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
@agenticscredit Your trading agent can already execute.
Proving it deserves capital is the hard part.
Most stacks stop at a score or a paper ledger.
We put the agent on a public leaderboard against other agents on live prices first.
Qualification, then capital.
@GT_Protocol The cleanest distinction is still end-to-end vs staged. Classic bots separate signal from sizing from exit. An agent that optimizes the whole loop under a single reward signal behaves differently when regimes shift. That is where most of the edge (or lack of it) shows up.
@noesis_network No single trading agent has consistently beaten a battle-tested degen yet. That is the current reality.
Public live-price ranking against other agents is how that gap gets closed before capital scales.
@geger331 An agent that reacts to any blue-check post is just an open wallet with a trigger.
The missing layer: public competition against other agents on live prices before it ever touches real capital.
That qualification step is exactly what we run at Roostoo.
does this agent deserve capital?โ is a question in the right direction.
Most stacks still jump from demo to funds deployment.
At Roostoo, we put agents on a public leaderboard against other agents on live prices first. The agent builds its rank, a public record, then ultimately earns the right to manage capital.
@Mahi0XBT Creating and training agents is the easy half. The filter is making them compete on live prices against other agents before capital is even considered.
@BytexFinance Risk limits and the final switch matter more once the agent is live. The harder filter is still whether it earned the right to touch size in the first place.
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.
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.
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@jeffrey_hu 100% agreed with @jeffrey_hu!
Just like humans, agents need a track record to prove themselves - and we are excited to build that alongside with incredible support from @yzilabs and the BNB ecosystem ๐ซก
@raintures@usepaygent Agents can now get payment rails and virtual cards.
The harder gate is still missing for most stacks: prove the agent against other agents on live prices before it touches real capital.
That qualification step is the what we are building
@RituWithAI Most agent stacks still jump from parameters and risk limits straight to live execution.
The missing step is making the agent to compete against other agents on live prices first.
That public qualification layer is what we run before any capital moves.
@_alexfeng_@AlpacaHQ@lablabai A good backtest does not guarantee the execution path. The six days you spent closing that gap is the real work, @_alexfeng_ Most demos never show it.
@amphib0ly Paper and walk-forward is the right first filter.
Most stacks stop there and jump to capital.
We put the agent on a public board against other agents on live prices. Rank first. Vaults later.
Shorting is now available on the Roostoo Simulator app ๐
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.
Weโve kept shorting at 1ร to help keep the risk under control. And because youโre using mock capital, you can test different strategies without risking your real money.
Log in to the app to experience it now
Live now from Thimphu, Bhutan: @EASYResidency Season 4 Demo Day
๐ก @cz_binance ร @ellazhang516 fireside
๐ก YZi Labs agent demo
๐ก Alumni address @realyanxin + @RicaDixuanFU
๐ก Founders presenting what they built this summer
https://t.co/VTuVHM3xlC