Question 1

How is this different from ChatGPT or Claude?

Accepted Answer

Chat answers from memory and stops. This agent does the work — it writes and runs real code in a sandbox against live market data and SEC filings, keeps a workspace that holds your context, and fans out subagents in parallel. You get analysis you can open, rerun, and audit, not a plausible-sounding guess.

Question 2

Can I trust the numbers?

Accepted Answer

Every figure traces back to the code that produced it and the source it came from. The agent leaves its scripts, its data pulls, and inline citations — to the exact filing or quote behind each claim — open to inspect. You verify the work instead of trusting a black box.

Question 3

Where does the data come from?

Accepted Answer

Live US, A-share, and Hong Kong equity quotes, fundamentals, options chains, the full Treasury curve and macro series, and news with sentiment — plus SEC EDGAR filings the agent reads in full: the actual 10-K, 10-Q, and 8-K, not a summary. Every pull cited back to source.

Question 4

Is my data private?

Accepted Answer

We don't use your conversations to train AI models, and we don't sell your data. LangAlpha does not connect to your bank or brokerage — it works from market data and filings, not your accounts. So share as much as you like — the more it knows about you and your book, the sharper its work, and it all stays yours. Need airtight confidentiality? Self-host, and nothing leaves your own infrastructure.

Question 5

Will it act on its own without me?

Accepted Answer

Only when you let it. It proposes a plan before heavy work — approve, reject, or rewrite it — asks clarifying questions mid-run, and lets you steer any subagent while it works. And it never trades on its own: LangAlpha prepares the analysis and runs the research you schedule, and the call to act stays yours.

Question 6

Can I self-host it?

Accepted Answer

Yes. The core agent is open source under Apache 2.0 and runs in your own VPC with a Docker-based sandbox. Bring your own model and data keys; per-workspace secrets stay in an encrypted vault, read only at execution time — your data, your keys, your network boundary.

Question 7

What does it cost?

Accepted Answer

Start free on the hosted platform — paid plans add higher monthly limits and top-up credits. Prefer your own model subscriptions? Bring your own keys (Claude, GPT, Gemini, or others) and pay your provider directly. Or self-host: the core agent is open source on GitHub, running entirely on your own keys and infrastructure.

The agentic AI platform
for financial research.

Give it your hardest question.
Judge the answer yourself.

One task, split across a team of agents.
You steer every step.

Every input that moves a stock,
wired for the agent to reach.

Live streaming quotes

Direct SEC EDGAR

Options chains

Treasury yield curve

Macro & calendars

News & web fetch

Finished work, in the format you need.
Memo, model, deck, dashboard.

A workspace that keeps your context.
Research that compounds.

It runs before the open,
and when the market moves.

@LangAlpha in Slack

Common questions

The agentic AI platformfor financial research.

Give it your hardest question.Judge the answer yourself.

One task, split across a team of agents.You steer every step.

Every input that moves a stock,wired for the agent to reach.