Fincept Terminal (Fincept Corporation)
Overview
Fincept Terminal is an open-source financial intelligence platform built by Fincept Corporation. It delivers Bloomberg-terminal-class analytics in a single native C++20 binary with Qt6 UI, embedded Python analytics, and 100+ data connectors. AGPL-3.0 licensed with commercial option.
- Version: 4.0.2
- Website: github.com/Fincept-Corporation/FinceptTerminal
- License: AGPL-3.0 (open source) + Commercial license available
- Contact: support@fincept.in
- Contact: https://discord.gg/ae87a8ygbN
Key Features
| Feature | Details |
|---|---|
| CFA-Level Analytics | DCF models, portfolio optimization, VaR/Sharpe, derivatives pricing |
| 37 AI Agents | Trader (Buffett, Graham, Lynch, Munger, Klarman, Marks...), Economic, Geopolitics |
| 100+ Data Connectors | DBnomics, Polygon, Kraken, Yahoo Finance, FRED, IMF, World Bank, AkShare |
| Real-Time Trading | Crypto (Kraken/HyperLiquid WebSocket), 16 broker integrations, algo trading |
| QuantLib Suite | 18 quantitative analysis modules — pricing, risk, stochastic, volatility, fixed income |
| Visual Workflows | Node editor for automation pipelines, MCP tool integration |
| AI Quant Lab | ML models, factor discovery, HFT, reinforcement learning trading |
| Global Intelligence | Maritime tracking, geopolitical analysis, relationship mapping |
Technology
- Core: C++20, Qt6 (Widgets, Charts, Network, Sql, Concurrent, Multimedia)
- Analytics: Python 3.11+ via QProcess (100+ scripts outputting JSON)
- Build: CMake 3.27.7, Ninja, Unity build
- Platforms: Windows (MSVC), macOS (Clang), Linux (GCC)
- Database: SQLite with migration system (18 migrations as of v4.0.2)
- MCP: Model Context Protocol with 37 tools + external server support
- LLM: 9 providers (OpenAI, Anthropic, Gemini, Groq, DeepSeek, MiniMax, OpenRouter, Ollama, Fincept)
Business Model
- Free: AGPL-3.0 for personal, educational, non-commercial use
- Commercial: Custom licensing, contact support@fincept.in
- University: $799/month for 20 accounts
- Data/APIs: Fincept Data & APIs require commercial subscription
Roadmap
| Timeline | Milestone |
|---|---|
| Shipped | Real-time streaming, 16 broker integrations, multi-account trading, PIN auth, theme system |
| Q2 2026 | Options strategy builder, multi-portfolio management, 50+ AI agents |
| Q3 2026 | Programmatic API, ML training UI, institutional features |
| Future | Mobile companion, cloud sync, community marketplace |
Architecture Highlights
See fincept-terminal-architecture for detailed C++ architecture. Key subsystems:
- datahub-architecture — In-process pub/sub data layer
- mcp-system — LLM tool calling via MCP
- fincept-workflow-engine — Visual node-based workflow system
- broker-interface — Unified trading broker abstraction
- python-integration — Embedded Python analytics pipeline
- fincept-storage-system — SQLite with repository pattern
- fincept-auth-system — JWT auth + MFA + PIN
- fincept-ai-agents — 37-agent framework
- llm-providers — 9 LLM provider integration