Since 1950, all 19 midterms followed by a 12-month S&P 500 measure from election-day close finished green; average return was 15.1%, and the worst was 1986 at +1.1%.
A normal 12-month S&P 500 stretch since 1950 averaged about +9.4% and was positive only about three out of four times, making post-midterm years unusually strong by comparison.
2018 is the closest analog: Trump in the White House, Democrats taking the House, the S&P 500 down 14.7% from election day to Christmas Eve, but still finishing the year up almost 12%.
The S&P 500 bottomed March 30 at 6344, then ran 23% to a record close of 7819 on October 6.
Since mid-August, the index has been boxed in between a 7800-7820 ceiling tagged August 13 and October 6 and a 7540-7550 floor held September 16 and again Monday; that floor is where it sat "right now."
The S&P 500 lost its 20-day and 50-day moving averages near 7700, and the October 30 drop came on the heaviest volume of the last month.
If the 7540-7550 floor breaks on a close, the next stop is the 200-day moving average at 7316, nearly matching the July 29 low and about 3% to 4% below current trading.
A full 2018-sized 14.7% drawdown from here would take the S&P 500 to about 6456, right on top of the March low at 6344.
On the upside, 7819 is the door level and 8000 is the magnet; a measured move using the 277-point base from 7819 to 7541 points to 8096.
The 1.618 Fibonacci extension of the March-to-October run lands at 8731, almost matching the 8713 average midterm-year level from election-day close.
The post-midterm setup is framed as: test the 200-day or flush toward the March low, then break the record and move toward 8700.
Democrats flipped governor’s offices in Texas, Georgia, Ohio, Iowa, and Nevada, and those wins are tied to a possible wave of state-level data-center restrictions.
Wells Fargo estimates Texas has 27% of planned U.S. data-center capacity, Georgia 7%, and Ohio 5%; NBC exit polls found 76% of voters did not want a new data center in their community and 86% were worried about utility bills.
A 13-state grid covering Pennsylvania, Ohio, and Virginia pays plants to guarantee enough power, and its price rose more than 11x in two years; a watchdog said 63% of one jump came from data centers.
A post-election moratorium push is tied to quotes from Abdul al-Sed on a "full on pause," Joselyn Benson on a moratorium and tax-break stop, Kesha Lance Bottoms on waiting until impacts are known, Gina Hin Josea on data centers "guzzling" water and electricity, AOC on a national moratorium bill, Jeff on protecting ratepayers, Rob Sand on full freight, Amy Actton on Ohio not being "up for sale," Josh Shapiro on strict standards, and John Fetterman on not handing AI leadership to China.
The claimed market implication is that state rules and slower approvals should raise data-center costs over the next two to four years, especially in Georgia and Texas, while Washington stays mostly non-decisive because Congress cannot act without Trump’s signature and Trump’s AI executive order left power lines, plants, permits, tax breaks, and siting to the states.
Microsoft, OpenAI, Amazon, Google, Meta, Oracle, and XAI already signed a White House pledge to pay for their own grid upgrades and power plants; Michael Intrur of Corweave said moratoriums shift where infrastructure gets built, not demand for it.
NVDA is framed as a beneficiary because it sells what goes inside data centers, not the data centers themselves; Meta is another winner because its big builds are in Louisiana, Ohio, and Texas and it can absorb power-line and plant costs, with a late-January 2027 capex number expected to surprise.
Applied Digital is framed as less exposed because its campuses are in North Dakota and it uses closed-loop cooling with very little water, while Corweave is the most exposed near term because much of its capacity is in Texas and it depends on other developers finishing on time.
Corweave’s Childress campus is already built and delivering a $9.7 billion Microsoft contract, owns its own substations, and a Texas pause is expected to hit new projects like Sweetwater while the Microsoft deal continues.
GO AI moved from OTC to NASDAQ on January 28, 2026; 2025 revenue was about $17 million, up about 83% from 2024, with about $8.1 million in net income, and first-half 2026 revenue was about $8.1 million.
GO AI’s EVA platform matches ad campaigns to individual ad spots, tracks which ads convert, and uses the results to improve the next decision, then spins that engine into Fast Quote, Eva Brain, EVA Sports Predict, Eva Defense, and EVA Farms Site.
Fast Quote was said on August 25 to be running at about $10,000 a day from debt consolidation loans and home security leads, implying about a $3.65 million annualized run rate, with revenue growing about 20% week over week and expansion planned into 50 more categories.
Eva Brain launched April 28, then signed a white-label deal with Domain Development Corporation on August 26; it lets visitors type what they want and can run ad campaigns on Google, Meta, and Tik Tok.
EVA Sports Predict launched October 27 with separate models for pro and college baseball, football, hockey, and basketball, and it outputs projected score, over/under probabilities, confidence levels, timestamps, and final-result tracking.
Eva Defense was formed in June, signed a 12-month $1.2 million development program with Boomerang in August for a sub-55-lb drone resilient to GPS and radio jamming, showed a low-noise prototype in September, met Army stakeholders and defense contractors at AUSA October 12-14, and targets 10 to 20 field-tested prototypes.
EVA Farms Site launched October 29 with vertical takeoff drones and AI that scan fields for disease, pest, crop-stress, and irrigation issues; revenue is planned through software subscriptions, per-acre monitoring, and drone-maker/operator partnerships rather than building every drone.
GO AI’s main risks are cash burn and dilution: it had about $2.2 million in cash at end-June after burning about $5.2 million in the first half of 2026, and filings say it must raise additional capital to remain a going concern.
The sponsored pitch ends on the claim that GO AI already has a revenue-generating ad engine and multiple live launches, but the stock can move violently on headlines and requires SEC-filing due diligence.