Fincept Terminal is a native C++20 desktop application designed as a comprehensive financial intelligence platform comparable to Bloomberg Terminal. Built by Fincept Corporation and available at https://fincept.in, the application provides institutional-grade financial analytics, market data connectivity, and AI-driven investment research tools. The repository is classified across multiple financial domains including Financial Terminal, Market Data, Real-time Data, Charting Tools, Financial Analytics, Investment Platform, Trading Platform, and Stock Market analysis.
The application is built with Qt6 for its user interface and rendering, incorporates embedded Python for analytics capabilities, and delivers professional terminal-class performance as a single native binary. The platform supports multi-asset analytics including DCF models, portfolio optimization, and risk metrics such as Value at Risk and Sharpe ratios across equity, fixed income, derivatives, portfolio, and alternative asset classes. A distinctive feature is its integration of 37 AI agents spanning Trader/Investor frameworks named after renowned investors like Buffett, Graham, Lynch, and Munger, alongside Economic and Geopolitics frameworks. These agents support local LLM deployment and integrate with multiple AI providers including OpenAI, Anthropic, Gemini, Groq, DeepSeek, MiniMax, OpenRouter, and Ollama.
The platform connects to over 100 data sources including DBnomics, Polygon, Kraken, Yahoo Finance, FRED, IMF, World Bank, and AkShare, with optional alternative data overlays such as Adanos market sentiment. Real-time trading capabilities span cryptocurrency through Kraken and HyperLiquid WebSocket connections, equity markets, and algorithmic trading with a paper trading engine. The application integrates with 16 broker platforms including Zerodha, Angel One, Upstox, Fyers, Dhan, Groww, Kotak, IIFL, 5paisa, AliceBlue, Shoonya, Motilal, Interactive Brokers, Alpaca, Tradier, and Saxo. Additional features include a QuantLib suite with 18 quantitative analysis modules, global intelligence capabilities for maritime tracking and geopolitical analysis, a visual node editor for automation workflows, and an AI Quant Lab supporting machine learning models and reinforcement learning trading strategies.
According to GitGenius activity tracking across 65 issues and pull requests, the repository demonstrates rapid response times with a median latency of 0.0 hours and mean latency of 32.3 hours. The most active issue labels are status:triage with 40 items, type:bug with 27 items, and type:performance with 4 items. Primary contributor tilakpatel22 has logged 98 events, with NeoVilsonWong contributing 9 events and kushal98457-ctrl contributing 8 events. The repository overlaps with contributors from openclaw/openclaw and mattpocock/skills projects.
As of June 2026, the project has transitioned to monthly updates due to funding constraints, with the team focusing on a subscription-based private edition and a new project called Quantcept available on npm. The open-source repository remains publicly available and will not be deleted. The application is distributed through pre-built installers for Windows x64, Linux x64, and macOS Apple Silicon, with version 4.1.0 being the latest release. The codebase requires exact pinned versions of dependencies including CMake 3.27.7, Ninja 1.11.1, Qt 6.8.3, and Python 3.11.9 for successful compilation from source.
