Video summary

ICT 2024 Mentorship \ High Resistance & Low Resistance Conditions \ October 28, 2024

Main summary

Key takeaways

Finance

Finance-focused summary (markets, strategy, risk, performance)

Core idea: identify the market condition (low vs high “resistance liquidity”)

The presenter argues that trading outcomes depend heavily on whether the day behaves like:

  • Low resistance liquidity runs

    • Fast, more “one-way” delivery toward targets
    • Fewer retracements
    • Easier stop management
    • More ability to let price move quickly to objectives
  • High resistance liquidity runs

    • Overlapping candlesticks
    • Frequent back-and-forth price action
    • More retracements / “reclaims”
    • Tighter sensitivity to stop placement
    • Higher risk of being stopped out prematurely even if direction is correct

Macro/economic calendar filter (timing rule)

The timing rule is centered on whether medium/high impact news drivers are present:

  • Monday “amateur hour” note: while Monday is called out as potentially unreliable early in the day, the real decision is based on the economic calendar.
  • If there is no medium/high impact news around:
    • 8:30 ET
    • 9:30–10:30 ET
    • then the instructor favors pre-market trading (7:00–9:30 ET) rather than relying on the regular open.
  • If there is medium/high impact news:
    • price behavior is expected to be more complex (more “manipulation/smoke screen” effects)
    • low-resistance-type behavior is less likely, and overlapping/complex action is more likely

Specific day-trading instrument/market referenced

  • NASDAQ, typically on a 1-minute chart
  • Mentions 15-second / 30-second references as well
  • Refers to a “December contract” (ticker not explicitly provided; NASDAQ futures context implied)

Main trading framework: gap clustering → draw on liquidity → targets (time-based)

Instruments/levels referenced

The approach focuses on opening gaps and where price is likely to “draw” (reprice) to:

  • New week opening gaps
    • Used in terms of “high” and “low,” plus midpoint/consequent encroachment
  • New day opening gaps
    • Used similarly
  • Clustered levels
    • When multiple consecutive gaps overlap, increasing the probability of draw/interaction
  • Additional concepts mentioned:
    • Fair value gaps (FVGs)
    • Displacement / inefficiency (e.g., “displacement leg” and “imbalance”-style language)

Key probability claim

  • “70%” likelihood that half of the opening gap (the midpoint / “half Gap”) is filled in the first 30 minutes.
  • Even if it doesn’t happen immediately, similar behavior may appear later—but the day can still be treated as high resistance if action is overlapping/complex.

Step-by-step approach (checklist)

  1. Check the economic calendar

    • On a Monday, if there is no medium/high impact driver around 8:30 ET and 9:30–10:30 ET, prefer pre-market (7:00–9:30 ET).
  2. Map “draw on liquidity” levels

    • Identify clusterings of:
      • New week opening gap highs/lows
      • New day opening gap highs/lows
    • For shorts, the emphasis is often on the first “low hanging fruit” objective, typically:
      • New week opening gap high (not deeper into later gap structure)
  3. Trade direction (bias)

    • Bias comes from price action relative to the clustered gap levels and expected draw.
    • Example described: if the market opens with a large gap higher, bias may shift to expecting a draw down into the gap area.
  4. Entry trigger using inefficiency / FVG

    • Look for displacement and an FVG on lower timeframes (15s/1m).
    • Entry may require more conservative logic during high-resistance conditions.
  5. Trade management

    • High resistance liquidity
      • Avoid “trailing stop” approaches; overlap implies easy stop-outs
      • Stops should be tied to specific FVG candle structure
      • Lecturer discusses using candle highs and “+1 tick” style logic
    • Low resistance liquidity
      • Price may be allowed to run more freely
      • Stop management can differ, and partials may be used

Risk management recommendations (explicit cautions)

Leverage reduction

  • Reducing leverage is repeatedly emphasized.
  • Avoid the highest leverage during high-resistance conditions.

Stop-loss discipline

  • In high-resistance environments, stop adjustments can be fatal because overlap and reclaims can hit stops easily.

Partial exits / covering costs

  • In favorable conditions, the lecturer emphasizes:
    • covering costs quickly
    • taking partials
    • not demanding perfection
    • recognizing that being right on direction doesn’t always prevent stop-outs in high-resistance conditions

Avoid outcome-guessing

If you catch yourself thinking “I know if I do X it will happen,” you’re effectively guessing and disconnecting from the model. Stop trading real money in that state (return to demo / reassess).


Performance framing / targets (numbers)

  • “Low hanging fruit” objectives for newer traders are emphasized:
    • Example “starter” goal frequently framed as $100–$200 to $250
    • $250 profit is used as a common realistic example
  • Mentions the possibility of larger NASDAQ day targets (e.g., 10 handles) as a style benchmark, but the explicit starter dollar target remains $100–$200 to $250.
  • Example cited:
    • Matt Miller (“Trades by Matt”): described as taking over $300,000 from prop firm payouts using a simplified model (no tickers provided)
  • Also referenced:
    • a student achieving almost $2 million (no added details)

Disclosures / disclaimers

  • No explicit “not financial advice” text appears in the provided subtitles.
  • However, the lecturer frames the material as educational/mentorship and warns against trading real money without a proper model.

Tickers / instruments explicitly mentioned

  • NASDAQ (treated in context as NASDAQ futures, including “December contract” language)
  • Bitcoin is mentioned in a social-media discussion, but no trading setup or pricing details are provided

Presenter / sources

  • Presenter: “ICT” / “Jonathan” (spoken as “ICT mentorship”; also addressed to “Caleb” as the son/student)
  • Referenced community member: Matt Miller (“Trades by Matt”)
  • No other named market analysts/institutions are clearly identified in the subtitles.

Original video