Summary:

– Shift to public teaching: ICT (Michael Huddleston) confirmed he stopped paid/private mentorships and moved all core content (lessons 1–12) to YouTube and Twitter so everyone can access it for free. He’ll continue teaching publicly rather than via paid groups.

– 2023 intent: He calls 2023 his “victory lap” — the last year he’ll pour himself into mentoring at a high pace. He will slow down afterward for family and health reasons but will still make content and mentor publicly on YouTube/Twitter (live streams starting Feb 7).

– What he’ll teach: Real-time, top-down market analysis focused on algorithmic smart‑money behavior: fair value gaps, liquidity pools, order-flow signatures, time-of-day macros, and how/when gaps stay open. He promises live, minute-by-minute walkthroughs and repeatable proof of concept.

– Practical, disciplined model: He emphasizes a minimalist, repeatable approach (top-down: weekly → daily → 4H → 60m → 15m → 5m/1m). Aim for realistic targets (e.g., “five-handle” moves in ES) and strong risk management rather than chasing flashy indicators or extreme strike rates.

– Trading routine and timing: Key trading windows are the morning session (~08:30–10:30 ET) and the last hour (approx. 15:40–16:00 ET). If you don’t find a setup in the morning, don’t chase — wait for the afternoon. Extend levels through the day and trade internal-range liquidity on inside days.

– Asset-class guidance: Futures (ES, NASDAQ / ES, bonds) are his preferred, most precise markets. Forex are less precise and prone to broker/server differences — one‑pip/one‑tick stop models are unrealistic in FX with real size.

– Student responsibilities: Success requires chart time, journaling, backtesting, patience, and owning personal weaknesses. He will not hold hands or sell ongoing subscriptions; students must do the work to become independent traders.

– Warnings: Beware of gurus, cherry-picked screenshots, fake backtests and MT4/MT5 manipulation, signal-sellers, and social-media hype. Avoid trading ahead of CPI/FOMC and other violent manual interventions. Don’t trade impulsively from live streams.

– Psychology & character: Mastering yourself is central — trading amplifies existing personal flaws. Keep journal entries constructive, avoid public venting that anchors negative emotion, and build discipline to stop trading when your plan is met.

– Proof & challenge: He insists his public analyses (tweets/videos) are verifiable in real time (cites a recent example calling 3864) and invites skeptics to reproduce similar public, timestamped analysis. He says the method is teachable and transferable.

– Personal notes: He shared personal stories (past mistakes, growth), family priorities, travel plans (RV/mobile command center), and a desire to help students succeed. He’s motivated by seeing students make money and wants people to use the skills to build multiple income streams, help others, and live purposefully.

Bottom line: ICT will provide free, public, hands-on mentorship in 2023 focused on algorithmic price structure, disciplined execution, and real-time demonstrations — but students must do the hard work, show up, and become independently responsible traders.

Summary:

ICT outlines his teaching and content plan for 2023 and delivers strong guidance about how to learn to trade properly.

Main plans and format
– Daily short public market reviews on YouTube (Mon–Fri): concise pre/post-market notes explaining setups and next-day expectations.
– Two planned live tape‑reading sessions per week (morning, ~90–120 minutes): real-time chart annotation, commentary, and prompts to take screenshots. These will be observational—he will not place trades live to avoid front-running accusations or encouraging viewers to trade impulsively. Pre‑market analysis will be shared the night before. Sessions resume Feb 7, 2023.
– Focus markets: e‑mini S&P and e‑mini NASDAQ (he will comment on Forex but is no longer trading FX actively). Content is free; the “price” is the time and effort the student invests.

