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Written By

James Barra

Written By

James Barra

James is an investment writer with a background in financial services. As a former management consultant, he's worked on major operational transformation programmes at top European banks. A trusted industry name, James's work at DayTrading.com has been cited in publications like Business Insider.

» James Barra Profile Page

Fact Checked By

Tobias Robinson

Fact Checked By

Tobias Robinson

Tobias is the CEO of DayTrading.com, director of a UK limited company and active trader. He has over 30 years of experience in the financial industry and contributed via CySEC to the regulatory response to digital options and CFD trading in Europe. Tobias's expertise make him a trusted voice in the industry, where he's been quoted in various media outlets, including Nasdaq, International Advisor, and London Loves Business.

» Tobias Robinson Profile Page

Updated

Sep 30, 2025

We regularly conduct research studies on key trends across trading and finance – running tests, crunching data, and uncovering insights. Find our latest reports into topics like the dangers of using AI for trading and how misleading TikTok is for investment information.

Our team of experienced analysts and traders also share their comments on industry events as they unfold.

Meme Index Tracking The Most Hyped Retail Stocks On Socials

• We built a proprietary Meme Index that tracks the 10 most talked about stocks on social platforms, including Reddit, YouTube, and TikTok.
• Each ticker gets a 0–100 rating which reflects how “hot” a meme stock is based on online chatter and engagement levels from our research.
• The Meme Index is updated monthly to reflect the fast-moving nature of investing discussions on digital platforms and reveals new names, the biggest risers and fallers, and spotlights topical meme stocks.
• Popular meme stocks that appear on the index include the likes of AMC Entertainment Holdings Inc. (AMC), GameStop Corporation (GME), and BlackBerry Limited (BB), though names can change monthly.

See the Meme Index for September 2025

Whether Investment Content On TikTok Can Be Trusted

• We reviewed the most-viewed finance and investing TikToks of September 2025 (255K+ total views), analyzing their claims against four metrics: accuracy, risk disclosure, oversimplification, and educational value.
• 70% of the videos failed to reach a B grade; risk disclosure was worst (30% scored F, only 10% earned A), and oversimplification was rampant (60% rated D or F).
• Accuracy came in around middle – just 20% earned an A, while 70% landed at C or below – and only 20% of videos achieved an A for educational value.
• The most common pattern was attention-grabbing oversimplification: “buy these three stocks now” or “get rich fast” messaging stripped away context like time horizon, diversification, or risk.
• Risk-free wealth narratives were commonplace: leverage and trading shortcuts were framed as guaranteed paths to riches, often without sufficient disclaimers or downside warnings.

Read the full report: Finance TikTok Report Card: 70% of Viral Investing Videos Misleading

The Most Dangerous AI Platforms For Trading

• Retail traders are increasingly using AI tools like ChatGPT, Claude, Perplexity, Gemini, Groq, and Meta AI for trading tasks, from checking stock prices to finding trade ideas.
• We ran 100+ trading prompts through popular AI platforms spanning six use cases (market knowledge, macro questions, live data, event summaries, trade advice, signal generation) and scored each model on accuracy, hallucination risk, misleading potential, overconfidence, and risk disclosure.
• Even the best model was unsafe for trading: ChatGPT scored 5.2/10 for danger but still gave misleading or incomplete answers in 6% of tests; Meta AI was riskiest at 8.8/10, often inventing data and giving high-confidence wrong calls.
• Live data was a major weakness: only Perplexity consistently returned current market prices; other models gave stale or fabricated figures without warning.
• Trading advice and signal generation were the most dangerous: 40% of outputs were confidently wrong or lacked risk disclaimers; some suggested trades with no stop losses.
• Misinterpretation was frequent: models misread the Fed’s tone, earnings releases, and chart patterns; technical setups were wrong in various tests and macro sentiment was sometimes flipped.

Read the full report: AI Trading Error Rates: Accuracy, Risks, and Reliability

The Greenest Cryptocurrencies

• We analyzed the true environmental impact of major cryptocurrencies, measuring energy use and carbon emissions per transaction, and compared them with traditional payment networks like Visa and PayPal.
• The biggest factor is consensus mechanism: Proof of Work (e.g., Bitcoin) uses hundreds of kWh per transaction, while Proof of Stake and lightweight systems (Solana, Algorand, Nano) cut energy use by over 99%.
• Bitcoin remains an outlier – a single BTC transaction (~700 kWh, ~400,000 g CO₂) uses more power than a UK home in three weeks and dwarfs Visa, PayPal, and modern blockchains.
• Ethereum’s 2022 Merge slashed energy use by 99%+, bringing each transaction down to ~0.025–0.03 kWh, now similar to or better than PayPal.
• Ultra-efficient chains (Nano, Algorand, Solana) use less power per transaction than a Google search; Algorand and Hedera even offset or overcompensate emissions to go carbon-negative.
• Visa and Mastercard remain very efficient (~0.001 kWh, 0.5 g CO₂ per tx), but the cleanest PoS networks now match or outperform them.

