🚨 $GRRR – This chart is getting tight… and setups like this don’t stay quiet for long
Look closely:
• Long downtrend now compressing
• Higher lows starting to form
• Price pressing key resistance ($12.30–$12.50)
But here’s where it gets interesting 👇
RSI reset near 48 → room to expand
MFI pushing ~63 → money flow improving
OBV stabilizing → accumulation phase
TTM Squeeze ON → volatility about to expand
This is classic:
Compression → Expansion
If $GRRR clears this zone clean…
This can move FAST toward the mid-teens.
This is not the stage where you chase.
This is the stage where you pay attention.
Look closely:
• Long downtrend now compressing
• Higher lows starting to form
• Price pressing key resistance ($12.30–$12.50)
But here’s where it gets interesting 👇
RSI reset near 48 → room to expand
MFI pushing ~63 → money flow improving
OBV stabilizing → accumulation phase
TTM Squeeze ON → volatility about to expand
This is classic:
Compression → Expansion
If $GRRR clears this zone clean…
This can move FAST toward the mid-teens.
This is not the stage where you chase.
This is the stage where you pay attention.
🇨🇭 Global One SI - Prompt
$XNDU/USD H2 #Indicator #Signal #Trading #GlobalOneAI Globalone.ch #Prompt
$XNDU - Quantum meets Photonics 🔥
Photonics offers a promising platform for quantum computing owing to the availability of chip integration for mass-manufacturable modules, fibre optics for networking and room-temperature operation of most components.
However, experimental demonstrations are needed of complete integrated systems comprising all basic functionalities for universal and fault-tolerant operation.
Here we construct a (sub-performant) scale model of a quantum computer using 35 photonic chips to demonstrate its functionality and feasibility.
This combines all the primitive components as discrete, scalable rack-deployed modules networked over fibre-optic interconnects, including 84 squeezers and 36 photon-number-resolving detectors furnishing 12 physical qubit modes at each clock cycle.
We use this machine, which we name Aurora, to synthesize a cluster state entangled across separate chips with 86.4 billion modes, and demonstrate its capability of implementing the foliated distance-2 repetition code with real-time decoding.
The key building blocks needed for universality and fault tolerance are demonstrated: heralded synthesis of single-temporal-mode non-Gaussian resource states, real-time multiplexing actuated on photon-number-resolving detection, spatiotemporal cluster-state formation with fibre buffers, and adaptive measurements implemented using chip-integrated homodyne detectors with real-time single-clock-cycle feedforward.
We also present a detailed analysis of our architecture’s tolerances for optical loss, which is the dominant and most challenging hurdle to crossing the fault-tolerant threshold.
This work lays out the path to cross the fault-tolerant threshold and scale photonic quantum computers to the point of addressing useful applications.
Photonics offers a promising platform for quantum computing owing to the availability of chip integration for mass-manufacturable modules, fibre optics for networking and room-temperature operation of most components.
However, experimental demonstrations are needed of complete integrated systems comprising all basic functionalities for universal and fault-tolerant operation.
Here we construct a (sub-performant) scale model of a quantum computer using 35 photonic chips to demonstrate its functionality and feasibility.
This combines all the primitive components as discrete, scalable rack-deployed modules networked over fibre-optic interconnects, including 84 squeezers and 36 photon-number-resolving detectors furnishing 12 physical qubit modes at each clock cycle.
We use this machine, which we name Aurora, to synthesize a cluster state entangled across separate chips with 86.4 billion modes, and demonstrate its capability of implementing the foliated distance-2 repetition code with real-time decoding.
The key building blocks needed for universality and fault tolerance are demonstrated: heralded synthesis of single-temporal-mode non-Gaussian resource states, real-time multiplexing actuated on photon-number-resolving detection, spatiotemporal cluster-state formation with fibre buffers, and adaptive measurements implemented using chip-integrated homodyne detectors with real-time single-clock-cycle feedforward.
We also present a detailed analysis of our architecture’s tolerances for optical loss, which is the dominant and most challenging hurdle to crossing the fault-tolerant threshold.
This work lays out the path to cross the fault-tolerant threshold and scale photonic quantum computers to the point of addressing useful applications.
Henry Paulson said that the US urgently needs to prepare an "emergency plan" in case of a decline in demand for government bonds. This moment cannot be predicted, but when it happens, the consequences will be "very severe".
The US government bond market is ~$31T and the foundation of the entire global financial system. It is from this market that interest rates on loans, mortgages, and other assets are formed, so any instability here quickly spreads to the entire global market.
➠ A vicious circle: the higher the national debt ($39T+), the higher the yield demanded by investors → the cost of servicing the debt rises → the deficit grows → the debt accelerates even more.
➠ In the extreme case, the Fed will have to buy up bonds, effectively injecting new money into the system.
❓What does this mean for the crypto market:
➠ Potentially positive: a possible influx of money into BTC and Gold amid declining confidence in the dollar.
