Note: We develop day-to-day usable technical indicator code based on widely accepted market principles followed by traders and investors. Our focus is on building structured, rule-based tools that help users analyze market movements with clarity and discipline. All indicators are provided strictly for educational and research purposes only. None of the tools available on this page constitute financial advice or a trading advisory model. We do not guarantee profits or promote trading as a path to overnight success. Financial markets involve significant risk, and users are solely responsible for their own decisions and actions when applying these tools.
Master institutional-style market structure analysis with this fully coded Smart Money Concepts research engine.
This system detects:
• Swing highs and lows
• Break of Structure (BOS) events
• Institutional Order Blocks
• Liquidity clusters
• Multi-timeframe bias (4H → 1H → 15M logic)
• Entry triggers (Mini BOS / Liquidity Sweep)
• Risk-managed backtesting
Built entirely in Python using pandas & numpy, this engine simulates historical trades with:
✓ Compounding risk model
✓ Win rate calculation
✓ Profit factor
✓ Drawdown analysis
✓ Detailed trade logs
This is NOT a signal generator and does NOT place live trades.
It is a research-grade backtesting framework for traders who want to study Smart Money Concepts quantitatively.
• Algorithmic traders
• SMC traders wanting data validation
• Quant learners
• Forex & CFD researchers