Professional traders have long relied on Fair Value Gaps to time entries with almost surgical precision—often before the rest of the market even realizes what’s happening.
The technical desk at Plazo Sullivan Roche Capital teaches that FVGs are less about prediction and more about understanding how algorithmic order books rebalance themselves.
The Science Behind Fair Value Gaps
An FVG represents an inefficiency—an area where price moved too fast for opposing traders to fill orders.
The Institutional Logic Behind FVGs
This creates natural magnets: price will typically revisit these imbalances to test, mitigate, or confirm order flow.
The FVG Trading Model Used by Elite Traders
Look for Strong Institutional Moves
Displacement confirms that institutional activity caused the imbalance.
Outline the Exact Imbalance Zone
This is the region where price is likely to return.
Patience Creates Precision
Institutions use these pullbacks to reload positions at favorable pricing.
Bias Before Execution
Plazo Sullivan Roche Capital’s bias framework—weekly, daily, liquidity mapping—acts as the filter that upgrades an FVG from “possible” to “high-probability.”
Imbalances Work Both Ways
Marking both bullish and bearish gaps creates natural take-profit levels.
Why FVG Trading Works
Fair Value Gaps give traders a rare glimpse into algorithmic intent.
Combine FVG logic with market structure, liquidity pools, and volume confirmation, and you have one of the strongest frameworks available to retail traders today—one that here aligns perfectly with the advanced methodologies taught inside Plazo Sullivan Roche Capital.
FVGs aren’t signals—they’re context.
And once you learn their language, the market starts to speak back.