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· ICT CONCEPTS · 8 MIN READ · UPDATED TODAY

How to Build a Complete ICT Trading Model (Step-by-Step)

How to Build a Complete ICT Trading Model (Step-by-Step)

A step-by-step framework for turning ICT concepts into one repeatable, backtestable trading model — bias, liquidity, entry, risk, and review.

The Core Components of an ICT Trading Model

A trading model is not a single setup. It is a documented decision tree that links a market read to a precise entry and an exit. Most intermediate ICT traders already know the concepts; what they lack is a fixed sequence that turns those concepts into repeatable, backtestable trades.

Every complete ICT trading model is built from five non-negotiable components. If any one is missing, the model produces inconsistent results.

  • Directional bias — a Higher Timeframe (HTF) narrative that tells you which way to trade.
  • Draw on Liquidity — the price objective the market is reaching toward.
  • Entry model — a specific, named pattern on the Lower Timeframe (LTF) that triggers the trade.
  • Risk rules — fixed stop placement, position size, and profit logic.
  • Review loop — a backtesting and journaling process that refines the model over time.

The steps below assemble these components in the order you should execute them on every chart.

Step 1: Define Your High-Timeframe Narrative (Bias)

Bias comes first because it filters every later decision. Without a directional narrative you will take entry signals in both directions and average out to noise.

Use a top-down read across three timeframes: Weekly for context, Daily for the active narrative, and 4H to refine timing. The HTF tells you the story; the LTF only confirms when to act.

Analyzing Market Structure Shifts (MSS/BOS)

Mark the most recent swing highs and lows on the Daily chart. A Market Structure Shift (MSS) — price breaking a swing point in the opposite direction after a Liquidity Sweep — signals a probable change in delivery. A simple Break of Structure (BOS) in the same direction confirms the existing trend.

  • Bullish bias: a sweep of a prior low, then a displacement leg that breaks a swing high.
  • Bearish bias: a sweep of a prior high, then displacement that breaks a swing low.

The Change in the State of Delivery (CISD) refines this further: it is the candle whose close confirms that delivery has flipped, giving you an objective bias trigger rather than a subjective trendline.

Using Premium and Discount Arrays

Anchor a Fibonacci range across the most relevant HTF swing. Above the 50% equilibrium is premium; below it is discount. In a bullish bias you only want longs from discount; in a bearish bias you only want shorts from premium.

This single rule removes most low-quality trades, because it forces you to wait for price to reach a logical Order Block or Fair Value Gap (FVG) inside the correct half of the range.

Step 2: Identify Your Draw on Liquidity

Once bias is set, define the target before you ever look for an entry. The Draw on Liquidity is the pool price is most likely to reach next, and it gives your trade a measured objective rather than a hopeful one.

Separate liquidity into two types and map both:

  • External liquidity — old highs and lows, equal highs/lows, and session extremes. These are the major draws that HTF moves target.
  • Internal liquidity — FVGs and Order Blocks left inside the range that price must mitigate on the way to external pools.

A clean model reads as one sentence: "Daily is bullish, price swept the weekly low (internal), and the draw is the prior weekly high (external)." Your entry will be timed against that draw, and your first target will sit just in front of it.

Step 3: Select Your Entry Model and PD Array

The entry model is the part traders obsess over, but it only works when Steps 1 and 2 are already locked. Pick one primary entry and one backup, name them, and trade nothing else until each is profitable in your journal.

The 2022 Mentorship Model (FVG Entry)

The ICT 2022 Mentorship Model is the cleanest starting entry because it is fully mechanical. Its sequence:

  1. Price sweeps a clear liquidity pool during a Kill Zone (London or NY).
  2. A displacement leg creates a Market Structure Shift and leaves an FVG.
  3. Price retraces into that FVG, the nearest PD Array, inside the correct premium/discount zone.
  4. Entry on the retrace; stop beyond the sweep; target the opposing Draw on Liquidity.

The Breaker Block Entry Model

When a setup forms after a failed swing, the Breaker Block is a strong alternative. A bullish Breaker is the last down-candle Order Block that price reclaims after sweeping lows. Enter on the retest of that reclaimed block, stop below the swept low, and target external liquidity.

Creating Your Entry Model Checklist

Reduce every entry to a yes/no checklist so execution is mechanical, not emotional:

  • HTF bias agrees with trade direction?
  • Price inside the correct premium/discount zone?
  • Liquidity sweep present before the move?
  • MSS/CISD confirming the shift?
  • Clean PD Array (FVG / Order Block / Breaker) to enter from?
  • Defined Draw on Liquidity with at least 2:1 reward?

If a single box is unchecked, you do not have a trade.