Read the full report: The Greenest Cryptos: Which Coins Use the Least Energy?

Comments On The Changes To The Pattern Day Trading Rule

• FINRA has voted to revamp the pattern day trading rule, removing the $25,000 minimum equity requirement for day traders in the US.
• The proposed changes to the PDT rule, which have been amongst the strictest applied to retail traders anywhere, could mark the biggest shake up for the US retail day trading market in over 20 years.
• The PDT rule has long trapped skilled albeit small traders with modest accounts. If loosened, experienced traders with an edge could trade more freely without the temptation to turn to higher-risk offshore brokers or trading products.
• With rising financial literacy and huge leaps in technology, both in terms of trading execution and access to market data, some day traders in the US will be well-positioned to capitalize on the changes.
• Day trading brokers operating in the US also stand to gain. Brokerages will likely see more trading volume on their platforms, and thus more order flow and greater commissions.
• But it’s not necessarily all dollar signs for brokers. There could be an increase in the costs associated with customer support as there’ll be more accounts that aren’t as valuable. Costs for risk management and client defaults or margin calls could also rise. This may even lead to a change in fee structures.

Comments On Whether The Stock Market Will Crash In 2025

• There’s chatter about a stock market crash in 2025 because valuations are high and expectations are stretched, but a full-blown collapse is unlikely: the economy is steady, yet the market is priced for perfection.
• Growth is modest but solid (~2%), the labor market remains resilient, inflation is easing but still ~3%, and the Fed is cutting rates; earnings are strong and AI-driven productivity hopes are a key tailwind.
• Stocks are expensive at the time of writing – P/Es already price in sizeable future growth, leaving little cushion if earnings or the economy disappoint.
• Trump-era tariffs are pushing up costs for firms and consumers, adding inflation risk and supply-chain uncertainty; tax cuts and fiscal stimulus give short-term support but may widen deficits and pressure rates later.
• The key crash triggers to watch for are hotter inflation, fewer or smaller Fed cuts than markets expect, weakening jobs/consumer spending, tariff/trade shocks, and geopolitical risk – with so much “good news” priced in, even mild disappointment could spark a sharp correction.
• Common mistakes in these stock market conditions include chasing recent winners, overconcentrating in hot themes like AI, panic-selling on volatility, and ignoring real (after-tax, after-inflation) returns.
• A balanced mix of global equities, nominal and inflation-linked bonds, and commodities (including gold) may help buffer against both growth and inflation shocks.

Comments On Trump Raising H-1B Visa Fees

• USCIS plans to raise H-1B petition fees from ~$1.7k–$5.4k to $100k per new filing – a seismic cost jump that could reshape how tech firms source global talent. The move will hit startups and mid-tier tech hardest, yet megacap stocks can mostly absorb it.
• Hiking the visa fees is a huge marginal cost increase, especially for entry/mid-level hires. It raises planning risk and will slow talent pipelines, push more domestic hiring/upskilling, and trigger offshoring/near-shoring.
• Megacaps can absorb the cost (deep pockets, premium talent draw), but smaller tech firms and startups will get hit hardest. Scaling AI/software teams will become pricier and more complex.
• Expect fewer H-1B filings overall, skewed toward senior or niche hires with more work routed to global hubs (Canada/Europe), heavier use of consultancies (TCS, Accenture, Infosys), and possibly more automation to reduce junior offshore roles.
• Entry-level ROI will drop; niche skills become harder to fill onshore and on schedule. Some projects could be delayed or reassigned globally.
• It’s mostly headline risk for megacaps; near-term EPS impact will be negligible, though AI/engineering hiring velocity could slow and costs may creep if firms adjust delivery models.

Get In Touch

For questions about our data or requests for expert comments from our experienced analysts covering all things trading, investing, and the stock market, please contact:

James Barra | Media Lead: james.barra@daytrading.com