How to identify high probability trading conditions (stop getting manipulated)

Finance-focused summary (trading “high probability” vs avoiding bad conditions)

The presenter emphasizes technical/day-trading probability: even correct setups can fail due to uncertainty. To manage this, traders must use stop-losses and avoid trading on days/conditions with unfavorable market structure.

A core theme is identifying “what days not to trade” using specific intraday concepts and timing filters—because “manipulation” or volatile price action can invalidate entries.

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Instruments / markets mentioned

• NQ (Nasdaq 100 futures) — described as “easy to read,” but still difficult to enter.
• Mentions a prop firm-style account/dashboard context.
• No other explicit tickers or ETFs are named beyond NQ.

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Key intraday concepts and framework

Fair value gaps (FVGs)

• Fair value gaps (FVGs) are used as part of structure.
• An “inverse fair value gap” is discussed mainly for structure, not as a direct trade trigger.

New week opening gaps

• The new week opening gap is described as a strong liquidity draw:
  • “Very, very strong draws on liquidity.”
• A key reference level is the 50% midpoint of the new week opening gap.
  • The presenter notes it “gets tapped” (to a specific tick level) and then price can “shoot off.”
• Frequency claim:
  • The new week opening gap gets completely filled about 90% of the time (not always within the same week).

10 a.m. key open

• 10:00 a.m. is repeatedly used as a primary time-based level.
• The speaker also emphasizes the first 5–15 minutes after 10:00 a.m., as behavior there helps determine setup quality.

Order blocks / equilibrium

• Example setups reference:
  • A 5-minute order block in equilibrium around the 10 a.m. key open.

Workflow: drawn liquidity → structure → precise entries

The sequence the speaker follows is:

1. Identify drawn liquidity
2. Identify structure
3. Then get to precise entries

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Methodology / step-by-step criteria

Build trade context

• Mark key levels, especially the 10 a.m. key open.
• Locate fair value gaps and treat inverse FVGs as structure rather than direct triggers.
• Identify new week opening gaps, particularly the 50% midpoint as a major area of interest.

Decide whether conditions are tradable

• If price action shows behavior like:
  • FVG “disrespected → re-respected → regained” and becomes “weird,”
• the recommendation is to stop trying to force trades (e.g., “close the laptop”).

Execution / entry discipline

Prefer entries where:

• Price rejects relevant levels (e.g., an FVG) and forms an order rejection / rejection block that provides a trigger.

Avoid trades when:

• The only “setup” condition exists but
• entry timing triggers are missing—especially during volatile conditions.

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Risk management and explicit cautions

Stop-loss sizing risk

The presenter warns that 10–15–20 point stops may not behave as expected in volatility:

• Stops can be “ran through” quickly.
• Price can move roughly 15 points into drawdown and still count as a top tick (noise likely).

Practical takeaway: use entry triggers (rejection blocks) rather than entering solely on bias.

Probability framing

• “We deal with probabilities. We don’t deal with certainties.”
• Stop-losses are why a high-probability idea remains tradable.

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Key numbers and performance metrics (from dashboard)

Approximate metrics mentioned:

• Win rate: “60ish%” (also referenced as 60–65%)
  • Win rate is skewed because break-even trades are counted as losses (fees).
• Average win: 6.60 (units not specified; likely platform points or dollars)
• Average loss: 9.5
• Profit factor: 5.88
• Risk/Reward: “average of 1 to 7 RR”
• Streak / recency:
  • Mentions “six winning trades in a row” / “six winning days in a row”
  • Aiming for a “fifth winning day”
• Payout examples:
  • “On Friday, I took $3,000 payouts across the accounts.”
  • “Today, I just took a $100 trade … to get the fifth winning day and then taking another payout.”
• Non-guarantee disclaimer (implicit):
  • Rejects “holy grail 100% win rate” thinking and emphasizes randomness.

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Timing filters: “days not to trade”

The speaker gives practical avoidance periods:

• “No news Mondays” (generally don’t trade those)
• London session before major US data, specifically around:
  • CPI, PPI, NFP
• Day before NFP:
  • “Sometimes don’t trade that.”
• Avoid New York session if prior sessions already ran hard:
  • If London or Asia expands “like crazy,” especially around 600 points,
  • expect NY to be mostly accumulation, making the opportunity setup less attractive.

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Market behavior / “manipulation” caution (why setups fail)

Even when structure seems aligned, trades can fail if the market is behaving in a confusing or engineered way.

Examples include:

• Manipulation around 10 a.m. that becomes “wonky,” with multiple up/down swings that make clean entries unlikely.
• Trades may fail if:
  • New week opening gap dynamics differ from the idealized path, or
  • the entry trigger is not generated cleanly.

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Disclosures / disclaimers

• No explicit “financial advice” disclaimer appears in the provided subtitles.
• The speaker explicitly stresses:
  • No guarantees (outcomes are probabilistic)
  • Price action is partly random
  • There is no secret algorithm / holy grail for 100% results

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Presenters / sources

• Presenter: No name provided in the text.
• Source references: Mentions Discord community and teaching outcomes, but no external publication or institution is cited.