12 Years of Trading Knowledge in 2 Hours - Umar Ashraf

Main Ideas & Concepts (Overall Message)

• The video presents a 5-step (A–to–E style) trading development framework to take someone from complete beginner (“stage zero/one”) to expert-level, consistent trading.
• The objective early on is not “making money”. It’s building a consistent, repeatable process—with monetary performance becoming a byproduct later.
• Progress is framed as a slow marathon, not a sprint. Rushing typically leads to blowups and a cycle of hype → losses → reset.
• Key mindset principles repeatedly reinforced:
  • Trading is hard (accept it early).
  • Chase the process, not the dollar amount.
  • Control what you can control: risk, execution, rules, trade selection, trading days, and emotion management via position sizing.
  • There is no “aha moment.” Winning today doesn’t guarantee tomorrow—you must keep showing up and adjusting.
  • Psychology is often overrated early. Reduce emotional hijacking by using small size and proper risk so emotions don’t take over decisions.
• The framework emphasizes documentation, rules, journaling, and data tracking to build reps and systematically improve.

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The “5-Step Process” (Stages)

The transcript explicitly describes stages one to five. Stages one and two are detailed most, while stages three and four are discussed more conceptually but still with clear requirements.

Stage 1 (Novice / “Building the Foundation”)

Purpose

• Build foundation, process, and education through experimentation.
• Develop comfort with:
  • the market selected,
  • the style used,
  • and the platform/workflow.

Core Principles

• Pick one market rather than jumping between crypto/futures/forex/options early.
  • Example markets mentioned: ES (S&P 500), NQ (New York session / NY time).
• Pick a trading style (scalp/day trade/holding longer), but accept you may change after experimentation.
• Use paper trading first if truly new, then transition to very small real capital.
  • Example sizing mentioned: roughly $1k–$3k max early.

Risk Guidance

• Risk very low, often stated as <1% (even 0.5% per trade).
• Goal: survival and getting reps—not profitability.

Process Requirements (Non-Negotiables)

Maintain three daily components:

• Pre-market game plan
• Live trading notes
• Post-market analysis

Add economic context:

• Review economic events from last week and this week (and expect you’ll mess this up early—learning is part of the process).

Rules Examples

• Trade cutoff: stop trading around 11:00 a.m. Eastern (or up to ~12:00 early).
• Be at desk before market opens: e.g., one hour before.
• Hard risk limit per trade: example given $50 max.
• Limit trade count: example max three trades/day.
• Rationale: reduce overtrading, chaos, and decision fatigue—early quality improves when time on-screen is limited.

Education Balance

• Early on, video education decreases as screen time/observation/reps increase.

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Stage 2 (Developing / “Build Playbooks & Strategies”)

Entry Criteria

• Don’t move to Stage 2 unless you can sustain Stage 1 habits consistently (e.g., for a month straight).

Purpose

• Turn learning into playbooks/strategies.
• Create a structured, repeatable approach, not random discretion.

Core Principles

• There is no single “best” strategy.
  • Approaches like ICT/SMC/order flow may all work if proven, tested, and understood.
• Avoid strategy hopping.
  • Develop an approach and understand its thesis.
• Each playbook must include:
  • the conceptual “why” (why the setup works),
  • the conditions that make it valid,
  • and when it should not be traded.

Backtesting & Experimentation

• Actively backtest and replay historical scenarios in Stage 2.
• Method:
  • write rules,
  • test “would I take it?”,
  • record outcomes,
  • accumulate a database of trades and patterns.

Dynamic Risk (Conceptual)

• As competence improves, you learn when to adjust risk based on context:
  • better vs worse days,
  • event risk (e.g., Powell speaking),
  • sentiment,
  • order flow strength/weakness.

R-Multiple (R) Tracking Introduced

• Track performance by R, not only win/loss or dollars.
  • Risk $1 to a stop = -1R if hit.
  • If price moves +2R before your stop/exit = +2R.
• Focus on whether losses exceed intended risk.
  • Example: negative -2R suggests process failure.

Stop Quality & Execution Metrics

Evaluate whether stop loss issues come from:

• stops being too tight or too loose,
• stops being hit due to execution timing,
• or breaking the rules.

Weekly/Monthly Review (Data-Driven Reflection)

• Document learned market facts:
  • e.g., “Powell speaks → market moves,”
  • “first Friday job reports matter,”
  • “Trump tweets move markets.”
• Convert learning into process goals:
  • e.g., reduce negative R multiples by improving stop adherence.

