StockClaw is built around one persistent root agent. The root owns the conversation, decides when to use tools, and only spawns specialists when they add signal.

What It Does

Product Philosophy

• StockClaw is optimized for stock analysis first, not generic chat.
• The root agent stays responsible for the final decision and selectively spawns domain specialists only when they add signal.
• The system does not hard-code vendor-specific market-data structures into the business workflow.
• External data access is pushed to community MCP servers and skills, so the system can evolve without rewriting core trading or backtest logic.
• High-risk actions such as trading, config changes, and durable memory writes stay behind explicit tools and audited state transitions.

Specialists

StockClaw ships with a built-in specialist pool tuned for equity analysis:

• value analyst
• technical analyst
• news and sentiment analyst
• risk manager
• portfolio agent
• trade executor
• system ops

The root agent sees this pool, picks only the relevant specialists, and synthesizes the final answer.

Data And Extension Model

StockClaw is designed to avoid baking one provider into the core system.

• Market data, research data, and external integrations are expected to come from community MCP servers and skills.
• You can start with the built-in skills that ship in this repository.
• After StockClaw is running, you can either ask it to help install a new skill or MCP path, or you can add them manually yourself.
• In normal use, prefer asking StockClaw to install MCP entries and skills for you instead of hand-editing repository config files.
• The point is to keep the core system stable while letting data access evolve at the edges.

Example Use Cases

1. Backtest a Portfolio You Already Built

Imagine you have already set up a portfolio, but you do not know whether it would have held up over the last few trading days, and you do not want to manually gather data or analyze every move yourself.

That is exactly the kind of workflow StockClaw is meant to absorb for you. You can simply say something like:

Help me backtest this portfolio for 7 days.

Or:

Backtest my current portfolio for the last 7 trading days.

StockClaw can prepare the historical window, run the backtest flow, and return the result with trades, drawdown, and performance summary.

Caution

Keep backtest windows short unless you really need a long run. Longer date ranges consume much more token budget and tool budget, and the system may take significantly longer to finish.

2. Find Stocks Worth Studying

If you want fresh ideas instead of testing an existing portfolio, you can ask StockClaw to search for investable names and build a shortlist. For example:

Find a few US stocks with strong investment potential and build me a watchlist.

Or:

Find several stocks with good value, technical, and sentiment alignment.

In that flow, the root agent can search, gather data, and selectively use specialists to narrow the list into names worth deeper follow-up.

3. Deep Analysis on a Single Stock

If you already have one ticker in mind, StockClaw can go deeper instead of giving you a generic summary. For example:

Do a deep analysis on MSFT.

Or:

Analyze whether NVDA still has investment value here.

This is where the multi-agent structure matters most: the root can combine valuation, technical structure, sentiment, and risk views into one final synthesis instead of forcing you to stitch the reasoning together yourself.

Why This Layout

• One persistent root keeps ordinary chat continuity stable.
• Specialists are ephemeral and isolated, so analysis can be delegated without polluting the main session.
• High-risk operations stay behind tools and state stores, not free-form agent text.
• Backtesting stays reproducible because execution uses frozen state and T-1 constrained context reads.
• Telegram, restart handling, runtime reload, and cron automation stay in adapters and services instead of leaking into portfolio logic.

Quick Start

git clone https://github.com/24mlight/StockClaw.git
cd StockClaw
npm install
npm start

On first startup, the app guides local setup for:

• the single local LLM config file at config/llm.local.toml
• optional Telegram integration

If the local MCP config file is missing, the app creates an empty one automatically in the background. The setup wizard does not walk you through MCP server credentials.

For LLM setup, you can choose either path:

• let the startup wizard create config/llm.local.toml
• create config/llm.local.toml yourself from config/llm.local.example.toml

The LLM config uses a single OpenAI-compatible endpoint entry. The only required values are:

• model
• baseUrl
• apiKey

Timeout, context window, and compaction threshold use system defaults unless you add overrides manually.

