Master Smart Money Concepts, Order Blocks, and Institutional Order Flow with NISM-certified educator Sitesh.
Join SMC CourseSMC trading in India is a methodology that decodes how institutional players (banks, hedge funds, and large financial institutions) operate in the market. Instead of relying on lagging retail indicators like RSI or MACD, SMC focuses on pure price action, liquidity pools, and institutional order flow.
Market structure is the foundation of SMC. It dictates the overall direction of the market. Key components include Higher Highs (HH) and Higher Lows (HL) in an uptrend, and Lower Highs (LH) and Lower Lows (LL) in a downtrend.
Liquidity refers to areas on the chart where retail traders place their stop losses. Smart money engineers price movements to "sweep" this liquidity before reversing in the intended direction.
Specific candles representing institutional buying or selling pressure. A bullish OB is typically the last bearish candle before a strong upward move.
Also known as imbalances, FVGs occur when price moves so rapidly that it leaves an inefficiency. Price often returns to these gaps to "rebalance".
A Break of Structure (BOS) confirms the continuation of the current trend. A Change of Character (CHoCH) is the first sign of a potential trend reversal, occurring when price breaks the most recent significant swing high or low against the prevailing trend.
Even the best SMC trading course is useless without strict risk management. Common mistakes include over-leveraging, ignoring higher timeframe context, and chasing price without waiting for a confirmed CHoCH. We teach a maximum 1-2% risk per trade model.
The Indian derivatives market (Nifty and Bank Nifty) is heavily driven by institutional algorithms and FII/DII flows. SMC perfectly maps these institutional footprints, making it highly effective for Indian day traders and swing traders alike.
Unlike theoretical courses, Sitesh provides live market examples, backtesting frameworks, and 1-on-1 chart reviews. You will learn to identify high-probability setups in real-time.
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