Teaching philosophy and goals
– Emphasis on mentorship, tape‑reading, and building experience. The objective is to make students independent: by the end of the year you should be able to read price, find the right market, and trade without relying on him.
– Quality over quantity: look for one high‑probability setup per week rather than overtrading. Beginners should not pursue daily high‑frequency trading—expect 1.5–2 years of development before attempting that.
– Use the economic calendar to frame opportunities; avoid trading ahead of major releases like CPI/FOMC (too one‑sided and dangerous).
– Core concepts to focus on: liquidity runs, fair value gaps, order blocks/breakers, market structure shifts, and multi-factor confluence—trade only when there is statistical/probabilistic support.
– Strong emphasis on risk management, discipline, and psychological control. Avoid impulsive “button‑pushing,” chasing funded‑account leaderboards, or copying social‑media hype. Small consistent gains (e.g., one contract, modest weekly handles) are preferable to risky overleveraging.

Behavioral warnings and industry critique
– He criticizes short‑cut courses, showmanship, and influencers who prioritize performance theater over transparency. He encourages recording full trade activity, honest live streams, and independent study rather than chasing fame.
– Personal anecdotes underline the cost of impatience, social‑media influence, and past mistakes; he urges humility, persistence, and realistic expectations.

Longer‑term plan
– 2023 will be his last major instructional year before scaling back in 2024. He plans to publish four books (three instructional, one fiction) and then reduce public content to focus on family and personal life.

Bottom line: commit time to tape‑reading, prioritize one strong setup per week, master risk and discipline, and use his live sessions to learn—not to copy trades.

Summary — key points and actionable takeaways from ICT’s talk

Big picture
– Winning in trading is a long, personal process. There are no shortcuts: know yourself, identify your weaknesses, and remove or manage them so they don’t wreck your decisions.
– Consistency beats flashy one-off wins. The mentor’s objective is to teach you a repeatable process so you become independent, not dependent on someone else’s calls.

Self-knowledge & psychology
– Traders must honestly assess personal frailties (impulsiveness, substance use, codependency, anxiety). These show up in trading (bailing early, re‑entering impulsively, overleveraging).
– Don’t broadcast failures on social media. Keep a private, positive trading journal—your best learning resource and encouragement.
– Treat losses as “taxes” of the business; don’t let them create emotional spiral or impulsive “fix-it” trades.

Process & skill development
– The path: backtest (min. 3 months, ideally 6) → tape‑reading (watch live price without trading) → demo trading (min. 3 months; 6 months preferred) → consider live. Rushing to live trading causes failure.
– Tape‑reading and logging screenshots/annotations of what you think is happening trains your narrative and improves pattern recognition.
– Journal entries should be constructive: document what you saw, why you traded (or didn’t), and what happened.

Market structure, narrative and bias
– Market structure + seasonality + narrative determine high‑probability bias.
– Seasonality: spring tends to form a high and bias lower into summer; fall tends to form lows and bias higher into year‑end (Santa Claus rally window ~ mid‑Sept to mid‑Nov).
– Detect quarterly shifts by divergence between the big averages (SPX, NASDAQ, Dow). Once one average fails to make a high/low, look for structure shifts on H4/1H and trade with that bias.
– Narrative = how liquidity/order flow will be delivered (algorithms, manual interventions). Bias = directional expectation. Know both before taking entries.
– After big news (NFP, CPI, FOMC) expect one‑sided, whip‑saw moves that sweep liquidity both sides. Wait for the volatility to settle, then trade inefficiencies (imbalances, fair value gaps, order blocks).

Tactics & entries
– Use smart‑money concepts: fair value gaps, order blocks, liquidity draws, stop runs—identify where algorithmic repricing will invite retail participation.
– Pyramid entries are individual, repeatable entries; manage stops to reduce risk as price moves in your favor (not increasing risk). Partials are practical: take money off the table.
– Low‑hanging fruit approach: target small objective per trade/session (examples: 3–6 handles per session in E‑mini S&P; 10 handles as a simple target is a reliable “enough”). For FX, think in pips (e.g., ~20–30 pip intraday thresholds).