➠ But in the moment - pressure: rising yields, declining liquidity, and a sell-off of risky assets.
➠ A separate risk - stablecoins: the same Tether holds > $120b in US government bonds.
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THIS 8 MINUTE TALEB VIDEO EXPLAINS THE FORMULA THAT SEPARATES TOP TRADERS FROM BLOWN ACCOUNTS
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🇨🇭 Global One SI - Prompt
THIS 8 MINUTE TALEB VIDEO EXPLAINS THE FORMULA THAT SEPARATES TOP TRADERS FROM BLOWN ACCOUNTS
The AI race isn't about who has the best tech — it's about who finds sustainable monetization first. Execution > narrative.
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🇨🇭 Global One SI - Prompt
$OUST/USD H2 #Indicator #Signal #Trading #GlobalOneAI
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$OUST 🔥
The strategic acquisition of StereoLabs by Ouster (completed February 4, 2026) is one of the most compelling moves in the Physical AI space right now.
Far from a simple bolt-on, it creates the industry’s first unified sensing and perception platform, seamlessly fusing Ouster’s world-class digital LiDAR with StereoLabs’ proven AI-powered stereo vision, neural depth models, AI compute, and perception software.
The result is an end-to-end stack that lets machines truly sense, understand, and act in the physical world with unprecedented speed, accuracy, and reliability.
At its core, the combination solves the biggest pain point in robotics and autonomy today: fragmented sensor ecosystems. Customers no longer need to stitch together LiDAR from one vendor, cameras from another, and third-party fusion software.
Ouster now delivers synchronized, factory-calibrated data out of the box - high-resolution 3D LiDAR range and accuracy paired with StereoLabs’ ultra-low-latency RGB and neural depth from over 90,000 ZED cameras already shipped to 10,000+ customers.
Add in-house AI models (Ouster’s Neural Detect fused with StereoLabs’ Neural Depth trained on millions of real and simulated images) and you get perception that is more robust than either technology alone, especially in dynamic, safety-critical environments like humanoid robotics, industrial manipulation, warehouse automation, and smart infrastructure.
The deal instantly expands Ouster’s total addressable market across high-growth verticals while opening cross-sell opportunities to StereoLabs’ established developer community and customer base.
Early proof points are already here: just days ago, Ouster launched the Stereolabs ZED X Nano, a compact wrist-mount stereo camera purpose-built for robotic manipulation and imitation learning, further demonstrating how the combined platform is accelerating innovation and winning new sockets in industrial and robotics markets.
Financially and strategically, the transaction is exceptionally well-structured - modest cash consideration plus equity, with StereoLabs operating as a high-growth, EBITDA-positive subsidiary under its founding team.
It strengthens Ouster’s path to profitability, de-risks the shift from pure hardware to a high-margin, software-defined perception platform, and positions the company as the foundational provider in Physical AI at a time when demand for embodied intelligence is exploding.
The strategic acquisition of StereoLabs by Ouster (completed February 4, 2026) is one of the most compelling moves in the Physical AI space right now.
Far from a simple bolt-on, it creates the industry’s first unified sensing and perception platform, seamlessly fusing Ouster’s world-class digital LiDAR with StereoLabs’ proven AI-powered stereo vision, neural depth models, AI compute, and perception software.
The result is an end-to-end stack that lets machines truly sense, understand, and act in the physical world with unprecedented speed, accuracy, and reliability.
At its core, the combination solves the biggest pain point in robotics and autonomy today: fragmented sensor ecosystems. Customers no longer need to stitch together LiDAR from one vendor, cameras from another, and third-party fusion software.
Ouster now delivers synchronized, factory-calibrated data out of the box - high-resolution 3D LiDAR range and accuracy paired with StereoLabs’ ultra-low-latency RGB and neural depth from over 90,000 ZED cameras already shipped to 10,000+ customers.
Add in-house AI models (Ouster’s Neural Detect fused with StereoLabs’ Neural Depth trained on millions of real and simulated images) and you get perception that is more robust than either technology alone, especially in dynamic, safety-critical environments like humanoid robotics, industrial manipulation, warehouse automation, and smart infrastructure.
The deal instantly expands Ouster’s total addressable market across high-growth verticals while opening cross-sell opportunities to StereoLabs’ established developer community and customer base.
Early proof points are already here: just days ago, Ouster launched the Stereolabs ZED X Nano, a compact wrist-mount stereo camera purpose-built for robotic manipulation and imitation learning, further demonstrating how the combined platform is accelerating innovation and winning new sockets in industrial and robotics markets.
Financially and strategically, the transaction is exceptionally well-structured - modest cash consideration plus equity, with StereoLabs operating as a high-growth, EBITDA-positive subsidiary under its founding team.
It strengthens Ouster’s path to profitability, de-risks the shift from pure hardware to a high-margin, software-defined perception platform, and positions the company as the foundational provider in Physical AI at a time when demand for embodied intelligence is exploding.