Telegram is optional:

• choose no if you only want the Web UI
• choose yes if you want Telegram

If Telegram is enabled, the startup flow is:

1. Paste your bot token
2. Send any message to your bot in Telegram
3. Copy the pairing code from Telegram
4. Paste that code into the local terminal prompt
5. Type skip there if you want to finish pairing later

All generated config and runtime state stay local and are ignored by git.

You can also create the local files yourself and manage them manually if you prefer.

Default address:

http://127.0.0.1:8000

What It Loads On Startup

At runtime startup, StockClaw loads:

• local LLM configuration
• local MCP configuration
• installed skills
• prompts
• local memory files for persona, user preferences, tool usage, and investment principles
• persisted runtime state such as sessions, portfolio state, cron jobs, and backtest artifacts

Changes to config, skills, and prompts support watcher-driven reload.

Architecture

Core Flows

Historical Backtesting

The root agent can run backtests for:

• a single asset
• an explicit portfolio
• the current paper portfolio

Current backtest model:

• wrapper tools queue an async job and return immediately
• prepare discovers a usable historical data path at runtime
• the trading calendar is determined before execution starts
• each trading day runs in an isolated decision session
• day sessions can request additional historical context, but only through constrained backtest tools
• final results are pushed back to the originating session after completion

Telegram

Telegram is an extension, not the primary UI.

Supported behavior includes:

• local pairing approval
• slash commands for status and portfolio inspection
• reaction support
• file sending
• async backtest result delivery
• inbound text and non-text messages such as images and common media attachments

Current non-text inbound handling is metadata-aware:

• text and captions are preserved
• media-only messages are normalized into a usable request
• attachment summaries are passed into the root context

Context And Compaction

• Real provider usage is stored after each completed turn and surfaced in /status
• Context size and compaction thresholds come from local LLM configuration
• Compaction is the PI session compression step
• Flush is the pre-compaction durable memory write decision
• Cron jobs run in dedicated sessions so chat sessions stay small

API

Local State

License

StockClaw is released under the MIT License. See LICENSE.

(Charts above: Look at that insane upward hockey stick on MU – revenue and EPS estimates are going parabolic thanks to AI. Spot price trends don’t lie either!)So what the heck just happened?Nvidia just handed them the golden ticket
Micron dropped the bomb on Monday: Their HBM4 36GB 12H stack is now in full high-volume production specifically built for Nvidia’s next-gen Vera Rubin platform. We’re talking 2.8+ TB/s bandwidth and 20% better power efficiency than HBM3E. That’s the memory “brain fuel” every AI supercomputer is screaming for. No more “Will Micron get the big Nvidia orders?” – the answer is YES, and they’re shipping it RIGHT NOW.

(Visuals: That’s exactly how HBM stacks look stacked on the GPU – this tech is the real secret sauce behind why AI training costs are finally coming down.)The whole memory gang is partying
Western Digital, Seagate, and even the smaller players all hit fresh all-time highs the same day. Wall Street analysts who were yelling “memory cycle is peaking” six months ago? Yeah… they’re real quiet right now. AI demand for high-bandwidth memory is so stupidly strong that supply shortages could literally last into 2030.
Earnings season loading…
Micron reports next week and the Street is expecting another massive beat. Stock’s already up over 330% in the past year. This ain’t hype – it’s cold hard AI infrastructure reality.

Where does Micron rank now?#21 globally, top 20 U.S. companies, and #16 inside the S&P 500 by market cap. Intel who? Micron’s basically taken the old semiconductor throne using nothing but AI memory muscle.What this means for regular American investors like usAI isn’t some buzzword anymore – it’s a straight-up supply-chain gold rush. Whoever can keep feeding Nvidia wins.
The old “memory boom-bust cycle” is broken. HBM is now a permanent high-margin, must-have product.
Smart money move? Own the picks-and-shovels: MU, WDC, plus the fabs (TSMC, ASML) that make it all possible.

