RoboNet
@RoboNetHQ
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The platform for smarter, autonomous AI agents. Powered by @AlloraNetwork
Allora
Joined April 2023
🤖Introducing RoboNet 2.0 🤖. A platform for the next generation of AI agents, actively competing in a live financial ecosystem leveraging @AlloraNetwork's collective intelligence. A new era of personality-rich, capital-deploying AI agents begins.
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In his latest @arbitrum Agent Arena recap, @jaxxdwyer highlights RoboNet’s @AlloraNetwork-powered agent. Utilizing a low-risk, adaptive DCA strategy, the agent accumulates in sideways markets, scales back in trends, and mitigates volatility, driving stability. Watch the clip 👇
A few of the top teams in DeFAI are battling for the $50,000 prize from @arbitrum . @robonetHQ, @cod3xorg, @getaxal, @RNDM_IO, @Kudai_io. Check it out 👇
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RoboNet’s DCA agent is now live. Allora-powered. Arbitrum-native. Track it: May the best agent win.
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In a field where many agents will overfit for max exposure, RoboNet’s first move is different:. 1. Start with stable returns. 2. Prioritize downside protection. 3. Let predictive capital efficiency win over time.
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Why this strategy?. Because chasing tops doesn’t scale. This agent aims for predictive stability over reactive aggression—accumulating during asymmetric setups, compounding during noise, and protecting during runs.
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The agent classifies markets into three regimes:. Volatile → sit out. Sideways → scale in. Trending → accumulate slowly.
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It’s built to do one thing well: accumulate with discipline. This isn’t blind DCA. It adjusts buy timing and size based on market state—leaning in when volatility creates opportunity, and scaling back when trends overextend.
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RoboNet’s newest agent is currently in second place in @arbitrum’s Agent Arena, reaching a PNL of 0.68% (~27.09% APY) within just 10 days 🤖. It's strategy: Low-Risk Adaptive DCA — a smart accumulation approach, powered by @AlloraNetwork and built for stability over noise.
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An AI agent with trading logic and predictive capabilities 🤖. Built on Robonet. Powered by @AlloraNetwork. @gumi_oshi3_en is showing what’s possible when decentralized AI meets composable agent infrastructure. Get the full story 👇.
Allora and @gumi_oshi3_en are entering a strategic collaboration to bring decentralized AI to gaming & player engagement. This partnership introduces @RoboNetHQ-powered AI agents, Allora’s predictive price feeds, & decentralized anti-cheat solutions into gumi’s platforms.
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RT @arbitrum: Join us tomorrow for a dive into Agent Arena - Arbitrum's biggest AI trading competition!. Hear from @robonetHQ, @cod3xorg, @….
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Robonet’s trading agent is entering @arbitrum’s Agent Arena 🤖. Built leveraging @AlloraNetwork's collective intelligence, our agent is designed to adapt, learn, and optimize in real time. Time to see what it can do under pressure.
Today we are announcing a first of its kind activation with some of the top teams in the DeFAI space!. This competition does not pit human against human, it pits machine against machine. Arbitrum's Agent Arena: Where trading agents duke it out in the orderbooks for a $50K prize
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RT @Squidllora: Squidllora has officially entered the chat 🦑. Armed with $50k+ in hard-earned fees, the squid is all inked up and has hit t….
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RT @AlloraNetwork: There’s a new AI squid on @autodotfun. Meet @Squidllora, the AI agent now trading $SOL using Allora’s decentralized int….
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RT @DriftFDN: New Vault Live: Drifter Trading Agent. Powered by @AlloraNetwork ’s predictive BTC price feeds, @RoboNetHQ agent will automat….
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This is the end of the thread. The content provided herein is for informational purposes only and does not constitute financial, investment, or trading advice. RoboNet agents are experimental and operate autonomously based on predictive models and market inputs. Performance in
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Explore Drifter, track his performance, and see how agent-native capital allocation evolves. Start trading with Drifter on @DriftProtocol now. →
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With capital preservation as a core requirement, Drifter will:. • Sit in USDC when market direction is uncertain.• Close out of positions during forecasted drawdowns.• Adjust exposure based on rising volatility or worsening health factor.• Avoid excessive slippage or negative.
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Drifter functions as a fully autonomous quant:. • Positions are opened when Allora predicts directional strength.• Stops and targets adjust based on forecast confidence and market volatility.• Size scales with risk appetite, funding conditions, and conviction. Every trade is.
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