State-of-the-art financial intelligence platform with CFA-level analytics, AI automation, and unlimited data connectivity.
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 Equity Research |
 Portfolio |
 News |
 Node Editor |
Fincept Terminal v4 is a pure native C++20 desktop application. It uses Qt6 for UI and rendering, embedded Python for analytics, and delivers Bloomberg-terminal-class performance in a single native binary.
| 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, multi-provider (OpenAI, Anthropic, Gemini, Groq, DeepSeek, MiniMax, OpenRouter, Ollama) |
| 🌐 100+ Data Connectors | DBnomics, Polygon, Kraken, Yahoo Finance, FRED, IMF, World Bank, AkShare, government APIs, plus optional alternative-data overlays such as Adanos market sentiment for equity research |
| 📈 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 |
Latest release: v4.0.1 — View all releases
| Platform | Download | Run |
|---|---|---|
| Windows x64 | FinceptTerminal-Windows-x64-setup.exe | Run installer → launch FinceptTerminal.exe |
| Linux x64 | FinceptTerminal-Linux-x64.run | chmod +x → run installer |
| macOS Apple Silicon | FinceptTerminal-macOS-arm64.dmg | Open DMG → drag to Applications |
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.batThe script handles: compiler check, CMake, Qt6, Python, build, and launch.
# 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-terminalNote: Docker is primarily intended for Linux. macOS and Windows require additional XServer configuration.
Versions are pinned. Use the exact versions below. Newer or older versions are unsupported and may fail to build or produce unstable binaries.
| Tool | Pinned Version | Notes |
|---|---|---|
| Git | latest | — |
| CMake | 3.27.7 | Download |
| Ninja | 1.11.1 | Download |
| C++ compiler | MSVC 19.38 (VS 2022 17.8) / GCC 12.3 / Apple Clang 15.0 (Xcode 15.2) | C++20 required |
| Qt | 6.7.2 (LTS) | Qt Online Installer |
| Python | 3.11.9 | python.org |
| Platform SDK | Win10 SDK 10.0.22621.0 / macOS SDK 14.0 (deploy 11.0+) / glibc 2.31+ | — |
Windows: Qt Online Installer → select Qt 6.7.2 > MSVC 2022 64-bit (install path: C:/Qt/6.7.2/msvc2022_64)
Linux: Qt Online Installer → Qt 6.7.2 > Desktop gcc 64-bit (install path: ~/Qt/6.7.2/gcc_64). Or for system packages, install qt6-base-dev qt6-charts-dev qt6-tools-dev qt6-base-private-dev libqt6websockets6-dev libgl1-mesa-dev — note system packages may be a different 6.x minor.
macOS: Qt Online Installer → Qt 6.7.2 > macOS (install path: ~/Qt/6.7.2/macos)
git clone https://github.com/Fincept-Corporation/FinceptTerminal.git
cd FinceptTerminal/fincept-qt
# Configure + build (pick your platform)
cmake --preset win-release && cmake --build --preset win-release # Windows (Dev Cmd for VS 2022)
cmake --preset linux-release && cmake --build --preset linux-release # Linux
cmake --preset macos-release && cmake --build --preset macos-release # macOSDebug variants: win-debug, linux-debug, macos-debug.
# Windows (Developer Command Prompt for VS 2022)
cmake -B build -G Ninja -DCMAKE_BUILD_TYPE=Release ^
-DCMAKE_PREFIX_PATH="C:/Qt/6.7.2/msvc2022_64"
cmake --build build
# Linux
cmake -B build -G Ninja -DCMAKE_BUILD_TYPE=Release \
-DCMAKE_PREFIX_PATH="$HOME/Qt/6.7.2/gcc_64"
cmake --build build
# macOS
cmake -B build -G Ninja -DCMAKE_BUILD_TYPE=Release \
-DCMAKE_OSX_DEPLOYMENT_TARGET=11.0 \
-DCMAKE_PREFIX_PATH="$HOME/Qt/6.7.2/macos"
cmake --build build./build/<preset>/FinceptTerminal # Linux / macOS (preset build)
.\build\<preset>\FinceptTerminal.exe # Windows (preset build)- "Could not find Qt6 6.7.2" — verify
CMAKE_PREFIX_PATHpoints to the Qt 6.7.2 install, not 6.5/6.6/6.8. - MSVC version error — use VS 2022 17.8+ (MSVC 19.38+). Check with
cl /?. - Need to unblock with a different Qt minor? Pass
-DFINCEPT_ALLOW_QT_DRIFT=ON(local testing only — never for releases or CI). - Clean rebuild: delete
build/<preset>/and re-run configure.
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.
Recent builds also support optional Adanos Market Sentiment connectivity in Data Sources → Alternative Data. When configured, Equity Research can surface cross-source retail sentiment snapshots across Reddit, X, finance news, and Polymarket. Without an active Adanos connection, the feature remains dormant and the rest of the app behaves exactly as before.
- 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
| Timeline | Milestone |
|---|---|
| Q1 2026 | Real-time streaming, advanced backtesting, broker integrations |
| 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 |
We're building the future of financial analysis — together.
Contribute: New data connectors, AI agents, analytics modules, C++ screens, documentation
Bring professional-grade financial analytics to your classroom.
- $799/month for 20 accounts
- Full access to Fincept Data & APIs
- Perfect for finance, economics, and data science courses
- CFA curriculum analytics built-in
Interested? Email support@fincept.in with your institution name.
Dual Licensed: AGPL-3.0 (Open Source) + Commercial
- Free for personal, educational, and non-commercial use
- Requires sharing modifications when distributed or used as network service
- Full source code transparency
- Required for business use or to access Fincept Data/APIs commercially
- Contact: support@fincept.in
- Details: Commercial License Guide
"Fincept Terminal" and "Fincept" are trademarks of Fincept Corporation.
© 2025-2026 Fincept Corporation. All rights reserved.
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