
Moderna is up almost 100%. Is this an overreaction?
Moderna is up almost 100% on positive phase 3 trial results. Is this an overreaction?

Moderna is up almost 100% on positive phase 3 trial results. Is this an overreaction?
Data centers generate continuous mechanical noise, including low-frequency sound and vibration from cooling systems and power infrastructure. Ranchers near facilities in Bell County and elsewhere in Texas report that these emissions, audible or perceptible to animals but often not to humans, disrupt cattle and goat behavior. Alton Fowler of Fowler Farms stated that the noise prevents breeding and causes grown cattle to lose roughly 30 percent of body weight; similar anecdotal accounts of stillbirths and altered resting patterns have been publicly shared by Clayton Tucker, Democratic candidate for Texas Agriculture Commissioner.
Structural pressures compound these localized claims. Hyperscale facilities compete directly for rural land, water, and electricity in agricultural regions. Texas lost approximately 1.8 million acres of working lands and more than 17,000 farms and ranches in the most recent five-year census period, with infrastructure expansion—including energy and data-center development—cited as a contributing factor alongside drought and consolidation.
Historical conversion of Texas working lands has accelerated. Between 1997 and 2022 the state converted nearly 3.7 million acres out of agricultural use, with the majority of the recent loss occurring in the last five years. Grazing lands, which dominate Texas agriculture, have declined steadily while average ownership size has increased, reflecting both fragmentation of smaller holdings and the exit of mid-sized commercial operations.
Net risk includes unverified but repeated reports of reproductive and health effects on livestock, documented competition for scarce water and power, and rising land values that push remaining farms toward sale. Oversight gaps persist: long-term peer-reviewed studies on low-frequency noise and EMF impacts specific to data-center operations on livestock remain limited, local permitting often lacks mandatory biological monitoring, and statewide moratorium proposals have not yet produced binding standards on noise, vibration, or cumulative agricultural externalities.
Sources
Temple rancher worries data center construction threatens family farm dating back to 1870s – KWTX
Quotes Alton Fowler of Fowler Farms on low-frequency noise from a nearby $700 million Rowan Digital Infrastructure data center preventing cattle and goat breeding and causing 30 percent body-weight loss.
How Data Centers Are Eating Up Rural Texas – The Austin Chronicle
https://www.austinchronicle.com/news/how-data-centers-are-eating-up-rural-texas/
Details Clayton Tucker’s family ranch background and his campaign focus on data-center competition for farmland, water, and power in Texas agriculture.
Texas Land Trends – Texas A&M Natural Resources Institute
Documents the loss of nearly 1.8 million acres of working lands and more than 17,000 agricultural operations in the most recent five-year period.
Ag census shows Texas lost over 17,700 farms – Texas Farm Bureau
https://texasfarmbureau.org/ag-census-shows-texas-lost-over-17700-farms/
Reports Census of Agriculture figures on the decline in Texas farm numbers and acreage between 2017 and 2022.
Rural Texas pushback grows over AI data center expansion – Austin American-Statesman
Covers farmer concerns over water, noise, heat, and lack of transparency regarding long-term effects of data centers on livestock and crop production.
Every month we pull the trailing 1-year total return for every stock in our universe, rank them by market-cap tier, and publish the top performers. No opinions, no "buy this now" — just what actually happened, sorted plainly.
Why we do this differently: Most "top stocks" lists mix timeframes, cherry-pick lookback windows, or bury the methodology. Ours is simple: trailing 1-year total return (price + dividends), split by cap size (large/mid/small), recalculated on the same day every month.
I thought when the share lock up period was over SpaceX was going to crash? What happened??
Most people who followed $CYDY remember March 30, 2021. The FDA publicly stated that CytoDyn's claims about leronlimab were "misleading and not supported by the data", no benefit was shown in COVID-19 treatment trials. The stock dropped 25%+ that day.
What happened afterward was a class action lawsuit covering investors who held $CYDY between March 27, 2020 and March 30, 2022.
A $500,000 settlement has been reached and terms are now submitted to the court for approval.
Who qualifies?
Anyone who held $CYDY during the class period and suffered losses from the alleged misrepresentations about leronlimab's effectiveness for HIV and COVID-19.
Can I still apply?
Yes, you can submit your application now and it will be processed once claims filing officially opens after court approval.
If you were damaged by this don't forget to check your eligibility. GL!
The other 30% are lying 😏
The world’s biggest oil companies are sitting on a record amount of cash.
