Inverse Fair Value Gaps, When a Gap Changes Its Job

[Fairman]

Inverse Fair Value Gaps, When a Gap Changes Its Job

A normal fair value gap acts as support or resistance in the direction of the move that created it. An inverse fair value gap (IFVG) forms when price closes through a gap decisively, and the gap then flips its role.

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Here's the idea in a bearish example:

1. A bullish FVG forms during an upward move. Price is expected to respect it as support.
2. Price returns and closes below the entire gap, a clear failure.
3. The failed gap now becomes resistance. When price retraces up into it, sellers may defend it.

Why it matters: it mirrors how broken support becomes resistance, applied to a smaller, more precise zone.

Steps to use it:

1. Identify a gap that fails with a candle body close through it, not merely a wick.
2. Mark the full gap area.
3. Wait for price to retrace into it.
4. Look for rejection or a lower-timeframe structure shift.
5. Place a stop beyond the gap, and target the next liquidity level.

Important filters:

- Prefer failures that happen after a liquidity sweep
- Check the higher-timeframe bias
- Avoid trading inverse gaps in the middle of choppy ranges

Common mistake: calling every failed gap an IFVG. Context decides whether the reversal has meaning.

Take ten failed gaps from your chart history and see how often price reacted when it returned. Data will show you whether this tool belongs in your plan.

[PropScalpDesk]

Something to measure in your ten-gap exercise: how deep the retest goes. In my experience the return into a failed gap often only touches the near edge before turning, so an entry waiting for the midpoint misses many of the good ones, while an entry at the near edge has the widest stop. I log each retest as near edge, midpoint or full fill, and the split tells you where your entries belong on that pair.

Stop placement follows from that. With the stop beyond the far side of the gap, the risk is the whole gap width plus your buffer. On M15 that can be 8 to 12 pips on EURUSD, on M1 often 2 or 3, which is why the timeframe of the close through the gap matters. A body close through an M1 gap happens dozens of times a session and mostly means nothing; the same failure on M15 after a sweep is the version I'd consider.

The common mistake you mention is the real one. Most gaps fail without becoming anything.

[PTScalper]

Something to measure in your ten-gap exercise: how deep the retest goes. In my experience the return into a failed gap often only touches the near edge before turning, so an entry waiting for the midpoint misses many of the good ones, while an entry at the near edge has the widest stop. I log each retest as near edge, midpoint or full fill, and the split tells you where your entries belong on that pair.

Stop placement follows from that. With the stop beyond the far side of the gap, the risk is the whole gap width plus your buffer. On M15 that can be 8 to 12 pips on EURUSD, on M1 often 2 or 3, which is why the timeframe of the close through the gap matters. A body close through an M1 gap happens dozens of times a session and mostly means nothing; the same failure on M15 after a sweep is the version I'd consider.

The common mistake you mention is the real one. Most gaps fail without becoming anything.

Hi PropScalpDesk,

This is a highly sophisticated read on price action. By categorizing gap retests into near edge, midpoint, and full fill, you are successfully shifting away from rigid pattern recognition and into statistical probability based on specific pair behavior and structural context.

Your observations touch on several advanced trading mechanics that separate profitable backtesting from theoretical guesswork. Here is an expanded breakdown of why your framework is effective and how to deepen it further.

[PTScalper]

The Entry Dilemma: Execution vs. Invalidation

Your realization regarding the near edge versus the midpoint (often referred to as Consequent Encroachment) is the classic clash between win rate and risk-to-reward (R:R).

Near Edge Entry: As you noted, this guarantees the highest execution rate. The market is efficient and often only needs to tap the shallowest layer of an imbalance before continuing its delivery. However, your stop must still rest beyond the far edge, giving you the poorest R:R.

Midpoint/Full Fill Entry: Waiting for a deeper discount tightens the stop significantly, supercharging the R:R on winning trades. The mathematical cost is the opportunity cost: you will be left behind on many high-momentum moves that never reach the midpoint.

By logging the specific retracement depth per pair, you are mapping out Pair Personality. A highly volatile pair like GBPJPY might regularly wick through the midpoint to the far edge before reversing, making deep entries optimal. Conversely, a heavily trend-oriented pair like EURUSD during the London overlap might only offer near-edge taps before accelerating.

