Minutes
- 10.6Inflation-Linked Bonds and Breakevens60 Minutes
- 10.7Central Bank Policy and Bond Market Reactions60 Minutes
- 10.8Bond Auctions, Dealers and Primary Markets60 Minutes
- 10.9Credit Spreads, Ratings and Risk Premiums60 Minutes
- 10.10Curve Trades: Steepeners, Flatteners, Butterflies60 Minutes
- 10.11Duration Hedging and Rate Risk Control60 Minutes
- 10.12Repo Markets, Collateral and Funding Stress60 Minutes
- 10.13Interest Rate Swaps and Fixed-Income Derivatives60 Minutes
- 10.14Cross-Market Rate Relationships60 Minutes
- 10.15Term Premium, Expectations Theory and Market Pricing60 Minutes
- 10.16Fixed-Income Volatility and Risk Regimes60 Minutes
- 10.17Bond Market Microstructure and Liquidity60 Minutes
- 10.18Global Debt Dynamics and Fiscal Sustainability60 Minutes
- 10.19Bond Markets in Crisis and Stress Scenarios60 Minutes
- 10.20Yield-Curve Integration into Macro Strategy60 Minutes
- 10.21Constructing Rate and Curve-Based Trading Ideas60 Minutes
- 10.22Module 8 – Fixed-Income, Bond Markets & Yield-Curve Trading – Assignment1 Week
- 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
- 11.1Aims & Objectives15 Minutes
- 11.2Equity Market Architecture and Governance60 Minutes
- 11.3Index Composition, Weighting and Rebalancing60 Minutes
- 11.4Valuation Models and Earnings Structures60 Minutes
- 11.5Revenue, Margin and Cash Flow Interpretation60 Minutes
- 11.6Passive vs Active Flows and Market Influence60 Minutes
- 11.7Market Breadth, Leadership and Confirmation60 Minutes
- 11.8Factor Investing and Smart Beta60 Minutes
- 11.9Corporate Actions and Market Impact60 Minutes
- 11.10Buybacks, Dividends and Capital Allocation60 Minutes
- 11.11ETF Dynamics and Flow Pressure60 Minutes
- 11.12Equity Volatility and Options Positioning60 Minutes
- 11.13Sector Rotation and Macro Sensitivity60 Minutes
- 11.14Equity Risk Premium and Global Allocation60 Minutes
- 11.15Microcap vs Large-Cap Behaviour60 Minutes
- 11.16Sentiment, Positioning and Market Psychology60 Minutes
- 11.17Equity–Bond Correlation Regimes60 Minutes
- 11.18Index Arbitrage and Futures Dynamics60 Minutes
- 11.19Earnings Season Trading Models60 Minutes
- 11.20Global Equity Interdependence60 Minutes
- 11.21Building Equity and Index Macro Trades60 Minutes
- 11.22Module 9 – Equity & Index Market Structure, Valuation & Flow – Assignment1 Week
- 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
- 12.1Aims & Objectives15 Minutes
- 12.2Structure of Commodity Markets60 Minutes
- 12.3Energy Fundamentals: Oil, Gas and Power60 Minutes
- 12.4Metals: Industrial and Precious60 Minutes
- 12.5Agricultural Markets and Seasonal Drivers60 Minutes
- 12.6Supply Chains, Trade Flows and Logistics60 Minutes
- 12.7OPEC, Geopolitics and Energy Policy60 Minutes
- 12.8Inventory Cycles and Storage Economics60 Minutes
- 12.9Futures Term Structure: Contango and Backwardation60 Minutes
- 12.10Basis Risk and Spread Trading60 Minutes
- 12.11Weather, Climate and Commodity Shocks60 Minutes
- 12.12Commodity Supercycles and Structural Themes60 Minutes
- 12.13Hedging Models and Commercial Flows60 Minutes
- 12.14Speculative Positioning and Fund Flows60 Minutes
- 12.15Commodity–FX Interactions60 Minutes
- 12.16Volatility in Commodity Markets60 Minutes
- 12.17Energy Transition and ESG Influence60 Minutes
- 12.18Commodity Microstructure and Liquidity60 Minutes
- 12.19News, Data and Real-Time Repricing60 Minutes
- 12.20Integrating Commodities into Macro Strategy60 Minutes
- 12.21Constructing Commodity Trade Ideas60 Minutes
- 12.22Module 10 – Commodity & Energy Market Trading – Assignment1 Week
- 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
- 13.1Aims & Objectives15 Minutes
- 13.2Options Basics and Institutional Applications60 Minutes
- 13.3Volatility Surfaces and Skew Interpretation60 Minutes
