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Smart Money Concepts analysis identifies market trends and reversals by detecting Break of Structure, Change of Character, Fair Value Gap, and Order Blocks. This approach applies institutional trading techniques to generate buy, sell, or stand aside signals for high-probability opportunities.

Break of Structure indicates trend continuation, while Change of Character signals a potential trend reversal. Both are institutional trading techniques used to analyze market structure, helping predict whether the current price movement will persist or reverse.

You generate buy and sell signals by applying Smart Money Concepts algorithms to market price data. The analysis computes institutional trading indicators such as Fair Value Gap and Order Blocks to output actionable trading signals for pairs like BTC-USDT.

Yes, detecting Order Blocks and Fair Value Gap requires the smartmoneyconcepts library. The analysis also depends on pandas and numpy for data manipulation and signal computation, plus requests for fetching market data.

Yes, pandas and numpy are required dependencies for computing institutional trading signals. They handle the underlying data manipulation and numerical operations needed to analyze market structure and calculate Smart Money Concepts indicators.

Smart Money Concepts analysis relies on historical price data to identify patterns like BOS and FVG. While it offers institutional-grade signal generation, technical analysis cannot guarantee outcomes, so signals should be used with proper risk management rather than as standalone predictions.