sQuil

Decision-grade intelligence for researching and trading real-world assets on @RobinhoodCrypto

[sQuil @squil_finance]

Imagine Claude, but for Stocks/RWAs.

In other words, sQuil.

https://t.co/UrCxrPckjf

[sQuil @squil_finance]

POV: us cooking the next sQuil update.

https://t.co/UrCxrPckjf

[sQuil @squil_finance]

Update: sQuil Trade v0.2.0

Summon the agent without leaving the chart.

Open any listing — $NVDA , $AMZN , $TSLA — and call the agent right there.

Ask it anything and it answers from resolvers:
→ How a name has reacted to its last six earnings reports, in standard deviations of its own volatility
→ Which listing moved most today, and whether that move is actually unusual for it
→ A chart with volume and a full technical read — RSI, MACD, Bollinger, ATR — computed server-side

Much more is already in the cooking.

https://t.co/oGKJ0H1eHs

[sQuil @squil_finance]

The Robinhood Chain crowd is built different.

[Robinhood @RobinhoodApp]

The Robinhood Chain crowd is built different.

[sQuil @squil_finance]

Another update on sQuil dApp.

QUIL is now charted natively inside the dApp. And yes, we’ve also been quietly testing the in-dApp buy flow (including burn the token).

https://t.co/vK36phJdxe

This is one step in a wider expansion and our agent already resolves ~200 tokenized equities, reads earnings reactions across quarters, and computes its technicals server-side so no number on screen comes from a language model's arithmetic.

More surfaces are coming, sooner.

[sQuil @squil_finance]

Kindly reminder: sQuil is still v0.1.0

This isn’t the finished product, this is the starting line.

We’re cooking a lot more behind the scenes. If you hold QUIL, don’t just hold the ticker.

Use what’s being built: https://t.co/UrCxrPckjf

[sQuil @squil_finance]

Agentic trading gets a lot more interesting when the agent actually has context and tools call, not just a chat bot. ✌️

We’re cooking in the same direction for tokenized equities.

Try now: https://t.co/UrCxrPckjf

[Robinhood @RobinhoodApp]

Options historical data is now live for agentic trading.

Pull price history on any contract, track how premiums moved over time, and trade with more context.

[sQuil @squil_finance]

Is it safe, sir? Yes, sir.

Your thread archive stays in local storage, we don't need your data for make our LLM brain smarter, sorry to say. 😄✌️

Access to the sQuil agent requires holding at least 500K QUIL

Try now: https://t.co/UrCxrPckjf

[sQuil @squil_finance]

We’re fixing the route to the sQuil dApp now from our landing page.

This is a quick correction. Access will be restored shortly, and we’ll confirm here the moment the route is live again.

https://t.co/UrCxrPckjf

[sQuil @squil_finance]

wrapped-quil:native is now live on @RobinhoodCrypto Chain.

CA: 0xd5fb1c070759630a9ef521aecad94c7a31fdb3c7

wrapped-quil:native brings decision-grade intelligence to tokenized RWA markets: pool depth, contract permissions, and a simulated fill before you sign.

https://t.co/VILWJjO5Et

[sQuil @squil_finance]

https://t.co/TfvgLkZxD9

[sQuil @squil_finance]

So here's ours, published rather than claimed.

So we built it the other way round, the numbers come from the market context and tools call, and the model only gets to interpret them.

[Miles Deutscher @milesdeutscher]

You guys have no idea how bullish I am on markets x AI.

One of the biggest opportunities of the next decade will be the practical implementation of AI in financial markets for the average person.

Billion-dollar opportunity.

For decades, real quantitative/automated/algorithmic trading was locked behind a wall. You needed a math or CS background, a job at a fund, or years of self-taught coding to gain a tangible edge.

That bottleneck is slowly disappearing.

Right now, anyone can describe a strategy in plain English and have Claude turn it into backtested Pine Script in minutes. Anyone can connect live market data through an MCP and build a personal research analyst that knows their exact risk tolerance and thesis.

Even T1 brokerages like Robinhood are implementing plug-and-play agentic trading.

You're doing yourself a massive disservice if you're not learning these tools.

[sQuil @squil_finance]

what happens when assets that used to move through banks and brokers can move through open networks instead?

that’s the bigger RWA story.

[sQuil @squil_finance]

The sQuil agent emits structured tool calls and the runtime executes them server-side, streams them into the ledger, then feeds verified outputs back into the loop.

Inside the sQuil agentic loop:
https://t.co/CGk4cZhU0l

[sQuil @squil_finance]

TradFi has the information, but a lot of it is hard to see. Onchain markets are open, but there’s a lot to dig through.

RWA sits somewhere in between. The information is there. The hard part is making sense of it.

[sQuil @squil_finance]

tokenized assets are easy to buy, but knowing what’s actually behind them isn’t.

sQuil Trade helps you understand the market before you trade, from liquidity and risk to permissions and execution.

do the research first, then make the move.

[sQuil @squil_finance]

gmgn