- 13.4Greeks, Risk Sensitivity and Dynamics60 Minutes
- 13.5Implied vs Realised Volatility Models60 Minutes
- 13.6Options Market Microstructure60 Minutes
- 13.7Hedging, Gamma Exposure and Market Impact60 Minutes
- 13.8Volatility Regimes and Vol Cycles60 Minutes
- 13.9Options Strategies for Directional Trades60 Minutes
- 13.10Options for Hedging and Income Generation60 Minutes
- 13.11Volatility Products and VIX Structures60 Minutes
- 13.12Cross-Asset Volatility Relationships60 Minutes
- 13.13Systemic vs Local Volatility Drivers60 Minutes
- 13.14Exotic Options and Structured Products60 Minutes
- 13.15Dealer Flow, Positioning and Market Movement60 Minutes
- 13.16Volatility Arbitrage and Dispersion Trading60 Minutes
- 13.17Options-Based Risk Management60 Minutes
- 13.18Event Volatility and Catalyst Strategy60 Minutes
- 13.19Automated Volatility Models60 Minutes
- 13.20Ethical and Regulatory Aspects of Derivatives60 Minutes
- 13.21Building Options-Integrated Trading Strategies60 Minutes
- 13.22Module 11 – Derivatives, Volatility & Options Structures – Assignment1 Week
- 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
- 14.1Aims & Objectives15 Minutes
- 14.2The Structure of Digital Asset Markets60 Minutes
- 14.3Blockchain Architecture and Consensus Models60 Minutes
- 14.4Crypto Valuation Frameworks60 Minutes
- 14.5Stablecoins and Digital Money Systems60 Minutes
- 14.6Smart Contracts and Institutional Use Cases60 Minutes
- 14.7Market Microstructure in Crypto Exchanges60 Minutes
- 14.8Liquidity, Volatility and Regime Shifts60 Minutes
- 14.9On-Chain Data and Analytical Methods60 Minutes
- 14.10Algorithmic Trading in Digital Assets60 Minutes
- 14.11Crypto Derivatives and Leverage Risks60 Minutes
- 14.12Regulatory Landscape and Cross-Border Issues60 Minutes
- 14.13Custody, Security and Operational Controls60 Minutes
- 14.14Tokenomics and Incentive Models60 Minutes
- 14.15Institutional Adoption and Thematic Flows60 Minutes
- 14.16Behavioural Patterns in Digital Markets60 Minutes
- 14.17Macro Impact on Crypto Cycles60 Minutes
- 14.18Stablecoin Risk and FX Intersections60 Minutes
- 14.19DeFi, CeFi and Hybrid Systems60 Minutes
- 14.20Digital Assets in Portfolio Construction60 Minutes
- 14.21Strategic Digital Asset Trading Models60 Minutes
- 14.22Module 12 – Digital Assets, Blockchain & Alternative Markets – Assignment1 Week
- 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
- 15.1Aims & Objectives15 Minutes
- 15.2Multi-Asset Analytic Frameworks60 Minutes
- 15.3Using Macro Signals Across Markets60 Minutes
- 15.4Correlation, Causality and Market Drivers60 Minutes
- 15.5Cross-Asset Confirmation Techniques60 Minutes
- 15.6Regime Classification and Strategy Alignment60 Minutes
- 15.7Liquidity, Volatility and Market Context60 Minutes
- 15.8Using Bond Markets to Predict Equities and FX60 Minutes
- 15.9Commodities as Macro Indicators60 Minutes
- 15.10Credit Conditions and Market Stress60 Minutes
- 15.11Cross-Asset Flows and Institutional Positioning60 Minutes
- 15.12Interpreting Global Data in Real Time60 Minutes
- 15.13Scenario-Based Macro Strategy Construction60 Minutes
- 15.14The Global Dollar System60 Minutes
- 15.15Funding, Leverage and Cross-Market Sensitivity60 Minutes
- 15.16Market Fragility and Systemic Shocks60 Minutes
- 15.17Integrating Technical and Macro Evidence60 Minutes
- 15.18Tactical vs Strategic Macro Positioning60 Minutes
- 15.19Macro Risk Management Frameworks60 Minutes
- 15.20Multi-Asset Execution Models60 Minutes
- 15.21Building Professional Global Macro Strategies60 Minutes
- 15.22Module 13 – Cross-Asset Integration & Global Macro Strategy – Assignment1 Week
- 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
- 16.1Aims & Objectives15 Minutes
- 16.2Psychology of Market Crowds60 Minutes