Look, the stock’s flying high so yeah, a pullback could happen any day. But if you believe AI capex keeps raining (and every CEO from Jensen to Satya says it will), this “memory supercycle” is still in early innings.What do you think, team?
Are you loading up on Micron and the AI memory crew, or sitting on the sidelines calling it a bubble? Drop your thoughts below – let’s debate this in the comments! Smash that and share with your investing buddies so they don’t miss the next leg up.
Next post: Full breakdown of Micron’s earnings + my favorite under-the-radar AI plays. See ya soon, America! (Data pulled from Yahoo Finance, CompaniesMarketCap, Micron IR – all as of March 17 close)

From a U.S. tech industry perspective, this launch solidifies Google’s position in the global generative AI race, closing gaps with top rivals and bringing enterprise-grade multimodal power to American developers, businesses, and research teams. It pushes AI past basic chatbot interactions into practical, professional use cases, accelerating smart adoption across healthcare, scientific research, tech development, and industrial design across the U.S. market.

For anyone outside Silicon Valley: GTC isn’t just a product launch. It’s the single most important event in AI infrastructure. Jensen Huang’s keynote is the main event, and every leak, rumor, and industry whisper points to this being one of the most consequential in NVIDIA’s history.

Why This GTC Changes Everything

We’re past the era of incremental GPU upgrades. The entire AI industry is hitting a wall: demand for compute is exploding, but power, cooling, and data movement bottlenecks are holding back progress. NVIDIA isn’t just launching new chips — it’s reimagining the full stack for the age of autonomous AI agents and large-scale foundation models.

• Next-Gen Compute Architecture: Expect the official reveal of NVIDIA’s next flagship AI chip lineup, built for extreme performance and efficiency. Rumors point to advanced process nodes, massive memory bandwidth, and designs built specifically for multi-agent AI workflows — not just basic inference or training. These aren’t just faster chips; they’re purpose-built for the AGI and AI agent era everyone is racing toward.

• Full Data Center & Agent Ecosystem: NVIDIA isn’t stopping at hardware. Look for announcements around AI agent platforms, unified compute fabrics, and silicon photonics to break through data transfer limits. We’ll likely see solutions for industrial robotics, autonomous systems, and enterprise-grade agent deployment — tying every piece of the AI pipeline together.

• Scaling for the Future: The biggest story here is accessibility. As AI agents move from labs to real-world use, companies of every size need affordable, scalable compute. NVIDIA’s announcements will lower the barrier for building and running complex AI systems, pushing the entire industry forward faster than we thought possible just a year ago.

What This Means for the U.S. Tech & Market Landscape

From a U.S. perspective, this GTC is more than tech news — it’s a competitive catalyst. The balance of power in AI infrastructure runs through Silicon Valley, and NVIDIA’s latest leap will keep the U.S. at the forefront of next-gen AI innovation. For investors, developers, and enterprise teams, this isn’t just about new hardware; it’s about a roadmap that will define spending, deployment, and product development for 2026–2028.

Every major cloud provider, AI startup, and enterprise tech team is tuning in live. The decisions and reveals this week will dictate who can build the next wave of AI products, scale intelligent systems, and stay ahead in a hyper-competitive global market.

Final Thought: We’re standing at the edge of a compute revolution. GTC 2026 isn’t just NVIDIA’s moment — it’s the moment AI finally breaks free from the limits of today’s hardware. If you care about the future of technology, this is the one event you can’t afford to miss.

Stay tuned to share.ng.cc for live takeaways and key announcements as GTC 2026 unfolds.

What Makes T1200 Carbon Fiber a Game-Changer (By the Numbers)

T1200 isn’t just a “stronger fiber” — it’s a generational leap in performance that unlocks design and efficiency gains no mainstream carbon fiber can match. Key specs confirm its elite standing:

• Tensile strength over 8,000 MPa: Roughly 10x the strength of standard steel, while weighing just 1/4 the density — meaning extreme load-bearing capability with massive weight reduction.

• 14% stronger than the previous top-tier T1100 grade: A meaningful jump in performance for applications where every ounce of strength and every pound of weight matter.

• Stable industrial output (100+ tons): No other country or producer has moved past lab-scale samples to consistent, large-batch manufacturing for T1200. Western and Japanese rivals remain stuck in development and low-volume testing, with no public timeline for mass production.

