Important
Maintenance notice — June 2026 Due to funding constraints, the public Fincept Terminal is moving to one update per month and is no longer maintained on a daily basis. The team is now focused on a subscription-based private edition of the terminal and a new project, Quantcept. This open-source repo stays public and will not be deleted.
Fincept Terminal
Your Thinking is the Only Limit. The Data Isn't.
State-of-the-art financial intelligence platform with institutional-grade financial analytics, AI automation, and unlimited data connectivity.
📥 Download · ⚖️ License · 💬 Discussions · 💬 Discord · 🤝 Partner
 Equity Research |
 Portfolio |
 News |
 Node Editor |
About
Fincept Terminal v4 is a pure native C++20 desktop application. It uses Qt6 for UI and rendering, embedded Python for analytics, and delivers professional terminal-class performance in a single native binary.
Features
| Feature | Description |
|---|---|
| 📊 Multi-Asset Analytics | DCF models, portfolio optimization, risk metrics (VaR, Sharpe), derivatives pricing across equity, fixed income, derivatives, portfolio, and alternatives via embedded Python |
| 🤖 AI Agents | 37 agents across Trader/Investor (Buffett, Graham, Lynch, Munger, Klarman, Marks…), Economic, and Geopolitics frameworks; 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, 16 broker integrations (Zerodha, Angel One, Upstox, Fyers, Dhan, Groww, Kotak, IIFL, 5paisa, AliceBlue, Shoonya, Motilal, IBKR, Alpaca, Tradier, Saxo) |
| 🔬 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 |
Installation
Option 1 — Download Installer (Recommended)
Latest release: v4.3.0 — View all releases
| Platform | Download | Run |
|---|---|---|
| Windows x64 | FinceptTerminal-Windows-x64-setup.exe | Run installer → launch FinceptTerminal.exe |
| Linux x64 (AppImage) | FinceptTerminal-Linux-x64.run | chmod +x → run installer |
| Linux x64 (Debian/Ubuntu) | FinceptTerminal-Linux-x64.deb | sudo apt install ./FinceptTerminal-*.deb |
| Linux x64 (Fedora/RHEL) | FinceptTerminal-Linux-x64.rpm | sudo dnf install ./FinceptTerminal-*.rpm |
| macOS Apple Silicon | FinceptTerminal-macOS-arm64.dmg | Open DMG → drag to Applications |
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.shThe script handles: compiler check, CMake, Qt6, Python, build, and launch.
Windows: No setup script — use the manual build steps in Option 4 below. It's just two commands.
Option 3 — Docker (CI / Developer Environments)
Note: Docker is intended for CI/CD testing and development environments only. For the best experience, use the pre-built installers in Option 1 above. Docker requires Linux with X11. Windows and macOS are not supported.
# Build from source (Linux + X11 required)
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-terminalOption 4 — Build from Source (Manual)
Versions are pinned. Use the exact versions below. Newer or older versions are unsupported and may fail to build or produce unstable binaries.
Prerequisites (exact versions)
| 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 | 6.8.3 | 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+ | — |
Install Qt 6.8.3
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). 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 6.8.3 > macOS (install path: ~/Qt/6.8.3/macos)
Build (using CMake presets — recommended)
git clone https://github.com/Fincept-Corporation/FinceptTerminal.git
cd FinceptTerminal/fincept-qtStep 1 — Configure (one-time, or after CMakeLists.txt changes):
cmake --preset win-release # Windows (PowerShell)
cmake --preset linux-release # Linux
cmake --preset macos-release # macOSStep 2 — Compile (run this for every code change):
cmake --build --preset win-release # Windows
cmake --build --preset linux-release # Linux
cmake --build --preset macos-release # macOSOlder or RAM-constrained machines: add
--parallel 4(or any small number) to cap concurrent compile jobs. The default saturates every core, which can overheat older CPUs and slow the rest of your system. Example:cmake --build --preset macos-release --parallel 4.
Debug variants: replace release with debug (e.g. win-debug, linux-debug, macos-debug).
