Video summary

Quarterly Theory Bootcamp │ SMT-Fill EP. 6

Main summary

Key takeaways

Educational

Main ideas / concepts

  • The video explains SMT fill as a simple but powerful concept for understanding when a “fair value gap” should hold (be respected) and when it likely won’t.
  • SMT fill is used primarily in relation to correlated assets (e.g., NQ/YM, DXY/Euro/GU, and “triads” referenced from a prior lecture).
  • The core logic: SMT fill acts like a “cracking correlation” signal, suggesting price is likely to reverse or make a meaningful move.
  • The instructor emphasizes time-frame alignment for applying SMT fill in trading setups and entry models.

Methodology / instructions (detailed)

Step 0: Use the right asset relationships

  • Compare closely correlated assets (examples mentioned: NQ & YM, DXY & Euro & GU, and triads from lecture 1).
  • SMT fill only applies when the fair value gap behavior is observed across at least two correlated assets.

Step 1: Identify “SMT fill” prerequisites (gap timing alignment)

To consider something an SMT fill setup, you must see:

  • A fair value gap forms at the exact same time across the correlated assets.
    • It does not need to appear on all assets, but must appear on at least two.

Example given

  • On a 5-minute timeframe, if a fair value gap appears on ENQ and ES at the same moment (e.g., “10 minutes past 10”), that timing alignment is required.

Step 2: Determine the SMT fill “variant” (how assets behave after the gap forms)

Once the gap forms, SMT fill is classified into variants depending on how assets trade relative to the gap.

Variant 1 (classic/obvious)

  • One asset trades back into its gap
  • The other asset fails to trade back into the gap at all

Interpretation (strength/weakness)

  • The asset that does fill is treated as weaker (it returns deeper into price).
  • The asset that fails to fill is treated as stronger (it holds away from the gap / doesn’t return).

Variant 2 (partial fill below 50%)

  • One asset trades below 50% of its gap
  • The other asset fails to trade below 50%

Interpretation

  • Uses the 50% midpoint of the gap as the threshold for “how far” filling occurred.

Variant 3 (complete fill vs incomplete fill)

  • One asset fills the gap completely (wick/fills the full gap to the brim)
  • The other asset fails to fill the gap completely

Note

  • The non-filling asset can trade anywhere within the gap (or even beyond 50%), but the key is it does not fully complete the fill.

How SMT fill is used via time-frame alignment (entry model structures)

The video presents two main ways to apply SMT fill:

1) Sequential SMT → SMT fill (entry model)

Look for:

  • A sequential SMT occurs first (on a cycle timeframe like quarterly/90-min/etc., depending on the example).
  • Then, on that same timeframe, a fair value gap forms.
  • Then, the SMT fill happens inside that gap.

Entry approach (described logically)

  • Enter off the SMT fill (example guidance: using the SMT low / below the gap for risk/invalidation concepts).

Key tip given

  • The first fair value gap formed after the sequential SMT is usually the highest probability gap to monitor for the fill.
  • Rationale: sequential SMT is framed as a smart-money reversal, and the gap formed afterward is expected to be respected, unless that gap-entry fails.

2) Higher timeframe SMT fill → lower timeframe SMT entry (or confirmation)

Look for:

  • SMT fill on a higher timeframe (example: 4-hour gap fill).
  • Then drop to a lower timeframe to build the entry around:
    • A lower timeframe SMT (and sometimes an additional confirmation entry model like TCISD/TTSD, as referenced).

Example structure described

  • 4H gap → find 4H SMT fill (and its variant behavior across assets)
  • Drop to 15m:
    • Look for a daily cycle SMT (as stated in the example) occurring within the higher-timeframe gap context
    • Then use a specific entry model such as TCISD (mentioned as “taught a few lectures back”) to confirm

Additional note

  • Even if an “SMT inside the gap” isn’t mandatory, the speaker says the SMT fill alone can be sufficient—and that a simple ICT-style entry can be built based on SMT fill.

Examples shown (what happens on charts)

Examples for “SMT followed by SMT fill”

  • The video uses an indicator/tool (Quarterly Theory Toolkit indicator) that marks:
    • The first fair value gap formed after SMT, with green/red distinguishing bullish vs bearish contexts.
  • The speaker repeatedly checks:
    • Whether at least two assets formed the gap at the same time
    • Whether assets filled the gap or failed to fill it

Variants observed

  • Cases where one asset wicks slightly into the gap while others do not (treated as a fill for the “variant” logic).
  • Cases where the gap forms but no asset trades back into it (then it’s not a usable SMT fill entry).

Examples for “higher timeframe SMT fill → lower timeframe entry”

  • Replay scenarios described:
    • Hourly gap example: higher timeframe assets failed to trade back into the gap until later, then lower timeframe alignment produced an entry confirmation sequence (mentions possible hidden sequential SMT, potentially appearing between candle bodies).
    • 15-minute gap example: one asset fills completely while another does not (still qualifies under their rules). After identifying the higher timeframe fill, the process drops to 1-minute and applies a lower-timeframe entry model (example: TTDS/TCISD style confirmation and inversion concepts).
      • The speaker notes entries don’t necessarily require waiting for candle close if the lower timeframe already shows bullish structure.

Practical “do/don’t” guidance mentioned

  • You don’t have to enter exactly at the bottom of the wick when the fill prints.
  • You can:
    • Enter on/within the wick area, or
    • Wait for candle close (the speaker says waiting isn’t required if lower timeframe confirms).
  • If the gap “closes below the gap”:
    • The speaker advises caution—especially if two assets behave poorly,
    • But says it’s not necessarily catastrophic if only one asset fails while the other(s) still show strength/SMT-fill behavior.

Speakers / sources featured

  • Primary speaker/instructor: The unnamed host who narrates throughout the lecture (refers to themselves as the lecturer/trainer; promotes their indicators and master class).
  • Referenced tools / sources (not separate speakers):
    • Quarterly Theory Toolkit indicator
    • Mentions of Oracle X AI trading journal
    • Mentions of 1-to-1 mentorship and Oracle X AI trading journal
    • References to a free live master class (hosted by the same instructor)
    • Mentions of earlier lectures/concepts (e.g., triads from lecture #1; TCISD/TTSD taught in prior lectures)

Original video