Balanced Price Range Trading

Balanced Price Range Trading treats BPR as a measurable overlap between two opposing Fair Value Gaps rather than as a mystical institutional signal. The book separates observation, interpretation, and trading decision: first define the two imbalance intervals and their intersection, then establish the BPR boundaries and Consequent Encroachment midpoint, and only after that evaluate whether context justifies an entry, an invalidation level, an objective, or no trade at all. Historical OHLC examples are used to make the geometry reproducible, and failed examples remain part of the framework rather than being edited out after the fact. The middle sections build the concept from formation sequence and bullish or bearish anatomy through narrow and wide ranges, fresh versus tested or mitigated BPRs, nested structures, and location inside a dealing range. Premium, discount, equilibrium, liquidity, market structure, and higher-timeframe versus lower-timeframe alignment are treated as context that can change the meaning of the same measured zone. Execution chapters then examine returns to the BPR, midpoint entries, confirmation inside the range, confluence with Fair Value Gaps, Order Blocks, Breakers and inversion structures, and the practical relationship between entry, invalidation, objective, risk, and the decision to stand aside. The final sections make failure and research part of the model. Readers learn to classify failed BPRs, identify common analytical mistakes, convert visual ideas into testable rules, build a BPR dataset, backtest without hindsight, evaluate metrics beyond win rate, and create a personal playbook. Ten outcome-aware case studies, a visual BPR atlas, a dataset schema, glossary, and visual-reference material turn the book into both a conceptual guide…

For discretionary and research-oriented traders who already understand basic candlestick structure and want a rigorous, testable treatment of Balanced Price Ranges, Fair Value Gap overlap, market context, execution, risk and backtesting rather than a mythology-driven SMC shortcut.