- 16.3Cognitive Errors in Professional Decision-Making60 Minutes
- 16.4Behavioural Biases and Trade Outcomes60 Minutes
- 16.5Prospect Theory and Loss Aversion60 Minutes
- 16.6Overreaction, Underreaction and Market Anomalies60 Minutes
- 16.7Sentiment, Positioning and Behavioural Flow60 Minutes
- 16.8Narrative Economics and Market Movements60 Minutes
- 16.9Emotional Processing Under Stress60 Minutes
- 16.10Decision Models in Uncertainty60 Minutes
- 16.11Bayesian Thinking and Evidence Updating60 Minutes
- 16.12Heuristics and Mental Shortcuts60 Minutes
- 16.13Impulse Control and Behavioural Discipline60 Minutes
- 16.14Team Dynamics and Institutional Behaviour60 Minutes
- 16.15Behavioural Risk Management60 Minutes
- 16.16Mispricing, Behaviour and Opportunity60 Minutes
- 16.17Building Behavioural Awareness in Trading60 Minutes
- 16.18Behavioural Predictors of Market Turning Points60 Minutes
- 16.19Emotional Safety and Trading Longevity60 Minutes
- 16.20Cognitive Agility and Performance Adaptation60 Minutes
- 16.21Behavioural Mastery for Professional Traders60 Minutes
- 16.22Module 14 – Behavioural Finance, Decision Science & Risk Perception – Assignment1 Week
- 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
- 17.1Aims & Objectives15 Minutes
- 17.2Introduction to Quantitative Logic60 Minutes
- 17.3Data Sources, Cleaning and Structuring60 Minutes
- 17.4Statistical Foundations and Hypothesis Testing60 Minutes
- 17.5Time-Series Analysis for Trading60 Minutes
- 17.6Factor Models and Systematic Signals60 Minutes
- 17.7Machine Learning in Trading Systems60 Minutes
- 17.8Momentum, Carry and Value Signals60 Minutes
- 17.9Volatility Modelling and GARCH Structures60 Minutes
- 17.10Regime Detection and Market States60 Minutes
- 17.11Backtesting, Validation and Model Integrity60 Minutes
- 17.12Avoiding Overfitting and Bias60 Minutes
- 17.13Risk Modelling and Portfolio Statistics60 Minutes
- 17.14Execution Algorithms and Slippage Modelling60 Minutes
- 17.15High-Frequency Data and Microstructure Noise60 Minutes
- 17.16Systematic Risk Management60 Minutes
- 17.17Combining Quantitative and Discretionary Logic60 Minutes
- 17.18Quantitative Approaches to Macro60 Minutes
- 17.19Automated Strategy Deployment60 Minutes
- 17.20Compliance, Model Risk and Governance60 Minutes
- 17.21Building Robust Systematic Trading Models60 Minutes
- 17.22Module 15 – Quantitative Trading & Systematic Modelling – Assignment1 Week
- 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
- 18.1Aims & Objectives15 Minutes
- 18.2Portfolio Construction Foundations60 Minutes
- 18.3Asset Allocation Models and Frameworks60 Minutes
- 18.4Diversification and Correlation Structures60 Minutes
- 18.5Risk Parity, Target Vol and Vol Control60 Minutes
- 18.6Expected Return Modelling60 Minutes
- 18.7Position Sizing and Exposure Calibration60 Minutes
- 18.8Drawdown Management and Survival Rules60 Minutes
- 18.9Tail Risk, Skew and Stress Testing60 Minutes
- 18.10Portfolio Hedging and Protection60 Minutes
- 18.11Factor-Based Portfolio Design60 Minutes
- 18.12Tactical vs Strategic Allocation60 Minutes
- 18.13Multi-Asset Portfolio Integration60 Minutes
- 18.14Regime-Based Allocation Approaches60 Minutes
- 18.15Liquidity Risk and Portfolio Resilience60 Minutes
- 18.16Institutional Portfolio Governance60 Minutes
- 18.17Performance Attribution and Benchmarking60 Minutes
- 18.18Capital Allocation and Risk Budgeting60 Minutes
- 18.19Portfolio Review Cycles and Adjustments60 Minutes
- 18.20Behavioural Bias in Portfolio Decisions60 Minutes
- 18.21Constructing a Professional Trading Portfolio60 Minutes
- 18.22Module 16 – Portfolio Management, Asset Allocation & Risk Budgeting – Assignment1 Week
- 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
- 19.1Aims & Objectives15 Minutes
