Your Thinking is the Only Limit. The Data Isn't.
A state‑of‑the‑art financial intelligence platform with institutional-grade analytics, AI automation, and unlimited data connectivity. Completely free and open‑source.
Financial Orchestrator is a pure‑native C++20 desktop application. It uses Qt6 for UI and rendering while embedding Python 3.11.9 for analytics, delivering Bloomberg‑class performance in a single binary. It is designed for retail investors, quantitative analysts, researchers, and financial professionals who require deep analytical tools without proprietary data dependencies.
DCF models, portfolio optimization, risk metrics (VaR, Sharpe), derivatives pricing across equity, fixed income, derivatives, portfolio, and alternatives.
37 agents across Trader/Investor frameworks (Buffett, Graham, Lynch, Munger, Klarman, Marks, …), plus Economic and Geopolitics frameworks. Supports local LLMs and multi‑provider integrations (OpenAI, Anthropic, Gemini, Groq, DeepSeek, MiniMax, OpenRouter, Ollama).
Connects to DBnomics, Polygon, Kraken, Yahoo Finance, FRED, IMF, World Bank, AkShare, government APIs, and optional alternative‑data overlays.
Crypto (Kraken/HyperLiquid WebSocket), equity, algo trading, paper trading engine, and 16 broker integrations.
18 quantitative analysis modules — pricing, risk, stochastic, volatility, fixed income.
Maritime tracking, geopolitical analysis, relationship mapping, satellite data.
Node editor for automation pipelines and MCP tool integration.
ML models, factor discovery, HFT, reinforcement learning trading.
Download the latest installer for your platform from the Releases page.
| Platform | Download |
|---|---|
| Windows x64 | FinancialOrchestrator‑Windows‑x64‑setup.exe |
| Linux x64 | FinancialOrchestrator‑Linux‑x64.run |
| macOS Apple Silicon | FinancialOrchestrator‑macOS‑arm64.dmg |
Clone and run the setup script — it installs all dependencies and builds the app automatically:
# Linux / macOS
git clone https://github.com/Archsec-Emman/Financial-Orchestrator.git
cd Financial-Orchestrator
chmod +x setup.sh && ./setup.shThe script handles: compiler check, CMake, Qt6, Python, build, and launch.
Windows: No setup script — use the manual build steps in Option 4 below.
Note: Docker is intended for CI/CD testing and development environments only. Linux with X11 is required; Windows and macOS are not supported.
# Build from source (Linux + X11 required)
git clone https://github.com/Archsec-Emman/Financial-Orchestrator.git
cd Financial-Orchestrator
docker build -t fiorch-terminal .
docker run --rm -e DISPLAY=$DISPLAY -v /tmp/.X11-unix:/tmp/.X11-unix fiorch-terminalVersions are pinned. Use the exact versions below. Newer or older versions are unsupported and may fail to build.
| Tool | Pinned Version |
|---|---|
| CMake | 3.27.7 |
| Ninja | 1.11.1 |
| C++ compiler | MSVC 19.38 (VS 2022 17.8) / GCC 12.3 / Apple Clang 15.0 (Xcode 15.2) |
| Qt | 6.8.3 |
| Python | 3.11.9 |
- Windows: Qt Online Installer → select
Qt 6.8.3 > MSVC 2022 64‑bit(install path:C:/Qt/6.8.3/msvc2022_64) - Linux: Qt Online Installer →
Qt 6.8.3 > Desktop gcc 64‑bit(install path:~/Qt/6.8.3/gcc_64) - macOS: Qt Online Installer →
Qt 6.8.3 > macOS(install path:~/Qt/6.8.3/macos)
git clone https://github.com/Archsec-Emman/Financial-Orchestrator.git
cd Financial-Orchestrator/fiorch-qt
# Configure (one‑time, or after CMakeLists.txt changes)
cmake --preset win-release # Windows
cmake --preset linux-release # Linux
cmake --preset macos-release # macOS
# Build
cmake --build build/win-release # Windows
cmake --build build/linux-release # Linux
cmake --build build/macos-release # macOS# Linux / macOS (preset build)
./build/*/FinancialOrchestrator
# Windows (preset build)
.\build\*\FinancialOrchestrator.exe- "Could not find Qt6 6.8.3" — verify
CMAKE_PREFIX_PATHpoints to the Qt 6.8.3 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/*/and re‑run configure.
After launching the application, you can:
- Connect to data sources via the 100+ built‑in connectors.
- Run AI agents to generate trade ideas and portfolio recommendations.
- Execute paper trades or connect to any of the 16 supported brokers for real trading.
- Build visual pipelines using the node editor for automation.
- Analyze quantitative models using the QuantLib Suite or the AI Quant Lab.
Financial-Orchestrator/
├── fiorch-qt/ # Main C++20 / Qt6 application source
├── docs/ # Documentation (ADRs, guides)
├── .github/ # GitHub workflows and templates
├── images/ # Assets and branding
├── setup.sh # One‑click build script (Linux/macOS)
├── Dockerfile # Docker build definition
├── LICENSE # MIT License
└── README.md # This file
We welcome contributions: new data connectors, AI agents, analytics modules, C++ screens, and documentation. Please review the contributing guides:
Report Bugs: GitHub Issues
Request Features: Discussions
This project is licensed under the MIT License – see the LICENSE file for details.
- GitHub Discussions: https://github.com/Archsec-Emman/Financial-Orchestrator/discussions
- Author: Archsec-Emman
| Timeline | Milestone |
|---|---|
| Shipped | Real‑time streaming, 16 broker integrations, multi‑account trading, PIN authentication, 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 |
If you find Financial Orchestrator valuable for your research or trading, please consider starring the repository. ⭐
Your Thinking is the Only Limit. The Data Isn't.