Roostoo: Reinforcement Learning Agent Factory. Compete. Deploy the best agents into DEX. roostoo.com 🌐 Backed by @YZilabs

Architectures can be copied. A live trading track record cannot. In trading RL, the valuable dataset is the full trajectory: Observe market → act → reward Repeated across different market regimes, experimented with diverse agent configurations. This is where truly functional agent strategies are discovered - the ones that endure across market conditions.
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A backtest can be useful. It should not be why an agent gets funds. A profitable screenshot can be one lucky window. At @roostooAI you mint an RL trained agent, set its parameters, and enrol it in paper competitions. It competes with other agents on live prices. It builds a public record and ranking. You consider capital only after that record exists. A high rank is not a promise of profit. It is the record required before funds are even discussed. Full Article in CS
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Roostoo retweeted
The hard part isn't building trading agents. It's knowing which ones to trust. Excited to back @roostooAI in ER S4. Anyone can launch an AI trading agent now. Almost nobody can tell you which ones are good. Backtests are marketing, and the only honest test is out-of-sample performance in a live, adversarial market. Today the only way to run that test is to hand the agent real money and hope. @roostooAI is building the qualification layer in between. Agent Factory turns a strategy into an RL-trained agent without writing code. The Arena runs it against live market data alongside human traders and rival agents, ranked continuously on a leaderboard. Agents earn trust through performance before they earn capital, then graduate to DEXs and vaults. What convinced us: - Track record becomes the scarce asset. When agents are free to spin up, the bottleneck moves to credible evaluation. Whoever owns the ranking owns the allocation decision. - Failure should be cheap. Paper trading is the right place for a strategy to break. Roostoo makes that the default path to live capital instead of the step everyone skips. - The distribution already exists. Roostoo has run competitions with 300+ partners, from Jane Street, Optiver, IMC and Flow Traders to Imperial, NUS, HKUST and IIT Delhi. A standing pipeline of quant talent already competing inside their environment, and every competition produces labeled performance data. Agents are getting hands. What they still need is a reason to be trusted with the wallet. Prove it in the arena first.
LLM-based trading agents can be expensive and non-deterministic. The harder problem is identifying which strategies remain robust outside a backtest. @roostooAI is building a system to search at scale: > A reinforcement-learning agent factory designed to generate up to 1M agent configurations > Live competitions evaluate them; qualifying agents can then be routed into DEX venues and vaults The team reports 50K users on the pre-launch waitlist for its trading simulator. Catch @Edwardsolah at EASY Residency S4 Demo Day.
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21 bStock assets are now live on the Roostoo simulator. bStocks track selected US equities 1:1 and trade around the clock, giving you more markets to explore and more strategies to test. Live on Android, iOS, and web. Log in to experience it now.
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Shorting is now available on the Roostoo Simulator app 🎉 Before, you could only trade when you believed an asset would go up. Now, you can also test what happens when you believe an asset will go down. We’ve kept shorting at 1× to help keep the risk under control. And because you’re using mock capital, you can test different strategies without risking your real money. Log in to the app to experience it now
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Features now available on Android and Web (app.roostoo.com). iOS coming soon.
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Watch our cofounder @Edwardsolah at EASY Residency S4 Demo Day.
LLM-based trading agents can be expensive and non-deterministic. The harder problem is identifying which strategies remain robust outside a backtest. @roostooAI is building a system to search at scale: > A reinforcement-learning agent factory designed to generate up to 1M agent configurations > Live competitions evaluate them; qualifying agents can then be routed into DEX venues and vaults The team reports 50K users on the pre-launch waitlist for its trading simulator. Catch @Edwardsolah at EASY Residency S4 Demo Day.
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Trading agents are first-class citizens in the markets. They don't sleep, and they sync with the market real-time. Roostoo will become the trusted infrastructure to scale the trillion dollar market of agentic trading!
LLM-based trading agents can be expensive and non-deterministic. The harder problem is identifying which strategies remain robust outside a backtest. @roostooAI is building a system to search at scale: > A reinforcement-learning agent factory designed to generate up to 1M agent configurations > Live competitions evaluate them; qualifying agents can then be routed into DEX venues and vaults The team reports 50K users on the pre-launch waitlist for its trading simulator. Catch @Edwardsolah at EASY Residency S4 Demo Day.
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Roostoo retweeted
Wrapped up 5 weeks in Bhutan🇧🇹 with @yzilabs @EASYResidency Season 4. Also got to meet @cz_binance along the way🫡
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A new chapter begins.
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Big moment! First public demo of @roostooAI with @YziLabs. Watch live 👇 #RoostooAI #DemoDay
Live now from Thimphu, Bhutan: @EASYResidency Season 4 Demo Day 🟡 @cz_binance × @ellazhang516 fireside 🟡 YZi Labs agent demo 🟡 Alumni address @realyanxin + @RicaDixuanFU 🟡 Founders presenting what they built this summer nitter.net/i/broadcasts/1pKkOXMpO…
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👀
In two days, @EASYResidency S4 founders take the stage for Demo Day. 🇧🇹 This summer, we came to Bhutan — in the heart of the Himalayas — to build across stablecoins, payments, DeFi, AI, and beyond. Here’s a glimpse into the founders’ journey with YZi Labs.
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Our team in Bhutan, witnessing the beautiful rainbow in this beautiful country 🇧🇹
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We are building the agentic factory, where millions of RL agents compete on live markets → qualified agents will deploy capital in vaults and DEXs. Join the waitlist: roostoo.com
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You don't need to code. You need a strategy. Roostoo's Agent Factory turns that strategy into a live AI trading agent trained with reinforcement learning, tested against real market data, ranked on a leaderboard that surfaces up the best agents. If you want in before everyone else, link’s in the comments 👇
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