Risk & money management
– Stop losses are mandatory. Trading without stops is a path to ruin.
– Personalize risk per trade; industry “two percent” rules aren’t one‑size fits all. Many traders do better with far smaller per‑trade risks (e.g., 0.5%).
– When using funded accounts or large implied buying power, only use ~30% of that equity as your working capital (so you don’t overleverage the platform’s nominal balance).
– Money management and compounding beat reckless leverage. Small consistent gains compound into large returns; preserving capital is the top rule.

Competition (Robins/FTMO) advice
– Competitions reward discipline, not YOLO leverage. Use industry margins and stop losses—don’t rely on inflated offshore margins.
– Strategy: pick a simple, repeatable daily/sessional target (e.g., small fixed handles/pips), hit it, stop for the day. Let money management compound results.
– Example math: aiming for ~11–12.5% per week via steady, repeatable small gains is far more achievable and sustainable than chasing massive one‑offs.

Practical reminders & warnings
– Prefer index futures for cleaner, more predictable action (ES/NQ). Be careful with FX and crypto—structural risks (CBDC, pegging) and extreme, sudden volatility make them riskier.
– Avoid system‑hopping and trying to mix every teacher’s ideas; pick a model/cookie‑cutter and apply it consistently until proven in your journal/demo.
– Trading can have severe personal consequences. If you have debilitating emotional responses to money lost or gained, address that before trading live.

Concrete action checklist
1. Do 3–6 months of backtesting; then 3–6 months tape‑reading/demo trading.
2. Keep a private, positive, detailed trading journal (screenshots + quick narrative).
3. Identify personal weaknesses (impulsivity, substances, emotional triggers) and mitigate them.
4. Learn market‑structure + seasonality (watch SPX/NQ/DOW divergences) to form bias.
5. Use fair value gaps/order blocks/imbalances for entries; always use stop losses.
6. Personalize risk; consider trading against only 30% of funded buying power.
7. Target small, repeatable objectives (low‑hanging fruit) and let compounding/money management do the rest.

End note
– The speaker emphasizes discipline, humility, and sustained effort. If you commit to the process—backtesting, journaling, tape‑reading and conservative risk management—you can achieve consistent results.

Summary — key points from the ICT

– Morning routine (practical): hydrate (20 oz water), eat a half banana for potassium, stretch. Then review your market prep (economic calendar, weekly analysis) and have a pen/pad for notes.

– Pre-session checklist: always consult an economic calendar (filter medium/high-impact events and relevant pairs/instruments). Revisit your prior (weekend) weekly analysis to see if anything changed while you were away.

– Weekly-bias framework: pick a weekly bias on the weekend by asking whether the coming weekly candle’s largest expansion is likely up or down (not predicting the weekly close). That bias becomes your primary “buy model” or “sell model” for intraday sizing and trade selection.

– Institutional flow and liquidity: markets are driven by large, slow institutional flows. Trade setups are often the result of engineered moves (opposite, short-term drops or spikes during news) that draw retail liquidity — these are the opportunities to trade into (e.g., runs for sell-side liquidity when you want to go long).

– Entry concepts: look for runs into: (a) lows that draw liquidity, or (b) fair value gaps / imbalances (SIBI/CBI concepts). Use intraday timeframes (15m as a bellwether, down to 1m for execution examples) but always frame trades within the weekly/daily context.

– Position sizing & leverage rules: use maximum leverage for trades that align with your weekly bias. If you trade against the weekly bias, reduce size to ~50% (or less). Build positions in the direction of institutional flow; avoid large leverage on counter-bias trades.

Trade-management rules (practical discipline):
– Use stop losses (you can’t know outcomes).
– Two-trade morning rule: if you lose two specified trades (first larger, second ≤50% size), stop trading for the day (or PM session). After a losing day, reduce risk on next trading day (e.g., trade 2 contracts if prior losses were 10 & 5 until you recover a set percentage).
– Take partials, leave a small runner to target liquidity; don’t overstay positions or turn intraday guesses into long swing exposures.

– Loss & drawdown mindset: losing trades are inevitable; manage how you lose, log every trade, and rebuild systematically. Backtesting, journaling and repetitive practice create “pseudo-experience” and pattern recognition.

