Hunter Signal Lab: I Built a Lazy Morning Brief So I Could Sleep Instead of Staring at Charts

Description and use

Hunter Signal Lab automates liquidity event detection on crypto charts, producing concise briefs with snapshots so a student can review overnight events and sleep instead of staring at charts.

Problem

Finding liquidity events by eye in crypto charts takes hours, leaving no time for studies or sleep.

Outcome

The system automates liquidity event detection and generates concise briefs, saving hours of manual analysis and allowing the user to sleep instead of staring at charts.

Workflow

• 1. Fetch closed OHLCV candles via CCXT (no API keys).
• 2. Identify swing highs/lows and equal-high/equal-low liquidity levels.
• 3. Apply explicit rules to detect five event types (breakout, failed breakout, sweep, liquidity grab).
• 4. Generate SVG chart snapshots for each event.
• 5. Use Gemma (via Ollama) to write plain‑English briefs from the facts.
• 6. Present brief and snapshots on a React dashboard; export JSON if needed.

Evidence

Finding them by eye takes hours.

Source

It watches real crypto candles for me, finds liquidity events using fixed written rules, draws a small chart snapshot of each one, and writes a short plain‑English brief.

Source

The services use free hosting, which may sleep while idle. The first request after inactivity can take 30–60 seconds.

Source

The repo has a full README with the event rules, API table, configuration and known limitations. It also has 150 backend tests.

Source