EU ESTUDEI OS MAIORES TRADERS DO MUNDO E TODOS COMPARTILHAM O MESMO SEGREDO

Finance-focused summary (markets/trading/investing)

The video claims to distill common “rules” from interviews with top traders (and books like Market Wizards / Market Wizards sequels). It emphasizes that consistent profitability comes less from predicting and more from:

• Risk management
• Trend alignment
• Disciplined execution
• Probabilistic thinking

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Key tickers / assets / instruments mentioned

• Stocks: Magazine Luiza (repeatedly referenced as “Magalu”)
• Currency / FX (implied): GBP (British pound)
• Derivatives: Options (mentioned as markets scanned by the mentoring service)
• Crypto & futures: mentioned as markets scanned by the service
• Indicators / moving averages:
  • 9-, 21-, 50-period moving averages
  • Parabolic SAR
  • ETR indicator (used for stop logic)
• Commodities / ETFs / bonds: not mentioned

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Methodology / framework presented (step-by-step ideas)

1) Trend-first execution (multi-timeframe / Dow Theory style)

Define trend by:

• Price structure:
  • Higher highs / higher lows = uptrend
  • Lower highs / lower lows = downtrend
  • Otherwise = sideways
• Moving averages: slope of 9/21/50 MAs plus whether price is above/below them

Use “three simultaneous trends”:

• Primary: monthly (“ocean tide”)
• Secondary: weekly (“waves”)
• Tertiary: daily (“ripples”)

Trading rule: the monthly trend dictates what is allowed:

• If monthly trend is up: buy only (selling forbidden)
• If monthly trend is down: sell only or stay out (buying forbidden)

Operationally tied to the “three screens”:

• Monthly = direction allowed
• Weekly = opportunity/discount zone
• Daily = entry trigger

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2) Stop-loss placement logic (structure-based, not arbitrary %)

Place the stop where your thesis fails, behind a structure—not based on a random percentage.

Examples:

• Buying a pullback below a moving average: stop just below the MA or below the reversal candle low
• Buying a breakout from consolidation: stop below the consolidation low
• Buying after a swing low: stop below that low

Explicit warning: don’t set stops like “5%” because the market doesn’t care what hurts your wallet.

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3) Risk-reward targets (long targets, short stops)

• Minimum claimed requirement: at least 1:2 (risk 1 to seek 2)
• Ideal aim mentioned: 1:3

Exit method: use trailing stops (raise/lower stops as price advances).

Examples of trailing methods given:

• 9-period moving average
• stop-loss trail logic
• Parabolic SAR

Explicit rejection: fixed targets are described as harmful (“targeting … is a crime against your assets”). Instead, let the market decide exits via trailing.

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4) Portfolio construction (“concentration with controlled risk”)

• Concentrate positions instead of holding many assets: “Go for the jugular” (Soros quote)
• But avoid uncontrolled per-trade risk:
  • Typical per trade risk: 2–3% of capital
  • Rare “fully aligned” cases: up to 4–5% max

The service also claims it scans a wide universe (Brazil/US stocks, futures, crypto, options).

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5) Probability mindset + discipline rules

Focus on positive mathematical expectation (PME).

Strategy expectation depends on:

• Win rate (success rate)
• Risk-reward ratio

Key consequences emphasized:

• Don’t panic after several losses (small samples)
• Don’t constantly change strategy after short runs
• Don’t increase position size to “recover a loss” (revenge trading is explicitly warned against)

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6) Psychology via “mechanical defenses”

Prevent emotions from overriding the plan with:

• Pre-set stop before entering
• Position size determined by risk % (not confidence)
• A checklist covering:
  • trend alignment
  • setup type
  • stop behind structure
  • risk-reward >= 1:2

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Key numbers and performance examples

Trader ROI examples (used to support the narrative)

• Michael Marcos: $30,000 → $80 million
• Takashi KA: $13,000 → >$150 million
• Dan Zanger: < $11,000,000 → tens of millions in < 2 years

Emphasis: none started rich; many had early failures/bankruptcies before becoming profitable.

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Risk/reward math example in the video

Example using 1:3 ratio with 40% win rate:

• 10 trades:
  • 4 wins × (profit 3% each) = +12%
  • 6 losses × (loss 1% each) = -6%
• Net over 10 = +6%

Break-even comparison: with 1:1, the video claims you need >50% win rate (plus costs/taxes).

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Position sizing / stop vs target example from charts (Magalu)

Claimed example trade:

• Stop: ~8%
• Target move: ~48%
• Stated as 6x risk (risk 8 to gain 48)

Spreadsheet example:

• Starting capital: 10,000
• Each stop = -2% of capital
• Correct trade = +6% profit (3x risk)
• Even with 40% accuracy, after 10 trades net result cited: -11.8% (with the implication that larger samples improve outcomes)

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Explicit recommendations / cautions

• Never trade against the larger trend (monthly trend is dominant)
• Use short stops and long targets; cut losses quickly, let winners run
• Stop-loss placement must be structural (thesis failure), not wallet-based %
• Don’t average down (“average price is poison”)
• Don’t increase size to recover losses (no revenge trading)
• Don’t constantly change strategies based on too few trades
• Maintain emotion control via pre-commitment:
  • pre-set stops
  • sizing by math
  • checklist discipline

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Disclosures / disclaimers

The subtitles mention a promotional mentoring service and its offer, but no clear “not financial advice” disclaimer appears in the provided text.

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Presenters / sources mentioned

• Felipe Daabu (host; closes the video)
• Market Wizard / Market Wizards referenced indirectly (interviews with great traders; not named in subtitles)
• Traders/authors cited:
  • Michael Marcos
  • Takashi KA
  • Dan Zanger
  • Martin Schwartz
  • Ed Sacota
  • Alexander Elder
  • Soros (quote about concentration: “Go for the jugular”)
  • Drunk Miller (Soros strategist mentioned in the GBP example)
• Charles Dow (Dow Theory referenced for multi-timeframe trend concept)
• Service referenced: Trade de Valor / TradeValor (mentoring platform/app)