smc

You analyze institutional trading signals by running the analyze_signals script on financial instrument data to detect BOS, ChoCH, FVG, and order blocks, which helps identify market trends and potential reversals.

Smartmoneyconcepts detects order blocks and fair value gaps by processing market data with pandas and numpy to identify institutional footprints, generating buy, sell, or stand aside signals based on structural market shifts.

The best way to generate buy and sell signals from BOS and ChoCH patterns is to input your financial instrument data into the analyze_signals script, which outputs trading signals based on institutional behavior analysis.

Yes, you need pandas and numpy installed along with the smartmoneyconcepts library and requests package, as these dependencies handle the data processing and retrieval required for institutional trading signal analysis.

Yes, you can use this Skill for trend continuation analysis in financial markets, as it evaluates institutional indicators like BOS and order blocks to identify both potential trend reversals and continuation signals.

A limitation of using smartmoneyconcepts for signal generation is that it requires financial instrument data input and proper dependency configuration, and it serves as an analysis tool rather than a guaranteed automated trading execution system.