La Única Estrategia que me Hizo Vivir del Trading (Llevo +5 años)

Assets / Instruments Mentioned

• Forex: EUR/USD (example trade)
• Indices (daily / 4H examples; specific index not named)
• Commodities: Gold
• Crypto (mentioned generically)
• Stocks, bonds (mentioned generically)
• General claim: method is fractal and applicable across markets/instruments

Key Claims / Performance Metrics

• Presenter reports being a profitable trader for approximately 5+ years after earlier losses.
• Spent over €10,000 on courses/strategies before changing approach.
• Claims weekly withdrawals of $1,000–$3,000 since adopting this model.
• Student anecdotes and reported results are shown (names include Sergio, Emilio, Ramón); subtitle numbers are partly corrupted and exact figures are unclear. These are presented as promotional examples.

High-Level Strategy / Framework (Step-by-step)

1. Start from higher timeframes to determine the primary trend
   • Use monthly, weekly, daily and 4H charts to identify the direction of order flow.
   • Trade only in the direction of the higher-timeframe trend (higher probability setups).
2. Identify Market Structure and Market Structure Shift (MSS)
   • Bullish MSS: price closes above the last higher-timeframe high (higher highs).
   • Bearish MSS: price closes below the last higher-timeframe low (lower lows).
   • Require confirmation by a candle body close beyond structure (not wick); otherwise consider potential manipulation.
3. Locate liquidity points on higher timeframes
   • Liquidity = highs and lows of higher timeframes. Equal highs / equal lows are treated as liquidity targets rather than static resistance/support.
   • The market/algorithm seeks liquidity (stop clusters) and will sweep those points.
4. Use previous-day high / low in context of higher-timeframe bias
   • A break/close of previous-day high/low that aligns with higher-timeframe structure acts as confirmation or fuel.
5. Identify and wait for pullback into significant zones
   • Use Fibonacci: premium (>50%) for shorts, discount (<50%) for longs.
   • Prefer entries when price is in the premium zone to sell or discount zone to buy, aligned with the trend.
6. Confirm with price-action and micro-structure on lower timeframes (e.g., 15-min)
   • Look for Swing Failure Pattern (SFP) or strong rejection after a liquidity sweep.
   • Require candlestick body close beyond the last closed structure for confirmation.
7. Look for Fair Value Gaps (FVGs) and Displacements
   • FVG: a 3-candle inefficiency where the high of candle 1 and low of candle 3 don’t touch.
   • Displacement: consecutive FVGs indicating strong directional force.
   • Treat FVGs as institutional footprints; expect pullbacks into FVGs for entries and continuation toward higher-timeframe targets.
8. Entry and risk management
   • Enter on confirmed close on the lower timeframe that aligns with higher-timeframe MSS / FVG / displacement.
   • Place stop loss beyond the previous structure/body (above/below last impulse).
   • Use multiple take-profit levels:
     • Nearest high/low liquidity point (first target)
     • Previous-day low/high
     • Higher-timeframe liquidity / major highs for larger R:R
   • Adjust time horizon by trader type (scalper, day trader, swing trader): same setup, different targets.
9. Position sizing and risk-reward examples (from examples shown)
   • EUR/USD short: example R:R outcomes cited as 2.37 and 6.27 depending on horizon.
   • Index buy example: R:R examples cited as 2.68, 3.39, 4.19.
   • Gold long example: R:R examples cited as 1:1, 1.66, and one corrupted subtitle (e.g., “115”) — unclear.
   • General rule: risk per trade set by stop loss based on structure; targets at sequential liquidity points.

Concrete Technical Signals / Vocabulary

• MSS (Market Structure Shift)
• Liquidity (highs / lows, equal highs / equal lows)
• Liquidity sweep / stop hunt (algorithmic target)
• Fair Value Gap (FVG) — also shown as “for value gap” / “forbody gap” in subtitles
• Displacement (consecutive FVGs)
• Swing Failure Pattern (SFP) — strong rejection after sweep
• Fibonacci premium / discount zones (above 50% = premium for selling; below 50% = discount for buying)
• Confirmation = candle body close beyond structure

Examples Shown

• EUR/USD (4H + 15-min)
  • Identified a downtrend, equal lows as liquidity target, multiple FVGs / displacements.
  • Sold on lower-timeframe confirmation after pullback; targets achieved.
  • Reported R:R examples: 2.37 and 6.27 (context: different time horizons / targets).
• Indices (daily / 4H + 15-min)
  • Bullish higher-timeframe, equal highs as liquidity target, multiple FVGs / displacement.
  • Bought on lower-timeframe confirmation; reported R:R examples: 2.68 / 3.39 / 4.19.
• Gold
  • Bullish higher-timeframe, FVGs and discount zone identified; entry after lower-timeframe confirmation.
  • Multiple targets with varying R:R examples (some subtitle numbers inconsistent).

Key Numbers and Timelines (Explicit from Subtitles)

• €10,000 invested in courses/strategies previously.
• Trading track record: ~5+ years.
• Withdrawals claimed: $1,000–$3,000 per week.
• R:R examples cited in video: 2.37, 6.27, 2.68, 3.39, 4.19.
• Some subtitle numbers are inconsistent or corrupted (e.g., “115”, “$000”) — these are unclear.

Recommendations / Cautions Highlighted by Presenter

• Trade only with the higher-timeframe trend; trading against it lowers probability.
• Mechanical strategies without context (rigid A+B+C rules) will fail when the market “algorithm” changes.
• Do not treat equal highs / equal lows as static resistance/support — they are liquidity targets.
• Require confirmation (body close beyond structure, extreme rejection, FVG presence) before entering to avoid likely stop-losses.
• Use higher-timeframe liquidity and structure to set take-profits and stops.
• Method presented as applicable across markets due to purported fractal/algorithmic behavior.

Disclosures / Promotional Notes

• No explicit “not financial advice” or formal risk disclosure appears in the subtitles.
• Presenter solicits direct contact via Instagram (send message “trade”) and a sign-up form; offers personal review/mentoring and shows student success stories (promotional).
• Some numeric claims and student results in the subtitles appear incomplete or corrupted; verify independently.

Presenter / Source

• Presenter identifies himself as “Tony” (YouTuber / trader)