Tech
tech

A direct appeal to Sundar Pichai, CEO of Alphabet, to please fix Google Finance’s most basic feature

Alphabet is a remarkable entity. Today, millions of people will fire up Google Chrome, check their Gmail, and then flick over to YouTube — now the biggest thing in TV, and potentially worth some $550 billion — all while Alphabet’s self-driving car division, Waymo, safely delivers thousands of people to their desired destination... and Google itself handles over 150,000 search queries every single second.

But one tiny bug in the Finance product is enough to make me forget all of that.

Disclaimer: If you aren’t in the mood to dive into a very petty — largely unimportant — gripe about stock charts, please stop reading.

When searching the web for a stock and using Google Finance’s “year to date” return function on its interactive module, the calculation is always, bafflingly, wrong. Take Tesla’s stock as an example.

Tesla stock
Sherwood News

Per this Google module, Tesla’s stock is down 31.67% this year. From memory that sounds broadly correct — Tesla is having a bad year after all — but it’s not quite right.

Let’s do the calculation manually. Using the interactive chart, we can calculate the change from the end of December 31 to yesterday’s close (March 31).

Tesla YTD 2 Google Finance
Screenshot from Google

Doing that, we get -35.83%. About a 4% difference.

So, what’s going on?

It turns out that Google Finance is using the close price from January 2 in the first case, essentially ignoring the first day of trading. We can see this in the below screenshot: drawing a line from January 2 to March 31 gives us Google’s YTD change of 31.67%. But, of course, January 2 should be counted. In this case, Tesla moved quite a bit on the day!

Tesla YTD 3 Google Finance
Screenshot from Google

Rival provider Yahoo Finance correctly tells us it’s -35.83% on its website.

Yahoo Finance
Screenshot from Yahoo Finance

The weirdest thing, however, is that if I navigate to the actual Google Finance website (rather than just using the interactive module that appears at the top of Google Search), the problem fixes itself.

Still, Sundar, if you’re reading this, can you help us out here?

When searching the web for a stock and using Google Finance’s “year to date” return function on its interactive module, the calculation is always, bafflingly, wrong. Take Tesla’s stock as an example.

Tesla stock
Sherwood News

Per this Google module, Tesla’s stock is down 31.67% this year. From memory that sounds broadly correct — Tesla is having a bad year after all — but it’s not quite right.

Let’s do the calculation manually. Using the interactive chart, we can calculate the change from the end of December 31 to yesterday’s close (March 31).

Tesla YTD 2 Google Finance
Screenshot from Google

Doing that, we get -35.83%. About a 4% difference.

So, what’s going on?

It turns out that Google Finance is using the close price from January 2 in the first case, essentially ignoring the first day of trading. We can see this in the below screenshot: drawing a line from January 2 to March 31 gives us Google’s YTD change of 31.67%. But, of course, January 2 should be counted. In this case, Tesla moved quite a bit on the day!

Tesla YTD 3 Google Finance
Screenshot from Google

Rival provider Yahoo Finance correctly tells us it’s -35.83% on its website.

Yahoo Finance
Screenshot from Yahoo Finance

The weirdest thing, however, is that if I navigate to the actual Google Finance website (rather than just using the interactive module that appears at the top of Google Search), the problem fixes itself.

Still, Sundar, if you’re reading this, can you help us out here?

More Tech

See all Tech
tech
Tom Jones

Prediction markets have, predictably, been given a boost by the summer of sports

Major platforms like Kalshi and Polymarket have seen huge upticks in users of late, thanks in no small part to what’s felt like a recent sporting smorgasbord, with major competitions across hockey, basketball, and soccer soaking up fans’ time (and spending, clearly) at the outset of summer.

While gaming industry groups may not like it, there’s been a huge change in the methods people are using to put money on the big games, with everyone from fortunate NYC bar owners, to a far less fortunate Spanish supporter, turning to prediction markets to try and turn their sports know-how into cold, hard cash.

According to a new report from Adam Blacker for apptopia, that shift might have been even more seismic than imagined in the wake of the NBA and NHL finals and around the 2026 World Cup kicking off.

While gaming industry groups may not like it, there’s been a huge change in the methods people are using to put money on the big games, with everyone from fortunate NYC bar owners, to a far less fortunate Spanish supporter, turning to prediction markets to try and turn their sports know-how into cold, hard cash.

