“ICT Mastermind” Trader Roundup conversation led by Kitt with ICT (Michael J. Huddleston) and multiple speakers. They discuss tapping into intuition, mentorship and mastermind community support, and applying ICT trading models (notably the 2022 model, SMT, CISD, liquidity runs, and wick/gradient concepts including a “John Wick” example).

Several participants share personal journeys: Manos describes years of losses, demo focus, and recent progress; others describe using premarket mapping and liquidity concepts.

The group shifts heavily into health, fasting, carnivore/ketogenic diets, autophagy, insulin resistance, and chronic disease, with Michael describing prediabetic symptoms, dietary changes, and quality-of-life improvements. They emphasize journaling, discipline, avoiding emotional toxicity while trading, balanced living, and risk management, including one trader doubling a small account and extracting the initial deposit.

1. According to ICT, what is the real reason markets move?
a) Economic news releases
b) Random retail trading activity
c) Delivery of price to rebalance inefficiencies
d) Government intervention

Answer: c) Delivery of price to rebalance inefficiencies

Evidence: “The market is delivered algorithmically to rebalance price delivery inefficiencies.”

2. What does ICT say traders must understand before trying to make money?
a) Complex indicators
b) Broker spreads
c) How price is delivered
d) High-frequency trading software

Answer: c) How price is delivered

Evidence: “You have to understand how price is delivered before you can even think about trying to make money from it.”

3. According to ICT, what is the purpose of consolidation in the market?
a) To create random volatility
b) To accumulate or distribute positions
c) To confuse retail traders
d) To follow economic news cycles

Answer: b) To accumulate or distribute positions

Evidence: “Consolidation is accumulation or distribution. It’s not random.”

4. What does ICT say about liquidity?
a) It is irrelevant to price movement
b) It is created by retail traders
c) It is a byproduct of volatility
d) It is engineered and sought by price

Answer: d) It is engineered and sought by price

Evidence: “Liquidity is engineered. Price seeks liquidity.”

5. According to ICT, what is required to become consistently profitable?
a) A large starting account
b) Patience and discipline
c) Copying institutional trades
d) Trading every market session

Answer: b) Patience and discipline

Evidence: “You have to be patient. You have to be disciplined.”

In a livestream discussion, Michael (ICT) and participants discuss growing confidence in his mentorship series, especially using lower timeframes to see market structure. A trader asks about market maker buy/sell model phases in high-resistance “barcoding” conditions; Michael explains these models belong to low-resistance liquidity runs, advising either dropping to sub‑minute charts where smaller-degree models appear or not trading/ranging markets.

They cover managing Opening Range Gap (ORG) levels, with Michael recommending beginners keep only the last three days, but also keep the last two Mondays and two Fridays because their ORGs often act as liquidity magnets; he notes sweet-spot ORG sizes and that gradient levels apply to any inefficiency/wick.

Michael advises novices to focus on one mechanical model to measure progress and build experience before broad discretion. He answers questions on V-shaped reversals using inversion/fair value gaps and cautions that detailed technical questions should be sent with charts on X.

A trader shares that prop funding harmed psychology and encouraged shortcuts, emphasizing patience and process.

Quiz (click to reveal)

1. Market Maker Buy/Sell Models primarily occur during:
A) High resistance liquidity conditions
B) News events only
C) Low resistance liquidity run conditions
D) Consolidation after macro time

C

2. If price is in a high resistance “barcode” condition on a 5m or 15m chart, what is recommended?
A) Force trades using the same model
B) Drop to lower timeframes
C) Add more indicators
D) Only trade breakouts

B

3. In high resistance conditions, ICT suggests you should:
A) Always look for accumulation & distribution phases
B) Trade aggressively
C) Either drop to very low timeframes, sit on your hands, or trade another market
D) Only use macro time

C

4. A true Market Maker model includes which of the following components? (Select all that apply)
☐ Accumulation
☐ Two distribution stages
☐ Smart money reversal
☐ Low-risk sell
☐ Random breakout

☑ Accumulation

☑ Two distribution stages

☑ Smart money reversal

☑ Low-risk sell

⛔ Random breakout

5. Opening Range Gaps have approximately what probability of trading to half-gap?
A) 50%
B) 60%
C) 70%
D) 90%

C

6. What is considered the “sweet spot” handle range for trading the opening range?
A) 20–30 handles
B) 40 handles
C) 70–100 handles
D) 150+ handles

C

ICT Mastermind “Trader Roundup” live discussion hosted by Kit with ICT (Michael Huddleston) and multiple participants reacting to a new mentorship lecture centered on defining “key levels” and how time and price align through a PD Array “matrix/grid.” Traders share personal takeaways: being patient, avoiding rushing entries, managing leverage and stops, and waiting for price to trade to PD arrays that overlap key levels (rather than trading breakout/retest).

Michael explains that key levels and gaps are repeating, specific phenomena that create a grid for anticipating liquidity draws across sessions, emphasizing anticipating instead of reacting. He lists and discusses key levels such as new week opening gaps, new day opening gaps, RTH/opening range gaps (with gradient levels and consequent encroachment), and highlights how overlapping PD arrays (fair value gaps, order blocks, inefficiencies) at these levels improve precision; he contrasts this with generic “opening range breakout” approaches.

Participants discuss inside-day definitions using candle bodies, SMT divergence being higher probability around liquidity runs and volatility injections (often around 9:30), and using midpoints/consequent encroachment to assess high-resistance conditions.