To put this in perspective: For U.S. aerospace contractors, defense manufacturers, and premium EV makers, access to T1200 means lighter airframes, longer range, higher fuel efficiency, and more durable structural components. Until this launch, that level of performance was either unavailable or prohibitively expensive for large-scale projects.

Why This Milestone Matters for U.S. Industry & Global Supply Chains

This isn’t just a materials science win — it’s a competitive inflection point that will ripple through American manufacturing, aerospace, and defense sectors for years to come.

1. A Break in the Traditional Western-Japanese Supply Monopoly

For nearly 40 years, a small group of Japanese and U.S. producers controlled the entire high-end carbon fiber market, setting prices, controlling lead times, and limiting access to cutting-edge grades for strategic industries. The T1200 mass-production milestone introduces a reliable, large-scale alternative for global buyers, breaking that long-standing grip and forcing established players to accelerate their own R&D and scale-up plans.

2. Cost & Availability Pressure for Next-Gen Programs

Ultra-high-strength carbon fiber has long been a “luxury material” — limited to small-scale, high-budget defense and space projects due to scarcity. With 100-ton annual output, T1200 moves from niche to accessible. For U.S. manufacturers, this creates two pressures:

•Cost downward pressure on existing high-grade carbon fiber (T700, T800, T1100) as buyers shift to the higher-performance T1200 at more attainable prices.

• Supply chain diversification urgency: Aerospace and defense OEMs will face growing pressure to qualify new fiber sources, reducing reliance on a small handful of traditional suppliers.

3. Strategic Applications Now Within Reach

T1200’s unique strength-to-weight ratio makes it irreplaceable for high-stakes, cutting-edge sectors:

• Commercial & military aerospace (lighter airframes, longer range, higher payload)

• Advanced defense systems (ballistic protection, missile components, unmanned systems)

• High-performance EVs & hypercars (chassis and structural weight reduction)

• Space launch & satellite structures (extreme durability in low-earth orbit)

• Industrial automation & robotics (rigid, lightweight arms for precision operations)

The Fine Print: Lab vs. Industrial Scale — Why 100 Tons Is a Big Deal

Let’s clear up a critical misconception: many companies can make T1200 in a lab. Western and Japanese materials firms have showcased small-batch T1200 samples for years, touting impressive lab strength numbers. But scaling to stable, repeatable, 100-ton industrial production requires mastering ultra-precise manufacturing, defect control at the sub-nanometer level, and consistent quality across full production runs — challenges that have stalled every other global player.

This milestone isn’t just about making a stronger fiber; it’s about proving that a previously unproducible material can be manufactured reliably and in volume. For procurement and engineering teams across the U.S., that means T1200 can now be specified in long-term product roadmaps, not just one-off prototypes.

What’s Next for the Global Carbon Fiber Landscape?

Expect rapid ripple effects across the industry in the next 12–24 months:

• Traditional leaders (Toray, Hexcel, etc.) will accelerate their T1200 scale-up efforts to protect market share, likely announcing accelerated production timelines.

• U.S. aerospace and defense contractors will begin dual-source qualification processes to add this new T1200 supply to their approved vendor lists.

• Price compression will hit the entire high-strength carbon fiber market, making elite performance more accessible for mid-tier projects that previously couldn’t afford it.

• Global competition in advanced composites will shift from pure R&D to scalable, cost-effective industrial production — a space where this new mass-production capability now holds a clear lead.

Key Takeaway for U.S. Manufacturers: This is not a “distant industry update” — it’s a supply chain and competitive shift that will impact product design, cost structures, and program timelines starting now. If your team works in aerospace, defense, high-performance automotive, or advanced robotics, T1200’s mass arrival should be on your immediate roadmap for material evaluation and supplier diversification.

In the world of advanced materials, true “game-changing” milestones are rare. The first-ever industrial-scale, 100-ton+ production of T1200 ultra-high-strength carbon fiber is exactly that: a moment that redefines what’s possible, reshapes global supply chains, and sets a new bar for the entire composites industry.

