One video promised viewers they could turn $50 into $187,000. It offered no risk warning. Another, filmed from the driver’s seat of a supercar, urged followers to buy five high-risk cryptocurrencies immediately, claiming returns were achievable even in a market downturn.
A third told its audience that holding AI stocks would make them millionaires, without mentioning that the S&P 500 is already heavily concentrated in the same technology names.
All three earned an F.
All three went viral anyway.
These are not outliers. They are the norm on Finance TikTok in 2026, and according to a study by DayTrading.com covering more than 20.7 million combined views across two separate review periods, the situation is measurably getting worse, not better.
The numbers
DayTrading.com reviewed ten viral finance and investing TikToks in September 2025 and repeated the exercise in April 2026, scoring each video across four categories: factual accuracy, risk disclosure, degree of oversimplification, and educational value. Every video was graded A through F in each category, with an overall grade assigned to reflect the severity of any failures identified.
The headline finding: in 2025, 70% of videos received an overall grade of C or below. By April 2026, that figure had risen to 80%.
The deterioration was sharpest in risk disclosure. In 2025, 30% of videos earned an outright F for failing to acknowledge the risks of the strategies or products they were promoting.
Six months later, that figure had doubled to 60%. Not a single video in either year earned an A for accuracy. In 2026, none reached an A for educational value either, only 20% made it as far as a B.
The videos reviewed across both periods collectively drew more than 20.7 million views. The study’s researchers cross-checked factual claims against regulatory sources including the SEC, FINRA, and FCA, as well as official company filings and established financial data.
What the worst videos looked like
The two lowest-scoring videos in the 2026 cohort were both crypto-focused. One promoted investment in a basket of cryptocurrencies on the basis of a supposed planned conversation between Barron Trump and Elon Musk, a claim presented with no sourcing, no caveats, and no disclosure of any kind.
The other promoted five cheap cryptocurrencies as a path to millionaire status within 365 days, delivered from behind the wheel of a supercar with the instruction to get involved “right away.”
Both earned an F overall. Both, the study notes, were built around the same structural playbook: a single unqualified claim, urgency language designed to override scepticism, and the visual language of wealth as a substitute for financial reasoning.
The 2025 cohort produced its own version of the same pattern. A video promoting leverage as “the fastest way to wealth” used fast cuts, bold captions, and luxury car imagery to pitch margin trading to a general audience, with no mention of margin calls, liquidation risk, or suitability. It earned an F. So did a video that combined urgent stock-buying instructions with breathless language about imminent market moves, offering no supporting data.
What the best videos looked like
The contrast with the highest-scoring content in the study is instructive. The top-rated video in the 2025 cohort, an A-minus, offered a factual breakdown of salary structures in finance roles. It made no investment recommendations, used verifiable data, and made no claims about future returns.
The second-best performer explained the mechanics of compound interest through a snowball analogy, animated charts, and a relatable example: what happens if you save the cost of a daily coffee over decades. It earned a B-plus.
Neither video went as viral as the F-rated content. That is the central tension the study identifies, and the most important thing to understand about how Finance TikTok actually works.
The algorithm problem
The study is careful not to frame this purely as a creator ethics problem. The platform’s incentive structure rewards the wrong things systematically.
Videos that performed best algorithmically across both review periods shared a set of common features: a single bold claim compressed into under 30 seconds, no qualifying language, urgency framing, and visual signifiers of wealth or authority.
Videos that scored well on accuracy and disclosure tended to generate lower engagement velocity, not because audiences are indifferent to quality, but because the algorithm surfaces content based on attention signals, not informational integrity.
The implication is that a creator who knows better faces a structural disincentive to do better. Accuracy costs reach. Disclosure undermines the confidence that drives shares. This is not a bug in Finance TikTok. It is how the attention economy functions when applied to financial content.
Olivier Wagner, founder of 1040 Abroad, a firm that helps individuals navigate complex cross-border tax and financial regulations, has seen the real-world consequences of this dynamic.
He described one case involving a group of young professionals who followed a TikTok video recommending offshore accounts as a tax loophole for US citizens. The creator had omitted the disclosure requirements governing such arrangements, including FBAR and FATCA obligations, and the viewers faced IRS penalties as a result.
The CFA Institute has documented the broader pattern: only around 20% of finance-related TikTok content containing recommendations includes any form of risk or suitability disclosure.
Regulators have noticed. The content got worse anyway.
In late 2025, Australia’s financial regulator ASIC reiterated warnings that financial advertising on social media can mislead retail audiences.
In January 2026, the European Securities and Markets Authority published a finfluencer factsheet specifying that paid promotions must be clearly disclosed and that claims must be “true, fair, clear and not misleading.” In March 2026, the UK’s Financial Conduct Authority flagged social media investing content as a growing vector for scams in its annual consumer investments report.
The April 2026 data shows the warnings had no measurable effect. Risk disclosure failure rates nearly doubled in the six months following these interventions. The study’s conclusion is direct: regulatory warnings are currently falling on deaf ears, not because creators are unaware of them, but because compliance with them reduces the virality of the content.
What this means for crypto specifically
Crypto content was the lowest-scoring category in both years of the study. The two F-rated videos in 2026 were crypto-focused. In 2025, the two F-rated videos also involved crypto and leveraged trading, the categories where the gap between what is being claimed and what regulators and market data actually support is widest.
This has specific implications for crypto media and the retail audiences that consume it. The retail investors most exposed to misleading FinTok content are often the same investors entering crypto markets for the first time, attracted by exactly the kind of urgency, upside framing, and celebrity adjacency that earned the worst grades in this study. They are also the least likely to have the financial literacy to identify what is missing from a 30-second clip.
The study does not suggest that crypto content cannot be responsible. It suggests that on TikTok, the incentive structure makes responsible crypto content systematically less competitive than irresponsible crypto content. That is a distribution problem as much as a content problem.
The bottom line
DayTrading.com’s Finance TikTok Report Card set out to test a simple question: is the financial content going viral on TikTok reliable enough to act on?
Across two years, two separate review periods, and more than 20 million views of combined content, the answer is consistent. It is not. Eight in ten of the most-watched finance videos in April 2026 failed to meet a basic standard of quality. Risk disclosure failures nearly doubled in six months. Not a single video in either year earned a top accuracy grade.
The loudest voices on Finance TikTok are not the most accurate ones. They are the most algorithmically optimised ones. For a generation that has increasingly replaced financial advisers, bank branches, and textbooks with a social media feed, that gap is not a content moderation problem. It is a financial literacy crisis being served at scale.