GW CRT v3, Candle Range Theory, Liquidity Sweep, Reclaim, Fibonacci, Multi-Timeframe Bias Strategy

Explore the GW CRT v3 strategy. This algorithmic system uses Candle Range Theory, liquidity sweeps, reclaim patterns, and Fibonacci retracements with multi-time

Published · Updated · Methodology: SMC

  • Methodology: SMC
  • Content type: strategy
  • Timeframes: Multi-timeframe (HTF bias), Pre-market range definition
  • Markets: Forex (implied by #forextrading and Metatrader5), Indices (implied by 'Challenge WSF 25k' which often refers to prop firm challenges on indices/forex)

Indicators used

  • Candle Range Theory (CRT)
  • Fibonacci
  • Multi-timeframe bias (HTF)
  • Liquidity sweep
  • Reclaim

Source video

Decoded from: Trading Algorítmico EN LIVE — GW CRT v3 | Challenge WSF 25k by José Martínez - GreaterWaves — watch the original

Key timestamps:

  • 0:00 - Introduction to GW CRT v3 and Candle Range Theory
  • 0:00 - Strategy incorporates multi-timeframe bias and Fibonacci retracement levels
  • 0:00 - Pre-market range definition before American market open
  • 0:00 - Entry setups combine liquidity sweep, range reclaim, and Fibonacci retracements
  • 0:00 - Setups are filtered by multi-timeframe bias and adapt to session conditions

Topics

gw crt v3 strategy · candle range theory · liquidity sweep · reclaim strategy · fibonacci trading · multi timeframe analysis · smart money concepts · smc trading · forex trading strategy · indices trading strategy · algorithmic trading · trading strategy · pine script · tradingview strategy · price action trading

About this strategy page

This trading strategy was decoded by Strategy Decoder's AI from a public YouTube trading video and turned into a structured, reviewable specification. In the interactive app this page shows the full entry and exit logic, risk management settings, the indicators involved with their parameters, AlgoWizard-compatible logic and a Pine Script export ready for TradingView backtesting — plus an automated backtest verdict when one has been computed for this strategy.

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