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A fair value gap (FVG) indicator identifies price imbalances between market participants by analyzing multi-timeframe candle patterns and highlighting potential trading opportunities.
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The fair value gap (FVG) indicator detects price imbalances by analyzing candle patterns across multiple timeframes. It identifies gaps where a large candle's previous and subsequent candles do not fully overlap, creating a distinct space that represents market participant disagreement.
The script examines higher timeframe bars to detect bullish and bearish FVG formations, calculating buying or selling pressure as a percentage ratio of volume. It draws visual representations of these gaps and can add trend lines to highlight potential trading opportunities.
Why it may be useful
Fair value gaps provide traders with unique insights into market dynamics by revealing moments of price imbalance and potential trend continuation or reversal. By identifying areas where market participants have different perceptions of value, traders can gain a strategic advantage in understanding potential price movements.
The multi-timeframe approach allows traders to see FVG formations from a broader perspective, combining higher and lower timeframe data to create a more comprehensive analysis of market behavior and potential trading signals.
When to explore it
Fair value gap indicators work best in markets with clear directional momentum and significant price movements. They are particularly effective in identifying potential entry and exit points during periods of market transition or when there are noticeable shifts in trading volume and sentiment.
Traders should use this indicator in conjunction with other technical analysis tools to confirm signals and validate potential trading opportunities. It is most suitable for active trading styles like scalping and day trading, where quick identification of market imbalances can lead to profitable short-term trades.
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What we’ve verified
Access, alerts and repainting behaviour have not been independently verified for this indicator. Check the creator’s current publication and settings.
General descriptions and classifications are recovered research. Verified details above identify the specific checks we have completed. Check the creator’s current publication for later changes.

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