FinceptTerminal
FinceptTerminal is a modern finance application offering advanced market analytics, investment research, and economic data tools, designed for interactive exploration and data-driven decision-making in a user-friendly environment.
Install / Use
/learn @Fincept-Corporation/FinceptTerminalREADME
Fincept Terminal
<div align="center">Your Thinking is the Only Limit. The Data Isn't.
State-of-the-art financial intelligence platform with CFA-level analytics, AI automation, and unlimited data connectivity.
📥 Download · 📚 Docs · 💬 Discussions · 💬 Discord · 🤝 Partner

About
Fincept Terminal v4 is a pure native C++20 desktop application — a complete rewrite from the previous Tauri/React/Rust stack. It uses Qt6 for UI and rendering, embedded Python for analytics, and delivers Bloomberg-terminal-class performance in a single native binary.
Technology Stack
| Layer | Technologies | |-------|-------------| | Language | C++20 (MSVC / GCC / Clang) | | UI Framework | Qt6 Widgets | | Charts | Qt6 Charts | | Networking | Qt6 Network + Qt6 WebSockets | | Database | Qt6 Sql (SQLite) | | Analytics | Embedded Python 3.11+ (100+ scripts) | | Build | CMake 3.20+ |
Features
| Feature | Description | |-------------|-----------------| | 📊 CFA-Level Analytics | DCF models, portfolio optimization, risk metrics (VaR, Sharpe), derivatives pricing via embedded Python | | 🤖 AI Agents | 20+ investor personas (Buffett, Dalio, Graham), hedge fund strategies, local LLM support | | 🌐 100+ Data Connectors | DBnomics, Polygon, Kraken, Yahoo Finance, FRED, IMF, World Bank, AkShare, government APIs | | 📈 Real-Time Trading | Crypto (Kraken/HyperLiquid WebSocket), equity, algo trading, paper trading engine | | 🔬 QuantLib Suite | 18 quantitative analysis modules — pricing, risk, stochastic, volatility, fixed income | | 🚢 Global Intelligence | Maritime tracking, geopolitical analysis, relationship mapping, satellite data | | 🎨 Visual Workflows | Node editor for automation pipelines, MCP tool integration | | 🧠 AI Quant Lab | ML models, factor discovery, HFT, reinforcement learning trading |
40+ Screens
| Category | Screens | |----------|---------| | Core | Dashboard, Markets, News, Watchlist | | Trading | Crypto Trading, Equity Trading, Algo Trading, Backtesting, Trade Visualization | | Research | Equity Research, Screener, Portfolio, Surface Analytics, M&A Analytics, Derivatives, Alt Investments | | QuantLib | Core, Analysis, Curves, Economics, Instruments, ML, Models, Numerical, Physics, Portfolio, Pricing, Regulatory, Risk, Scheduling, Solver, Statistics, Stochastic, Volatility | | AI/ML | AI Quant Lab, Agent Studio, AI Chat, Alpha Arena | | Economics | Economics, DBnomics, AkShare, Asia Markets | | Geopolitics | Geopolitics, Gov Data, Relationship Map, Maritime, Polymarket | | Tools | Code Editor, Node Editor, Excel, Report Builder, Notes, Data Sources, Data Mapping, MCP Servers | | Community | Forum, Profile, Settings, Support, Docs, About |
Installation
Option 1 — Download Pre-built Binary (Recommended)
Pre-built binaries are available on the Releases page. No build tools required — just extract and run.
| Platform | Download | Run |
|----------|----------|-----|
| Windows x64 | FinceptTerminal-Windows-x64.zip | Extract → FinceptTerminal.exe |
| Linux x64 | FinceptTerminal-Linux-x64.tar.gz | Extract → ./FinceptTerminal |
| macOS (Apple Silicon) | FinceptTerminal-macOS-arm64.tar.gz | Extract → ./FinceptTerminal |
| macOS (Intel) | FinceptTerminal-macOS-x64.tar.gz | Extract → ./FinceptTerminal |
| macOS (Universal) | FinceptTerminal-macOS-universal.tar.gz | Extract → ./FinceptTerminal |
Option 2 — Quick Start (One-Click Build)
Clone and run the setup script — it installs all dependencies and builds the app automatically:
# Linux / macOS
git clone https://github.com/Fincept-Corporation/FinceptTerminal.git
cd FinceptTerminal
chmod +x setup.sh && ./setup.sh
# Windows — run from Developer Command Prompt for VS 2022
git clone https://github.com/Fincept-Corporation/FinceptTerminal.git
cd FinceptTerminal
setup.bat
The script handles: compiler check, CMake, Qt6, Python, build, and launch.