- 19.2AI Foundations and Trading Applications60 Minutes
- 19.3Supervised, Unsupervised and Reinforcement Learning60 Minutes
- 19.4Neural Networks and Deep Learning Models60 Minutes
- 19.5NLP for Financial Markets60 Minutes
- 19.6LLMs and Trading Information Processing60 Minutes
- 19.7AI-Based Signal Discovery60 Minutes
- 19.8Pattern Detection and Classification Models60 Minutes
- 19.9Algorithmic Execution with AI60 Minutes
- 19.10Regime Detection Using Machine Learning60 Minutes
- 19.11Risk Modelling with AI60 Minutes
- 19.12AI in News and Sentiment Analysis60 Minutes
- 19.13Automation of Research and Thesis Validation60 Minutes
- 19.14Using AI in Macro Forecasting60 Minutes
- 19.15Bias, Drift and Model Decay60 Minutes
- 19.16Data Governance and Model Ethics60 Minutes
- 19.17AI Infrastructure for Trading Firms60 Minutes
- 19.18AI-Augmented Analyst Workflows60 Minutes
- 19.19Hybrid Discretionary + AI Models60 Minutes
- 19.20Regulatory Oversight for AI Systems60 Minutes
- 19.21Building Institutional-Grade AI Trading Systems60 Minutes
- 19.22Module 17 – Artificial Intelligence & Machine Learning in Trading – Assignment1 Week
- 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
- 20.1Aims & Objectives15 Minutes
- 20.2System Architecture and Infrastructure Design60 Minutes
- 20.3APIs, Data Feeds and Connectivity60 Minutes
- 20.4Automation Frameworks and Trade Management60 Minutes
- 20.5Back-End Systems for Execution60 Minutes
- 20.6OMS/EMS Architecture60 Minutes
- 20.7Cloud vs Local Deployment60 Minutes
- 20.8Latency, Throughput and Network Performance60 Minutes
- 20.9Failover, Redundancy and Resilience60 Minutes
- 20.10Data Storage, Lakes and Pipelines60 Minutes
- 20.11Risk Engines and Monitoring Systems60 Minutes
- 20.12Automated Alerts and Exception Handling60 Minutes
- 20.13Trade Logging, Auditing and Compliance60 Minutes
- 20.14Automated Strategy Deployment60 Minutes
- 20.15Infrastructure for Systematic Trading60 Minutes
- 20.16Model Hosting and Execution Governance60 Minutes
- 20.17Cybersecurity and Threat Surfaces60 Minutes
- 20.18Disaster Recovery and Business Continuity60 Minutes
- 20.19Infrastructure Testing and QA60 Minutes
- 20.20Regulatory Requirements for Trading Infrastructure60 Minutes
- 20.21Building Scalable Automated Trading Systems60 Minutes
- 20.22Module 18 – Trading System Architecture, Automation & Infrastructure – Assignment1 Week
- 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
- 21.1Aims & Objectives15 Minutes
- 21.2Geopolitical Frameworks for Traders60 Minutes
- 21.3Global Power Structures and Economic Influence60 Minutes
- 21.4Geopolitical Drivers of Markets60 Minutes
- 21.5War, Conflict and Market Shock Transmission60 Minutes
- 21.6Resource Competition and Commodity Impacts60 Minutes
- 21.7Sanctions, Trade Restrictions and FX Effects60 Minutes
- 21.8Monetary Hegemony and the Global Dollar System60 Minutes
- 21.9Emerging Powers and Economic Shifts60 Minutes
- 21.10Systemic Risk and Financial Fragility60 Minutes
- 21.11Crisis Dynamics and Contagion Pathways60 Minutes
- 21.12Political Cycles and Elections60 Minutes
- 21.13Fiscal Policy, Debt Crises and Sovereign Stress60 Minutes
- 21.14Cross-Border Capital Flow Risk60 Minutes
- 21.15Geopolitical Intelligence and Scenario Planning60 Minutes
- 21.16National Security and Market Infrastructure Risks60 Minutes
- 21.17Geoeconomics and Investment Strategy60 Minutes
- 21.18Central Banks in Global Stability60 Minutes
- 21.19Multi-Polar World and Market Fragmentation60 Minutes
- 21.20Black Swans, Grey Rhinos and Tail Risk60 Minutes
- 21.21Building Geopolitically Informed Trade Strategies60 Minutes
- 21.22Module 19 – Global Policy, Geopolitics & Systemic Market Risk – Assignment1 Week
- 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
