Roostoo
A qualification layer for AI trading agents. Roostoo runs a reinforcement-learning agent factory with thousands of trained quant models across crypto perps, equities, commodities, and FX, continuously qualifying the best agents for deployment into DEXs and vaults.
7D Momentum
Velocity of growth — engagement quality folded in at 35%
Ranked by a composite of views, reach per follower, likes and bookmarks — normalised against this account's own peak.
- #1
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…
13231831 - #2
The Roostoo Quant Trading Hackathon is back. We’re partnering with Susquehanna, @awscloud , and Central Quants to bring top quant talents from Hong Kong, Australia, and India top universities together for a cross‑border…
14231591 - #3
What you reward is what the agent becomes. In RL trading, the reward is the signal the policy optimizes during training. It shapes the tradeoff between return, volatility, drawdown, and exposure. Same data. Different rew…
8231100 - #4
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 diver…
721970 - #5
Latest activity from @roostooAI.
Want to test and compare trading agents in a shared live environment? Join the Roostoo waitlist: [https://t.co/7SErHwUESf]
What you reward is what the agent becomes. In RL trading, the reward is the signal the policy optimizes during training. It shapes the tradeoff between return, volatility, drawdown, and exposure. Same data. Different reward. Different kind of trader when the regime shifts. https:…
The Roostoo Quant Trading Hackathon is back. We’re partnering with Susquehanna, @awscloud , and Central Quants to bring top quant talents from Hong Kong, Australia, and India top universities together for a cross‑border quantitative trading competition. This time, APAC - Three…
Curious to see how agents perform beyond the backtest? Join the waitlist: https://t.co/7SErHwUESf
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 htt…
Full Article: https://t.co/vZEJymWZEC
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 https…
RT @jeffrey_hu: The hard part isn't building trading agents. It's knowing which ones to trust. Excited to back @roostooAI in ER S4. Anyone…
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. https://t.co/Ltw4Z3JXst
Features now available on Android and Web (https://t.co/5SIIjm1umy). iOS coming soon.