For U.S. manufacturers and supply chain leaders, the message is clear: The era of limited, exclusive access to top-tier ultra-high-strength carbon fiber is over. Adapt, diversify, and prepare for a more competitive — and more capable — advanced manufacturing landscape.

The Breakdown: What Each Chip Giant Is Hiking (and How Much)

Each company is targeting its core product lines, and the differences in scale and scope matter for U.S. industries. Here’s the straight scoop on the official increases:

• Texas Instruments (TI): The Steepest Hikes, Up to 85%
  As the undisputed global leader in analog semiconductors — a staple for U.S. industrial automation, automotive systems, and consumer tech — TI is pulling no punches. Price increases span its flagship analog chips, embedded processors, digital isolators, and power management ICs, with most falling between 15% and 85%. The new pricing applies to both direct OEM customers and distribution partners across North America, with no exemptions for long-term bulk buyers. For U.S. industrial firms and Tier 1 auto suppliers that rely heavily on TI’s legacy and high-performance parts, this is the single biggest cost hit in over a decade.

• Infineon: Automotive & Power Chips Up 5-15%
  A top supplier to America’s EV and traditional auto sectors, Infineon is raising prices on power management ICs, power switches, and automotive-grade semiconductors. Standard parts will jump 5-15%, with premium custom components seeing even steeper increases. The move hits directly at the booming U.S. electric vehicle, energy storage, and data center markets — segments already dealing with component shortages and production bottlenecks. Infineon’s team cited sustained, unmet demand as a core driver alongside rising operational costs.

• NXP Semiconductors: Auto MCUs Lead the Hike
  A cornerstone of U.S. automotive MCU supply, NXP confirmed its price adjustments covering automotive and industrial chips, without releasing an exact public percentage range. The company will update distributor pricing on March 30 to align with the April 1 effective date, mirroring the same cost and demand rationale as TI and Infineon. For U.S. carmakers scrambling to meet EV production targets and avoid inventory shortfalls, NXP’s hikes add yet another layer of cost pressure to an already strained sector.

Why This Is Happening: Two Unavoidable Forces Pushing Prices Up

These three giants aren’t just hiking prices to boost profits — they’re reacting to structural shifts that have been building across the global chip ecosystem, and the U.S. market is on the front lines.

1. Sky-High Input & Operational Costs Across the Board

Raw material costs for wafer fabrication, specialty chemicals, and advanced packaging have surged consistently, with no sign of cooling down. Energy costs for chip manufacturing facilities remain elevated, and global logistics, labor, and regulatory compliance expenses have eaten into margins that were already compressed during the 2024-2025 inventory correction. For months, these companies absorbed cost increases internally; now, they’re passing that burden to buyers, plain and simple.

2. Demand Rebound Leaves Supply Choking to Keep Up

After nearly two years of inventory destocking across tech and manufacturing, U.S. demand has roared back in 2026. American automakers are ramping EV production at a breakneck pace, data center builds for AI infrastructure are booming nationwide, and industrial automation investments are back on the rise. The problem? Chip manufacturing capacity expansion hasn’t kept pace, especially for high-reliability analog and automotive chips. Lead times are stretching again, and supply tightness has given these top players little incentive to hold prices steady.

What This Means for U.S. Industries & Consumers

This isn’t just a story for semiconductor buyers — it’s a story for every American industry that depends on microchips, which is nearly all of them.

Auto & Industrial Firms Face Margin Crunches, Possible Price Pass-Throughs

U.S. automakers, already battling battery cost volatility and supply chain snags, will face sharply higher component costs. While some large OEMs can negotiate temporary protections in long-term contracts, smaller manufacturers and Tier 2/3 suppliers won’t have that leverage. Expect compressed profit margins, delayed production runs, and eventually, higher prices for new cars, factory equipment, and even consumer electronics hitting retail shelves by mid-2026.

Supply Chain Stability Becomes the New Priority

For U.S. engineering and procurement teams, the days of chasing the lowest-cost overseas chip are fading fast. Instead, companies will prioritize consistent supply, shorter lead times, and supplier reliability over pure cost. This shift could open doors for smaller U.S.-based semiconductor firms specializing in analog and automotive chips, as OEMs look to diversify their supply bases and reduce reliance on a small group of global giants.