- 22.1Aims & Objectives15 Minutes
- 22.2Global Regulatory Architecture60 Minutes
- 22.3FCA, SEC, CFTC, ESMA and Global Regulators60 Minutes
- 22.4Financial Crime, AML/KYC and Controls60 Minutes
- 22.5Market Abuse, Insider Risk and Surveillance60 Minutes
- 22.6Best Execution and Order Handling Rules60 Minutes
- 22.7Conduct Risk and Ethical Trading60 Minutes
- 22.8Governance Requirements for Trading Firms60 Minutes
- 22.9Reporting, Record-Keeping and Audits60 Minutes
- 22.10Algorithmic Trading Regulation60 Minutes
- 22.11Conflicts of Interest and Chinese Walls60 Minutes
- 22.12Suitability and Investor Protection60 Minutes
- 22.13Operational Risk and Control Frameworks60 Minutes
- 22.14Model Risk Governance60 Minutes
- 22.15Regulatory Stress Testing60 Minutes
- 22.16Compliance in Market Microstructure60 Minutes
- 22.17Culture, Behaviour and Ethics60 Minutes
- 22.18Penalties, Enforcement and Case Studies60 Minutes
- 22.19Regulatory Change Management60 Minutes
- 22.20Global Regulatory Divergence60 Minutes
- 22.21Professional Compliance as a Trading Edge60 Minutes
- 22.22Module 20 – Institutional Regulation, Compliance & Market Conduct – Assignment1 Week
- 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
- 23.1Aims & Objectives15 Minutes
- 23.2Performance Conditioning and Cognitive Priming60 Minutes
- 23.3Emotional Regulation Under Pressure60 Minutes
- 23.4High-Performance Routines and Habits60 Minutes
- 23.5Mental Models for Professional Decision Making60 Minutes
- 23.6Reducing Cognitive Noise and Distraction60 Minutes
- 23.7Building Bulletproof Discipline60 Minutes
- 23.8Internal Dialogue and Performance Identity60 Minutes
- 23.9Handling Drawdowns and Psychological Shock60 Minutes
- 23.10Reinforcement of Positive Patterns60 Minutes
- 23.11The Psychology of Execution60 Minutes
- 23.12Emotional–Technical Confluence60 Minutes
- 23.13Energy Management and Focus States60 Minutes
- 23.14Advanced Stress Management60 Minutes
- 23.15Psychological Bias in Trade Management60 Minutes
- 23.16Peak Cognitive States for Trading60 Minutes
- 23.17Long-Term Self-Mastery for Traders60 Minutes
- 23.18Behavioural Consistency and Reliability60 Minutes
- 23.19Crisis Psychology and Emotional Stability60 Minutes
- 23.20The Trader as a Performance Athlete60 Minutes
- 23.21Designing a Peak-Performance Trading Life60 Minutes
- 23.22Module 21 – Professional Trading Psychology & Peak Performance – Assignment1 Week
- 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
- 24.1Aims & Objectives15 Minutes
- 24.2Governance Structures in Financial Institutions60 Minutes
- 24.3Board Oversight and Executive Accountability60 Minutes
- 24.4Conduct Risk Frameworks60 Minutes
- 24.5Behavioural Governance and Culture60 Minutes
- 24.6Internal Controls, Assurance and Monitoring60 Minutes
- 24.7Operational Risk and Resilience Models60 Minutes
- 24.8Third-Party Risk and Outsourcing Rules60 Minutes
- 24.9IT Governance and Cybersecurity Controls60 Minutes
- 24.10Business Continuity Planning60 Minutes
- 24.11Crisis Management Architecture60 Minutes
- 24.12Regulatory Governance and Accountability60 Minutes
- 24.13Senior Managers and Certification Regimes60 Minutes
- 24.14Enterprise Risk Management Integration60 Minutes
- 24.15Non-Financial Risk and Control Failures60 Minutes
- 24.16ESG, Stewardship and Ethical Governance60 Minutes
- 24.17Audit, Assurance and Control Testing60 Minutes
- 24.18Escalation, Issue Management and Resolution60 Minutes
- 24.19Governance Lessons from Major Failures60 Minutes
- 24.20Organisational Resilience in Trading Firms60 Minutes
- 24.21Professional Responsibility and Long-Term Integrity60 Minutes
- 24.22Module 22 – Regulatory Governance, Conduct Risk & Organisational Resilience – Assignment1 Week
- 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
