Fair Value Gap, Multi Time Frame Analysis, Liquidity Sweeps, Market Structure
Learn a Fair Value Gap trading strategy using multi-time frame analysis, liquidity sweeps, and market structure for high-probability setups.
Published · Updated · Methodology: SMC
Part of: Fair Value Gap (FVG)
- Methodology: SMC
- Content type: educational
- Timeframes: Higher time frame, Lower time frame
Indicators used
- Fair Value Gap (FVG)
- Price Action
Source video
Decoded from: Fair Value Gap Trading Strategy With Multi Time Frame Bias by Com Lucro Trader — watch the original
Key timestamps:
- 0:00 - Introduction to FVG trading context
- 0:20 - Importance of liquidity, market structure, directional bias, and higher time frame alignment
- 0:35 - How FVGs are combined with multi-time frame analysis, liquidity sweeps, and market structure shifts
- 0:50 - What you will learn: identifying stronger FVGs, aligning time frames, using FVGs as structured entry zones
Strategy overview
A fair value gap (FVG) marks an imbalance left behind when price moves so fast that one candle's range fails to overlap the next, leaving a zone the market often revisits. This entry, decoded from Com Lucro Trader's "Fair Value Gap Trading Strategy With Multi Time Frame Bias," is less about the gap itself and more about the context that makes one worth trading: it frames the FVG as the last piece of a top-down read, where higher-timeframe direction decides which gaps deserve attention in the first place.
The video's organizing idea is directional bias. Instead of treating every FVG as a signal, it starts on the higher time frame to establish which way the market is leaning, then drops to a lower time frame to locate gaps that line up with that bias. Liquidity sweeps and market-structure shifts act as the qualifiers — the events that separate a 'stronger' FVG worth using as a structured entry zone from one that is just noise. The effect is a workflow that treats the FVG as a place to enter, not a reason to enter.
That top-down framing is what sets this version apart from single-timeframe, gap-fill approaches: alignment across time frames comes before the entry, not after it. The video works through identifying higher-quality FVGs, aligning multiple time frames, and reading liquidity and structure as the confirmation around them — the reasoning a trader would use to judge whether a gap fits the larger picture before acting on it.
Topics
fair value gap strategy · fvg strategy · multi time frame analysis · liquidity sweeps · market structure · smc strategy · price action trading · trading strategy · tradingview strategy · swing trading · forex strategy · crypto strategy
Frequently asked questions
What is a fair value gap (FVG)?
A fair value gap is a price imbalance left when a fast move creates a gap between candles that don't overlap. Traders watch these zones because price frequently returns to them before continuing, which makes them candidate areas for entries.
What does 'multi time frame bias' mean in this strategy?
It means setting directional bias on a higher time frame first, and then only trading fair value gaps on a lower time frame that align with that higher-timeframe direction — so the bigger picture filters which gaps you act on.
How do liquidity sweeps and market structure fit in?
In this approach they work as qualifiers rather than separate signals. A liquidity sweep followed by a shift in market structure helps flag which FVGs are stronger entry zones, instead of treating every gap on the chart as tradeable.
How can I test a multi-timeframe FVG strategy?
Backtest it on historical data across the time frames you intend to use before risking capital. Strategy Decoder extracts the structure of strategies like this one from video sources so you can study and evaluate them on TradingView.
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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