Module 101
Macroeconomic Fundamentals & System Architecture
- Duration: 4 Weeks
- 12 Video Seminars
- 4 PDF Research Papers
Course Objectives
An essential introduction to the theoretical frameworks governing global financial systems. This module deconstructs the vocabulary of the market, exploring how central banking decisions, gross domestic product (GDP), and inflationary pressures theoretically alter asset valuation. Designed for students with zero prior exposure to economic data.
Syllabus Breakdown
Week 1-2: The Macro Environment
- • The function of Central Banks (FED, ECB)
- • Interest rate theory and yield curves
- • Inflationary metrics (CPI, PPI) evaluation
- • Theoretical mechanics of Quantitative Easing
Week 3-4: Market Topography
- • Asset class definitions and correlations
- • Introduction to the Limit Order Book
- • Bid/Ask spread mechanics
- • Navigating research databases (Portal orientation)
Module 201
Market Microstructures & Order Flow Dynamics
- Duration: 4 Weeks
- 14 Video Seminars
- Simulator Exercises
Course Objectives
Moving past abstract economics, this module zooms in on the granular mechanics of price delivery. Students will study Auction Market Theory, exploring how liquidity is provided and consumed by algorithmic matching engines. The curriculum relies heavily on historical Level 2 data analysis.
Syllabus Breakdown
Auction Market Theory
- • Value area calculation and acceptance
- • Single print anomalies and historical repair
- • Volume weighted average price (VWAP) logic
- • Identification of structural imbalances
Liquidity Engineering
- • Stop-run mechanics (theoretical observation)
- • Reading historical footprint charts
- • Delta divergence in statistical data
- • The role of market makers in efficiency
Module 301
Statistical Pattern Recognition & Data Geometry
- Duration: 6 Weeks
- 18 Video Seminars
- Historical Sandbox Access
Course Objectives
This module introduces quantitative geometry. Students will learn to process raw historical price data into measurable statistical indicators. The focus is on defining parameters for probability rather than predicting future events. Emphasizes the creation of objective rulesets for data interpretation.
Syllabus Breakdown
Geometric Formations
- • Mathematical definition of fractal highs/lows
- • Standard deviation bollinger bands
- • Algorithmic mean reversion concepts
- • Evaluating historical break-of-structure
Temporal Analytics
- • Time-of-day statistical variance
- • Session overlap volatility mapping
- • Macroeconomic news event data processing
- • Multi-timeframe correlation matrices
Module 401
Variance Modeling & Risk Architecture
- Duration: 6 Weeks
- 15 Video Seminars
- Spreadsheet Templates
Course Objectives
A purely mathematical module dedicated to the science of capital preservation. Students learn that market analysis is secondary to risk architecture. This course teaches how to construct theoretical portfolios capable of surviving statistical anomalies and systemic "black swan" events through strict variance control.
Syllabus Breakdown
Exposure Mathematics
- • Position sizing calibration logic
- • The mathematics of compounding drawdowns
- • Invalidation point absolute definitions
- • Asymmetric risk-to-reward profiling
Systemic Defense
- • Pearson correlation coefficient studies
- • Hedging theory and execution logic
- • Assessing liquidity tail-risks
- • Monte Carlo simulation fundamentals
Module 500
Applied Behavioral Economics & Research Synthesis
- Duration: 8 Weeks
- 1-on-1 Faculty Review
- Final Research Thesis
Course Objectives
The final module synthesizes all previous learning environments while introducing the most difficult variable: human psychology. Students will examine prospect theory, studying why market participants consistently make irrational decisions under stress. The course concludes with a required historical case-study thesis.
Syllabus Breakdown
Cognitive Frameworks
- • Recency bias and confirmation traps
- • Loss aversion mathematics
- • Emotional regulation protocols
- • Objective journaling methodologies
Research Thesis
- • Constructing a statistical model
- • 12-month historical backtest requirement
- • Variance report compilation
- • Academic peer review session