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CryptoSentinator v3: Intelligence & Quantitative Strategy Agent

@manuelaschrittwieserby Manuela Schrittwieser · Self-Employed

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CryptoSentinator v3 is an autonomous, multi-agent-based quantitative analysis pipeline that bridges the gap between sentiment surrounding digital assets and actual market microstructure. • How it works: Rather than relying on isolated social media discussions, the system employs a coordinated LangGraph workflow featuring four specialized agents (Scout, Analyst, Strategist, and Evaluator). These agents integrate live data — such as Binance perpetual funding rates and on-chain Total Value Locked (TVL) flows from DefiLlama — alongside cluster analyses of crypto narratives. This process generates verifiable market hypotheses for both tactical (24-hour) and strategic (7-day) time horizons. • Target audience: Quantitative crypto researchers, algorithmic traders in the Web3 space, and digital asset analysts seeking robust, data-driven insights — moving beyond the typical hype found among retail investors. • Core metric: The system includes an integrated backtesting engine (`backtest_history.jsonl`) that compares tactical predictions against actual market movements over a 24-hour window. This facilitates continuous calibration of the system’s success rate, with data from various sources synthesized in under 15 seconds.

Built withLangGraphPythonGemini 2.0Qwen 2.5GradioPlotlyDefiLlama APIBinance FuturesAI AgentsMulti-Agent SystemsCryptoQuantitative FinanceLangGraphOn-ChainGradio

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