Video Summary - 8 Romeo s Video Price

Main ideas / concepts taught

1) Course structure and topics (4-session arc)

The speaker frames the session as learning a “foundation of how to think” before moving to later mechanics/entries.

Four main topics:

Foundation: how to view price & markets (not direct “price-making” tips)
- To “read price,” you must view markets in the speaker’s specific way.
Smart money vs dumb money (reframed)
- The concept is presented as older than ICT/ICT-Twitter.
- Explained primarily through highs/lows and predator/prey logic (liquidity targeting).
Market profiles & “ranges”
- Trending vs ranging/choppy markets.
Entry techniques
- “Meat” of the training, but only after movement logic is understood.

Class logistics:

Each class is roughly 45 min to 1.5 hr, while the video runs longer due to “fuel.”
Questions are encouraged only if they’re “interesting questions” (not random/surface questions).

2) Disclaimers and learning protocol

Key disclaimers:

Not a financial adviser.
Not promising profits; analysis vs execution are treated as different worlds.

Learning rules:

You get as much as you work for
- No “holy grail” is guaranteed without testing the ideas yourself.
Learning is done offline (not via social media scrolling)
- Backtest/hindsight first, then observe/tape-read live while journaling.
- “Random turtle soup” style messages are discouraged as a primary learning method.
Respect protocol
- Respect is mandatory; disrespect can result in immediate removal/kick.
Access/eligibility
- Mentions people who joined via forged/pirated documents; implies they may be removed.

3) Audience classification (mindset & motivation)

The speaker divides people into categories based on money + motivation + intent:

Rich (fun)
- Here for entertainment/fad (e.g., turtle soup hype), not real learning → expected to fail.
Rich (hungry/curious)
- Motivated to learn because they have resources; they study properly.
Poor (hoping for “holy grail”)
- Temporary motivation; may trade with limited funds/pressure → expected to fail.
Poor (disciplined/hardworking)
- Not trading last money; puts in work → more likely to succeed.

Core advice:

Know which category you’re in and adjust mindset.
Trading while broke or using borrowed funds is described as forcing outcomes and creating unhealthy pressure.

4) “Foundation” lessons: markets, losses, and trader psychology

What are “markets”?

A place where buyers and sellers exchange.
A mechanism that transfers money from uninformed participants toward those with an edge.

Why do people stay if “95% lose”?

Random win streaks create euphoria/dopamine.
Losses can drive gambling/behavior loops.
Social media survivorship bias makes losers believe others are winning consistently.
No one loses every trade; winning streaks distort perception.

“8-trade losing streak” concept

Traders will experience multiple consecutive losses (speaker references a known stat from ICT).
Purpose: grounding, not fear—execute with discipline.

5) The “core foundation” model (3–4 pillars)

What are the markets?
- Exchange / orderflow competition (explained later through highs/lows/liquidity).
8-trade losing streak reality
- Builds emotional discipline.
Technical edge vs risk/reward
- Risk management matters more than technical edge.
- Examples:
  - A coin-flip system can be profitable if rules and risk/reward are correct.
  - A high win rate can still fail if payoff structure is wrong.
Journaling
- Journal to eliminate mistakes and correct repeats (compared to medical record-keeping).
- Each entry should include:
  - what was expected (thesis)
  - where/how it played out (entry/price behavior)
  - how it could be improved (execution errors)
- Emphasis: charts are “perfect”; mistakes are operator mistakes.

6) Market profiles and “types of market states”

The speaker claims markets fall into a small number of profiles:

Trending markets
- Characterized by repeatedly breaking and rejecting highs/lows.
Ranging markets
- Price respects a defined range with identifiable swing low/high boundaries.
Choppy markets
- “In-between” range structure; can be reframed as consolidation.

Fractal idea:

A daily “chop” may contain lower-timeframe ranges/trends (and vice versa).

Trading implication:

Identify whether you’re in trend vs range vs chop, because each requires different expectations/logic.

7) Smart money vs dumb money (the speaker’s framing)

Key claims:

“Smart money” = market makers
- Not “people who watch ICT” or “people who call liquidity.”
- Presented as a small group with superior positioning and execution.
“Dumb money” = broad retail/uninformed participants
- Targeted for stops/liquidity grabs.

Core behavior logic:

When smart money flips bias, you see:
- purges,
- stop runs,
- liquidity being taken on one side of a key level,
- followed by movement in the new direction.

8) “Highs and lows” logic and “Buy Low / Sell High”

The speaker anchors the approach to:

Rule 1 (primary): Buy Low, Sell High
- Do not buy above highs; do not sell below lows.

To apply it:

Measure whether price is in premium vs discount using “data ranges” and tools (e.g., a 20/40/60-day framework, dealing range, expansion leg).
Choose action so it aligns with the “where are we?” logic.

