Self-Tuning Multi-Agent AI Trading System 2026: 8-Source Signal Fusion & Kronos Model
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Updated
Sep 22, 2026 - HTML
Self-Tuning Multi-Agent AI Trading System 2026: 8-Source Signal Fusion & Kronos Model
Self-tuning multi-agent AI trading system. 8-source signal fusion, Bull/Bear/Judge debate on Claude Opus 4.7, Kelly + ATR position sizing. Python · Kalshi + Polymarket adapters.
Multi-agent crypto signal fusion for AI agents. 20 assets · 5 data dimensions · IC-learned weights · x402-payable · MCP-native.
Multi-source GNSS position fusion and anomaly-detection engine with a live web dashboard. Detects spoofed/jammed satellite signals using rule-based checks and computes trusted positions from healthy sources.
Geospatial pipeline built on Geospatial Activity Pipeline, with Kafka/PostGIS ingestion, PyTorch scoring, and a Streamlit console.
Intelligent Signal Fusion System for Cryptocurrency Trading via a Modular DAG - A sophisticated trading system using DAG architecture and LLM-powered decision making
AI system that identifies the interview candidate in real time using multi-signal fusion - name matching, behavioral analysis, transcript patterns, audio activity, and metadata cross-reference.
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