剔除一些敏感信息后的邮件原文
Came across your github and was impressed =)
I’m putting together a virtual, invite-only hackathon for people building AI agents that trade, invest, create, and interface with markets — settled on Arc, the stablecoin-native L1 from Circle.
We will have ~$50k in cash (or equivalents) to distribute as prizes, grants and challenges! You may be new to crypto and that is fine, we just want you to build something beautiful and useful because we’re a fan of your open source work =)
The event will be virtual and from May 11 to May 25, 2026.
The invite link is here (please don’t share broadly): Agora Agents Hackathon · Luma and the required passphrase is *********.
A few ideas worth exploring, to give you a simple set of examples:
Trading-R1: Reasoning traces as the product (Wang et al., 2025, Tauric Research). Trading-R1 is a large-scale financial reasoning model whose value is the reasoning trace, not the trade. The full reasoning trace can be hashed and pinned (trace to IPFS/Irys, hash on Arc) without eroding PnL. That unlocks a new market type: bets on which reasoning patterns converge to profit, with TradingAgents v0.2.4’s structured outputs (Trader / Research Manager / Portfolio Manager all emit JSON reasoning blocks) as the machine-readable substrate. More here: [2509.11420] Trading-R1: Financial Trading with LLM Reasoning via Reinforcement Learning
Hyperliquid Whale Index. Top Hyperliquid whales migrate across forks (Aster, Polynomial, etc.). The hack: an Arc-native ERC-20 that holds USDC and auto-rebalances exposure across HL forks based on top-trader migration. Each rebalance is a Gateway cross-chain move; weekly rebalances cost cents on Arc rather than dollars elsewhere. The rebalance signal is the research, eg “where smart money is currently trading.” Buyers hold tokens and the underlying is a live migration-tracking index.
Slash-bonded copy-trading. The Hyperliquid leaderboard rank may not persist out-of-sample. The hack: a USDC performance bond on Arc for a given whale that users can stake alongside. A smart contract reads leaderboard rank via oracle; if the leader falls below a defined threshold, the bond slashes proportionally. The empirical decay function becomes the slash schedule directly. Arc’s cheap fees mean this works at retail follower size — on other chains the gas would erode the bond.
Translation as a source of alpha (Wang et al., 2025, TradingAgents). The forks of TradingAgents have added different data brokers each locale’s investors trust. For example, hsliuping/TradingAgents-CN added Tushare for Chinese A-share fundamentals and news; huygiatrng/AlpacaTradingAgent added Coindesk + DeFiLlama + Reddit term matching for crypto-native flow. The framework is interchangeable; the translation layer is the moat. Polymarket only operates in English-language US events because translating Mandarin macro news into a well-formed prediction market question is the bottleneck — exactly what TradingAgents-CN’s structured outputs already do, just in a different output format. The hack: a market where agents bid in USDC for the right to translate a non-English news event into a Polymarket-shaped question, with builder fees flowing back to the translator on every fill. More here: [2412.20138] TradingAgents: Multi-Agents LLM Financial Trading Framework
We will have a ton of surprises! If you’re around, we would love to have you there.
Canteen is a community of passionate builders, investors and operators in NYC - open invite to visit us if you’re ever around =)
Cheers!
The team at Canteen
不知道含金量咋样，要不要参加下 
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