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What is this?
Fincept Terminal is a free, open-source desktop finance terminal in the spirit of a Bloomberg terminal: institutional-grade market analytics, AI research agents and trading tools combined in one application.
Fincept Terminal is a free, open-source desktop finance terminal in the spirit of a Bloomberg terminal: institutional-grade market analytics, AI research agents and trading tools combined in one application.Is it a web app or a program I install on my computer?It's a native desktop application, not a web app: C++20 with a Qt6 interface and embedded Python 3.11, shipped as a single binary with no Electron and no browser runtime.
It's a native desktop application, not a web app: C++20 with a Qt6 interface and embedded Python 3.11, shipped as a single binary with no Electron and no browser runtime.How do I get it running?Download a release installer for your platform: a setup.exe for Windows x64, an AppImage, .deb or .rpm for Linux, or a DMG for Apple Silicon Macs. There is also a build-from-source route via ./setup.sh.
Download a release installer for your platform: a setup.exe for Windows x64, an AppImage, .deb or .rpm for Linux, or a DMG for Apple Silicon Macs. There is also a build-from-source route via ./setup.sh.Do I need to install Python or Qt first?Not for the installers: Python 3.11 is embedded and the app ships as one binary. Only building from source needs a pinned toolchain — CMake 3.27.7, Ninja 1.11.1, Qt 6.8.3 and Python 3.11.9.
Not for the installers: Python 3.11 is embedded and the app ships as one binary. Only building from source needs a pinned toolchain — CMake 3.27.7, Ninja 1.11.1, Qt 6.8.3 and Python 3.11.9.What's the catch with the free build?Development is calmer than the feature list suggests: the open build ships one release a month because the team's daily work goes into the paid Enterprise edition. LLM usage also runs on your own API keys, billed per token.
Development is calmer than the feature list suggests: the open build ships one release a month because the team's daily work goes into the paid Enterprise edition. LLM usage also runs on your own API keys, billed per token.Can I use it at work, or is the licence restrictive?It's AGPL-3.0-or-later, strong copyleft: fine for personal use, learning and academic research, but distribute a modified build or run one as a service and you must publish your changes under the same licence — which is why firms buy the proprietary Enterprise edition.
It's AGPL-3.0-or-later, strong copyleft: fine for personal use, learning and academic research, but distribute a modified build or run one as a service and you must publish your changes under the same licence — which is why firms buy the proprietary Enterprise edition.What can it actually do once it's installed?Analytics like DCF, portfolio optimisation, VaR/Sharpe, derivatives pricing and an 18-module QuantLib suite; 100+ data connectors (FRED, IMF, World Bank, Polygon, Kraken, Yahoo Finance); a visual node editor, MCP tools and an AI Quant Lab for ML and factor discovery; plus maritime tracking and geopolitical analysis.
Analytics like DCF, portfolio optimisation, VaR/Sharpe, derivatives pricing and an 18-module QuantLib suite; 100+ data connectors (FRED, IMF, World Bank, Polygon, Kraken, Yahoo Finance); a visual node editor, MCP tools and an AI Quant Lab for ML and factor discovery; plus maritime tracking and geopolitical analysis.How does the AI side work — do I have to pay extra?You bring your own LLM key — OpenAI, Anthropic, Gemini, Groq, DeepSeek, OpenRouter or Ollama — and pay per token on your own account, with no ceiling. The open build ships 37 trader/investor, economic and geopolitics agents.
You bring your own LLM key — OpenAI, Anthropic, Gemini, Groq, DeepSeek, OpenRouter or Ollama — and pay per token on your own account, with no ceiling. The open build ships 37 trader/investor, economic and geopolitics agents.Can I place real trades through it?The open build has a paper-trading engine plus 16 broker integrations with crypto and equity feeds. Live broker routing and live algo deployment are reserved for the paid Enterprise edition.
The open build has a paper-trading engine plus 16 broker integrations with crypto and equity feeds. Live broker routing and live algo deployment are reserved for the paid Enterprise edition.What does the Enterprise edition add over the free one?Private datasets with deeper point-in-time history, multi-agent deep research, live broker and algo execution, SSO/SAML, RBAC and support, at $10–$40 per user/month launch pricing — pitched against roughly $27,000 a year for a Bloomberg seat. The free build remains fully usable under AGPL-3.0.
Private datasets with deeper point-in-time history, multi-agent deep research, live broker and algo execution, SSO/SAML, RBAC and support, at $10–$40 per user/month launch pricing — pitched against roughly $27,000 a year for a Bloomberg seat. The free build remains fully usable under AGPL-3.0.What are similar projects?skills, qlib, ai-hedge-fund, backtrader, Vibe-Trading, nautilus_trader, QuantDinger, CNEquity
skills, qlib, ai-hedge-fund, backtrader, Vibe-Trading, nautilus_trader, QuantDinger, CNEquityWhich topics is it in?investment-research, trading-platform, investment, good-first-issue, market-data, quant, algorithmic-trading, opensource, stock-market, qt, quantitative-finance, fintech
investment-research, trading-platform, investment, good-first-issue, market-data, quant, algorithmic-trading, opensource, stock-market, qt, quantitative-finance, fintech