UNDER CONSTRUCTION Estimated launch date September 2026. Enjoy your summer.
UNDER CONSTRUCTION Estimated launch date September 2026. Enjoy your summer.
Bio: FAA Licensed Private Pilot (SEL/Rotorcraft) and retired Doctor of Chiropractic. With a 40-year legacy in systems engineering. From assembly programming on the Intel 8088 in 1984 to Win95 certification, I’ve tracked the evolution of computing since the DOS era. Today, I leverage that deep-stack technical expertise to optimize MSFS 2024 for peak fidelity and performance. Call sign: DeepSky, Based at KFFC. Peachtree City, GA.,USA.
have a good summer
Anthony's Stockroom is an Independent Educational Media Profile — Not a Broker-Dealer, Not a Registered Investment Advisor, or Not a Financial Institution.
Ticker Pre-Market Price Relative Change
Dr Anthony KRITKO
August 7, 2026
Macro Yield Surge & Ticker Options Risk Analysis: NVDA, CRWV, and SPCX
Daily Equity & Options Market Intelligence
NVIDIA (NVDA) Stock & Options Breakdown:
Buying Strategy: Buy more shares when the price drops slightly. Major tech companies are borrowing money to buy NVIDIA's chips, which keeps demand strong.
Buying Calls: Buy call options that expire in 30 to 60 days to profit from stock growth while leaving room for short-term market bumps.
Buying Puts: Use put options as safety nets (insurance) to protect against price drops caused by rising interest rates.
Options Activity: Stock price swings make short-term options trading attractive near major support prices.
Stock Stance: Buy on the dips. Large tech companies (like Microsoft, Google, and Amazon) are taking out loans to build data centers, which directly powers NVIDIA’s ongoing sales of AI chips and networking equipment.
Calls Strategy: Target medium-term growth. Buy call options expiring in 1 to 2 months that are priced slightly above the current stock price. This gives the trade enough time to profit from company growth without getting wiped out by brief market pullbacks.
Puts Strategy: Protect your downside. Use put option strategies (like spreads or collars) as insurance to safeguard your investments if high interest rates suddenly push the stock price down.
Options Dynamics: Watch for fast price swings. Because option prices remain active, quick spikes in trading momentum offer good opportunities for fast, short-term trades around key price levels.
Option 1:
CoreWeave (CRWV) Stock & Options Breakdown:
Stock Stance: Hold for now, or trade short-term price swings. Rising interest rates make their debt more expensive, but high demand for their specialized AI chips allows them to keep prices high.
Buying Calls: Use "bull call spreads" (a strategy where you buy and sell calls at the same time). This lowers your cost, caps your risk, and keeps you from paying too much for expensive options.
Selling Puts: Sell put options with a target price below $80–$85. This lets you collect cash upfront while agreeing to buy the stock at a discount if the price drops that far.
Options Dynamics: Expect fast and sharp price swings. When the stock starts moving in one direction, the options gain or lose value very quickly.
Stock Stance: Hold or trade short-term. CoreWeave has taken on a lot of debt to build out its infrastructure, so high interest rates mean higher borrowing costs for them. However, because demand for their specialized AI computer chips is so high, they can charge top dollar and protect their profits.
Calls Strategy: Limit your risk and cost. Option prices are high, so instead of buying regular call options, use a call spread (buying one call and selling another). This caps your total profits, but it keeps your upfront costs down and protects you from big losses.
Puts Strategy: Get paid to wait for a discount. Sell put options at a price below current support levels ($80 to $85). You get paid cash (premium) immediately for taking the obligation to buy the stock at that lower price if it drops.
Options Dynamics: Brace for fast moves. The stock is volatile. When it breaks out past key price levels, option values will accelerate rapidly in that same direction.
Option 1:
SpaceX Stock & Options Breakdown:
Stock Stance: A strong long-term growth investment. High interest rates make building out global satellite networks expensive, but their dominance in rocket launches and steady revenue keep them on solid ground.
