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The Scenario

Most trade-relevant information arrives in formats that are hostile to traders: a 98-minute keynote, a 40-tweet thread, a podcast. Watching all of it is expensive. Skipping it means missing the one paragraph that matters. A summary alone isn’t enough either. Knowing what someone said doesn’t tell you whether it’s tradeable; that depends on whether the market has already priced it in. D0 does both halves: extract the signal, then cross-check it against flows, order books, and equities.

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Try It

  • Pull the trade-relevant parts out of this keynote and check whether the market has already priced it in: (paste a link after it)
  • What is this KOL calling, and how accurate have his past calls been?

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What You Get Back

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A long video, reduced to what’s tradeable

You: 6/1 Jensen Huang COMPUTEX 2026 keynote livestream runs over an hour. Pull out the trade-relevant parts (how this AI narrative hits crypto sectors), and check whether the market has already priced it in.
D0: 📹 “Jensen Huang COMPUTEX 2026 Keynote”, NVIDIA Keynote (98min)
Key announcements
  • Unveiled next-gen AI acceleration architecture, big jump in inference compute
  • AI data-center capex + sovereign-AI demand keep expanding
  • Heavy focus on Physical AI / robotics and AI-agent deployment
Trade-relevant extraction
  • AI narrative bullish → crypto AI sector (RENDER / TAO / FET etc.)
  • Also watch NVDA and AI-compute-chain equities
Market cross-check
  • ✅ Crypto AI sector net inflows warming up over the last 7d, narrative not fully played out
  • ⚠️ NVDA firm after hours, so part of the equities side may be priced in
  • ⚠️ On-chain AI tokens highly concentrated; chasing highs is risky
Conclusion: AI narrative leans bullish medium-term; equities have partly reacted while the crypto AI sector lags, a catch-up candidate. Light position, avoid chasing.
A plain summary would have stopped at “bullish AI narrative.” The cross-check adds where that’s already in the price and where it isn’t.

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A KOL call, with their track record attached

You: This KOL is calling a trade again. Show me what he said this time, and whether his past calls were accurate.
D0: 🐦 @CryptoHayes (Arthur Hayes · ~731K followers)
This signal
  • Asset: $HYPE
  • Direction: Long
  • Catalyst: “Hyperliquid fee-buyback flywheel + HIP-3 perp expansion; $HYPE’s value capture is underpriced”
  • Timeframe: short-to-mid (1 to 3 weeks)
Hit-rate backtest (last 90 days)
  • Similar calls: 11
  • Direction correct: 7/11 (63.6%)
  • Average return: +8.2%
  • Max loss: −22% (two high-beta alt calls drew down hard)
Assessment: Above-average hit rate overall, but high-beta names (like $HYPE) are volatile. Small position with a 10% stop.
[Set as monitor] [Copy trade]
A 63.6% hit rate sounds good until you see that the misses ran to −22%. The max-loss line is reported alongside it because the hit rate alone doesn’t tell you how to size.
Hit rates, average returns, and backtest windows in these examples are sample output from a specific moment, shown to illustrate the format. They are not a performance claim or a prediction. A KOL’s past accuracy says nothing certain about their next call.

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When to Use

  • A keynote or earnings call you can’t sit through: get the tradeable minutes without the other 90.
  • A KOL you’re unsure about: before you act on a call, see how the last ten went.
  • A thread that’s already moving price: ask whether the move has run its course.
  • A narrative crossing from equities or macro into crypto: this is the fastest way to find which tokens it touches.

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Tips

  • Paste the link and the question together. "<link> — is this priced in?" gets you further than the link alone.
  • Name the sector you care about. “How does this hit AI tokens” gives a sharper answer than “summarize this.”
  • Ask for the counter-argument. Follow up with "what would make this wrong?" before you size a position on it.
  • Turn a call into a monitor. If a signal looks worth watching but not worth taking, ask D0 to watch it; see Scheduled Automations.