Trading LIVE with the #1 Scalper in the WORLD (EXTREME Accuracy)

Finance-focused summary (markets/trading model, risk, performance metrics)

What the guest claims to do (scalping framework)

Fabio Valentino presents an order-flow + volume-profile “model” for intraday scalping on equities (NASDAQ). He argues most traders lose by:

• Trend-following on market-structure terms without correctly timing where price is in the day’s volume distribution / fair value area.
• Predicting instead of waiting for the market to show imbalance + aggression + follow-through.
• Taking trades during periods he says are prone to fakeouts and imbalance-to-balance oscillations (especially certain London hours).

He repeatedly frames the market using auction market theory: markets seek balance after imbalance. “Fair value” areas are defined statistically (he cites ~30% completion outside the fair value area).

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Tickers / instruments mentioned

• NASDAQ (primary focus)
• ENQ (gap-reply example; context suggests it’s an equity—exact formatting unclear)
• Crude oil (mentioned as a test he tried)
• Crypto (mentioned only in macro/leading-indicator discussion; no specific coin/ticker)
• America/Iran/Israel bombing (macro/schedule catalyst; no ticker)

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Step-by-step methodology (two-model framework)

Core market concepts used

• Auction Market Theory (AMT): balanced area vs imbalance; “searching for new balance”
• Volume Profile / Distribution, including:
  • Value Area High (VAH) / Value Area Low (VAL)
  • Point of Control (POC / “P”) = highest traded volume level
  • Low Volume Nodes (LVNs) = inefficiency / likely reaction zones
• Order Flow / Aggression:
  • Emphasizes monitoring aggressive orders (displayed as “bubbles”/balls) and whether there is follow-through
• CVD (Cumulative Volume Delta):
  • Used as a leading pressure indicator to judge buyer/seller aggression buildup and to move stops earlier

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Model 1: Trend-following (in imbalance; “out of balance”)

When to trade

• He strongly prefers the New York session for equities.
• He says do not hold overnight; close out near market close.

Steps

1. Market state (“condition of the market”)
   • Confirm the market is out of balance (an imbalance environment).
2. Location
   • Identify the swing point area and look for LVNs (low volume nodes) to define likely reaction/entry zones.
3. Validate the level
   • Use order flow to wait for aggression in the intended direction (he references filters and “big orders”).
   • Warns against entering on the first drive; he wants confirmation/follow-through.
4. Execution / trigger
   • Trigger on aggression and where big sell/buy aggression is located.
   • Stops can be placed using aggression location logic (e.g., “above the big sell aggression”).
5. Targets
   • Target the previous balance area, often anchored by POC (“P”) and prior value areas.
6. Position management
   • Prefer scaling out rather than holding for low-probability outcomes.
   • Uses risk controls (see risk section below).

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Model 2: Mean-reversion (consolidation; “back into balance”)

When to trade

• He says it works in consolidation/range conditions.
• Described as an inverse use-case vs Model 1.
• Notes compression days can hurt Model 2 (and references 2023–2024 choppiness / summer compression).

Steps

1. Identify consolidation / range
   • Use volume profile to reduce the chance of trading when price is likely breaking away from VAL/VAH.
2. Wait for a first breakout, then enter on retracement
   • Avoid entering on the first spike; look for the pullback.
3. Targets
   • Use LVNs near VAL/VAH as higher-probability reversion targets.
4. Execution logic
   • Execution depends on aggression/follow-through returning in the reversion direction.
5. Stops / invalidation
   • Stops/invalidations are tighter when volume/delta supports the move.

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Key numbers, metrics, and explicit performance claims

Performance / rankings

• Claims top 3 in world rankings of a “Robins Club”
• Claims “over 500% return” in a 12-month period (futures division mentioned)
• Mentions “World Cup scalping execution” and a high number of executions (example phrasing includes ~2,400 executions per year-type comparison, and later references trading “in the World Cup” with many stops)

Win rate / probability assertions (qualitative with numbers)

• He claims:
  • Standard trend setups only ~30% complete; the remainder stays in the fair value area (causing stopouts).
  • Changing the condition (waiting for “out of balance” vs pattern immediately) can improve win rate by +20% to +30%.
• Targets and risk/reward ranges he states repeatedly:
  • Common: around 1:2 to 1:5
  • Sometimes: 1:10 to 1:20 (rare; tied to the day’s range/volatility)

Risk management numbers (explicit)

• Risks:
  • ~0.25% per trade in a personal account
  • up to ~0.5% per trade in “Robins Cup” context
  • sometimes ~1% when return above 100% (as described)
• Daily maximum loss cap:
  • “Maximum stop-loss for the day like in percentage term is 2%”
  • He argues stress is reduced because the day’s losses can’t spiral.

Examples of trade sizing / profit math (in subtitles)

• NASDAQ one contract profit examples:
  • ~$1,100 in ~half an hour with one contract
  • Targets like $2,000 / $2,200 (day-scale examples and per-contract framing)
• Scaling concept:
  • With multiple contracts (e.g., 5) the same move can scale to five figures per day, but win rate decreases with larger lot size.

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Concrete recommendations / cautions given

• Trade the New York session (equities); avoid the early London first hour due to fakeouts.
• Do not trade before the New York open (pre-open described as a “battle”; recommends waiting).
• Avoid trading compression with the wrong model:
  • Model 2 can be harmed during compression days; Model 1 prefers more volatility.
• Do not enter on the first drive:
  • Wait for confirmation/follow-through to reduce fakeouts.
• Use aggression + follow-through over solely candlestick patterns / subjective multi-timeframe interpretation.
• Risk controls beat prediction:
  • Emphasizes willingness to be “wrong immediately” and use break-even logic.
• Position management:
  • Scale out and secure profits quickly to reduce revenge trading.
  • Stop placement tactics to reduce slippage (example: placing stops 1–2 ticks below rather than “above the high”).

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Disclosures / disclaimers / sponsorship content

• No clear “not financial advice” disclaimer is seen in the provided subtitles.
• Sponsorships mentioned (marketing segments):
  • Apex Trader Funding
  • TradeZella
  • Funded Next
  • ProperTrader.com

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Presenters / sources (mentioned)

• Fabio Valentino (main guest / scalper)
• Ritz (host/moderator; asks Fabio questions)
• Chart Fanatics / ChartFanatics.com (channel/platform for strategy PDFs)

Named referenced traders/educators and related concepts:

• Carmen Rosato (similar order flow trader; inspiration for “low volume node” reactions)
• Jim Simmons and Renaissance Technologies (edge decay discussion)
• Patrick Neil (similar volume/confirmation concepts)
• ICT (mentioned as an analogy; no direct methodology attributed beyond style reference)