What is Fincept Terminal?
Fincept Terminal is a desktop application for investment research and quantitative analysis. It combines equity valuation, portfolio optimisation, risk metrics, derivatives pricing and fixed-income analytics with market and economic data connectors. Its interface is built with C++ and Qt, with embedded Python for analytics rather than a browser runtime.
The open build includes AI research agents configured with the user's own model-provider credentials, a paper-trading engine, a visual node editor and tools for maritime and geopolitical analysis. It runs on Windows, macOS and Linux through native installers or source builds. Data access and AI usage can require separately billed services.
The public repository provides a free AGPL edition maintained on a monthly release cycle. A separate proprietary Enterprise edition targets funds, family offices and research desks, adding private datasets, included AI credits and organisational controls. Enterprise is not built from the public repository.
The repository edition stays free under AGPL-3.0. Paid Enterprise plans are listed from $15 per user per month with no annual lock-in, and the project states that they can be cancelled at any time.
Key capabilities
- Financial modelling Supports discounted cash flow valuation, portfolio optimisation, risk metrics, derivatives pricing and fixed-income analysis.
- Data connectivity Connects to market and economic sources including FRED, IMF, World Bank, Polygon, Kraken and Yahoo Finance.
- AI research Provides investor, economic and geopolitical agents using model providers configured by the user, including Ollama.
- Visual automation Offers a node editor, MCP tools and a quantitative research workspace for machine learning and factor discovery.
- Paper trading Includes a paper-trading engine for simulated trading workflows.
- Global intelligence Provides maritime tracking, geopolitical analysis and relationship mapping alongside financial research.
Where Fincept Terminal fits
Fincept Terminal fits personal investment research, finance education and academic quantitative work where valuation, portfolio analysis and economic data exploration need to share a desktop workspace. Developers can extend the open build with data connectors, analytics modules, agents and interface screens.
Before deployment, users should verify data-provider coverage, credential requirements and ongoing data and model costs. Source builds require the documented toolchain. Firms should assess AGPL obligations and the separate Enterprise offering, and confirm execution capabilities for their chosen edition because the repository overview and development guide describe live trading differently.
Install
sudo apt install ./FinceptTerminal-*.debReviews of Fincept Terminal
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