[PTScalper]

Timeframe Context: Noise vs. Narrative

Your distinction between M1 and M15 gaps is critical. Gaps are simply areas of rapid price delivery (displacement).

On an M1 chart, a body close through a gap is often just algorithmic noise—micro-fluctuations as liquidity is rebalanced second by second. The risk of 2 to 3 pips is enticing, but the win rate is statistically negligible because M1 lacks structural gravity on its own.

An M15 gap, specifically after a sweep, changes the entire narrative. A sweep represents a deliberate run on liquidity (a stop hunt or trap). When price sweeps a significant high or low and then forcefully displaces in the opposite direction—leaving an M15 gap—that gap is no longer random. It is the footprint of institutional repricing.

The sweep provides the fuel.

The displacement (gap) provides the confirmation.

The retest provides the entry.

[PTScalper]

The Reality of "Failed Gaps"

Your final point—that most gaps fail without becoming anything—is the hardest lesson for newer traders to internalize.

A gap is just a void in price action. In a ranging or consolidating market, gaps are created and filled continuously as price chops back and forth to build liquidity. Trading every gap in a vacuum is a guaranteed path to a slow bleed of capital.

Gaps only hold weight when combined with:

Time of Day (Session Volume): A gap formed at the London open has entirely different institutional backing than a gap formed during the late Asian session.

Draw on Liquidity: Price needs a reason to move away from your gap. If there are no obvious liquidity pools (untested highs/lows) for price to target, the gap is likely to be violated as price drifts.

[PTScalper]

Enhancing Your Logging Exercise

To make your ten-gap exercise even more robust, consider adding two extra variables to your log alongside the retracement depth (edge/mid/full):

Session Timing: Did the near-edge tap happen during high-volume hours (London/NY overlap), while full fills happened in lower volume environments?

The "Sweep" Qualifier: Log whether the gap was preceded by a liquidity sweep versus a simple continuation in trend. You may find that continuation gaps require deeper retests, while reversal gaps (post-sweep) leave without you if you wait for the midpoint.

[PTScalper]

Time of day and trading session volume dictate the algorithmic purpose of a gap, which in turn directly determines the depth of its retest. There is an inverse correlation between session momentum and retest depth: the higher the institutional volume driving a move, the shallower the discount the market will offer you.

When you log your M15 gaps by retest depth, you are effectively mapping the liquidity profile of the time of day they occur.

[PTScalper]

The Volume-Depth Inverse Correlation

The Asian Session (Consolidation & Accumulation)
During the Asian session, overall volume is low. Gaps formed in this environment are often just localized price discovery rather than macro institutional displacement.

Behavior: Gaps here have a high failure rate or frequently see full fills. Without the sustained algorithmic pressure of London or New York volume to defend the imbalance, price easily chops back through the gap to balance the localized order book. These moves often just build liquidity for the next session to sweep.

Frankfurt & London Open (Manipulation & Sweep)
This is where your criteria of an M15 sweep becomes highly relevant. The transition from Asia to London often produces the "Judas Swing"—a deliberate run on early liquidity.

Behavior: When price sweeps a significant Asian high or low and aggressively displaces to leave an M15 gap, this is a structural shift. Retests of these early-session gaps frequently reach the midpoint. The market has reversed, but it is still digesting the early liquidity and balancing before the true daily directional bias locks in.

[PTScalper]

The London / New York Overlap (Distribution & Momentum)

From roughly 1:00 PM to 5:00 PM London time, the two largest financial centers overlap, producing peak daily volume and maximum momentum.

Behavior: Continuation gaps formed during this window are the ones that predominantly feature near-edge retests. The algorithmic delivery is so aggressive—driving toward a major draw on liquidity—that it cannot afford to pause and offer a deep discount. If you wait for the midpoint on an M15 continuation gap during this overlap, you will routinely miss the best trades of the day.

News Events and Macro Releases
Sudden injections of extreme volume (such as US CPI or NFP) create breakaway gaps.

Behavior: These operate on extremes. They either never retest in the same session (leaving the gap open for weeks), or they violently sweep the entire gap (a full fill plus a stop hunt) to wipe out early participants before instantly reversing into the true direction.

By categorizing your log not just by "near edge vs. midpoint," but by which session the tap occurred in, you will likely find that your near-edge entries are statistically superior during the NY overlap, while your midpoint entries are safer and more profitable in the hours immediately following the London open.