Michael answers specific questions including: keeping a rolling five days of prior ranges/levels on charts; daily chart behavior around a noted wick and a fair value gap; how to prioritize PD arrays (wick takes precedence over imbalance; fair value gaps/imbalances are more salient than volume imbalance); order block marking rules (body is key for the initial/inception order block that shifts delivery; subsequent order blocks can be traded using wick ranges/consequent encroachment); and that body-based inside days function similarly to classic inside days as a volatility precursor.

Several speakers share personal stories (e.g., a 66-year-old beginner trading the 9:50–10:10 macro with micros, a 23-year-old Nigerian student balancing engineering finals, and others trading 2024 mentorship models), while the session also notes technical audio issues on X and ends with plans for another space on Thursday.

In a live Trader Roundup discussion, Michael explains that traders should start with one micro contract to minimize leverage, desensitize themselves to losses, and remove urgency around needing the first trade to win. He recommends deliberately taking an initial micro trade (even by flipping a coin) with a defined stop to experience that “baptism of fire,” then reflecting on emotions, accountability pressures (often toward spouses or others), and adopting the mindset of running one’s trading like a business (CEO/CFO/HR), focusing on risk control and process over outcomes. He compares small trading losses to everyday spending and emphasizes that controlling drawdown prevents account “hemorrhaging” and builds confidence.

Multiple traders share experiences: Joe (22, Morocco) trades the opening range gap and first-presented fair value gaps (targeting 50%) with a claimed ~70% win rate but struggles with emotional control when seeing red P/L; a participant suggests hiding P/L on TradingView, and Joe says trading micros helped him stop rushing payouts and improved consistency. Alex (26) describes using first presentations, quadrants, inversions, and “footholds,” and says sizing down to micros helped him get funded after struggling and seeing others’ fast payouts. Zazu (19, Tunisia) recounts severe anxiety with prop firm pressure, blowing an account quickly, then reducing size, detaching from outcomes, using isolation, self-talk, walks/runs, and listening to ICT spaces to manage emotions; he expresses gratitude for ICT’s impact on his life.

Other speakers reinforce themes: a trader from the Dominican Republic describes repeatedly blowing prop accounts with minis and improving by simplifying, detaching from money, discipline, gym activity, and faith; an Armenian-American from Los Angeles discusses journaling, backtesting, using market maker model context, first presentations, and grading wicks/imbalances; he asks about first presentations older than five days, and Michael explains the “5” lookback is to avoid clutter, but older first presentations can matter when aligned with session context and higher-timeframe dealing ranges and draw-on-liquidity logic. John asks why setups didn’t form cleanly this week; Michael cites a weekly doji near the weekly open, OPEX/theta burn, rangebound conditions, and reduced follow-through, advising fewer trades and waiting for higher-probability setups. He answers a question on the price delivery continuum as top-down alignment across timeframes using PD arrays. Papi Trades (33, in Paris) shares needing to return to work after prop firm struggles and asks about balancing work and trading; Michael advises building cash reserves (2–3 years), avoiding undercapitalization, and not rushing full-time trading. Another participant asks about “opposite” first presentations; Michael says he has not fully disclosed it and will cover it later.

Austin (38, South Carolina) shares a three-year journey and asks about aligning monthly/weekly/daily timing for larger expansions; Michael says such alignment exists but depends on market conditions, noting current unprecedented compression and advising trading within ranges rather than demanding highs/lows. Chartist asks about volume imbalances; Michael frames them as common gaps/inefficiencies often revisited and discusses time-based delivery behavior consistent with AMD. Dom asks how displacement relates to buying/selling pressure; Michael says displacement is a signal of algorithmic delivery and institutional participation rather than simple auction pressure.

Near the end, Michael rejects risking 20% of an account and addresses “six-figure months,” recommending building consistency by trading one micro for weeks (e.g., aiming for ~5% weekly), compounding over time, and warning that many claims of huge monthly income are exaggerated. He emphasizes discipline, repetition, and following a consistent model, and notes fundamentals are more useful as higher-timeframe context while intraday trading remains focused on inefficiencies and PD arrays. The session ends as Michael leaves for family time

In a live trading community conversation, a participant asks where the market-controlling “algorithm” is hosted (CME/NY4/NSA involvement). Michael (ICT) responds that no one can prove or tour a central location, says he personally doesn’t believe it’s in the United States, and argues the best “evidence” is repeated precision in price behavior at specific levels and times. He insists the algorithm is based on open/high/low/close, dismissing range bars, tick charts, Renko, and similar chart types, and says markets must be controlled to prevent collective speculation from destabilizing critical markets like treasuries.

The discussion touches on silver’s recent volatility as an example of the algorithm “turning up the dial” where attention is highest, and mentions possible future shifts in volatility depending on metals contract expirations and geopolitical events such as a war with Iran affecting energy prices. A participant speculates Switzerland; ICT says that would be “close,” references major settlement institutions, and notes Switzerland as a place where “high seats” are.

The conversation then shifts to community trade recap and mentorship topics: members discuss hitting bearish and bullish targets, unmitigated settlement prices, and ICT concepts across timeframes (including five-second and fifteen-second charts), with emphasis on higher-timeframe context like the weekly open and a weekly doji/compression on a Friday news/opex day.

Another speaker praises ICT’s earlier remarks about prop firms, arguing many traders become dependent on prop rules and affiliate marketing, and warns firms can change rules and deny payouts. ICT reiterates that traders should invest in themselves using free material, avoid chasing shiny promises from props/gurus/courses, backtest simple ideas like time-of-day highs/lows, and focus on understanding the repeating logic behind his PD arrays rather than seeking gimmicks or social-media validation.

He describes teaching as a legacy for his children, references trading with his son Cameron observing levels being hit in real time, and frames the community space as a supportive forum where traders share struggles and learn paths toward consistency.