My Scalping Strategy Just Hit Its Cleanest Win Rate Yet (Best on 5 Minute)

Finance-focused summary (scalping strategy)

The video describes a 5-minute “scalping” trading approach (with setups also on 1-minute and 2–3 minute charts). It claims the strategy is built around supposed institutional/algorithmic activity, liquidity sweeps, and pivot-point confluence. It further claims the “cleanest win rate yet” comes from a repeatable pattern that occurs 3–4 times per day.

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Core thesis (as presented)

• Price reversals at certain levels are framed as “footprint zones” left by institutions/algorithms rather than classic retail support/resistance.
• Institutions allegedly:
  • Build positions in specific supply/demand zones using algorithms.
  • Use hedging (holding long and short simultaneously), creating mitigation zones where price is expected to return to unwind hedges.
  • Hunt retail stop-losses via liquidity runs / liquidity sweeps before moving in the intended direction.

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Methodology / step-by-step framework (explicit process)

Step 1: Identify “Footprint zones” (structural break)

• Find compact consolidation areas or a single candle that led to an immediate move.
• Non-negotiable condition: the zone must cause Break of Structure / Change of Character:
  • Uptrend (buy): price breaks above the previous high
  • Downtrend (sell): price breaks below the previous low
• Mark the last candle in the opposite direction before the breakout (“the single candle that started it all”).

Step 2: Apply a pivot-point confluence filter

• Only trade zones that align with daily pivot levels:
  • Demand zone near S1 (example given)
  • Supply zone near R1 (example given)
• Claim: pivot points don’t guarantee reactions, but increase probability when combined with footprint zones.

Step 3: Wait for a liquidity run (stop-hunt trigger)

• Look for a move where price spikes beyond an obvious technical level (where many stops would sit), then quickly reverses back into your zone.
• Pattern psychology:
  • For a buy: liquidity run traps sellers (stop-losses below demand), whose forced selling allegedly turns into fuel for the rally.
  • For a sell: liquidity run traps buyers (stop-losses above supply), whose forced selling allegedly fuels the drop.

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Execution rules / order placement

Buy setup

• Entry: at the top of the demand zone
• Stop-loss: slightly below the demand zone
• Target: next major supply level, recent swing high, or opposing pivot point

Sell setup

• Entry: at the bottom of the supply zone
• Stop-loss: slightly above the supply zone
• Target: next major demand level, recent swing low, or opposing pivot point

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Time/validity constraints

• “Footprint zones” have an expiration window:
  • Highest probability when price returns within 2 to 4 hours
  • The footprint is described as stale after that
• Freshness filter:
  • Mark only zones not “touched” in the last 2 to 3 hours

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Key numbers / explicit recommendations

• Signal frequency: 3–4 times per day
• Zone validity window:
  • 2–4 hours (highest probability)
• Fresh-zone window:
  • 2–3 hours since last touch
• Risk management rule:
  • Never risk more than 1% of account per scalping trade
  • Example: $10,000 account → $100 max loss per trade
• Example loss cited:
  • A trade stopped out for about 10 pips

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Instruments / tickers / markets mentioned

• Gold (referenced during the London session)
• GBP/USD (“pound dollar” during the New York session)
• EUR/USD (“Euro Dollar” on a 2-minute chart)
• Pivot levels mentioned by name:
  • S1, R1
  • “Daily pivot level” framework

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Macroe/market session context (when it’s strongest, per video)

Institutional footprint strength is allegedly highest during:

• London open
• New York open
• Session overlaps

Mentioned failure reason:

• The EUR/USD losing example occurred on a zone formed during light volume hours; institutional footprints are said to be stronger during high volume.

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Disclosures / cautions

• The video frames trading as an “institutional algorithmic” method, with a performance caution:
  • Losing trades will happen even with perfect setups
• Emphasis:
  • Risk management controls the amount lost, not whether trades win.
• No explicit “not financial advice” disclaimer appears in the provided subtitles.

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Presenters / sources

• No presenter name or external source is mentioned in the subtitles.
• The instruction/strategy is delivered by an unnamed speaker (e.g., “Let me show you…”, “I’m looking at…”).