Step 4: Establish Risk and Trade Management Rules

Risk Management is the only component that keeps you in the game long enough for your edge to play out. These rules are fixed before the trade and never adjusted mid-position.

Stop-Loss Placement Strategy

Place the stop where the idea is invalidated, not where it "feels" safe. For an FVG entry, that is beyond the sweep that created the displacement. For a Breaker, it is beyond the reclaimed block. Size the position from that distance, never the reverse.

  • Risk a fixed percentage per trade (commonly 0.5–1%).
  • Let the stop distance set the lot size; never widen a stop to fit a lot.
  • Require a minimum 2:1 reward-to-risk to the first target.

Scaling Out and Managing the Position

Define how you take profit before entry. A simple, repeatable plan:

  1. Take partial profit at the internal liquidity / first opposing FVG.
  2. Move the stop to break-even once the first target is hit.
  3. Hold the remainder for the external Draw on Liquidity.

Whatever you choose, write it down and execute it identically every time. Discretionary management is the fastest way to break an otherwise sound model.

Step 5: Backtest and Refine Your Model

A model is only a hypothesis until Backtesting turns it into evidence. The goal is a documented sample large enough to show whether your edge is real.

Manual Backtesting Process

Backtest on a single instrument and a single entry model first.

  1. Replay HTF charts and mark bias exactly as your rules require.
  2. Drop to the LTF Kill Zone window and look only for your named entry.
  3. Execute the checklist with no hindsight; record the result whether it wins or loses.
  4. Collect at least 50–100 trades before judging the model.

Logging and Analyzing Your Results

Log every trade with the same fields: date, session, bias source, entry model, PD Array, reward-to-risk, and outcome. After 50 trades, review which conditions correlate with wins.

  • Win rate and average reward-to-risk together define expectancy.
  • Cut the conditions that consistently lose — for many traders that means a specific session or a low-conviction entry.
  • Refine one variable at a time so you always know what changed.

Example ICT Trading Model Template

Use this as a one-page ICT trading plan template you copy into your journal before every session:

  • Instrument & session: e.g. EUR/USD, NY AM Kill Zone.
  • HTF bias: Daily direction + CISD/MSS evidence.
  • Premium/Discount: entry only from the correct half of the range.
  • Draw on Liquidity: named external target + internal milestone.
  • Entry model: 2022 FVG model (primary) / Breaker (backup).
  • Risk: 1% max, stop beyond the sweep, minimum 2:1.
  • Management: partial at internal liquidity, stop to break-even, runner to external draw.
  • Review: log the trade, tag the conditions, update after 50 samples.

A tool such as LiquidityScan can pre-mark sweeps, FVGs, Order Blocks, and HTF bias for you, so your backtesting and live execution start from the same objective reference instead of a freehand drawing.

Frequently Asked Questions

How long does it take to build a profitable ICT model?

Expect three to six months of focused backtesting and journaling on a single entry model. The concepts can be learned in weeks, but the discipline to execute one model across 50–100 logged trades is what produces consistency.

Can I use multiple ICT entry models?

Eventually, yes, but not at the start. Master one mechanical model — usually the 2022 FVG entry — until it is profitable in your journal, then add a second model such as the Breaker only after the first is documented and stable.

What is the difference between a trading model and a trading plan?

A trading plan is the broad framework: instruments, sessions, risk limits, and routine. A trading model is the specific, repeatable setup inside that plan — the exact bias, draw, entry, and exit logic you execute trade by trade.

Build your model on objective data

Stop drawing sweeps and FVGs by hand. Try LiquidityScan's automated scanner and bias tools to auto-detect liquidity sweeps, Fair Value Gaps, Order Blocks, and Higher Timeframe bias — so your ICT model is backtested and executed from the same precise reference every session.

Hayk Muradian

Hayk Muradian

Founder & Lead Analyst at LiquidityScan · 12+ years ICT/SMC trading · Institutional order flow specialist

Hayk Muradian is the founder of LiquidityScan, a professional trading intelligence platform built for ICT (Inner Circle Trader) and Smart Money Concepts (SMC) traders. With over a decade of hands-on experience reading institutional order flow across crypto, forex, and futures markets, Hayk specializes in identifying liquidity events, order blocks, and CISD setups on closed candles.

He built LiquidityScan after years of frustration with retail charting tools that ignored the mechanics institutions actually use. The platform now scans 400+ markets in real-time, surfacing the same patterns floor traders watch — without the noise.

Hayk writes about the methodology behind ICT and SMC, with a focus on practical, data-driven analysis rather than hype. He is a vocal critic of "smart money" content that misrepresents institutional intent and a strong advocate for methodology-respectful education.

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Not trading advice. LiquidityScan publishes educational content for informational purposes only. Trading involves substantial risk of loss.