
1. What is the Twitter Model for ICT Trading
The “Twitter Model” is a simple ruleset that looks for:
- a liquidity sweep and Market Structure Shift,
- a retrace into a nearby Fair Value Gap, and
- confirmation from divergence (RSI or SMT).
You trade in the direction of the post-sweep shift, using the FVG as your entry zone and divergence as confidence.
2. Timeframes and tools for Twitter Model for ICT Trading
- Bias/Map: H1 → M15.
- Execution: M1–M2 (sometimes M5).
- Divergence: RSI(14) or SMT (e.g., EURUSD vs GBPUSD, or your pair vs DXY).
- Session: London AM or New York AM killzones.
3. The three pillars of Twitter Model for ICT Trading
1) Market Structure Shift (MSS)

A valid MSS is not just a wick poke.
You want a decisive break of the last swing in the opposite direction, ideally with a body close through that swing (displacement).
- After a bearish sweep, look for a bullish MSS (breaks prior lower-high).
- After a bullish sweep, look for a bearish MSS (breaks prior higher-low).
2) Fair Value Gap (FVG)

A three-candle imbalance where the middle candle’s body displaces so strongly that the first and third candle do not overlap.
Price often retraces into this gap before continuing.
- Bullish FVG forms on a strong up-displacement after MSS up.
- Bearish FVG forms on a strong down-displacement after MSS down.
Tip: The 50% of the FVG (consequent encroachment) often acts as the “sweet spot.”
3) Divergence (RSI or SMT)
Use divergence to anticipate that the sweep is likely to reverse.
- RSI divergence: Price makes a lower low but RSI makes a higher low (bullish). Or price makes a higher high but RSI makes a lower high (bearish).
- SMT divergence: Your instrument sweeps a key high/low while a correlated instrument does not. That failure to confirm is powerful.
4. Bullish playbook (after a downside sweep) under Twitter Model for ICT Trading

- Frame bias
- Higher timeframes show discount conditions or a bullish daily/weekly narrative.
- Wait for the sweep
- Sell-side liquidity is taken (e.g., Asian low, prior day’s low, equal lows).
- Look for RSI bullish divergence or SMT: your pair makes a lower low; a correlated pair does not.
- Confirm MSS up
- On M1–M2, price breaks a prior lower-high with displacement and closes beyond it.
- Mark the bullish FVG from the displacement leg
- Entry: limit or confirmation entry inside the FVG; refine to the 50% level if you wish.
- Invalidation: below the sweep’s wick or below the swing that created the imbalance.
- Targets
- Intraday: session mean, Asian high, internal buy-side rests, then PDH.
- Take partials at the first draw on liquidity; trail the rest.
Example
- Pair: EURUSD.
- Sweep: 1.0922 takes out Asian low. RSI on M1 prints a higher low while price makes a lower low.
- MSS up: Break and close above 1.0934 (prior LH).
- Bullish FVG: 1.0936–1.0942.
- Entry: 1.0939, stop 1.0920 (below sweep).
- Targets: 1.0955 (Asian high), then 1.0970 (PDH).
- R multiple: often 3R–5R if managed well.
5. Bearish playbook (after an upside sweep) under Twitter Model for ICT Trading

- Frame bias
- Premium conditions or a bearish daily/weekly narrative.
- Wait for the sweep
- Buy-side liquidity is taken (e.g., Asian high, prior day’s high, equal highs).
- Look for RSI bearish divergence or SMT: your pair makes a higher high; a correlated pair fails to confirm.
- Confirm MSS down
- On M1–M2, break and close below the prior higher-low with displacement.
- Mark the bearish FVG
- Entry inside the FVG or at its 50%.
- Invalidation: above the sweep’s wick.
- Targets
- Intraday: session mean, Asian low, internal sell-side rests, then PDL.
Example
- Pair: GBPUSD.
- Sweep: 1.2838 takes out equal highs; SMT shows EURUSD did not make a new high.
- MSS down: Close below 1.2821 (prior HL).
- Bearish FVG: 1.2818–1.2810.
- Entry: 1.2815, stop 1.2842.
- Targets: 1.2790 (Asian low), 1.2760 (sell-side cluster).
6. Optional confluences for Twitter Model for ICT Trading

- Order Block embedded in the FVG.
- OTE retracement (61.8–79%) aligns with the FVG.
- Time-of-day: London or New York AM.
- Premium/Discount of the developing day’s range (buy in discount, sell in premium).
- SMT with DXY when trading EURUSD, or cross-checks between EURUSD and GBPUSD.
7. Trade management for Twitter Model for ICT Trading
- Risk per trade: 0.25%–1% to avoid compounding errors on fast timeframes.
- Partial at first logical draw; move stop to breakeven once partials hit.
- If price fails to respect the FVG and reclaims the sweep level, consider an early cut.
8. Common mistakes while Trading Twitter Model for ICT
- Taking divergence without the sweep or MSS. Divergence alone is not a trigger.
- Entering before displacement closes through the swing.
- Using wide stops that sit inside the noise rather than beyond invalidation.
- Fighting a clear trend day. If displacement keeps printing in one direction, skip fades.
9. Simple checklist for Trading Twitter Model for ICT
- HTF bias defined and aligned?
- Clear liquidity pool just swept?
- RSI or SMT divergence at the sweep?
- Valid MSS with body close through the key swing?
- Fresh FVG in the displacement leg for entry?
- Logical invalidation beyond the sweep’s wick?
- Defined draw on liquidity for targets?
If you can tick most boxes, you have a clean Twitter Model setup.
10. One-glance template you can reuse while Trading Twitter Model for ICT
- Identify PDH/PDL and Asian range.
- Wait for London/NY to sweep one side.
- Confirm divergence (RSI/SMT).
- Demand a real MSS via displacement and close.
- Enter on the FVG retrace; manage risk and take partials at the first target.
Mastering this sequence keeps you focused on the core logic: a trap at liquidity, confirmation via structure, precision via FVG, and confidence via divergence.
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