Option 3 — Docker
# Pull and run
docker pull ghcr.io/fincept-corporation/fincept-terminal:latest
docker run --rm -e DISPLAY=$DISPLAY -v /tmp/.X11-unix:/tmp/.X11-unix \
ghcr.io/fincept-corporation/fincept-terminal:latest
# Or build from source
git clone https://github.com/Fincept-Corporation/FinceptTerminal.git
cd FinceptTerminal
docker build -t fincept-terminal .
docker run --rm -e DISPLAY=$DISPLAY -v /tmp/.X11-unix:/tmp/.X11-unix fincept-terminal
Note: Docker is primarily intended for Linux. macOS and Windows require additional XServer configuration.
Option 4 — Build from Source (Manual)
Prerequisites
| Tool | Version | Windows | Linux | macOS |
|------|---------|---------|-------|-------|
| Git | latest | winget install Git.Git | apt install git | brew install git |
| CMake | 3.20+ | winget install Kitware.CMake | apt install cmake | brew install cmake |
| C++ compiler | C++20 | MSVC 2022 (Visual Studio) | apt install g++ | Xcode CLT: xcode-select --install |
| Qt6 | 6.5+ | See below | See below | See below |
| Python | 3.11+ | python.org | apt install python3 | brew install python |
Install Qt6
Windows:
# Via Qt online installer (recommended — includes windeployqt)
# Download from https://www.qt.io/download-qt-installer
# Select: Qt 6.x > MSVC 2022 64-bit
# Or via winget
winget install Qt.QtCreator
Linux (Ubuntu/Debian):
sudo apt install -y \
qt6-base-dev qt6-charts-dev qt6-tools-dev \
libqt6sql6-sqlite libqt6websockets6-dev \
libgl1-mesa-dev libglu1-mesa-dev
macOS:
brew install qt
Build
git clone https://github.com/Fincept-Corporation/FinceptTerminal.git
cd FinceptTerminal/fincept-qt
# Linux / macOS
cmake -B build -DCMAKE_BUILD_TYPE=Release
cmake --build build --parallel
# Windows (from Developer Command Prompt for VS 2022)
cmake -B build -DCMAKE_BUILD_TYPE=Release -DCMAKE_PREFIX_PATH="C:/Qt/6.x.x/msvc2022_64"
cmake --build build --config Release --parallel
Run
./build/FinceptTerminal # Linux / macOS
.\build\Release\FinceptTerminal.exe # Windows
What Sets Us Apart
Fincept Terminal is an open-source financial platform built for those who refuse to be limited by traditional software. We compete on analytics depth and data accessibility — not on insider info or exclusive feeds.
- Native performance — C++20 with Qt6, no Electron/web overhead
- Single binary — no Node.js, no browser runtime, no JavaScript bundler
- CFA-level analytics — complete curriculum coverage via Python modules
- 100+ data connectors — from Yahoo Finance to government databases
- Free & Open Source (AGPL-3.0) with commercial licenses available
Roadmap
Q1 2026: Qt6 migration complete, enhanced real-time streaming, advanced backtesting Q2 2026: Options strategy builder, multi-portfolio management, 50+ AI agents Future: Mobile companion, institutional features, programmatic API, ML training UI
Contributing
We're building the future of financial analysis — together.
Contribute: New data connectors, AI agents, analytics modules, C++ screens, documentation
- Contributing Guide
- C++ Contributing Guide
- Python Contributor Guide
- Report Bug
- [Request Feature](https://github.com/Fince
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