Free Bloomberg Killer! Fincept Terminal with 23.8k+ GitHub Stars – The Hottest Open-Source Financial Terminal, Bringing Wall Street-Grade Tools to Everyone!

Key highlights:

1. Pure C++20 native development, smooth and lag-free
2. 37 AI agents (personalities of investment masters like Buffett, Munger, etc.)
3. 100+ real-time data sources + drag-and-drop node workflow
4. Professional charts, quantitative backtesting, portfolio optimization, VaR risk

Bloomberg costs $27,000/year vs. completely free and open source. Essential for quants, independent investors, and financial analysts! Download now:

Fincept-Corporation/FinceptTerminal

Source: https://github.com/Fincept-Corporation/FinceptTerminal

Fincept Terminal

License: AGPL-3.0 (https://github.com/Fincept-Corporation/FinceptTerminal/blob/main/LICENSE)
C++20 (https://isocpp.org/)
Qt6 (https://www.qt.io/)
Python (https://www.python.org/)
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GitHub Release (https://github.com/Fincept-Corporation/FinceptTerminal/releases)
GitHub Issues (https://github.com/Fincept-Corporation/FinceptTerminal/issues)
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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 (https://github.com/Fincept-Corporation/FinceptTerminal/releases) · ⚖️ License (https://github.com/Fincept-Corporation/FinceptTerminal/blob/main/docs/COMMERCIAL_LICENSE.md) · 💬 Discussions (https://github.com/Fincept-Corporation/FinceptTerminal/discussions) · 💬 Discord (https://discord.gg/ae87a8ygbN) · 🤝 Partner (https://github.com/Fincept-Corporation/FinceptTerminal/blob/main/docs/COMMERCIAL_LICENSE.md)

Fincept Terminal 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

Installation

Option 1 — Download Installer (Recommended)

Latest release: v4.0.3 — View all releases (https://github.com/Fincept-Corporation/FinceptTerminal/releases/tag/v4.0.3)

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  

The 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-terminal  

Option 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)

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-qt  

Step 1 — Configure (one-time, or after CMakeLists.txt changes):

cmake --preset win-release # Windows (PowerShell)  
cmake --preset linux-release # Linux  
cmake --preset macos-release # macOS  

Step 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 # macOS  

Older 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.ps1
auto-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-release  

Run

./build/<preset>/FinceptTerminal # Linux / macOS (preset build)  
.\build\<preset>\FinceptTerminal.exe # Windows (preset build)  

Troubleshooting

1. “Could not find Qt6 6.8.3” — verify CMAKE_PREFIX_PATH points to the Qt 6.8.3 install, not 6.5/6.6/6.8.
2. MSVC version error — use VS 2022 17.8+ (MSVC 19.38+). Check with cl /?.
3. Need to unblock with a different Qt minor? Pass -DFINCEPT_ALLOW_QT_DRIFT=ON (local testing only — never for releases or CI).
4. 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

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 (https://github.com/Fincept-Corporation/FinceptTerminal/issues)
• Request Feature (https://github.com/Fincept-Corporation/FinceptTerminal/discussions)

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 [email protected] with your institution name.

University Licensing Details (https://github.com/Fincept-Corporation/FinceptTerminal/blob/main/docs/COMMERCIAL_LICENSE.md)

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 (https://github.com/Fincept-Corporation/FinceptTerminal/blob/main/docs/COMMERCIAL_LICENSE.md) for binding terms.

Dual Licensed: AGPL-3.0 (Open Source) + Fincept Commercial License

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: [email protected] · Full terms: docs/COMMERCIAL_LICENSE.md (https://github.com/Fincept-Corporation/FinceptTerminal/blob/main/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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