Emerging Movers Detector v3.1 Tracks Smart Money market concentration across all Hyperliquid assets and flags assets accelerating up the ranks before they become crowded top-3 plays. By the time an asset hits the top of the SM leaderboard, the easy money is gone. This catches the trajectory. One API call per scan. Near-zero LLM tokens. Runs every 60 seconds. How It Works The SM Profit Concentration Leaderboard Senpi's leaderboard_get_markets returns all assets ranked by percentage of total Smart Money profit in the last 4-hour rolling window. This isn't trader count — it's where the money is actually flowing.

1 ETH SHORT 31.4% 286 traders

2 BTC SHORT 25.1% 436 traders

3 HYPE SHORT 24.2% 330 traders

...

36 ASTER SHORT 0.2% 18 traders ← 60s later: #13, 0.82%, 65 traders

The script tracks this leaderboard over time and detects acceleration. Detection Signals Immediate Action Signals (v3+) Signal Condition Priority IMMEDIATE_MOVER 10+ rank jump from #25+ in ONE scan Highest — act now NEW_ENTRY_DEEP Appears in top 20 from nowhere Very high CONTRIB_EXPLOSION 3x+ contribution increase in one scan Very high DEEP_CLIMBER 5+ rank jump from #25+ High Trend Signals Signal Condition NEW_ENTRY First appearance in top 50 RANK_UP Jumped 2+ positions in one scan CLIMBING 3+ positions up over several scans ACCEL Contribution % increasing scan-over-scan STREAK Consistently climbing every check VELOCITY Sustained positive contribution growth v3.1 Quality Filters These prevent false IMMEDIATE signals that looked great on rank jump alone but failed on execution: Filter Rule Rationale Erratic rank

5 rank reversals in history → erratic: true , downgraded Bouncing ranks are noise Velocity gate contribVelocity < 0.03 → lowVelocity: true , excluded from IMMEDIATE No momentum behind the move Trader count floor <10 traders → SKIP IMMEDIATE Single whale risk Max leverage check max leverage < 10x → SKIP Not worth the limited position sizing See references/quality-filters.md for implementation details and real-world examples. Architecture ┌────────────────────────────────────┐ │ Cron: every 60 seconds │ ├────────────────────────────────────┤ │ scripts/emerging-movers.py │ │ • Loads scan history from JSON │ │ • Fetches leaderboard (1 API call) │ │ • Parses top 50 markets │ │ • Compares with previous scans │ │ • Detects signals + v3.1 filters │ │ • Saves updated history │ │ • Outputs JSON with alerts │ ├────────────────────────────────────┤ │ Agent reads output: │ │ • IMMEDIATE alerts → evaluate now │ │ • Deep climbers → queue for review │ │ • No alerts → silent │ └────────────────────────────────────┘ Files File Purpose scripts/emerging-movers.py Scanner script emerging-movers-history.json Auto-managed scan history (last 60 scans) max-leverage.json Optional: asset max leverage reference Output See references/output-schema.md for the complete JSON schema. Key top-level fields: alerts[] , topMovers[] , immediateMovers[] , deepClimbers[] , scanCount , timestamp . Per-alert fields: asset , direction , rank , prevRank , contribution , traderCount , reasons[] , contribVelocity , isImmediate , isDeepClimber , erratic , lowVelocity . Cron Setup */1 * * * * python3 scripts/emerging-movers.py Agent Response Logic isImmediate: true + erratic: false + lowVelocity: false → Evaluate immediately for entry via Scanner isDeepClimber: true → Queue for next scanner run erratic: true or lowVelocity: true → Log but do not act No alerts → Silent Companion Recipes opportunity-scanner — use Scanner to deep-dive assets flagged by Emerging Movers autonomous-trading — full loop integrating Emerging Movers as entry trigger wolf-strategy — uses IMMEDIATE_MOVER as primary entry signal