Buying Calls: Buy LEAPS (options that expire 6 months to years out) to capture long-term growth without tying up as much cash as buying the stock outright.
Buying Puts: Use put options as insurance to protect your portfolio if the broader market drops or credit markets tighten up.
Options Dynamics: Short-term options react quickly to news headlines and sudden shifts in market mood.
Stock Stance: Buy and hold for the long term. Expanding global satellite constellations requires massive amounts of capital, and higher interest rates make borrowing more costly. However, their total dominance in rocket launches and reliable recurring income protect their underlying value.
Calls Strategy: Bet on the future with less upfront risk. Buy long-term call options (LEAPS lasting 6 or more months) so you can profit from multi-year growth while risking less total money if interest rates fluctuate.
Puts Strategy: Insure against market crashes. Buy regular put options as a cost-effective safety net to protect against broader stock market corrections or credit market freezes.
Options Dynamics: Expect news-driven price spikes. The options have moderate-to-high sensitivity to changes in momentum, meaning short-term contracts will jump or drop fast based on breaking news or general market panic.
Multi-Ticker Options & Position Strategy Summary
Ticker Equity Outlook Call Strategy Put Strategy Primary Options Risk Driver
NVDA - Strong Bullish 30-60 Day OTM Calls Protective Put Collars Valuation multiple compression via rising yields
CRWV- Volatile / Bullish Spread Bull Call Vertical Spreads Cash-Secured Puts High debt-servicing cost sensitivity
($80-$85)
SPCX- Long-Horizon Growth 6+ Month LEAPS Calls Long Put Tail Hedges Long-duration capital expenditure hurdle rates
Strategic Trading Conclusion
Final Summary
Overall Market Environment: Rising long-term interest rates are impacting these stocks differently, requiring unique strategies for each:
NVIDIA (NVDA): Strong business growth and heavy AI spending outweigh the pressure from rising interest rates. Strategy: Buy call options for growth, but keep protective puts active as insurance against market drops.
CoreWeave (CRWV): High debt and high volatility make standard options too risky. Strategy: Use defined-risk spreads (buying call spreads and selling lower-priced puts) to profit from high option prices without taking on unlimited risk.
SpaceX (SPCX): Massive long-term capital needs make buying the stock outright expensive or inefficient. Strategy: Use long-term LEAPS call options to capture growth, backed by selective put options to protect against market-wide interest rate shocks.
NVIDIA (NVDA): Because high customer demand and massive capital spending drive NVIDIA's success, the headwinds from rising interest rates take a backseat. Best approach: Prioritize calls to capture upward movement, while using protective puts during broader market pullbacks.
CoreWeave (CRWV): Their heavy debt load and high option price sensitivity mean you should avoid unhedged bets. Best approach: Use structured spreads to capitalize on expensive option pricing while strictly limiting your downside exposure.
SpaceX (SPCX): The sheer scale of capital required for long-term scaling makes short-term options less ideal. Best approach: Utilize long-term options (LEAPS) for efficient market exposure, paired with selective put hedges to insulate against broader economic and interest rate volatility.
Ticker Pre-Market Price Relative Change
Dr Anthony KRITKO
August 5, 2026
It is shaping up to be a highly volatile morning. As of 7:40 AM EDT, the pre-market is surging across the board, setting up a massive gap at the open.
NVDA $215.75 + 4.41%
QQQ $724.96 + 3.56%
SPY $774.50 + 2.22%
Real-time market data as of 9:35 AM EDT:
Ticker Current Price Change ($)Change (%)
NVDA $217.16+$5.22+2.46%
QQQ $725.81+$1.96+0.27%
SPY $776.10+$4.77+0.62%
Here is exactly where trackers are sitting right now:
Nvidia is the clear catalyst leading the broader indices higher. The stock is catching a massive bid this morning following two major developments:
TSMC Expansion: TSMC announced they are expanding their advanced AI chip packaging capacity. This directly addresses the CoWoS process bottlenecks, ensuring Nvidia can meet the surging demand for their Blackwell and future Rubin product lines.
