LiquidityScan

· ENTRY MODELS & TIMING · 10 MIN READ · UPDATED TODAY

Which ICT Model Should You Trade? A Decision Framework

The right ICT model is the one that fits your schedule, market, and temperament — not the one with the loudest hype. Pick by constraint, master one to consistency, then add.

Which ICT Model Should You Trade?

Trade the ICT model that matches your available time, preferred timeframe, market, and personality — not the one trending on YouTube. A part-time trader on a session-specific model like the Silver Bullet will outperform a beginner who rotates through five setups every week. Fit beats novelty.

Deciding which ICT model to trade is a constraints problem, not a knowledge problem. Once you map your real-world limits against how each model family behaves, the choice narrows to one or two candidates. This framework walks through those constraints, gives you a decision table, and shows how to pressure-test your pick before you commit screen time to it.

Why Model-Hopping Keeps ICT Traders Stuck

ICT publishes dozens of models: the 2022 model, Silver Bullet, the Unicorn Model, Turtle Soup, the Judas Swing, Power of 3 (Po3/AMD), CRT, Optimal Trade Entry (OTE), and various order block and FVG entries. Each has legitimate logic. The failure mode is not the models — it is sampling all of them and mastering none.

Model-hopping breaks the one thing an edge requires: a large, consistent sample. If you trade Silver Bullet on Monday, Turtle Soup on Wednesday, and a Po3 idea on Friday, you never accumulate 50 clean instances of any single setup.

Without that sample you cannot tell whether a model is losing because it does not work or because you are still learning to read it. Every drawdown feels like a signal to switch, so you switch, and the counter resets.

The traders who compound are boring. They run one model, in one or two sessions, on a short list of instruments, for months. Choosing which ICT model to trade well is really choosing what to ignore.

The Four Constraints That Should Pick Your Model

Before comparing models, define your constraints honestly. These four decide more than any indicator does.

1. Time availability

How many hours, and which hours, can you actually watch price? A 9-to-5 worker cannot day-trade the New York session live. That points to a time-boxed model you can trade inside one Kill Zone — for example a single Silver Bullet window (a fixed hour) or a London-open setup before work.

Higher-timeframe swing entries you set and leave are another fit for tight schedules. A full-time trader, by contrast, can run intraday continuation and reversal models that need active management.

2. Timeframe preference

Are you a scalper, a day trader, or a swing trader? Scalpers live on 1-5 minute charts inside macros and Silver Bullet windows. Day traders work 15m-1H entries off a 4H bias. Swing traders take Daily/4H order block and OTE entries and hold for days. Pick the timeframe you can emotionally hold — mismatched hold times cause premature exits.

3. Market

Crypto trades 24/7 with no session close, so session-anchored models (Judas Swing off the daily open, London/NY kill zones) apply loosely and volatility clusters differently. Forex and index futures have clean session opens, making time-based models sharper.

If you only watch evenings, a 24/7 crypto pair may suit you better than a forex pair whose kill zone falls while you sleep.

4. Personality

Do you want mechanical rules or discretionary reads? Do you prefer catching reversals or riding continuation? Reversal models (Turtle Soup, Judas Swing) require you to buy into apparent weakness — uncomfortable for many. Continuation models (order block and FVG re-entries within a trend) feel more natural but demand patience for the pullback. Choose the emotional posture you can repeat.

ICT Model Decision Table

Match your dominant constraint to a recommended model family. Use this as a starting filter, not a law — most traders satisfy one row strongly.

Your constraintRecommended model familyWhy it fits
9-5 job, ~1 hour before/after workSingle kill-zone / Silver Bullet windowTime-boxed to a fixed hour you can block off; no all-day screen time required.
Full-time, can watch live sessionsIntraday continuation (OB/FVG entries) + Po3Rewards active management and reading displacement in real time.
Scalper, loves fast feedbackSilver Bullet + macros on 1-5mTight windows, many samples per week, quick resolution.
Swing trader, checks charts 1-2x/dayHTF OTE / order block set-and-forgetDaily/4H entries with wide stops; no intraday babysitting.
Crypto-only, eveningsJudas Swing off daily open / continuation entries24/7 market fits an off-session schedule; daily open anchors bias.
Prefers mechanical rules2022 model / Silver Bullet checklistDefined sequence: sweep, displacement, FVG entry — easy to codify.
Prefers discretionary readsUnicorn / continuation POI tradingRewards confluence judgment over rigid triggers.
Reversal personalityTurtle Soup / Judas SwingFades liquidity sweeps against the prior move.
Continuation personalityOrder block / FVG re-entry, Po3Enters with the established trend on a pullback.

The ICT Model Families at a Glance

Every named model reduces to one of three families. Knowing the family clarifies which ICT model to trade for your temperament.

Reversal models

These fade a liquidity raid. Turtle Soup buys after a false break of a prior low that swept sell-side stops. The Judas Swing uses an early-session fake move against the true daily direction. The Unicorn Model layers a breaker block with an overlapping Fair Value Gap (FVG) for a high-confluence reversal entry.

Strength: excellent risk-to-reward at turning points. Cost: you must act into discomfort, and timing is unforgiving.