Windows prerequisite: The PowerShell profile at
~/Documents/PowerShell/Microsoft.PowerShell_profile.ps1auto-initializes VS 2022 on every new terminal — open a fresh PowerShell and cmake works directly.
Build (manual — if presets can't resolve your Qt path)
# Windows (PowerShell)
cmake -B build/win-release -G Ninja -DCMAKE_BUILD_TYPE=Release `
-DCMAKE_PREFIX_PATH="C:/Qt/6.8.3/msvc2022_64"
cmake --build build/win-release# Linux
cmake -B build/linux-release -G Ninja -DCMAKE_BUILD_TYPE=Release \
-DCMAKE_PREFIX_PATH="$HOME/Qt/6.8.3/gcc_64"
cmake --build build/linux-release
# macOS
cmake -B build/macos-release -G Ninja -DCMAKE_BUILD_TYPE=Release \
-DCMAKE_OSX_DEPLOYMENT_TARGET=11.0 \
-DCMAKE_PREFIX_PATH="$HOME/Qt/6.8.3/macos"
cmake --build build/macos-releaseRun
./build/<preset>/FinceptTerminal # Linux / macOS (preset build)
.\build\<preset>\FinceptTerminal.exe # Windows (preset build)Troubleshooting
- "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/<preset>/and re-run configure.
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.
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
- Full buy-side analyst toolkit — equity, portfolio, derivatives, fixed income, corporate finance, alternatives
- 100+ data connectors — from Yahoo Finance to government databases
- Free & Open Source (AGPL-3.0) with commercial licenses available
Roadmap
| 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 |
Contributing
We're building the future of financial analysis — together.
Contribute: New data connectors, AI agents, analytics modules, C++ screens, documentation
For Universities & Educators
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
- Equity, portfolio, derivatives, fixed income, and economics analytics built-in
Interested? Email support@fincept.in with your institution name.
License
⚠️ Cloning, forking, or modifying this repository does NOT grant commercial rights. A paid Commercial License is required for any business or internal company use — including forks that remove or replace Fincept's APIs with your own data sources. See Commercial License for binding terms.
Dual Licensed: AGPL-3.0 (Open Source) + Fincept Commercial License
| ✅ Free under AGPL-3.0 | Personal use · Individual learning · Academic research · Open-source contributions to this repository |
| ❌ Commercial License required | Any business use (paid or free) · Internal company use · Startups at any stage · Hedge funds, brokerages, banks, fintechs · SaaS / hosted offerings · White-label or reselling · Forks that strip or replace Fincept APIs · Consulting deliverables · Employee training or evaluation by for-profit entities |
The license attaches to the codebase and any Derivative Work of it, not to specific API integrations. Substituting Fincept APIs with your own — or with any third party's — does not sever or extinguish the licensing obligation. These terms apply to every version, branch, tag, and commit of Fincept Terminal — past, present, and future — and remain in force indefinitely until superseded by a subsequent published version.
Trademarks. "Fincept", "Fincept Terminal", and the Fincept logo are trademarks of Fincept Corporation. Use in any forked, derivative, rebranded, or commercial product requires prior written permission. Removal or rebranding of these marks in a fork does not extinguish the underlying licensing obligation.
Enforcement & Penalties. Fincept Corporation actively monitors public repositories, app stores, cloud marketplaces, and SaaS platforms for unlicensed Commercial Use, and pursues DMCA takedowns, cease-and-desist notices, and civil action under Indian and international law. Unauthorized commercial use is subject to liquidated damages starting at USD 50,000 per organization per year, with higher amounts for unauthorized SaaS distribution, fork-and-replace deployments, and trademark misuse — in addition to backdated license fees, disgorgement of profits, and recovery of legal costs. Joint and several liability applies: any company that engages a third-party developer, integrator, or consultancy to build, modify, or deploy the Software is fully liable alongside that developer for any unauthorized use. Governing law: India · Exclusive jurisdiction: Delhi, India.
Contact for licensing: support@fincept.in · Full terms: docs/COMMERCIAL_LICENSE.md
© 2025–2026 Fincept Corporation. All rights reserved.
Your Thinking is the Only Limit. The Data Isn't.
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