Claude Code has gained access to data on 17,000 stocks and cryptocurrencies: a replacement for the Bloomberg terminal?
An analyst under the pseudonym CyrilXBT demonstrated how a single command can connect Claude Code to live market data—quotes for more than 17,000 stocks and cryptocurrencies, as well as earnings reports, balance sheets, and cash flow statements. According to him, this functionality can replace the capabilities of the Bloomberg Terminal, which has traditionally been considered the standard for professional financiers.
This involves connecting an external financial data service via the MCP protocol. The setup consists of three steps and, as the author claims, takes about 60 seconds.
How it works
The first step is running a command to add the financial-datasets service via HTTP transport inside Claude Code. The command specifies the MCP server address and registers it in the tool.
The second step is authorization. The user enters /mcp inside Claude Code and completes the OAuth procedure in the browser. The connection status can be checked with a separate command that displays a list of linked services.
The third step is natural language queries. As examples, CyrilXBT cites questions about Apple's current price-to-earnings ratio and market capitalization, Tesla's quarterly reports for the last four periods, and the change in Bitcoin's price over the past year.
After setup, Claude Code directly accesses data on 17,000+ stocks, earnings reports, balance sheets, income statements, cash flow statements, and cryptocurrency quotes. Previously, this required a Bloomberg Terminal, a complex financial data API, or hours of manual searching across various sources.
CyrilXBT separately highlights the cost of the alternative. By his estimate, analysts pay about $24,000 per year for a Bloomberg Terminal, and the emergence of such a combination is unlikely to please these professionals.
Who benefits from this
According to CyrilXBT's assessment, a sustainable advantage will go to those who learn to combine Claude Code's reasoning with access to live financial data. This refers to quants, analysts, and portfolio managers.
Such an advantage, as the author notes, compounds every day. He frames it as a research edge that grows with daily use of the combination.
The analyst emphasizes that none of the steps is difficult on its own. The value arises precisely from connecting an ordinary tool to a stream of current market data in a single interface.
At the same time, the idea itself relies on an open standard for connecting external sources. Claude Code acts here as a shell through which the user accesses a third-party data provider without manual information gathering.
A thousand agents overnight from a smartphone
CyrilXBT also published a breakdown of the workflow of Boris Cherny, one of the creators of Claude Code. According to the author's description, Cherny uses a smartphone as his primary interface instead of a laptop and maintains between five and ten active sessions simultaneously.
Each of them is capable of spawning subagents—sometimes several hundred at once, sometimes several thousand overnight on larger tasks. Dozens of loops, according to the author, run continuously in the background, with some of them persisting on the server side even when the laptop is closed.
CyrilXBT highlights four elements without which such a scheme is dangerous. The first is launching and delegating tasks from a smartphone: a full-fledged interface for sending instructions is needed, not just receiving status notifications.
The second is isolated parallel execution. Each agent or cluster of subagents operates in its own context and workspace; otherwise, running many processes simultaneously produces chaos rather than scale.
The third element, which the author believes is most often overlooked, is verification without human involvement. The result of each agent is checked against something real: another agent, a test suite, or an explicit rule, rather than the agent's own report of successful completion.
The fourth is strict stop conditions and a spending cap. A process running for hours unattended needs an absolute limit on time, money, and volume that does not depend on whether a human notices a failure. It is precisely this, as CyrilXBT emphasizes, that turns overnight agent work from a risk into a manageable task.
My take: Connecting Claude Code to live financial data via MCP is not just a convenient integration but a signal of a paradigm shift in analytics. When an AI assistant gains direct access to market quotes and financial reports, it ceases to be a passive tool and becomes an active participant in the research process. For retail investors, this potentially levels the playing field with institutional players who have paid for expensive terminals for decades. However, it is worth remembering: access to data is only half the battle. Critical thinking and the ability to interpret numbers remain human competencies that algorithms do not yet replace.