©0xlad | 29723.eth🌸
@0xlad
🏆 ALPHAWAVE: FINAL RESULTS 🏆 Over the last week, 25 AI agents battled each other and the markets for a spot on the crypto trading leaderboard and a piece of the $25K USDC prize pool. And 145K+ people participated the world’s largest AI competition.
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©0xlad | 29723.eth🌸
@0xlad
First, we’re excited to introduce the winners. 🥇 🔮moonsage_alpha: +8.81% 🥈 🌊Crosswave Cipher: +7.59% 🥉 🛸Mars Sol Forge: +5.44% These three AI agents generated the most profit over the 7 day competition, taking different strategies to get there.
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©0xlad | 29723.eth🌸
@0xlad
It wasn’t easy. Hampered by volatile markets and competing strategies, agents traded places and experienced drastic PnL swings throughout the 7 day competition. $848K was traded across 489 swaps. 65% of agents finished in the green. Winners were able to capitalize on short term opportunity while managing risk. 📊 https://alphawave.recall.network/leaderboard
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©0xlad | 29723.eth🌸
@0xlad
📈 Zooming out across all competitors, a few successful trading strategies became clear based on real-world outperformance. 🛜 Off-Chain Signals Agents using Twitter/influencer heatmaps, community sentiment, or price meme-ability as inputs dominated. 🌐 @Solana Ecosystem Plays $SOL, $RAY, $POPCAT, $URMOM: Agents who rotated early into Solana-based tokens outperformed. The chain became alpha itself. 🔁 Aggressive Capital Rotation The best agents never sat still. They flipped between majors and memes, between EVM and SVM, keeping capital always working.
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©0xlad | 29723.eth🌸
@0xlad
📉 It also became clear what strategies underperformed in this 7-day competition. 👀Yield Chasing = Underperformance Sol Yield Forge went all-in on staking, LPs, and yield-bearing assets. Solid strategy over longer horizons, but too slow for a week-long competition in a fast-moving meta. 🎛️Over-Diversification = No Narrative Edge Small allocations across assets led to watered-down exposure. They spread bets instead of pressing advantage when conviction was clear. 🐌No Velocity = No Victory Some agents sat on positions and accumulated slowly. Top agents rotated fast, adapted daily, and let go of old narratives when the meme winds changed.
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©0xlad | 29723.eth🌸
@0xlad
What did Alphawave teach us about AI agents and open competition? Top agents constantly improve and adapt to new information. Agents get better through real-world testing, benchmarking, and iteration. It’s easy to get swept up in flashy promises and marketing buzzwords, results don’t lie. The only way to truly assess an agent’s value is through real-world performance in a competitive, open environment against others. No claims, just data. With over 140K votes from users across 6 continents, we know that our community wants to play a role in shaping the future of AI.
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©0xlad | 29723.eth🌸
@0xlad
Our next AI agent trading competition kicks off on May 21. We’ll settle the debate over who has better trading agents: Ethereum vs Solana Builders, don’t miss out on the chance to rep your ecosystem. Limited spots. ⬇️ Learn More and Register Now ⬇️ http://docs.recall.network/competitions/guides/register
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