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How to use Fincept Terminal: what you can do with it

What is Fincept Terminal? Fincept Terminal is a native C++20 desktop terminal for financial research with a Qt6 interface and embedded Python analytics. The free AGPL-3.0 open build includes DCF, portfolio optimisation, VaR and Sharpe, derivatives pricing, a QuantLib suite, 37 AI trader, investor and economics agents with your own LLM key, 100+ data connectors, a paper trading engine, broker integrations, a visual node editor and MCP tools. A paid Enterprise edition is sold separately. Not financial advice: paper trade first, and remember you can lose money.

How do I use it? Download the installer for your platform from the latest GitHub release; then on Debian or Ubuntu run sudo apt install ./FinceptTerminal-*.deb; on Fedora sudo dnf install ./FinceptTerminal-*.rpm; launch Fincept Terminal and open the analytics modules. Full steps below.

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3 use cases

Quick start with Fincept Terminal

  1. Check you have what it needs: Windows x64, Linux x64 or macOS on Apple Silicon; Your own LLM API key (OpenAI, Anthropic, Gemini, Groq, DeepSeek, OpenRouter) or Ollama for the AI agents; Optional API keys for paid data connectors.
  2. Open Fincept-Corporation/FinceptTerminal on GitHub and read the README and license.
  3. Download the installer for your platform from the latest GitHub release
  4. On Debian or Ubuntu run sudo apt install ./FinceptTerminal-*.deb; on Fedora sudo dnf install ./FinceptTerminal-*.rpm
  5. Launch Fincept Terminal and open the analytics modules
  6. Connect free public feeds such as FRED, World Bank or Yahoo Finance first, then add your own keys

These steps come from our top use case, Install a free Bloomberg-style research terminal, which also has a copy-paste agent prompt.

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Requirements

  • Windows x64, Linux x64 or macOS on Apple Silicon
  • Your own LLM API key (OpenAI, Anthropic, Gemini, Groq, DeepSeek, OpenRouter) or Ollama for the AI agents
  • Optional API keys for paid data connectors

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Questions about Fincept Terminal

What is Fincept Terminal?

Fincept Terminal is a native C++20 desktop terminal for financial research with a Qt6 interface and embedded Python analytics. The free AGPL-3.0 open build includes DCF, portfolio optimisation, VaR and Sharpe, derivatives pricing, a QuantLib suite, 37 AI trader, investor and economics agents with your own LLM key, 100+ data connectors, a paper trading engine, broker integrations, a visual node editor and MCP tools. A paid Enterprise edition is sold separately. Not financial advice: paper trade first, and remember you can lose money. It is an open-source project on GitHub: https://github.com/Fincept-Corporation/FinceptTerminal.

How do I use Fincept Terminal?

Download the installer for your platform from the latest GitHub release; then on Debian or Ubuntu run sudo apt install ./FinceptTerminal-*.deb; on Fedora sudo dnf install ./FinceptTerminal-*.rpm; launch Fincept Terminal and open the analytics modules. The use cases on this page give the full steps and a copy-paste agent prompt for each job.

Who is Fincept Terminal for?

Students, hobbyists and academic researchers who want a free Bloomberg-style research desktop and are fine bringing their own data and LLM keys.

What can I do with Fincept Terminal?

3 use cases so far, for example: Install a free Bloomberg-style research terminal; Research markets with 37 AI agents on your own key; Practise trades on the built-in paper trading engine. Each has steps and a copy-paste agent prompt.

What do I need to run Fincept Terminal?

Windows x64, Linux x64 or macOS on Apple Silicon; Your own LLM API key (OpenAI, Anthropic, Gemini, Groq, DeepSeek, OpenRouter) or Ollama for the AI agents; Optional API keys for paid data connectors.

What are alternatives to Fincept Terminal?

Other hot AI repos in Money: Freqtrade, Vibe Trading, Day Trader Skill, Tick Stock Panel, Trading Agents.

Is Fincept Terminal safe to run?

Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.