SpaceX Partnership: SpaceX confirmed a new partnership to use Nvidia's latest architecture for their StarMind AI1 satellite compute payloads, putting datacenter-class computing into space.
This kind of aggressive pre-market move is exactly why moving the monitor away from hardcoded symbols was the right call. Because the script dynamically hits the Charles Schwab REST API to pull the newly active option chains before feeding those current strikes into the WebSocket stream, your CSV will seamlessly capture the volume threshold breaches as the order book shifts to these higher levels. You won't have to manually update a single strike code to catch the morning action.
Let's watch the Level 2 depth ladders closely as we approach the 9:30 AM open to see if this liquidity holds or if the early buyers get trapped.
Both of these developments point to the same massive trend: the race to scale AI compute is breaking beyond traditional terrestrial data center limitations, and Nvidia is powering the infrastructure on both fronts.
Here is exactly what is happening with SpaceX's orbital ambitions and CoreWeave's aggressive expansion.
SpaceX's StarMind AI1: Data Centers in Orbit
SpaceX and Nvidia are partnering to solve the two biggest bottlenecks for AI data centers on Earth: power grid constraints and the massive energy overhead required for cooling. Their solution is to launch the computing hardware into space.
The Hardware: The StarMind AI1 satellites will act as orbital data centers, utilizing Nvidia's advanced Vera Rubin GPUs and Vera CPUs. Each satellite boasts a 150 kW peak compute payload paired with massive 210 kW solar arrays.
The Cooling Advantage: By putting the chips in space, SpaceX entirely eliminates the need for energy-intensive liquid chillers, cooling towers, and fans. In the vacuum of space, heat simply radiates away freely, making the compute dramatically more efficient.
The Network: The processed AI data will be transmitted back to Earth using Starlink's existing high-speed laser communication network.
Timeline: SpaceX is targeting prototype AI1 launches for early 2027, leveraging the massive payload capacity of their Starship rocket to eventually deploy these nodes at scale.
Simultaneously, SpaceX is building out massive ground-based data centers exclusively using Nvidia technology, targeting an incredible 10 to 20 gigawatts of total compute capacity by the end of 2027.
CoreWeave: Dominating the Inference Layer
While SpaceX looks to orbit, CoreWeave is cementing itself as the backbone of distributed AI infrastructure on Earth. The recently public company (CRWV) is executing two major plays:
The $35 Billion Meta Deal: CoreWeave just expanded its AI cloud agreement with Meta by another $21 billion, bringing the total infrastructure commitment to roughly $35 billion through 2032. CoreWeave is deploying Nvidia's next-generation Vera Rubin platforms across multiple U.S. data centers to handle Meta's massive inference workloads. Because inference (actually running the AI models for millions of daily users) requires low latency, CoreWeave is building distributed data centers closer to end users rather than single, centralized training hubs.
Classified Government Contracts: On July 30, 2026, CoreWeave announced a partnership with Leidos to deliver secure AI cloud services directly to U.S. intelligence and defense agencies. CoreWeave's platform will run natively inside accredited Sensitive Compartmented Information Facilities (SCIFs)—meaning they are officially trusted to handle the government's highly classified AI workloads.
Anthony's Stockroom is an Independent Educational Media Profile — Not a Broker-Dealer, Not a Registered Investment Advisor, or Not a Financial Institution.
In a high-performance distributed network—comprising an AMD Ryzen 9 G17 (AgentX), an MSI Intel i9 (AgentY), and a Yoga Intel i7 (AgentZ)—visibility does not always equal accessibility. While Windows Network Discovery may populate device icons, internal security policies often prevent actual data transfer across different hardware architectures. This article explores the resolution of "System Error 1272," focusing on bypassing restrictive "unauthenticated guest access" policies to create a seamless, full-access environment for local AI processing and flight simulation.
