OptiNod Academy
Price Action / SMC
Browse all 9 parts in the Price Action / SMC series and start from the section you need.
Support and Resistance: Reading Zones Where Orders Stack Up
Support and resistance are zones where resting orders and trapped traders cluster. Treat them as areas, not single lines, and one brief break is less likely to mislead you.
Supply and Demand Zones: The Move Away Defines the Strength
A supply or demand zone is not strong because price stayed there for a long time. Its strength comes from how forcefully price left it. Focus only on fresh zones and enter on the first pullback.
Market Structure: Reading Trends with BOS and CHoCH
The prior low, or higher low (HL), determines whether a trend is still intact. A break above the prior high (BOS) confirms trend continuation, while a break below the prior low (CHoCH) is the first sign of a reversal.
Liquidity Sweeps — Targeting Clusters of Stops
Stops tend to build just beyond obvious highs and lows. When price pierces those levels and then returns, it can be a strong reversal signal. Use only sweeps that align with the larger trend.
Fair Value Gap (FVG): The Empty Zone Left by an Imbalanced Move
A strong one-sided move leaves behind an empty zone with little trading. Price often returns to that zone, and a fresh FVG can support the pullback.
Order Blocks: The Last Opposite Candle Before a Trend
An order block is the last opposite-colored candle before a strong trend move. The following break of structure (BOS) validates that candle, and the entry comes on the first pullback into a fresh block.
Fibonacci Retracement — Golden-Ratio Support and Resistance
Do not trade just because price reaches 0.382 or 0.618. Use the reaction at those levels to read trend strength.
Divergence — When Price and Momentum Disagree
Regular divergence has too many traps. Use only hidden divergence for trend-following entries.
Volume Delta — The Difference Between Aggressive Buying and Selling
Volume Delta measures the difference between aggressive buying and selling using aggressor-side classification, helping identify which side is building market-order pressure when price stalls.