#GOLD #XAU/USD H2 #Indicator #Signal #Trading #GlobalOneAI

H.C. Wainwright maintains a Buy rating for Bitfarms $BITF but cuts the price target to $3.70.

Rebranding today as $KEEL Keel Infrastructure, the firm is pivoting to HPC and AI with 478MW of U.S. capacity. Analysts see 2026 colocation deals as the key rerating catalyst.

$BITF/USD H2 #Indicator #Signal #Trading #GlobalOneAI

BMO analyst Evan Seigerman reiterates an Outperform rating and $1,300 price target for $LLY Eli Lilly.

The firm highlights the $7.8B acquisition of Centessa $CNTA as a key driver to diversify the pipeline into neuroscience and sleep medicine.

$LLY/USD H2 #Indicator #Signal #Trading #GlobalOneAI

$CNTA/USD H2 #Indicator #Signal #Trading #GlobalOneAI

Introducing: the first AI agent that runs your paid ads. The future of paid advertising is autonomous.

pixero.ai

🚨do you understand what just happened..

you're going to start noticing it soon.. every ad on your feed.. made by an agent.. no human wrote the hook.. no creative director approved it.. no media buyer touched the budget..it just ran..

and the crazy part is the small brand running it is competing with companies spending millions.. same creative quality.. same targeting.. same optimization..

that gap that took years and hundreds of thousands of dollars to build..it's just gone..

Scientists just demonstrated light driven computing at 10,000 GHz over 100× faster than today’s processors.

Ultrafast computing breakthrough

In a new study, researchers showed that ultrafast laser pulses can perform logic operations in a 2D semiconductor called tungsten disulfide.

Instead of traditional transistors switching with electrical current, the system uses light to control electron valley states, a technique known as valleytronics.

By manipulating these states with femtosecond laser pulses (10⁻¹⁵ seconds), the team achieved logical switching frequencies above 10 terahertz.

For comparison, today’s processors operate at only 3–5 GHz 👀!

This experiment shows that future computers could potentially operate hundreds to thousands of times faster by combining photonics and quantum materials.

while still a laboratory demonstration, the research points toward a future of light driven computing far beyond silicon’s limits.

This is insane.

We always thought breaking modern encryption with quantum computers would need millions of qubits. But it might take just ~10,000.

Researchers just showed that Shor’s algorithm can run on far fewer qubits than expected by using smarter design, not just bigger machines.

They used neutral-atom quantum systems, better error correction (~30% vs ~4%), and more efficient circuits to cut down the requirements massively.

With this setup:

> 26,000 qubits could break elliptic curve encryption in days.
> 102,000 qubits could break RSA-2048 in a few months

It’s not about building huge quantum computers anymore, it’s about building them smarter.

And that makes this feel a lot closer than it should.

Acceleration is everywhere

After getting setup with an OpenClaw instance, everyone is wondering “what’s next”? What should I build?

And now we have a hassle-free way to use OpenClaw

KiloClaw is managed OpenClaw. You can provision an OpenClaw agent from the Kilo Dashboard, and use the same 500+ models and credits you use elsewhere in Kilo (for the coding agent, code review, etc).

Most importantly, OpenClaw’s main concern is security, not capability. Once an agent gets files, API keys, shell access, and chat accounts, the real risk is what happens when it misbehaves.

KiloClaw limits that blast radius by giving each user a dedicated Firecracker VM, isolated network, encrypted storage, server-side identity routing, and secrets decrypted only inside that VM. An independent 10-day review found no cross-tenant access path.

A fully managed way to run OpenClaw without dealing with servers, configuration files.

- Access 500+ AI models with Kilo Gateway. No vendor lock-in.
- Change models without redoing your workflows
- Check performance and pricing across providers
- Create agents that stay dependable as the model market shifts
- 1 Kilo account. Your current credits still apply.
- 0 markup on AI tokens. Same clear pricing.

The problem KiloClaw is solving is not what OpenClaw can do. OpenClaw already supports 50+ chat platforms, browser control, file management, scheduled automations, and memory across sessions.

The friction is the setup work around it, like installing dependencies, managing API keys, keeping the process alive, and redoing that work after updates.

KiloClaw packages that into a managed instance so the user gets the agent without the ops burden.

kilo.ai

github.com/Kilo-Org/kilocode

Massive day for Space.

