Every concept. Every model. From basic market structure to the newer Mentorship models. Built from ICT's YouTube channel — recent Mentorship updates.
Start here. No prior knowledge required.
The foundation of everything — how price creates trends, breaks structure, and signals reversals.
Study how ICT-style liquidity concepts interpret stop locations, liquidity pools, and potential sweeps; these are framework-based interpretations, not verified explanations of every move.
Study 3-candle price imbalances, their common interpretations, and how traders test them as potential entry zones.
ICT teaching places strong emphasis on time-of-day context. Session timing can be useful for organizing analysis, but market behavior and liquidity vary by instrument and day.
Study core risk-management concepts including position sizing, R:R, stop placement, and loss limits before trading real capital.
Five core risk-management topics to study in ICT-style trading. Position sizing formula, R:R ratios, stop loss placement, loss limits, and the daily checklist that protects your account.
Entry models, sessions, and PD arrays in depth.
A framework for studying areas where significant buying or selling may have occurred and how price may react; the underlying orders and intent cannot be confirmed from a chart alone.
Study ICT session timing, macro windows, and how traders incorporate time of day into their analysis.
Study the Accumulation, Manipulation, Distribution (AMD) framework and how traders use it to structure a daily narrative.
Study premium and discount ranges, equilibrium, OTE, and how traders use them to frame potential entries.
Structured ICT entry-model frameworks, including Silver Bullet, 2022 Model, Unicorn, and others; test their conditions and outcomes rather than treating them as guaranteed setups.
The complete multi-timeframe methodology — from Monthly bias to 1-minute entry precision.
A key decision in many trading approaches — determining directional bias before price moves and building a narrative to guide entries.
Study Draw on Liquidity (DOL), external and internal range liquidity, and how traders identify potential targets.
Study the PD Array framework and how traders compare potential zones for entries and targets.
Understanding voids, gaps, and inefficiencies and how traders study price reactions around them.
A reversal pattern in ICT that studies false breakouts, liquidity sweeps, and potential reversals.
Study the Judas Swing as a false-move concept within AMD and how traders test it across sessions.
Master portfolio heat, correlated pairs, scaling in and out, and the Kelly Criterion. An advanced risk layer for studying exposure, correlation, scaling, and position sizing across multiple positions.
Study trading psychology, cognitive biases, discipline, mindset, and routines while testing which practices improve your own process.
Go beyond the basics — Kelly Criterion, correlation risk, drawdown recovery, and the psychology of protecting capital like a professional trader.
Study how traders adapt ICT concepts, session timing, opening ranges, and position sizing to NAS100 and US30.
Study what drives gold, how to adapt ICT killzones, and how traders apply ICT concepts to XAU/USD.
Apply ICT concepts to 24/7 crypto markets. Learn how traders adapt session timing, leverage controls, Bitcoin cycle context, and liquidity analysis to crypto.
A broad community framework overlapping with ICT terminology—structure, OBs, FVGs, and CHoCH—presented with explicit, testable definitions.
Market Maker Models, IPDA, SMT, and newer mentorship-era concepts.
Study the MMBM and MMSM frameworks and how ICT teachings model multi-day price behavior; the actual positions or intentions of banks cannot be confirmed from charts alone.
Study SMT divergence between correlated markets as a possible confirmation or context signal; divergence does not by itself establish institutional activity or predict the next move.
Study IPDA, weekly draws and Candle Range Theory as theoretical ICT frameworks for analyzing time and price behavior; they should not be treated as a verified market algorithm.
Newer ICT concepts including the Venom Model, Propulsion Blocks, Quarterly Shifts, and related mentorship updates.
How ICT-style frameworks interpret accumulation, manipulation, and distribution when studying price behavior often described as institutional-scale delivery; these interpretations should be tested rather than treated as direct evidence of institutional activity.
Learn to build a multi-timeframe trading narrative from higher-timeframe context to execution.
Study quarterly theory and seasonal tendencies as contextual tools for forming a market narrative.
Study the relationship between time windows and price locations and how traders incorporate both into analysis.
A reaction zone in ICT where bullish and bearish FVGs overlap; study how traders use the area as potential confluence.
Study execution, stop placement, targets, partials, break-even logic, and position sizing within a defined trade plan.
Learn how to backtest an ICT model, evaluate sample size and out-of-sample behavior, and validate rules before risking capital.
Turn completed trades into usable evidence with structured journaling, review metrics, screenshots and rule refinement.
Build a news-aware execution process that accounts for volatility, spreads, slippage, scheduled events and no-trade conditions.
Use these focused guides alongside the curriculum to understand the terminology, build testable rules, and connect concepts across modules.
New to trading? Start with Trading Foundations first, then come back here.
Start Module 1 →