Continuation models

These enter with the trend on a retracement into a point of interest. Bullish and bearish Order Block re-entries and FVG fills are the workhorses. Power of 3 (Po3/AMD) — accumulation, manipulation, distribution — frames the daily cycle so you buy the manipulation dip and hold the distribution leg. Strength: intuitive, trend-aligned, forgiving. Cost: fewer signals in choppy, rangebound conditions.

Time-based models

These trigger only inside defined windows. The Silver Bullet is a one-hour setup looking for an FVG entry after displacement. ICT macros are 20-minute windows of algorithmic delivery. Strength: they remove the "when do I look?" problem — ideal for part-timers. Cost: if the window produces no clean setup, you take nothing that day, which requires discipline.

Master One Model First — Then Migrate

The single highest-leverage rule when choosing which ICT model to trade: pick one and take it to consistency before touching anything else. Consistency means you can execute it mechanically, you have logged roughly 50+ instances, and your journal shows a stable expectancy — not necessarily profit yet, but a repeatable read.

One model first works because it isolates variables. When only one setup can lose you money, every losing trade teaches you something specific — the sweep was shallow, the displacement was weak, you entered before the FVG formed. Ten models blur that feedback into noise.

Build the base skill of reading displacement and Draw on Liquidity inside one model, and those skills transfer when you eventually expand. Practically: commit to one model for a defined block — say 60 trading days or 50 trades, whichever comes later — and forbid yourself from switching mid-block regardless of results. Review at the end, not during.

Adding a second model later

Once one model is consistent, expansion is additive, not lateral. Add a model that covers a condition your first one misses. If you run continuation entries, a reversal model like Turtle Soup lets you participate at range extremes where continuation gives no signal. If you scalp Silver Bullet, an HTF OTE swing model lets you hold winners longer.

Introduce the second model in isolation — separate journal tab, its own sample — so you can still measure each independently. Never trade a new model with real size until it has its own logged track record. Migration, not multitasking.

How to Choose Your First Model and Avoid Common Mistakes

Run your two strongest constraints through the table, pick the overlapping model family, then verify fit with three checks before committing.

The fit checklist

  • Schedule fit: Can you be at the screen for this model's window every trading day without rearranging your life? If it needs the NY session and you work 9-5, it fails — pick a pre-work or HTF model instead.
  • Mechanical fit: Can you write the entry as an if-then checklist a stranger could follow? If you cannot, it is too discretionary for a first model.
  • Market fit: Does your instrument actually produce this pattern? Session models need session-driven markets; crypto suits off-session, 24/7 continuation trading.

Worked example: a 9-5 crypto trader

Maria works 9am-6pm and can only trade evenings. Her dominant constraints are limited weekday hours and a crypto-only account (BTCUSDT, ETHUSDT). Running the table: the "9-5 job" row points to a time-boxed model, and the "crypto-only, evenings" row points to daily-open and continuation setups. The overlap is a continuation model anchored to the daily candle.

She picks a Po3-framed order block re-entry: mark the daily bias, wait for the manipulation leg to sweep liquidity and tap a 1H bullish order block or FVG in her evening window, then enter with the distribution leg.

It fits her schedule (she checks the daily open and one evening window), her market (BTC runs 24/7, so no session she must sleep through), and her personality (she prefers trading with the trend). She trades only that for 50 instances before considering the Silver Bullet.

Common mistakes to avoid

  • Choosing by hype, not fit: The Unicorn Model going viral does not make it right for someone who trades 30 minutes a day. Popularity is not a constraint.
  • Model-hopping after drawdowns: Switching mid-sample destroys the only thing that tells you whether a model works.
  • Picking a session you cannot watch: A NY-session model is worthless to a trader asleep at that hour. Schedule fit is non-negotiable.
  • Running a discretionary model too early: Beginners need mechanical rules to build reference experience; discretion comes after pattern recognition is built.
  • Collecting models instead of reps: Knowing ten models is not skill. Executing one model 200 times is.

Deciding which ICT model to trade is ultimately an act of subtraction: define your constraints, let the decision table remove the models that do not fit your life, commit to the one that survives, and take it to consistency before you add another.

The best model is the one you can actually trade, in your session, on your market, again and again.

Frequently Asked Questions

What is the easiest ICT model for beginners?

The Silver Bullet is often easiest to start with because it is mechanical and time-boxed — a fixed one-hour window, a defined sequence of displacement and FVG entry. Its rigid rules reduce the discretion beginners handle poorly, and the fixed window solves the "when do I look?" problem for part-time traders.

Can I trade more than one ICT model at once?

Eventually, but not while learning. Run a single model until you have a stable, logged sample of roughly 50+ trades and consistent execution. Adding a second model early splits your attention and prevents you from accumulating the sample size any edge needs to prove itself.

Which ICT model works best for crypto?

Continuation models — order block and FVG re-entries framed by Power of 3 — tend to fit crypto because the market runs 24/7 with no clean session close. Session-anchored models still work loosely, but daily-open bias and trend-continuation setups map better to crypto's around-the-clock volatility.

How long should I trade one model before switching?

Commit to a defined block — at least 50 trades or 60 trading days, whichever is longer — and do not switch mid-block regardless of results. Review at the end. This gives you a sample large enough to separate a genuinely poor fit from normal variance or a still-developing skill.

Once you have picked a model family, these guides help you build, fit, and commit to it in the right order.

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.