Building a "local-first" data environment requires more than just physical connectivity. In our current configuration, we utilize a hub-and-spoke model where the MSI and LENOVO systems maintain full transparency, yet the ASUS Ryzen9 workstation often encounters a "closed gate" when attempting to read remote directories.
The core of this conflict usually lies within the Lanman Workstation parameters. Modern Windows iterations implement a strict secure gate that views non-domain guest attempts as a security risk. When Lenovo attempts to handshake with MSY or Lenovo, the system triggers a "1272" error, effectively halting the flow of model weights or simulation telemetry.
To resolve this, we must align three specific layers:
Service Synchronization: Ensuring Function Discovery Provider Host (FDPH) and Resource Publication (FDRP) are active across all nodes.
Policy Adjustment: Modifying the registry to allow AllowInsecureGuestAuth, permitting the Ryzen 9 to trust the incoming Intel data streams.
Credential Mapping: Utilizing the net use command to establish persistent, authenticated tunnels that survive system reboots.
True network synergy between diverse systems like the Asus Ryzen9, G17 and MSI i9 requires moving beyond default OS limitations. By manually configuring the secure gate and aligning NTFS security permissions with network sharing protocols, we eliminate the friction of "Windows cannot access" errors. The result is a robust, tri-node cluster capable of handling the high-bandwidth demands of modern simulation and distributed AI workloads without the interference of redundant security prompts.
The Web Page Post: March 2, 2026
ARCHIVE // MISSION LOG: 1985-01 (NIGHT MISSION)
LOCATION: New Orleans to Atlanta (Round Trip)
UNIT: Twin Turbo Commander
CARGO: Bank Priority Paper
TOPIC: The 1985 Line-of-Sight Test
It was 1985, and I was flying as a guest on a round-trip night run from New Orleans to Atlanta. The mission was moving Bank Priority Paper. While the Captain handled the flight, I brought along my own piece of the future: a Motorola handheld with a DTMF keypad. In those days, this was my secure gate to the telephone network.
Back then, if a pilot wanted to call home, they typically had to go through a radio-phone patch with a dispatcher. I wanted to see if my handheld could bypass that entire process.
Once we reached cruising altitude and cleared the noise of the controlled airspace, the Captain put the Commander on autopilot. With the workload down, I handed him the phone. "Let's see how far we can keep this signal locked," I told him.
From the pressurized cabin, thousands of feet above the dark landscape, the line-of-sight range was incredible. The signal hit the repeater with perfect clarity, far beyond what any ground-based user could achieve. Right there, in the middle of a cargo run, the Captain used that connection to "phone home" for the first time while on the job in the air. It was a direct, private handshake between the cockpit and the landline network.
By the time we touched back down, the lesson was clear: physics and the right hardware can bypass legacy systems. That diagnostic rigor is exactly what powers the CloudAsh AI Hub today.
Mayday Mayday Mayday
The Voice from Above
It was November 17, 1988. I was cruising at 6,500 feet, leaving Falcon Field behind and heading home. The air was smooth and the gauges were in the green—until the world disintegrated. The Continental engine didn't just quit; it began shaking the entire airframe like a paint mixer. The vibration was so violent it felt like the motor was going to pull itself from the mounts, and then, with a final, jarring shudder, it seized solid.
In an instant, the chaos was replaced by a terrifying, hollow quiet. I was now a 3,400-pound glider. I looked through the windscreen and saw the propeller had stopped dead, standing tall like a vertical wall of drag. I remembered the training: I reached for the ignition key and bumped the starter, just enough to nudge those frozen blades until they were level with the wings to find the least resistance.
Atlanta Center was in my ear almost immediately. They asked if I could try to restart the engine. I told them I’d give it a try, but as soon as it fired, the nightmare returned. It was shaking like a paint shaker again, just as violent as before. I keyed the mic and told them, "I'm going to have to shut it down if it continues like this—the vibration is too violent."
