74% Win Rate Trader Shares His EXACT OrderFlow Strategy ($2M+ Payouts)

Finance-focused summary (markets / investing / trading)

Instruments / tickers mentioned

• ES (E-mini S&P 500 Futures)
• NQ (E-mini Nasdaq-100 Futures)
• (Conceptually) pre-market / overnight levels
• RTH (Regular Trading Hours) vs Globex/overnight (extended hours)

Key trading context & macro/news references

• Mentions high-impact scheduled volatility days that drive liquidity, including:
  • CPI
  • Non-Farm Payrolls (NFP)
• Notes a Trump announcement about a US ceasefire in the US–Iran war as a catalyst:
  • Used to explain a gap up, followed by chop/range behavior
• References “tariffs” as an example of thin liquidity / thinner order-book conditions impacting trading behavior

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Strategy framework (order flow + volume profile) — methodology / step-by-step

Core idea: build “support/resistance zones” from order-flow + market structure

• Support/resistance zones (often referred to as AOIs) are marked using at least 2 of 4 criteria (not necessarily all 4).

The “4 criteria” used to define an Area of Interest (AOI)

1. Market-generated levels

   • Previous Day High/Low
   • Overnight High/Low (9:00pm EST to 9:29am EST)
   • ORB High/Low using a 30-second ORB

2. Volume Profile (RTH-only)

   • Uses developing intraday value areas:
     • Value Area High/Low: region where ~70% of volume transacts (as described)
   • Identifies Low Volume Nodes (LVNs) as potential liquidity/trend clues

3. Big Trades (tick-data dependent)

   • Uses platforms with tick data and looks for “volume bubbles” above a threshold
   • Default filters cited:
     • 75 lots for NQ
     • 200 lots for ES
   • Thresholds are adjusted when liquidity is thin (e.g., 50 and 100 in “tariff” / thin-book conditions)

4. Delta Profile

   • Delta = ask transactions − bid transactions
   • Looks for absorption and trapped buyers/sellers
   • Interpretation:
     • Negative delta + price stalling near a level ⇒ sell-side pressure absorbed
     • Positive delta + price stalling ⇒ buy-side pressure absorbed
   • Confirmation:
     • Absorption/trapped behavior at the zone validates it as S/R

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Two market-condition “models” (range vs trend)

Model 1 — Balance/Chop (range trading)

• Used when the market is stuck in a range
• The approach avoids trading the middle of the range due to chop/risk skew.
• Setup logic:
  • Wait for price to test the edges (e.g., Value Area High/Low / LVNs)
  • Confirm with order-flow signals (absorption / aggressive side failing to follow through)
• Entry approach:
  • “Aggressive entry” with a tight stop and smaller sizing (higher chance of being wrong in chop)
  • Emphasizes:
    • “Average up, not average down” (add only when confirmation appears)
• Exits / risk management:
  • Often targets:
    • TP1 at the midpoint of the value range
    • TP2 toward the opposite edge
  • After TP1: stop to break-even to prevent winners turning red in chop

Model 2 — Trend (trend continuation / retest behavior)

• Used when volume profile suggests a directional day (trend).
• Volume profile behavior:
  • Value shifts over the day (claim: many traders don’t track this daily shift)
  • When value is accepting higher ⇒ buyers are stronger
  • When value shifts down ⇒ sellers are stronger
• Setup logic:
  • Look for pullbacks into LVNs / low-volume side areas where order flow suggests:
    • buyers become aggressive again (bullish version), or
    • sellers become aggressive again (bearish version)
  • Goal: clear trapped orders
• Entry style:
  • Either:
    • aggressive entry with tight stop, or
    • wait for confirmation after retest into LVNs / value edges
• Risk/targets:
  • Commonly cites ~2R targets with tight stops on aggressive entries
  • Exits use value structure (e.g., in uptrends avoid lower-high behavior; if a lower high appears with big-trade signals, exit)

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Execution rules and risk management (explicit)

• Only trade when the AOI is tested
  • If price never returns to the zone, no trade.
• “Never let a trade that is working go red.”
  • If a stop is hit and turns the trade red, prefer re-entering later rather than “hoping.”
• Sizing
  • Aggressive entries use smaller size
  • Scaling occurs only with confirmation
• Prop-firm drawdown constraints
  • Prefers securing payout due to limited drawdown
  • Mentions a “trailing model” concept for longer holds, still within prop constraints
• Time management
  • Primarily trades the first few hours
    • often within ~1 hour, sometimes 2–3 hours
  • May sit out if broader-timeframe levels aren’t tested yet (waits for intraday structure)

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Key numbers, performance metrics, and reported results

Trader / channel performance claims

• The host claims the guest has:
  • $1.5M+ in prop firm payouts
  • 196k payouts in the last month
  • “On track” for 60k+ this month (as of filming)
• Guest performance (self-reported / discussed):
  • Claims $2M+ prop firm payouts (overall narrative)
  • Mentions a $6K day across multiple accounts and “two trades in one day”
• Example day:
  • 6K across five accounts
  • 80% payout split (guest frames this as corresponding to about a $4.2K payout)
• January example:
  • “100K month”
  • “100K payouts 15 days into January”
• Profit example from an explained screenshot:
  • “Risk 15 points, you’re making 60+” (4R+ style)
  • Execution described as done in 30 minutes
  • Mentions about 10 minutes from breakdown to entry/decision window in one example

Order-flow thresholds & timeframe settings

• Big trades filter thresholds:
  • 75 lots (NQ) and 200 lots (ES) baseline
  • Adjust to ~50 and ~100 in thin liquidity
• Delta profile reset:
  • Delta tool resets every 30-minute intervals (while watching full-session delta on the DOM in some explanations)
• Chart timeframes for structure:
  • NQ: 2-minute
  • ES: 3-minute
  • Avoids lower timeframes due to noise (e.g., 1-minute previously felt noisy)

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Named platforms / data tools (execution / analytics)

• TradingView
  • Noted as lacking good tick data for accurate “big trades”
• Sierra Charts
  • Suggested as a popular Windows option for tick data
• MotiveWave
  • Cross-platform; mentioned as the tool the speaker uses (Mac-compatible)
• Order book / DOM
  • Watches “speed of movement” and delta/absorption behavior
• TradeZella
  • Mentioned with “playbooks” from Chart Fanatics (sponsor ad; not presented as the trading method)

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Explicit recommendations / cautions

• Do not anticipate; react to how price accepts/rejects value.
• Avoid:
  • Averaging down (average up only with confirmation)
  • Trading the middle of range during chop
  • Chasing momentum / trading against momentum when price is “a moving train”
• Emphasizes speed and confirmation:
  • If confirmation doesn’t arrive quickly, you may miss the move
  • Requires mental preparation and clear rules

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Disclosures / disclaimers mentioned

• No explicit “not financial advice” disclaimer appears in the provided subtitles.
• The strategy is described as based on backtesting/real-time documentation.
• Encourages viewers to backtest and develop their own rules:
  • “test it”
  • “develop something for yourself”

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Presenters / sources mentioned

• Riz (Chart Fanatics host)
• Trader Yush (guest/proprietary trader; main speaker)
• Randy Howell and Carmine Rosato (appear in a Chart Academy promotional segment)
• Sponsors/props mentioned by name (not presenters):
  • Apex Trader Funding
  • Alpha Capital
  • TradeZella
  • Platform references: Sierra Charts, MotiveWave