Fincept Terminal is a native desktop terminal for financial research. According to the materials, it is written in C++20, uses a Qt6 interface, and embeds a Python 3.11 analysis environment, distributed as a single binary, without depending on Node.js and without using a browser runtime. Its positioning is to provide institutional-grade financial analysis, AI automation, and unlimited data connectivity.
[Versions and Licensing] The materials clearly distinguish two versions, both running on the same data core:
- Enterprise: private, closed-source, developed daily by the team, aimed at funds, family offices, and research departments. Pricing is 15/30/45 USD per person per month, with an annual cost of about 180–540 USD per user; billed monthly, with no annual lock-in, no minimum seat requirement, and stated to be cheaper than a Bloomberg seat at about 27,000 USD. Enterprise requires a separate account, and a free Fincept login cannot sign in to that version.
- Open-source version: this repository, released free of charge under the AGPL-3.0-or-later license, suitable for learning, personal use, and academic research, with one release per month. The materials note that AGPL-3.0 is a strong copyleft license: if you distribute a modified build, or run it as a service accessible to others, you must make the modifications public under the same license; there is no such obligation for personal, non-distribution use. The materials also state that Fincept no longer sells commercial or academic licenses separately for this repository; commercial, enterprise, and university needs are handled by the Enterprise version.
[Open-source version features]
- Analysis: DCF, portfolio optimization, VaR/Sharpe, derivatives pricing, fixed income, alternative assets, and an 18-module QuantLib suite.
- AI: 37 trading/investment, economic, and geopolitical intelligence agents; supports bring-your-own-key, compatible with OpenAI, Anthropic, Gemini, Groq, DeepSeek, OpenRouter, Ollama.
- Data: 100+ connectors, including FRED, IMF, World Bank, DBnomics, AkShare, Polygon, Kraken, Yahoo Finance, and government APIs.
- Trading: crypto and stock quotes, paper trading engine, 16 broker integrations.
- Automation: visual node editor, MCP tools, AI Quant Lab (machine learning, factor discreinforcement learning).
- Global intelligence: maritime tracking, geopolitical analysis, relationship graphs. The materials state that these features are distributed across 41 modules in six major sections, accompanied by a manual of about 700 pages.
[Enterprise Edition Features] The Enterprise capabilities listed in the materials include: real-time data, multi-agent AI research, live brokerage connectivity, backtesting and algorithmic execution, priority support, equity research, portfolio management, financial workflows, quantitative research lab, maritime and geopolitics.
[Usage and Access Methods]
- Download: an official download entry is provided; the Enterprise Edition has signed installers for Windows, macOS, and Linux, which must be obtained through Enterprise login.
- Build from source: on Linux/macOS use git clone … && ./setup.sh; instructions for Windows and manual builds are located in docs/GETTING_STARTED.md. The materials emphasize that toolchain versions are pinned: CMake 3.27.7, Ninja 1.11.1, Qt 6.8.3, Python 3.11.9; newer or older versions are not supported.
- Account: a Fincept account (for this terminal) is free, or Pro at $10 per month, providing monthly cloud credits, higher API limits, and priority support.
[Maintenance Mode] The repository remains public and will not be deleted, and published content remains published. Because the team's daily work is on Enterprise, this repository has switched to monthly releases rather than continuous development; issues and pull requests are still reviewed, and fixes are merged on a monthly cycle. Security reports are sent to support@fincept.in.
[Related Products]
- Fincept Data API: 500+ REST endpoints, 423,000+ instruments, 2,000+ sources; any account includes a free tier.
- Quantcept: an AI research desk for markets, providing raw data, backtesting, portfolios, documentation, and 24/7 monitoring; you can start for free, with Alpha at $14 and Apex at $24 per 30 days; the materials also mention that the 30-day pass does not auto-renew, and the student Apex is $5.
[Applicable Scenarios and Limitations] Suitable for students, enthusiasts, and academic researchers using the open-source edition; suitable for institutions, research desks, or those profiting from it to use the Enterprise Edition, in order to avoid AGPL copyleft obligations. The materials note that the main cost of the open-source edition itself comes from the user's own data and LLM bills, billed by token with no upper limit. Regarding trademarks, "Fincept," "Fincept Terminal," and the Fincept logo are trademarks of Fincept Corporation, and prior written permission is required for use in any fork, derivative, renaming, or commercial product.
[Other Notes] The materials do not provide the specific operating system support scope of the open-source edition, details of feature differences among Enterprise price tiers, the specific names and capability lists of each AI agent, or a public link to the 700-page manual; this content is not yet available.
