Inverse Fair Value Gaps (iFVG): Inverse Fair Value Gap Trading

Rather than treating every visible imbalance as a trading signal, Faramarz Kowsari develops iFVG trading as a sequence of observable events. The book explains how a Fair Value Gap forms, what meaningful violation and acceptance look like, how a former imbalance can reverse its role, and how traders can evaluate the resulting zone within market structure, liquidity, displacement, premium and discount, and higher-timeframe context.

Readers learn the anatomy of bullish and bearish FVGs and iFVGs, the difference between wick penetration and decisive close-through, liquidity sweeps, displacement, Market Structure Shift (MSS), Break of Structure (BOS), dealing ranges, multi-timeframe alignment, and three practical iFVG entry models.

The book goes beyond pattern recognition by examining stop placement, structural invalidation, target selection, position risk, confluence, different market environments, false iFVGs, repeated tests, execution quality, and situations in which the correct decision is no trade.

A dedicated backtesting section shows how to test iFVG ideas without rewriting rules after seeing the outcome. Readers are guided toward building a repeatable trading process, documenting both accepted and rejected setups, and separating the quality of an iFVG zone from the quality of an actual trade.

Eight complete case studies demonstrate continuation, reversal, liquidity-driven and failure scenarios. A visual appendix of ten full-page infographics condenses the book into clear decision maps and trading workflows for rapid review.

Inverse Fair Value Gaps (iFVG) is written for traders interested in Smart Money Concepts, ICT-style price action, liquidity, market structure, Fair Value Gaps, intraday trading, and rule-based technical analysis. Its emphasis is not on guaranteed outcomes, but on clear definitions, testable decisions, disciplined execution, and controlled risk.

This publication is an independent educational work. Trading examples are provided for study and research and do not constitute personalized financial or investment advice.