Robonet is the world’s first prompt to quant execution engine Build, test, and deploy automated trading systems. Try it out now
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Second to none @AlloraNetwork
We went live on mainnet 6 months ago.
Since then, Allora has become the inference layer powering 140+ partners across the onchain AI stack.
Here's a quick overview of Allora’ ecosystem growth so far this year 🧵
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Robonet x @BinanceWallet 🤝
We're excited to announce that Robonet is now integrated with Binance Wallet.
Autonomous, @AlloraNetwork-powered trading strategies, now accessible to millions of Binance Wallet users.
The future of agentic finance is here.
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we're live
come hang 👇
Best trading strategies for AI agents nitter.app/i/broadcasts/1YGNrrzRg…
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Join us tomorrow for a conversation with @Eterna_Hybrid on the next generation of AI trading agents
Tomorrow: Live Firechat with @RoboNetHQ
'Best Trading Strategies for AI Agents'
ai.eterna.exchange/workshops
June 9
4:00 PM CEST | 10:00 AM ET | 7:00 AM PT
• deterministic vs adaptive strategies
• market-aware AI agents
• Robonet’s AI-native quant stack
• lower taker fees for agents at scale
• lower token usage, higher efficiency
Trust the Signal.
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The next wave of trading won't be humans vs. humans. It'll be agents vs. agents.
Join our very own @0xGustas and the @Eterna_Hybrid team for a live session about AI-native quant strategies, execution, and scaling thousands of autonomous traders.
Best trading strategies for AI agents
Eterna Live Session @RoboNetHQ
June 9
4:00 PM CEST | 10:00 AM ET | 7:00 AM PT
Do deterministic approaches still count, or is AI trading more about understanding current market trends?
We will discuss rule-based strategies, market-aware agents, Robonet's AI-native quant stack, and how thousands of AI trading agents could benefit from reducing taker fees and limiting token usage
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We post weekly performance updates. We've never zoomed out and shown the full stack in one place — every venue, every signal source, every partner, and what we've actually learned running real capital through all of it. Here's that thread 🧵
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Partners we're building signal integrations with for Q3:
→ @Polymarket: crowd probability as a calibration layer
→ @Pacifica: intent-based execution routing
→ @InformationAgent: real-time information as regime detection input
Every partnership has a specific function in the stack. None of them are logos.
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What we've learned running real capital across multiple venues with real drawdowns: stack quality matters more than any single component. Good signal + bad execution underperforms. Clean execution + weak signal underperforms. All three layers have to be simultaneously high for the strategy to compound as designed.
Weekly updates. Monthly recaps. Everything public, including the bad periods. That's the standard autonomous vaults should be held to 👇
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The @rekt_gang AMA was not a normal AMA. These are people who have watched protocols fail, gotten liquidated, and analysed bridge drains in forensic detail. When you ask them about autonomous trading vaults, you don't get friendly questions. We found it more useful than any supportive session we've done 🧵
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Third question, the most important: 'Have you had drawdowns? Show us the bad periods.' Yes. The performance data is public and it includes the losing weeks — not just the good ones. Anyone showing you an autonomous vault with a smooth upward PnL and no drawdowns is either lying or hasn't been running long enough to have been tested.
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We came out of the rekt_gang AMA with two specific product changes we're shipping this quarter. Adversarial feedback from people who've been burned before is worth more than ten endorsements from friendly partners.
What's your biggest concern about autonomous vault products? Ask publicly — we'll answer 👇
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The Robonet x @Lighter Trading Competition has officially concluded!
Congratulations to the winners who traded their way to the top.
Full results and prize distribution details are live on Discord
Link to discord for more information: discord.gg/yKnEYrNHF
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