Fincept Terminal
Kill your Bloomberg envy with a free download. Live stocks, bonds, crypto, and 37 AI agents that pick like Buffett, Munger, and Lynch.
Who this is for
Best for analysts, finance founders, family offices, and operators who want a real research stack without paying for a Bloomberg seat.
We would deliver a deployed Fincept workspace with curated data feeds, a custom agent roster for the firm, and a clean dashboard for non-technical partners.
Setup steps
Install the official Fincept Terminal release for your platform.
Connect data feeds one at a time and validate each before enabling the next.
Run the AI agents on read-only data first; do not connect trading accounts during testing.
Add monitoring and access control before letting the team use it for live decisions.
Before you connect live data
- • Run dummy data first. Real client data is not a test bed.
- • API keys never go in a public repo. Use env vars and a secrets manager.
- • Add logging, access control, monitoring, and a rollback path before launch.
- • Read the license. Forking a repo without checking is how lawsuits start.
Credit the original author
Verify the current repository license and respect each connected data provider's terms.
We list this as a guide, not as our build, unless we are actively maintaining a fork.
Paste this into Claude. It will install it for you.
Open Claude or Claude Code. Paste the prompt below. It will ask you a few setup questions, then walk you through every step adapted to your machine.
You are helping me install and run **Fincept Terminal** on my machine. Repo / link: https://github.com/Fincept-Corporation/FinceptTerminal Category: Finance and data What it does: Kill your Bloomberg envy with a free download. Live stocks, bonds, crypto, and 37 AI agents that pick like Buffett, Munger, and Lynch. Difficulty: Technical Setup steps from the public guide: 1. Install the official Fincept Terminal release for your platform. 2. Connect data feeds one at a time and validate each before enabling the next. 3. Run the AI agents on read-only data first; do not connect trading accounts during testing. 4. Add monitoring and access control before letting the team use it for live decisions. Before writing or running anything, ask me these in ONE batch and wait for my reply: 1. What operating system am I on? (macOS / Windows / Linux) 2. Do I already have Docker installed and running? 3. Do I have Git installed? 4. Do I have Node or Python installed, and what versions? 5. Which model provider keys do I have available right now? (Anthropic, OpenAI, Gemini, OpenRouter, none) 6. Where do I want this installed on disk? 7. Is this just to test locally, or am I planning to connect it to live business data soon? 8. Anything sensitive (real client data, payment access, mailbox access) it should NOT touch on this machine? After I answer, walk me through each setup step adapted to my environment. Stop after each step, show me the command, and wait for me to confirm it ran before moving on. If a step fails, diagnose the actual error before suggesting the next move. Do not connect this to live business data until I explicitly say go.
Want it wired into your business instead of your laptop?
A repo on your machine is a starting point. The work that pays back is connecting it to the CRM, inbox, payments, and team processes you already run. That is the part we ship.