9) “Turtle Soup” (T.S.) concept and its role

“Turtle soup” is treated as a liquidity/stop-run + reversal/continuation event around key levels.

Important distinctions:

Not random pattern hunting.
Must align with:
- higher-timeframe PD/PD arrays,
- higher-timeframe FVG/order block / key levels,
- market profile state (trend vs range),
- premium/discount (relative “high vs low” measurement).

Three explicit “shapes/types” of Turtle Soup:

Continuation turtle soup
- In trending context to continue direction.
Range turtle soup
- Around range extremes (range low/high).
Reversal turtle soup
- Around higher-timeframe key levels to flip direction.

Entry logic sequencing (practical rule):

When seeking entries, the options are:
1. Turtle soup
2. If missed/unsure: order block / FVG area
  - Stop loss tied to the turtle soup low/high logic.
3. If still missed: violent retracement
  - A deeper retracement after the scare.

10) Market efficiency / the “illusion of breakout”

The speaker argues false breakouts and liquidity sweeps happen to lure retail.

“Real breakout” (as described):

Doesn’t provide an easy breakout entry at the breakout candle moment.
Often includes:
- taking liquidity,
- fear/panic,
- then movement that retail chases too late.

11) Eliminating mistakes via journaling + process discipline

Mechanism:

Identify whether failure came from:
- wrong thesis / wrong HTF context / wrong market profile, or
- wrong execution timing.
Setup failures are framed as operator errors (not “shitty price action”).

Process includes:

writing expectations before,
reviewing how price behaved afterward,
adjusting execution rules (e.g., waiting for proper shifts/levels).

Methodology / steps explicitly described

A) How the speaker says you should learn price (offline workflow)

Step 1: Backtest/hindsight first
- Use historical charts to recognize recurring behavior patterns.
Step 2: Tape-read live (not “message-based guessing”)
- Watch candles form.
- Predict what you think will happen using your model.
- Note price behavior at key times/levels.
Step 3: Journal every trade and mistake
- Record the expected thesis (where it should react / why).
- Record where/how it reacted (and when).
- Identify execution errors (late/early entry, wrong level, invalidation mistake).
Step 4: Do corrections by reviewing the journal
- Eliminate repeated mistakes.
Step 5: Don’t rely on social media for model learning
- Social media is framed as distraction that encourages comparing to other rookies.

B) Foundation check before trading (the “thinking” sequence)

Step 1: Profile the market state
- Determine: trend vs range (and/or chop).
Step 2: Measure “high vs low” (premium/discount logic)
- Use “data ranges” (20/40/60-day mentioned).
- Use dealing range (dealing range FIB concept referenced).
- Use the “expansion leg” (directional swing context).
Step 3: Apply Rule 1
- In low/discount → prefer buy-low logic.
- In high/premium → prefer sell-high logic.
Step 4: Validate with higher-timeframe PD/FVG/order block
- HTF alignment is emphasized as a filter against false MSS/pattern traps.
Step 5: Only then choose execution
- Turtle soup entry, otherwise fallback to order block/FVG, otherwise violent retracement entry.

C) How turtle soup entries are executed (high-level framework)

Entry 1: Turtle soup at the key level
- Must align with higher-timeframe key levels and premium/discount logic.
Entry 2 (if missed): Order block / FVG zone
- Stop loss tied to the relevant invalidation point.
Entry 3 (if still missed): Violent retracement after the purge
- “Second-chance” momentum after retail is scared away.

D) How the speaker says to treat range trading (rules summarized)

Range direction rules (core):
- Buy range low
- Sell range high
- Avoid trading the middle of the range (neutral/chop risk).
Avoid breakout-style mistakes:
- Never buy range high and never sell range low unless a valid PD array is created at the level.
Expect stop runs around extremes:
- Stop run often occurs near ~50% of the range (speaker repeats “50% stop run”).
First breakout of a range is often false:
- Expect manipulation/accumulation before the true move.

Speakers / sources featured (from the subtitles)

Romeo (primary speaker; repeatedly referenced as “Romeo”)
Michael (briefly referenced; exact identity unclear)
ICT / Michael Huddleston / “ICT” (referenced as “mentor of mentors”; no separate speaker voice presented)
Z1 Trader (participant)
Robin / Robin (participant) (participant who asks questions)
Opium / hopium (participant name used by the speaker)
FX21 (participant name used by the speaker)
Zlatan (participant name used by the speaker)
RH / “RH” (participant name used briefly)
Angelo (participant name used briefly)
Alperin (participant name used briefly)
Ed zero (participant name used briefly)
Chris (participant referenced briefly)
JY / Jeremy (participant referenced briefly)

8 Romeo s Video Price

Key takeaways