Critical Note for Buyers & Investors: These April 1 price hikes are NOT an April Fools’ joke — all three companies have issued formal, binding price notifications to partners and customers. While the semiconductor cycle is cyclical and prices could stabilize long-term if demand cools, short-term market volatility is all but guaranteed. For investors, avoid impulsive moves based solely on short-term price hike hype; focus on companies with resilient supply chains and diversified component sources.

At the end of the day, this coordinated price hike from TI, Infineon, and NXP is more than a quarterly cost adjustment — it’s a clear marker of where the global semiconductor market stands in 2026. Demand is back, supply is tight, and costs are non-negotiable. For U.S. manufacturing, the next few quarters will be about adaptation: finding ways to absorb costs, optimize supply chains, and keep production lines moving without passing too much burden to everyday consumers.

One thing’s for sure: the U.S. chip supply chain is entering a new chapter, and every industry leader needs to adjust their playbook — and fast.

Alongside the growth cut, Goldman Sachs raised its 2026 inflation and unemployment projections. The firm now expects the U.S. unemployment rate to peak at 4.6% in the fourth quarter of 2026, as higher energy costs and slower economic growth lead businesses to scale back hiring.

A growing number of economists are warning that a prolonged rally in oil prices could push the U.S. economy toward stagflation-like risks — a combination of slower economic growth and elevated inflation — a scenario not seen since the 1970s. Stagflation would create a difficult dilemma for the Federal Reserve, as cutting rates to boost growth could worsen inflation, while keeping rates high could further slow the economy.

For investors and households, the revised outlook means more cautious spending and investment decisions in the coming months, as the U.S. economy navigates a delicate balance between growth, inflation, and global geopolitical risks.

The primary driver of the widening deficit is surging net interest payments on the national debt, compounded by sustained high interest rates from the Federal Reserve’s prolonged restrictive policy. As the government pays more to service its debt, less funding will be available for other priorities such as infrastructure, social programs, and public services.

Economists note that a persistently large deficit can put upward pressure on interest rates, crowd out private investment, and leave the government with fewer tools to respond to economic downturns. The CBO’s report highlights the need for long-term fiscal reform, though immediate policy changes are unlikely amid current political and economic uncertainties.

• Headline CPI: +0.3% month-on-month, +2.4% year-on-year (unchanged from January)

• Core CPI (excluding food and energy): +0.2% month-on-month, +2.5% year-on-year

While inflation remains slightly above the Federal Reserve’s 2% annual target, the steady February readings suggest inflation is not accelerating rapidly for now. However, the oil market has emerged as a critical threat: Brent crude is projected to average $98 per barrel in March and April 2026, nearly 40% higher than the 2025 average.

This jump in energy costs has led major banks to raise their inflation forecasts. Goldman Sachs now expects the U.S. Personal Consumption Expenditures (PCE) price index — the Fed’s preferred inflation gauge — to hit 2.9% year-on-year in December 2026, a sharp increase from its earlier 2.1% projection.

To help stabilize domestic fuel prices, the U.S. Department of Energy has announced plans to release 172 million barrels from the Strategic Petroleum Reserve (SPR) starting next week. Retail gasoline prices have already jumped 22% month-on-month to roughly $3.58 per gallon, putting pressure on household budgets and raising concerns about broader consumer inflation.

Bond market pricing tells a similar story: interest rate swaps now price in just 24 basis points of total rate cuts for all of 2026 — less than one full standard 25-basis-point cut — a steep drop from earlier forecasts of multiple reductions throughout the year. Short-term U.S. Treasury yields have climbed in response, with 2-year yields approaching 3.70%, reflecting fading optimism for quick rate relief.

Fed officials have maintained a consistent cautious tone in recent public statements, emphasizing that persistent inflationary pressure, especially from rising energy costs, means monetary policy will stay tighter than previously expected. Most policymakers agree that cutting rates too soon could allow inflation to reaccelerate, making patience a core priority for the Fed in 2026.