Foundations
Financial markets, asset classes, participants, order types, liquidity, volatility, and basic trading mechanics.
Curriculum architecture
The curriculum is organized by learning level, not random topics. Each level builds the mental models, vocabulary, visuals, tools, and practice routines needed for the next one.
Financial markets, asset classes, participants, order types, liquidity, volatility, and basic trading mechanics.
Market structure, trends, support and resistance, price action, trendlines, channels, breaks, and retests.
Price discovery, balance, imbalance, acceptance, rejection, volume profile, market profile, and value migration.
Volume analysis, delta, cumulative delta, footprint charts, DOM, order book behavior, absorption, and exhaustion.
Liquidity, sweeps, BOS, CHoCH, MSS, fair value gaps, order blocks, premium and discount, and session models.
Elliott Wave, Fibonacci, correlations, multi-timeframe analysis, and structured confluence.
Probability, statistics, expectancy, backtesting, strategy testing, and quantitative trading systems.
Position sizing, risk models, portfolio risk, drawdown management, and capital preservation.
Discipline, emotional control, trading journals, performance reviews, and behavior feedback loops.
Portfolio theory, performance analytics, research frameworks, professional process, and decision governance.
Mastery model
Each level should move learners from vocabulary to practice, then from practice to review. This keeps the curriculum from becoming a list of impressive words.
Know the vocabulary, labels, and prerequisite ideas.
Use a chart, diagram, or comparison to explain why it matters.
Complete a drill, worksheet, calculator, or scenario question.
Recall it later, spot failure cases, and connect it to risk.
Full module map
Every module should ship with a concept diagram, lesson page, glossary links, practice prompt, quiz, and review checklist.
What is a market, asset classes, stocks, forex, futures, commodities, crypto, and market participants.
Bid and ask, spread, liquidity, volatility, market orders, limit orders, and stop orders.
Higher highs, higher lows, lower highs, lower lows, break of structure, and change of character. Open the full pillar lesson.
Uptrends, downtrends, sideways markets, trend strength, and transition zones.
Horizontal levels, dynamic levels, zones, reactions, failed levels, and retests.
Candlesticks, rejections, engulfing candles, pin bars, and market reactions.
Trendlines, channels, breaks, retests, and false breaks.
Price discovery, balance, imbalance, acceptance, rejection, and two-way auction behavior.
POC, VAH, VAL, HVN, LVN, value areas, and volume distribution.
TPO, initial balance, value migration, range development, and session structure.
Volume, participation, effort versus result, and confirmation context.
Delta, cumulative delta, divergence, absorption, and buyer or seller pressure.
Bid x ask, imbalances, absorption, exhaustion, and aggressive participation.
Depth of market, liquidity, icebergs, spoofing, and visible order behavior.
Liquidity pools, stop hunts, sweeps, equal highs, equal lows, and raid logic.
BOS, CHoCH, MSS, displacement, and structure shifts.
FVG, IFVG, inefficiency, mitigation, and gap invalidation.
Order blocks, breakers, mitigation blocks, and refinement rules.
Equilibrium, dealing range, discount zones, premium zones, and context.
London, New York, kill zones, session volatility, and time-based context.
Elliott Wave, Fibonacci, correlations, and multi-timeframe analysis.
Probability, statistics, expectancy, backtesting, strategy testing, and quantitative trading systems.
Position sizing, risk models, portfolio risk, and drawdown management.
Discipline, emotional control, trading journal, and performance reviews.
Portfolio theory, performance analytics, research frameworks, and professional trading process.