– Market choice & study advice: concepts transfer across asset classes (Forex, indices, commodities), but for real-time examples study US index futures (ES/NQ) since data and examples are easy to observe. Forex can be highly manipulated and less consistent; trade what fits your location, regulation and comfort.

– Career / lifestyle advice: don’t quit your job until you have consistent profitability for ~2 years, two years of living expenses saved, and recommended minimum trading equity (~$100k). Avoid trying to hurry success for social media or funded-account fame.

– Teaching philosophy: develop your own adapted model — don’t blindly copy. Specialize in one (or two) markets and timeframes that suit your personality. Embrace the discipline of backtesting and journaling; patience and repetition are required.

– Current environment & final cautions: markets have become tougher and more event-driven recently; expect choppiness and false moves. Be conservative, stick to rules, and avoid chasing hype or “get-rich-quick” bootcamp promises.

Summary — How to study ICT (Michael J. Huddleston)

– Start with a clear mission statement and a study journal. Write why you’re studying, which market/instrument and time frame you’ll specialize in, and record questions, trades, wins and losses.

– Follow a defined study order — begin with the 2022 mentorship (one video per day), then the core content, then the Market Maker Primer. Don’t cherry‑pick videos from algorithms or social media.

– Build a single, simple trading model (the 2022 model is the recommended baseline). Apply a limited set of tools (fair value gaps, breakers, order‑flow entry drills, turtle‑style ideas) rather than forcing every tool on every trade.

– Practice in demo/paper first. Only you decide when to go live — start tiny, low leverage, and expect psychological changes when real money is involved (flip a coin for your first tiny live trade if needed to get past fear).

– Accept that losses happen. Log mistakes honestly, learn from them, and avoid selective sharing of wins on social media. Consistency and boring discipline beat flashy, risky behavior.

– Manage risk and position sizing carefully: excellent charting without risk control can still blow your account.

– Mindset and personal life matter. Resolve personal issues, control impatience and emotional motivations (wanting to prove people wrong, escape pain, or chase instant results) — these commonly sabotage traders.

– Be patient and diligent: disciplined daily chart study (review ranges, weekly/daily context) and sustained practice — often months to a year — are required to become consistently profitable.

– Final note: ICT emphasizes practical, no‑nonsense teaching, wants students to succeed, and will be offline until February 7, 2023.

Summary — ICT closing thoughts (end of 2022) and outlook for 2023

– Purpose & tone: A final, blunt “closing thoughts” talk to the community — grateful for growth, proud of students, sharing lessons learned and plans for 2023.

– Family & community notes: Personal anecdotes about his children (pride in his son Caleb, concern about his daughter’s choices). Praises community camaraderie but warns against negativity and gatekeeping.

– Teaching model & access: Announces private mentorship/community will be shut down and content made 100% public in 2023 — no more exclusive paid mentorships. He regrets past content being copied/monetized, but stands by freely sharing his methods.

– Trading philosophy & practical rules:
– Go slow: don’t chase fast big returns or try to impress; steady, modest monthly returns and consistent risk control beat flash run-ups.
– Risk & position management: use minimal leverage, control trading frequency, don’t pyramid into losing directions, favor trades that align with daily/weekly range expansion.
– Focus on process: study market structure, backtest, journal emotional responses (fear/greed), and spend substantial time (recommend ~1–2 years) learning before expecting consistent profits.
– Competitions cautioned: leaderboard success is often short-lived; avoid getting “drunk” on beating others.

– Behavior & mindset: Overcome impatience, accept responsibility for mistakes, stop being a perpetual student, and be realistic about expectations.

– 2023 plans: Live YouTube sessions (brief, event-driven, twice weekly at most), market-over-the-shoulder quizzes, demonstrations of market-maker behavior, and some new tools/demos he’ll reveal (not all will be taught in full detail). Encourages rest over the holidays and returning ready to work in February.