DATA CENTER STOCKS HUGE BOUNCE

🟢 $NBIS - $103.76 (12.46%)
🟢 $IREN - $34.28 (8.41%)
🟢 $CRWV - $77.47 (12.03%)
🟢 $CIFR - $12.86 (7.07%)
🟢 $WULF - $14.42 (5.29%)
🟢 $ORCL - $147.11 (5.99%)
🟢 $APLD - $23.74 (15.55%)
🟢 $BITF - $1.95 (5.98%)
🟢 $WYFI - $11.91 (6.34%)
🟢 $HUT - $46.91 (9.81%)

🚨 NEWS: OpenAI just said it has closed a $122B funding round at an $852B post-money valuation.

with Amazon committing $50B and Nvidia plus SoftBank each adding $30B

The business claim behind that price is scale, with OpenAI saying it now makes $2B per month, has 900M weekly ChatGPT users, and more than 50M subscribers.

The most unusual term is Amazon’s reported $35B contingent piece, because that money depends on OpenAI either going public or reaching AGI, which ties a large share of the round to a future corporate event or a technical milestone rather than a plain cash close.

Another fresh point is structure, because OpenAI also raised $3B+ from individual investors through bank channels and is being added to some ARK ETFs, which broadens ownership far beyond the usual private-company investor base.

The financing also appears linked to commercial distribution, since Amazon’s investment comes with a cloud agreement to host and distribute OpenAI models for enterprise customers plus a revenue-sharing arrangement.

OpenAI says enterprise is already 40%+ of revenue, the API handles 15B tokens per minute, and Codex has passed 2M weekly users, which suggests the company is selling AI both as an app and as plumbing.

Since our post earlier today, the Washington Post published satellite imagery of the damage.

Khojir. Parchin. Hakimiyeh. Shahroud. Four key missile manufacturing complexes. Nearly every building along Shahroud's solid-motor production line > gone. Parchin's warhead facility > gone.

29 launch sites across the country confirmed hit.

Rubio read four objectives on live television. The satellites just showed three of them are done and the fourth is close.

He undersold it.

🤯 Jack Dorsey's $XYZ Block just laid out a plan to replace much of corporate hierarchy with AI coordination.

Middle management exists to coordinate work, but AI can now handle that instantly. There is no longer a need to move information up and down layers. Block is replacing hierarchy with AI systems, so decisions come from real-time data instead of meetings.

The old org chart exists because people are slow, narrow-band routers of context, so companies add managers to pass information up and down.

Block’s claim is that a company world model can track work continuously, while a customer world model built from transaction data can track what people and merchants actually need.

A sufficiently good company model can take over much of that routing function. In a remote-first firm where work already leaves digital traces, AI can, at least in principle, maintain a live picture of projects, bottlenecks, resources, and outcomes.

That lets an intelligence layer assemble financial capabilities like lending, payments, cards, and payroll into custom solutions at the moment demand appears, instead of waiting for a product roadmap.

The human job shifts from relaying status to building capabilities, owning cross-team problems as DRIs, and acting as player-coaches who improve craft and judgment.

The real bottleneck in big companies is not effort but coordination, and Block is aiming at coordination itself.

Money is behavior with fewer illusions attached. If you can see how customers and merchants actually spend, borrow, save, and repay, you are no longer guessing from survey answers or product roadmaps.

From that view, products become less central than capabilities. Payments, lending, payroll, or card issuance are modular parts, and intelligence is the layer that composes them when the model detects a real customer need.

$XYZ/USD H2 #Indicator #Signal #Trading #GlobalOneAI

Financial advisors realizing you can replace their entire career with 10 prompts

PERPLEXITY JUST TURNED INTO A FREE BLOOMBERG TERMINAL

You are wasting hours jumping between news, reports, and dashboards when Perplexity can pull market data, analyze companies, and surface insights in seconds. Now with these 10 prompts that feel like you’re sitting on a Wall Street trading desk.

Here’s how:

1/ The Pre-Market Intelligence Brief

This prompt does that in 3 minutes:

"Build me a pre-market intelligence brief for today. Cover: overnight futures movement and what's driving it, any significant earnings releases or guidance updates, macro data dropping today and consensus expectations, geopolitical developments with direct market implications, and the 3 sectors most likely to see unusual movement in today's session. Flag anything that contradicts the current consensus narrative."

The edge isn't information. Everyone has information.

The edge is having it synthesized before the open.