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Corvus is learning to argue. Research Swarm is coming to V2. Pick up to four assets. A crew of agents takes the case from different angles: Market momentum. Fundamentals. Earnings. News. Stock Token activity. Liquidity. Risk. They make claims. The Critic challenges them. Agents defend the evidence or withdraw the claim. Then the Judge rules on what survives. And you watch the whole debate unfold. Observe → Research → Reason → Challenge → Decide Every figure traces back to the market evidence behind it. Corvus V2. Know what’s real.

The reply lands as a card first: x-folio-cost in micro-dollars, x-folio-balance after the hold. Then the Playground sends one line and writes both under the answer.

$ARCA is starting to open up a much wider market for its Agents $LLY is now live on the Secondary Market following $RBLX as the second asset available to trade This gives Agents another market to operate in and another opportunity to prove how their strategies perform under different conditions The expansion matters because the more assets become available, the more meaningful the competition becomes Curious to see what @Arcana_Arena is cooking next 👀 0xc00c26b09d602a04a83e6d7f8224affa3ecc4ca7

v1.2 is live. Every request sets aside its worst case before it runs and pays the real cost after. A request your balance cannot cover is refused before it is made. Your key cannot overspend. tryfolio.cloud/docs

Imagine you’re watching NVDA and it suddenly moves 4% in a day The first thing you see is the price, Then you start asking questions ~ Is NVDA already close to its 52-week high? ~ Is this move happening across both traditional and on-chain markets? ~ How does the Stock Token price compare with the exchange price? ~ What are the key metrics saying? Is there actual news behind the move or are you just reacting to a candle? Normally answering all of that means jumping between different tabs and sources $Corvus AI Analyst is built to bring that context together It gives you the context behind the move and the evidence supporting the analysis, helping you make sense of the data you’re already looking at 0x69fd9ed7504cabE1a961bBD0C347DB1aA579e7AE

Rare picture of what the next few months of q4 looks like. 👀

AI agents are only as useful as the credit powering them @tryfoliocloud is taking a different approach Connect it to Cursor or your CLI with one URL and one key With v1.2 every request gets a spend hold before it leaves the desk The maximum possible cost is reserved first, then replaced by the actual cost when the response lands If the balance cannot cover it, the request never goes through AI access with the spending logic built in $FOLIO is the ticker 🤝

ARCANA started with AI Agents that trade. Now they’re learning to manage capital. From verifiable reputation to ARCANA CAPITAL. this is where we are, what we’re building, and where Financial AI goes next. The machines are evolving. ↓

Every verified run earns points. +100 for the run +100 for your first run on a GPU model +250 if that model is still rare on the network +500 for your first run on the Genesis wafer Capped per day, so they can't be farmed. xcompute.pro

$ARCA is making it easier to see what happens after an AI agent makes a decision The new Portfolio page puts the agent’s capital activity into one clear view, from NAV and cash to open positions, realized performance and unrealized P&L You can also go through the full position history and see how the portfolio has evolved over time As AI agents take on more responsibility with capital, having a clear record of their actions becomes just as important as the returns 0xc00c26b09d602a04a83e6d7f8224affa3ecc4ca7

HOW TO USE ARCANA CAPITAL. Your Agent can now use NVDA as collateral, borrow USDG without selling it, and manage the position automatically through your mandate. You set the limits. The Agent manages the capital. Trading Agents are becoming Capital Managers. Quick walkthrough below. 👇 arcana-arena.com/me/capital

The RH ecosystem is definitely one worth keeping on the radar 👀 @CorvusTerminal makes it easier to dig into the market, onchain activity and the signals developing across the ecosystem. $CORVUS CA: 0x69fd9ed7504cabe1a961bbd0c347db1aa579e7ae

Loaded more $ARCA at this dip after bond again. $17k is a pretty cheap entry. Dev keeps shipping. @Arcana_Arena is solid.

One URL and your key. Paste this into Cursor. The address is tryfolio.cloud/api/mcp. The IDE fills in FOLIO_API_KEY. The CLI reads that same variable without the env wrapper.

ARCANA keeps shipping. The Portfolio page just got a full redesign. A cleaner view of every agent: → NAV → Cash → Open positions → Closed performance → Gas → Holdings + unrealized P&L → Full position history One place to see what your agents are actually doing with capital. Less noise. More visibility. Building the full lifecycle for financial AI agents, in public. View the latest ARCANA commit on GitHub : github.com/Arcana-arena/arca…

We’ve just permanently burned another 2% of the total $ARCA supply, acquired through our buybacks. This burn: 2% / $550 Total supply burned: 10% Approx. total value burned: $2,300 And we’re not stopping here. As ARCANA continues to grow, we plan to keep conducting periodic buybacks and burns. The idea is simple: use part of the value generated around the ecosystem to buy back $ARCA, permanently remove those tokens from circulation, and progressively reduce the available supply over time. Build the product. Grow the ecosystem. Buy back. Burn. 10% of $ARCA is now gone. Permanently. And the machines keep building. Verify on chain : robinhoodchain.blockscout.co…