But before I could even reach for the mixture, the engine made the decision for me. It sounded like someone had thrown a massive crowbar into the machinery. There was a sudden, metallic Clank, and everything stopped dead. The engine was completely frozen; I couldn't even bump the propeller anymore. The mechanical debate was over.
The controller told me to turn to a heading of 140, saying the nearest airport was fourteen miles out. I looked at my altimeter, then out at the horizon. I didn't need a calculator; I had the math running in my head. I knew my aircraft. The probability for survival was much higher staying with the road than trying to stretch the glide those extra fourteen miles—I knew I couldn't make it.
As I was processing the physics, I heard the controller contact an airline captain who was cruising at altitude directly above me. The controller asked him for a second opinion—whether I should try for the airport or stick with the road I’d found. I waited, my hand on the yoke, for the verdict from the "heavy" above. The captain didn’t hesitate. "Don't worry," his voice came through the static, steady and sure. "Stay with the road."
That was all I needed to hear. I focused everything on that tiny, sun-bleached "pencil" of a road needling through the pines of Uriah, Alabama. The flight became a silent, rhythmic struggle. I pitched the nose down to maintain Best Glide speed. Because the engine had seized, I had zero hydraulic pressure. I reached for the emergency handle and began to pump. Each stroke was a trade-off of physical energy and mental focus—I was manually forcing hydraulic fluid through the lines, feeling the heavy resistance of the gear legs as they fought against the slipstream.
Finally, one by one, the three green lights flickered to life. The gear was down and locked. The stall horn began its low, haunting moan as I neared the canopy, but I kept the nose pinned. I wasn't just falling; I was going to fly this aircraft to a safe landing. The timber rushed up, the wings clipped the pines, and the world flipped.
When the dust settled and I was hanging upside down in the silence of the woods, I realized the math—and my arms—had held. I climbed out and made my way through the thicket to the edge of the road. I stood there, still vibrating from the adrenaline, and watched the first car drive right past me. He saw me standing there, but he couldn't see the airplane—the pines had swallowed it whole. He just kept going.
Then a second car came along. He passed me too, but then I saw his brake lights hit. An old man backed up slowly, staring at me as I stood there in the quiet Alabama morning. He rolled down the window and looked at the thick wall of woods behind me. To anyone else, it looked like a solid green line, but the airplane was right there, deep and disguised among the trees. He looked back at me with total confusion. "Did you just get out of that airplane?" he asked.
He took me to the nearest farmhouse, where we used the phone to contact the sheriff. The emergency services were already being dispatched; they had been keeping track of exactly where I was as I dropped off the radar.
A few hours later, I stood at that same spot with my flight instructor. He looked at the narrow strip of road, then back at the silver belly of the 210 resting on its back. "How did you get it in there?" he finally asked. He saw the state I was in and offered to fly the trip home. I sat in the right seat as a passenger, watching his steady hands on the yoke as we continued the journey on to Slidell, Louisiana. As we touched down in Slidell, he turned to me. "I'm going to give you a few days," he said firmly. "And then we're going to get back up in the air. Okay
From 256K Chips to a 64GB AI Flight Deck: The Architecture of a Mission
By: Dr. Anthony "Tony" Kritko
Some people may smirk when they hear "1984." They might give a light giggle and, under a distinguished disguise in their voice, say "fossil" as if they’re observing a relic in a museum. They couldn't be more wrong. I don’t think fossil; I think Architect. I am the Observer who understands the foundation they are standing on today. I’ve watched an "army" of modern developers refine our simulation world, but I haven't forgotten the roots that support it all.
The NASA Foundation: Line One
My education came from a mentor who was a NASA engineer—one of the men who put a man on the moon with code. He was a true genius, and the ultimate proof of that genius was that he could teach it. He taught me the "NASA way": dimensioning values to the exact character to save every bit of space.
Line 1 was always the Dimension (DIM) statement. He taught me that if you don't define your space first, you've already lost the mission. Efficiency wasn't a choice; it was survival.
