Hi everyone,
I’ve been working on a personal project to better visualize Smart Money Concepts (SMC). As a developer and trader, I wanted to create a tool that maps market structure more dynamically, and I’ve built a standalone application (C#/.NET) that simulates institutional logic.
The tool currently handles:
I decided to keep the project Open Source on GitHub because I believe in community-driven tools. I’m not selling anything; I just want to improve the algorithm with your feedback.

Current Roadmap:
Question for the experts here :Do you think the current BOS detection (shown in the GIF) is too sensitive for volatile pairs like XAUUSD? I’d love to hear your thoughts on how to filter out "fake" structures.
Looking forward to your suggestions!
Best regards,
Velmo
I’ve been working on a personal project to better visualize Smart Money Concepts (SMC). As a developer and trader, I wanted to create a tool that maps market structure more dynamically, and I’ve built a standalone application (C#/.NET) that simulates institutional logic.
The tool currently handles:
- Market Structure: Automatic BOS / CHoCH detection.
- Supply & Demand: High-probability Order Blocks (Bullish/Bearish).
- Liquidity Mapping: Identifying buy-side and sell-side liquidity.
- Imbalance Detection: Visualization of Fair Value Gaps (FVG).
I decided to keep the project Open Source on GitHub because I believe in community-driven tools. I’m not selling anything; I just want to improve the algorithm with your feedback.

Current Roadmap:
- [x] Market structure visualization
- [x] Order block detection
- [ ] Real-time MT5 Data Bridge (Under development)
- [ ] Multi-symbol alerts
Question for the experts here :Do you think the current BOS detection (shown in the GIF) is too sensitive for volatile pairs like XAUUSD? I’d love to hear your thoughts on how to filter out "fake" structures.
Looking forward to your suggestions!
Best regards,
Velmo