Fincept Terminal

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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 Bloomberg-terminal-class performance in a single native binary.

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Features

Feature	Description
📊 CFA-Level Analytics	DCF models, portfolio optimization, risk metrics (VaR, Sharpe), derivatives pricing 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

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Installation

Option 1 — Download Installer (Recommended)

Latest release: v4.0.2 — 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

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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.

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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.

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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)

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-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    # macOS

Debug variants: win-debug, linux-debug, macos-debug.

Build (manual — if presets can't resolve your Qt path)

# Windows (Developer Command Prompt for VS 2022)
cmake -B build -G Ninja -DCMAKE_BUILD_TYPE=Release ^
  -DCMAKE_PREFIX_PATH="C:/Qt/6.8.3/msvc2022_64"
cmake --build build

# Linux
cmake -B build -G Ninja -DCMAKE_BUILD_TYPE=Release \
  -DCMAKE_PREFIX_PATH="$HOME/Qt/6.8.3/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/6.8.3/macos"
cmake --build build

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.

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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
• 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

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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

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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

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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
• CFA curriculum analytics built-in

Interested? Email support@fincept.in with your institution name.

University Licensing Details

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License

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

Open Source (AGPL-3.0)

• Free for personal, educational, and non-commercial use
• Requires sharing modifications when distributed or used as network service
• Full source code transparency

Commercial License

• Required for business use or to access Fincept Data/APIs commercially
• Contact: support@fincept.in
• Details: Commercial License Guide

Trademarks

"Fincept Terminal" and "Fincept" are trademarks of Fincept Corporation.

© 2025-2026 Fincept Corporation. All rights reserved.

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