The Chiropractic Pivot: The Speechless Moment
My mentor originally wrote my chiropractic billing program (the HCFA-1500 form) in GW-BASIC. It was a massive, multi-step process. I mastered the logic he taught me, and then I rewrote it into a single-screen masterpiece.
I used a FOR...NEXT loop combined with the LOCATE command to map the coordinates, utilized COLOR commands for clarity, and mapped the Up, Down, Left, and Right arrow keys for navigation. When I showed it to him in Florida and asked what else he would have done—he didn't recommend a thing.
The 40-Year Flight Path: From RAM Disks to 8K Realism
"My journey into high-performance computing didn’t start with a 'Buy' button; it started with a soldering iron and a handful of silicon. 40 years ago, at age 30, I was pushing the limits of the Intel 8088 and 286 eras. I remember the thrill of upgrading my 286 by hand-plugging 256K chips into an expansion card just to hit 4 Megabytes. By configuring that memory as a RAM Disk, I tasted 'instant' data speeds for the first time—flying through folders and files with zero latency.
Today, at Falcon Field (KFFC), I apply that same 'old-school' obsession with optimization to an Asus Ryzen 9 / NVIDIA RTX 4060 system. From 4MB of hand-installed RAM to 64GB of DDR5, the goal remains the same: Absolute, lag-free realism."
The Interactive Hub: A Distributed Multi-Laptop Network
To maintain a high-fidelity environment in MSFS 2024, I’ve engineered a networked cockpit that offloads critical data across three dedicated machines:
Primary Visuals (Asus Ryzen 9 / RTX 4060): Drives panoramic 8K visuals across triple 43-inch Smart TVs via 48Gbps Ultra-High-Speed HDMI.
The Navigator (MSI i9): A dedicated networked laptop running Little Navmap via fixed IP for real-time global mapping.
The FMC/GPS Interface (Lenovo i7 Touch): A third laptop with a touch-screen workstation for tactile, in-flight nav-corrections.
Spatial Audio & Haptic Immersion
Directional Comms (Right-Side TV): Radio and ATC communications are routed to the Right-side 43" TV to simulate a dedicated cabin speaker.
Engine & Airframe (LG Soundbar & Subwoofer): Handles dynamic engine rumble, allowing for precise Engine Sound Level Adjusting to feel the torque through the floor.
Tactile Feedback: Professional-grade Moza AB9 FFB cyclic, AY210 yoke, and Falcon anti-torque pedals.
The Technical Legacy
"The entire system is housed on a custom flight deck with a sliding 'pull-out' tech tray for the laptop for rapid-access maintenance. Whether I’m plugging in 256K chips or optimizing an 8GB RTX 4060 to drive a triple-screen array, the mission is the same: Absolute Realism."
The Acoustic Lab: The End Table Sound Chamber
In the late 90s, I wasn't just building code; I was manipulating physical sound. I took a Radio Shack Realistic slider control panel with echo intensity faders and bypassed the "standard" setup. I took the end table from my bedroom and converted it into a custom Sound Chamber.
By placing the speaker inside the end table and using the cabinet door as a physical baffle, I created a deep, "tunnel" echo that no off-the-shelf system could replicate. I was manually dimensioning the sound waves—adjusting the sliders with one hand and the cabinet door with the other—to give the audio the intensity a flight deck requires.
The Combat Zone Protocol: The Mark Hamill Era
While the rest of the world was transitioning to the Windows GUI, I stayed a step ahead by using the underlying DOS foundation. I engineered a single .bat file that controlled the entire launch. It triggered my custom sound chamber, delivered the voice announcement—"YOU HAVE JUST ENTERED THE COMBAT ZONE"—and then commanded Windows to execute the flight simulator.
By the time I was flying with Mark Hamill in Wing Commander III, the hardware finally matched the vision. For the first time, hits weren't just "raw blasting"; I saw glowing force fields ripple across the 3D hulls. Between my Radio Shack reverb and those glowing shields, I wasn't playing a game—I was living an interactive mission.