@manuelaschrittwieser4
LLM Engineer & Tech Blogger, Founder, Self-Employed
1d ago · New project · Agents · Linz

Shipped: CryptoSentinator v3: Intelligence & Quantitative Strategy Agent

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.
CryptoSentinator v3: Intelligence & Quantitative Strategy Agent@manuelaschrittwieser/cryptosentinator-v3 · github.com/MANU-de/Cryptosentinator
AI AgentsMulti-Agent SystemsCryptoQuantitative FinanceLangGraphOn-ChainGradio

Comments2

  • @ryanallis
    Ryan Allis
    Founder of AI Lounge and SaasRise, helping founders reach $100M+ exits
    20h ago

    A running scorecard of every 24-hour call against what the market actually did is what crypto traders will ask to see first. Once beta users have a few weeks of that record, will you start charging them, and at what price?

  • @manuelaschrittwieser
    Manuela Schrittwieser
    Securing GenAl Systems via Red Teaming | Technical Writer & Blogger @NeuralStack | MS
    15h ago

    There are currently no plans for fees or a paywall model; the tool will remain freely accessible on Hugging Face and GitHub. If it were to evolve into a professional real-time signaling service or an API product in the future, I would consider traditional SaaS/freemium pricing. However, collecting data and user feedback is the top priority right now.

    What specific metrics would you ideally like to see on such a scorecard?

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