According to a new report from Adam Blacker for apptopia, that shift might have been even more seismic than imagined in the wake of the NBA and NHL finals and around the 2026 World Cup kicking off.

South by Southwest Conference and Festivals

Gold Tesla Cybercabs are piling up, but they’re not picking up passengers yet

Low-volume production started in April. Now people are noticing them more and more in the wild.

Rani Molla6/15/26
tech
Jon Keegan

Anthropic pulls Fable and Mythos access worldwide after Trump administration bars their use by foreign nationals

Only days after releasing two versions of its next-gen AI model, Anthropic has disabled them for users worldwide.

Anthropic says it received a Friday night order from the Trump administration to suspend access to the models for any foreign national (anywhere in the world) — a group that included some Anthropic employees. In response, the company turned off access to everyone.

Last week, the company released to the public its much-anticipated Claude Fable 5 model (and its restricted version Claude Mythos 5, which is still being tested with trusted partners). Anthropic said in a blog post announcing the action that officials cited national security concerns with the new models, while offering few specific details.

The post said that the government gave the company “verbal evidence of a potential narrow, non-universal jailbreak” of the public Fable 5 model. A jailbreak is a means by which users can evade restrictions built into the code to unlock prohibited functionality. Anthropic downplayed the significance of the attack, and said other major models, such as OpenAI’s GPT-5.5, could also be affected by the technique described.

Fears of these first Mythos-class models being misused are running high, after Anthropic warned the cybersecurity world in May that the advanced cyber capabilities of Mythos have rapidly discovered thousands of vulnerabilities in ubiquitous software, leading to the decision to restrict the full version of the model to a close group of trusted partners for testing.

This morning, Axios reported that Anthropic technical staff have flown to Washington to meet with White House officials to resolve the issue.

The Wall Street Journal is reporting that the Trump administration’s decision to take action against Anthropic was prompted by discussions that Amazon CEO Andy Jassy had with officials, including Treasury Secretary Scott Bessent. According to the report, Amazon researchers said they had been able to evade some of Fable 5’s security restrictions using specific prompts. Amazon is a major investor in Anthropic.

Anthropic is currently suing the US government to fight the Pentagon’s blacklisting of the company on national security grounds.

Last week, the company released to the public its much-anticipated Claude Fable 5 model (and its restricted version Claude Mythos 5, which is still being tested with trusted partners). Anthropic said in a blog post announcing the action that officials cited national security concerns with the new models, while offering few specific details.

The post said that the government gave the company “verbal evidence of a potential narrow, non-universal jailbreak” of the public Fable 5 model. A jailbreak is a means by which users can evade restrictions built into the code to unlock prohibited functionality. Anthropic downplayed the significance of the attack, and said other major models, such as OpenAI’s GPT-5.5, could also be affected by the technique described.

Fears of these first Mythos-class models being misused are running high, after Anthropic warned the cybersecurity world in May that the advanced cyber capabilities of Mythos have rapidly discovered thousands of vulnerabilities in ubiquitous software, leading to the decision to restrict the full version of the model to a close group of trusted partners for testing.

This morning, Axios reported that Anthropic technical staff have flown to Washington to meet with White House officials to resolve the issue.

The Wall Street Journal is reporting that the Trump administration’s decision to take action against Anthropic was prompted by discussions that Amazon CEO Andy Jassy had with officials, including Treasury Secretary Scott Bessent. According to the report, Amazon researchers said they had been able to evade some of Fable 5’s security restrictions using specific prompts. Amazon is a major investor in Anthropic.

Anthropic is currently suing the US government to fight the Pentagon’s blacklisting of the company on national security grounds.

Latest Stories

Sherwood Media, LLC and Chartr Limited produce fresh and unique perspectives on topical financial news and are fully owned subsidiaries of Robinhood Markets, Inc., and any views expressed here do not necessarily reflect the views of any other Robinhood affiliate, including Robinhood Markets, Inc., Robinhood Financial LLC, Robinhood Securities, LLC, Robinhood Crypto, LLC, Robinhood Money, LLC, Robinhood U.K. Ltd, Robinhood Derivatives, LLC, Robinhood Gold, LLC, Robinhood Asset Management, LLC, Robinhood Credit, Inc., Robinhood Ventures DE, LLC and, where applicable, its managed investment vehicles.