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Stage 3 (Optimization / Intermediate)

Purpose

• Use your data to identify recurring problems, then fix them one-by-one (or in parallel for different areas).
• Transition from “collecting data” to problem-solving with evidence.

What Should Be True in Stage 3

• You know:
  • your biggest negative patterns (e.g., choking trades, cutting profit too early, oversizing, mismanaging exits),
  • your biggest positives (what reliably works).
• You have enough data to diagnose causes beyond memory.
  • Example: oversizing might correlate with sleep issues or prior-day market movement leading to emotion the next day.

Implementation Mindset

• Expect a fix loop:
  • identify problem → verify with data → implement solution → track improvement.

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Stage 4 (Advanced / “Size-Up Game”)

Purpose

• Start scaling risk using dynamic position sizing.
• Emotional triggers become a major risk factor.

Main Challenge

• Sizing up increases emotional pressure:
  • fear of losing more,
  • ego,
  • “burn,”
  • hot-streak excitement, etc.

Dynamic Risk Rules (Examples)

• Rules depend on context. Example: if you take a big opening trade, you may size down on the second trade.

• Sizing up is treated like controlled escalation—not automatic doubling.

Sizing-Up Method (Staircase / Constraints)

• Don’t jump aggressively. Suggested baseline: 20–30% increase as a starting guideline.
• Increase gradually over time.
• Adjust based on recent drawdown and performance stability.

Hot Streak / Cold Streak Management

• Mistakes rise when emotions spike (positive or negative).
• During extreme streaks:
  • reset, sometimes by stepping away or reducing risk temporarily.

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Stage 5 (Expert / Comfortable Consistent Risk)

Purpose

• Maintain consistency at an expert sizing level with stable process and emotional control.
• Stage 5 is described as where you cruise, but you still cycle back to Stage 4 when you want to size up.

Expected Capability

• You can handle:
  • drawdowns without losing the process,
  • process deviations by returning to the full framework (stages 1–5 loop).

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Methodologies / Instruction Lists Explicitly Taught

Daily Routine Template (Stage 1–5 “Process Backbone”)

• Pre-market game plan

  • Review economic events from last week and this week
  • Identify key levels, market bias, inflection points (e.g., supply/demand zones)
  • Decide session plan: what setups to look for and why

• Live trading notes

  • Use tools such as screen recording or writing
  • Timed check-ins (example: every 15 minutes)
    • record what you see
    • record your reasoning
    • record your stop and invalidation concept

• Post-market analysis

  • Compare:
    • your pre-market plan vs actual execution
    • setup selection vs what you truly traded
  • Identify deviations and why they happened

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Risk Management Instructions

• During Stage 1–early Stage 3:
  • risk very low (commonly <1% or ~0.5% per account)
  • example scale: for a $1k account, allow something like $10–$20 max loss
  • aim for survival + repetition, not profit chasing
• If emotions are an early issue:
  • reduce position sizing so you can follow the plan.

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Trade Tracking Instructions (Stage 2 Focus)

• Track performance using R-multiple:
  • define stop-risk in advance (e.g., “if price hits X, I lose -1R”)
  • record outcomes as +R or -R
• Track execution quality:
  • stop effectiveness (too tight/too loose)
  • entry timing (early/late)
  • exit timing (early/late)
  • trade count vs rules
  • adherence to max loss rule
• Weekly review:
  • summarize what you learned about market behavior
  • translate into concrete next-week goals
    • e.g., “reduce negative R by following stop loss”

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Playbook Development Instructions (Stage 2)

• Build playbooks only after Stage 1 process is stable.
• For each playbook:
  • write rules
  • define the valid time window
  • define entry criteria and invalidation/invalid conditions
  • explain the why (thesis, sentiment, order flow/auction logic)
• Backtest using “would I take this?”:
  • test rule conditions across history
  • collect sample trades
  • evaluate consistency and conditions under which the approach fails

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Speaker/Source List (As Featured in the Subtitles)

• Umar Ashraf — founder of Tradezella (and an “eight-figure verified trader” is mentioned by the host)
• Host / Interviewer — “Chart Fanatics” host (name not explicitly stated in the subtitles)
• Sponsor/Ad sources mentioned
  • Apex Trader Funding
  • Tradezella
  • Propertrader.com
  • Other prop firms/discounts mentioned: Apex, Atmos Funded/Toxrex, Blueberry, Alpha Capital