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2026-03-29-07:13: YUCLAW autonomous — signals+ZKP+brief
1 parent dab1577 commit 617db80

24 files changed

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docs/data/dashboard_state.json

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"last_updated": "2026-03-29T13:05:43.934700",
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"signals": [
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"ticker": "LUNR",
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"ticker": "KLAC",
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"regime": {},
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Okay, let me tackle this YUCLAW brief request. The user provided specific data points: LUNR, ASTS, and DELL all have STRONG_BUY ratings with positive percentages, and the regime is CRISIS at 90%. They want exactly three sentences covering market, opportunity, and action.
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First, I need to interpret the regime correctly. "CRISIS 90%" likely means the market is in a high-stress state 90% of the time, indicating extreme volatility or downturn. But the stocks are all STRONG_BUY with positive scores, which seems contradictory at first glance.
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Hmm, in crisis regimes, contrarian opportunities often emerge. The positive scores despite the crisis label suggest these might be oversold assets poised for rebound. The user's probably a quant who understands that crisis regimes can create mispricings - they'd expect the action to involve buying during panic.
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For the market sentence: I'll state the regime plainly but note the apparent contradiction (strong buys in crisis). Opportunity should highlight why these specific stocks fit - maybe their fundamentals or sector resilience. Action must be concrete: "initiate positions" since it's a quant fund, not vague advice.
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Wait, the percentages (+0.737 etc) are likely alpha scores. Higher = stronger signal. LUNR leads, so I'll mention it implicitly by leading with the highest score in action. Must
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The market is operating under a CRISIS regime with 90% probability, indicating heightened volatility and risk aversion. This environment creates a clear opportunity, as the strong‑buy ratings for LUNR (+0.737), ASTS (+0.687) and DELL (+0.674) suggest these stocks are poised to outperform despite the turmoil. Accordingly, consider increasing exposure to these three names while tightening risk controls on the rest of the portfolio.

output/darkpool/order_book.json

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