ExxonMobil, Chevron, Shell, TotalEnergies, and BP generated nearly $70 billion in free cash flow in Q2 2026 the highest ever.
That’s up about 600% from the previous quarter.
Their combined net income also jumped 160% year over year to $47 billion, the third-highest level on record.
Big Oil is building a massive cash pile as the Iran war keeps energy markets on edge.
https://x.com/kobeissiletter/status/2088774488246898836?s=46&t=ytOPz0L0lUrPC0\_-PiYleg
NVDA trade card · OptionWhales daily thesis
At 11:17:01 ET on August 17, with NVDA trading at $227.27, two option orders printed in the same second, in matched size: 1,500 November 20, 2026 $240 calls bought at roughly $13.90 a share, and 1,500 of the $245 calls of the same expiry sold at roughly $12.10. Gross premium across both legs came to $3.9 million. The cash that actually left the account was $270,000 — $1.80 per share on a structure five dollars wide.
That last sentence is the whole trade. This was not a purchase of calls. It was the purchase of a bounded corridor: the buyer acquired exposure that begins at $240, about 5.6% above where the stock was trading, and stops dead at $245, about 7.8% above. Everything above $245 was sold away to help pay for it. The classifier flags the two legs as one package with 90% confidence, inferred from identical size and same-second execution. We cannot prove one account owns both — that inference is from the tape, not from a filing.
Our per-leg buyer/seller tagging on this print is weak — 10% confidence on each side, which is barely better than a coin flip. So the orientation is not established by the tape. It is established by arithmetic. The package cost money rather than paying money, and a 240/245 call vertical only produces a net debit in one configuration: long the lower strike, short the higher one. Had the legs been reversed, the same two prices would have generated a $270,000 credit. They did not. The debit is the evidence.
Both legs carry essentially the same implied volatility — 39.4% on the long leg, 39.3% on the short — and share the same November 20 expiry. Buying vol at one price and selling it at effectively the same price in the same month means the volatility exposures largely cancel. Whatever this position is, it is not a bet on Nvidia's option premiums getting richer or cheaper.
Direction is trimmed almost as hard. The long $240 call carries a delta of 0.452; the short $245 call, 0.411. Net, the package began life with about 0.04 of delta per spread — roughly 6,100 shares of stock-equivalent exposure, or about $1.4 million of directional footprint from $3.9 million of gross premium. The bias is upward, and that holds regardless of anything else in this article. But it is a deliberately small bias, bounded on both ends by design.
That is why the payload's "non-directional" intent label deserves scrutiny rather than repetition. A call debit spread leans bullish. What is unusual here is how little directional exposure the trader retained for the premium committed.
Whether this opened a new position or closed an old one is not determinable. The reason is specific: prior-day open interest is known for both contracts — 12,737 at the $240 strike, 9,078 at the $245 — and both figures dwarf the 1,500 lots traded. When existing interest is that much larger than the trade, the volume could have been created or extinguished inside it, and the open-interest print cannot distinguish. Zero percent of this package sits in legs that can be signed either way, well below the threshold we require to characterise a position.
The directional lean does not soften because of that. A bounded long-call structure is bullish-leaning whether it establishes a new view or unwinds an old one. What we cannot claim is motive. A hedge against a share position, a delta-neutral book, or a corporate exposure we cannot see would look identical on the tape.
Nvidia reports Q2 fiscal 2027 results on Wednesday, August 26, 2026, after the close — nine sessions after this print. The expiry sits 95 days out, meaning the position spans that report and, on Nvidia's historical calendar, plausibly a second one in November; the Q3 date was not confirmed at the time of writing, so treat that as unresolved rather than assumed.
The day's discourse was about the durability of Nvidia's position against hyperscaler-designed silicon, framed by a Motley Fool piece published August 16 asking where each moat is strongest and what could weaken it. That is context, not causation. Nothing in the tape links this structure to that argument.
*This is analysis of publicly reported options activity, not investment advice. Options carry risk of total loss, and the intent behind any single trade is unknowable from public data.*
🟢 DHI: +$532K — new position
🟢 GOOG: +$8.42B (+658.3%)
🟢 GOOGL: +$8.82B (+45.2%)
🟢 DAL: +$1.32B (+44.0%)
🟢 M: +$90.1M (+141.8%)
🟢 LEN: +$269.3M (+29.8%)
🟢 NYT: +$42.7M (+3.7%)
🟢 LEN.B: +~$5.4M (+25.4%)
Even with the S&P 500 hitting fresh all-time highs, Buffett is still adding to his positions and betting on more upside in the stock market.