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Finterm.ai Bloomberg terminal for Claude Code

Details

External ID
48896257
Source
HN
Company
—
Product
Finterm.ai Bloomberg terminal for Claude Code
Website domain
finterm.ai
Launched
July 13, 2026
Cohort
—
Upvotes
6
Upvotes percentile
0.2873357228195938
Tags
—
Fetched at
Sept. 7, 2026, 9:26 p.m.
Updated at
Sept. 7, 2026, 9:26 p.m.

Description

Hi, my name is Kam, and today my cofounder Josh and I are shipping Finterm, a CLI that gives coding agents direct access to financial data: stock prices, options data, SEC filings, and Ticker Deep Research, a filtered ticker news search. I’m a developer and have been a full-time trader for the past few years.Recently I have been using LLMs more and more in my trading and strategy. I always found it frustrating that Claude Code or GPT did not have direct access to actual financial information and had to rely on web search, so it couldn’t get me more granular numbers for specific options pricing.When making a trade I want to understand as much as possible about the stock. Instead of relying on analysts or interpretations of the data, I like to go directly to the truth. So whenever I have a trade thesis, I break research into a few parts: company research, analyst sentiment, and market sentiment.Last September I had a short thesis on Popmart Labubu's parent company. I was betting the toy was a fad and that the stock would fall. I read through the SEC filings and an LLM analyze them too: how big a driver is Labubu, what's the business model, what does the debt look like, and what looks strange enough to dig into. I compared the company to its peers on EPS and industry metrics. I asked GPT to do deep research that included around 50 queries and hundreds of pages to map every argument about the stock. Finally I looked at the options data: call/put ratios, implied volatility, recent volume, to see how the real money was betting. I made 16% over the next month.The flow was painful, fetching SEC data, copy pasting filing sections in to GPT, aggregating everything by hand, and juggle a dozen chat windows.In the past few months, Josh and I spent more time trying to get agents to trade autonomously. The more we dug in, the more we realized that the problem you need to solve first is giving agents access to factual information in a token-efficient way.We found that agents performed better with a CLI, since it didn’t waste as many tokens as interfacing with MCP or making API calls. We designed the CLI to be self-documenting and behave similarly to skills so it would be agent-friendly.Second, we batch multiple calls together. Whenever I research a ticker, I want the same few pieces of information every time—P/E ratio, revenue, current stock price, options sentiment. We let your agent make a single call, which saves tokens and gives a more complete view of a ticker.When doing web searches about a ticker, you often get noisy articles (how much you would have made if you had invested $X in Amazon in 2002), SEO spam, and duplicated articles covering the same topic from the same source. So our Ticker Deep Research returns a research packet: it fetches 600–800 links per ticker, strips out the 30–40% that is noise, and gives back the state of the internet on that ticker—deduped, with sources labeled primary or secondary and known AI-slop sites flagged. Instead of crawling hundreds of webpages itself, your agent gets a thorough snapshot of what the market thinks about the stock.We take the same approach for SEC filings. Even with raw filings accessible now, most quarterly and annual filings are 90–95% boilerplate and repetition. We offer raw filings, but also an SEC filing diff tool where your agent sees only the diffs: the important changes to the company.Stock and options data is delayed by up to 15 minutes, which keeps costs reasonable and fits the research-first use case we’re building for.We realize this is a niche product for a technical audience that likes to trade stocks using Claude Code, but it’s close to a lot of the frustrations I feel myself, so I wanted to share it and see if anyone else is interested.You can sign up and npm install -g @finterm-ai/cli to test it. We have a 3-day free trial (card required) and would love any feedback.

Enrichment

Theme
financial intelligence and trading tools
Vertical
Fintech
Function
Agent / copilot
Audience
Developer
AI stance
AI-native
Project type
Commercial product
Normalized one-liner
bloomberg terminal for claude code
Manually corrected
False

Could you build this?

Partial The CLI interface and prompt formatting for Claude Code are trivial, but aggregating real-time options chains, live stock prices, and parsing SEC Edgar filings requires enterprise market data licensing and custom indexing pipelines.

What it would actually take: A functioning financial data hub requires licensing real-time feeds (like Polygon.io, OPRA, or Benzinga) or building an ingestion engine for SEC EDGAR 10-K/10-Q XBRL documents with semantic chunking and diff engines. The backend sits on an API gateway distributing cached financial schemas to a lightweight CLI client.

Discussion

No comments on this launch.

Competitors

Other products that read as similar to this one — 311 launches clear the similarity bar, closest 8 shown.

Attention rank: #252 of 312 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 252 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a agent / copilot tool for Agriculture yet.