TapeVector

$QXL +19% Come on x fam hit that sub button to support this research 🤝 I’m finally settled at work, let the reply’s commence. Have a great Thursday. Love you guys, appreciate you all 🔥 Another quantum name quietly making moves while most traders are focused on the larger players. Quantum X Labs just announced the launch of an integrated quantum computing program combining its patent-pending CliniQuantum platform with its proprietary Quantum Error Correction (QECC) Decoder technology. This is a much bigger development than the headline suggests. The biggest challenge facing the entire quantum computing industry isn’t building more qubits. It’s making them reliable. Quantum computers are incredibly powerful but also extremely noisy and error-prone. That’s why error correction is considered one of the most important technologies needed to unlock true commercial quantum computing. $QXL is now integrating: • CliniQuantum clinical trial analysis platform • Proprietary QECC Decoder technology • Hybrid GPU + Quantum environments • Multiple quantum computing platforms The goal is simple: Improve computational fidelity and move closer to scalable fault-tolerant quantum applications. This positions $QXL as more than just another quantum hardware story. They’re building an end-to-end quantum ecosystem that combines hardware, software, AI, error correction, and real-world industry applications under a single platform. Most quantum companies are focused on one piece of the puzzle. $QXL is attempting to address the entire stack, from quantum processing and error mitigation to specialized algorithms designed for commercial use cases. One area that stands out is healthcare. Their CliniQuantum platform focuses on clinical trial optimization, predictive modeling, patient selection, and biomedical data analysis. Considering pharmaceutical companies spend billions annually on drug development and clinical trials, even small improvements in efficiency could create massive economic value. Recent developments continue to build momentum: • Launched 50+ qubit neutral atom quantum computer • Targeting thousands of qubits by H1 2027 • Recently partnered with IQCC and Quantum Machines for decoder testing • Expanded scientific and technical advisory teams • Now validating software and decoder performance across multiple quantum platforms The market opportunity here is enormous. If Quantum X can demonstrate measurable improvements in accuracy, speed, or trial optimization, it opens the door for: • Pharmaceutical partnerships • CRO partnerships • Government contracts • Software licensing revenue • Quantum-as-a-Service offerings What I want to see next: Benchmark results showing decoder performance improvements Named partnerships with pharma companies Commercial pilot programs Additional patent grants Progress toward the 2027 qubit roadmap Keep in mind this remains a high-risk, early-stage quantum company. Revenue impact from today’s announcement is likely minimal near term. Execution is everything. But the company continues checking important boxes and advancing toward a differentiated position in one of the highest-value use cases for quantum computing. $LASE $QTEX $APLD $NVDA $AAOI $UMC $QBTS $QUBT $IONQ $LITE $SIVE $ASYS $ADEA $RGTI $TE $BE Quantum sector momentum remains strong and $QXL continues to add catalysts. Definitely one to keep on watch.

$EOSE just turned a reservation into a real order. 👏 First PO under the 2 GWh Frontier Power USA agreement → the Redbird project, 100 MW / 400 MWh, four-hour storage for ERCOT, on Eos Z3 tech. Why it matters: this is the model working → developer relationships becoming committed capital becoming deployed assets. With this order EOSE has filled nearly 50% of the 1 GWh Bridgelink MSA, and there’s a 12 GWh pipeline behind it across ERCOT, PJM, CAISO and MISO. American-made, non-lithium, long-duration storage for a grid that needs four-hour dispatchable power now. The backlog is converting. 💪 Long $EOSE

$COHU +5% yesterday. Testing 26-year highs. DONT MISS X FAM Everyone talks about GPUs. Almost nobody talks about the companies making sure those GPUs actually work. $AEHR $TER $AMKR $FORM all getting attention in silicon testing bottleneck. Cohu ($COHU) sits in one of the most overlooked bottlenecks in semiconductors: testing, thermal management, inspection, and yield optimization. Some things that stood out: • Top-3 global semiconductor test handler provider with ~20-28% share of a $2.1B market. • Global leader in RF power amplifier testing used in 5G and automotive systems. • Roughly 14% share of the global test contactor/socket market. • ~60% of revenue comes from recurring sources including consumables, spares, services, software, and maintenance. Q1 2026: • Revenue: $125.1M (+29% YoY) • Orders: +57% YoY • Test handler orders: +54% • Inspection/metrology orders: +64% • Cash & investments: $489M Management raised FY26 growth outlook to 20-25%. The AI story is getting bigger too. Cohu increased expected HPC revenue to $80M-$100M in 2026 and expanded its AI/HPC addressable market estimate to roughly $750M. That’s a massive jump from prior expectations of just $25M-$30M. Why? Their Eclipse platform is designed for next-generation AI processors that generate enormous amounts of heat during testing. Their T-Core thermal systems provide the precision temperature control needed for AI accelerators, GPUs, and HPC processors where thermal issues directly impact yields. In May, they secured major Diamondx platform orders tied to Gallium Nitride (GaN) power devices being deployed throughout AI data center power infrastructure. Another overlooked catalyst: In 2025 they acquired Tignis for $40M. Tignis brings AI-powered digital twins, predictive maintenance, machine learning analytics, and yield optimization software that is now integrated into Cohu’s DI-Core platform. Instead of simply testing chips, they’re increasingly using AI to predict failures before they happen. This gives them exposure to both semiconductor equipment and semiconductor software. Meanwhile HBM demand continues ramping. Their NEON inspection platform is positioned around HBM3 and HBM4 production with AI-powered optical inspection, metrology, and yield analytics. The market still largely views COHU as a cyclical semiconductor equipment company. But the business is increasingly becoming an AI infrastructure enabler with exposure to HPC processors, HBM memory, GaN power systems, advanced packaging, factory AI software, and high-margin recurring revenue. Everyone knows $NVDA. Few are looking at the companies that test the chips, manage the thermals, inspect the memory stacks, optimize yields, and keep production moving. That’s where $COHU plays. A picks-and-shovels AI infrastructure name sitting underneath the semiconductor supply chain. $MRVL $ICHR $VECO $AMD $AAOI $POET $MU $AVGO $ONTO $LITE If management executes, the valuation gap between how the market views COHU and what the business is becoming may be the opportunity.

$SOFI at a key level, will it break or maybe it will go back and make an double top and then go lower. Nobody knows, maybe just the CEO. $FINX

$OSS breakout on news Contract announcements help hint hint Sam