- 25.1Aims & Objectives15 Minutes
- 25.2Mapping the Professional Trading Landscape60 Minutes
- 25.3Sell-Side vs Buy-Side Career Paths60 Minutes
- 25.4Institutional Role Structures and Progression60 Minutes
- 25.5Building a Professional Trading Skill Stack60 Minutes
- 25.6Professional Branding and Network Strategy60 Minutes
- 25.7Mentorship and Development Acceleration60 Minutes
- 25.8Portfolio Construction for a Career60 Minutes
- 25.9Learning, Research and Continuous Improvement60 Minutes
- 25.10Career Risk Management and Strategic Pivots60 Minutes
- 25.11Selling Yourself in the Professional Market60 Minutes
- 25.12Communication, Influence and Leadership60 Minutes
- 25.13Building Credibility in the Industry60 Minutes
- 25.14Navigating Market Cycles Professionally60 Minutes
- 25.15Internal Mobility and External Opportunities60 Minutes
- 25.16Creating a Unique Trading Edge60 Minutes
- 25.17Long-Term Financial Planning for Traders60 Minutes
- 25.18Managing Burnout and Sustainability60 Minutes
- 25.19Career Portfolio Diversification60 Minutes
- 25.20Preparing for Senior Leadership Roles60 Minutes
- 25.21Designing a Long-Term Trading Career Strategy60 Minutes
- 25.22Module 23 – Strategic Career Development for Professional Traders – Assignment1 Week
- 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
- 26.1Aims & Objectives15 Minutes
- 26.2Academic Foundations for Financial Research60 Minutes
- 26.3Research Paradigms and Methodologies60 Minutes
- 26.4Hypothesis Formation and Theory Development60 Minutes
- 26.5Literature Review for Financial Topics60 Minutes
- 26.6Data Collection and Quality Control60 Minutes
- 26.7Quantitative Research Methods60 Minutes
- 26.8Qualitative Research Methods60 Minutes
- 26.9Mixed-Method Research Approaches60 Minutes
- 26.10Statistical Tools and Research Software60 Minutes
- 26.11Research Ethics and Governance60 Minutes
- 26.12Developing Research Questions60 Minutes
- 26.13Model Development and Testing60 Minutes
- 26.14Regression, Forecasting and Analysis60 Minutes
- 26.15Interpretation of Results60 Minutes
- 26.16Validity, Reliability and Robustness60 Minutes
- 26.17Building Research Frameworks60 Minutes
- 26.18Research Writing and Academic Structure60 Minutes
- 26.19Presenting Research to Stakeholders60 Minutes
- 26.20Research Review and Feedback Cycles60 Minutes
- 26.21Preparing for the Applied Trading Dissertation60 Minutes
- 26.22Module 24 – Research Methods for Financial Markets – Assignment1 Week
- 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
- 27.1Aims & Objectives15 Minutes
- 27.2Selecting a Dissertation Topic60 Minutes
- 27.3Defining Research Objectives60 Minutes
- 27.4Building a Conceptual Framework60 Minutes
- 27.5Literature Mapping and Insight Development60 Minutes
- 27.6Data Strategy and Sourcing60 Minutes
- 27.7Methodological Alignment60 Minutes
- 27.8Developing the Research Model60 Minutes
- 27.9Structuring the Analysis Framework60 Minutes
- 27.10Integrating Macro, Microstructure and Behaviour60 Minutes
- 27.11Multi-Asset Modelling Techniques60 Minutes
- 27.12Stress Testing the Dissertation Framework60 Minutes
- 27.13Synthesising Evidence and Findings60 Minutes
- 27.14Writing the Analysis Chapters60 Minutes
- 27.15Deriving Practical Trading Implications60 Minutes
- 27.16Building a Dissertation-Grade Trading Strategy60 Minutes
- 27.17Refining Conclusions and Contributions60 Minutes
- 27.18Dissertation Presentation Methods60 Minutes
- 27.19Professional Academic Standards60 Minutes
- 27.20Peer Review and Supervisor Feedback60 Minutes
- 27.21Final Dissertation Submission Preparation60 Minutes
- 27.22Module 25 – Applied Trading Dissertation: Integration & Synthesis – Assignment1 Week
- 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


