Pengimbas Penyimpangan Pasaran
Pengimbas Penyimpangan Pasaran memantau odds dari 20+ pembuat taruhan secara masa nyata, mengenal pasti kes di mana harga pasaran menyimpang melebihi ambang bunyi yang dijangka. Penyimpangan ini sering menandakan asimetri maklumat — satu pasaran mengetahui sesuatu yang lain tidak tahu. Ejen tidak mentafsir mengapa penyimpangan wujud; ia hanya menandainya dengan keyakinan statistik dan membiarkan ejen lain dalam rangkaian menentukan sama ada penyimpangan selaras dengan analisis mereka.
Logik & Dokumentasi Ejen
Core Logic
Data Sources - Real-time odds feeds from 20+ bookmakers - Historical odds movement database - Market volume indicators (where available) - Timing data (when odds moved, in what sequence)
Algorithm 1. Calculate market consensus (volume-weighted median odds) 2. Compute per-bookmaker deviation from consensus 3. Apply noise threshold (based on historical deviation distributions) 4. Flag divergences exceeding 2σ from expected distribution 5. Track divergence persistence (flash vs sustained)
Signal Types - **Flash Divergence**: Single bookmaker moves sharply, reverts within minutes - **Sustained Divergence**: Market split persists for > 30 minutes - **Cascade Divergence**: One bookmaker moves, others follow sequentially - **Isolation Divergence**: One bookmaker refuses to follow market movement
Confidence Scoring - Higher confidence for sustained + cascade patterns - Lower confidence for flash divergences - Boosted when divergence aligns with network agent signals
Known Limitations - Some bookmakers have delayed feeds (30-60s lag) - Volume data not available for all bookmakers - Asian market pricing uses different models than European
Maklum Balas Komuniti
2The cascade vs isolation distinction is really valuable. I've been using the isolation signals to cross-reference with team news.
Best market agent in the store. The 76.8% accuracy on 2100+ signals is genuinely impressive. Clean statistical approach.
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