What is Fincept Terminal?
Fincept Terminal is a desktop app for market research, written in C++20 with a Qt6 interface and embedded Python 3.11 for analytics. The open-source edition covers DCF valuation, portfolio optimisation, VaR and Sharpe ratios, derivatives and fixed-income pricing and an 18-module QuantLib suite; more than 100 data connectors; 37 trader, investor, economic and geopolitics AI agents; a paper-trading engine with 16 broker integrations; a visual node editor; MCP tools; and maritime and geopolitical screens.
The AI agents use your own key for OpenAI, Anthropic, Gemini, Groq, DeepSeek or OpenRouter, or a local model through Ollama. Free public feeds such as FRED, IMF, World Bank, DBnomics and Yahoo Finance sit alongside connectors that need your own API key; the source lists 75 key slots, from free government keys (Census, BLS, EIA) to commercial vendors such as Intrinio, EODHD, FMP, Twelve Data, Glassnode and MarineTraffic.
Installers are published for Windows 10/11 x64, Linux x64 (Debian, Ubuntu, Fedora, RHEL and a portable build) and macOS 13+ on Apple Silicon. v4.5.1 shipped on 13 October 2026; the open edition now gets one release a month while Fincept develops a closed Enterprise edition.
Is Fincept Terminal worth it?
Fincept Terminal puts more free market tooling into one desktop app than anything else we review, with 33,552 stars to show for it, and the first thing to check before installing it is the licence, not the features. GitHub reports the licence as NOASSERTION, meaning it cannot match the file to a standard licence, and the reason is that the repository says two different things.
The LICENSE file opens with the AGPL-3.0 notice and then adds a "dual licensing notice" (document version 2.0, in force from 30 April 2026): AGPL-3.0 only for personal use, individual learning, individual students' academic research and contributions; a paid commercial licence for any business or internal company use, startups included; liquidated damages from USD 50,000 per organisation per year; Indian law and Delhi courts; and a contributor clause that assigns your contributions to Fincept. docs/COMMERCIAL_LICENSE.md, version 3.0 from 11 August 2026, says the opposite: the repository is AGPL-3.0-or-later and nothing else, the dual-licensing arrangement and the v2.0 terms are withdrawn and "not asserted against any user", and companies that want to avoid copyleft should buy the closed Enterprise edition. The README agrees with the newer document. AGPL-3.0 section 7 also lets recipients remove "further restrictions" added to an AGPL notice. Our reading: under the newer terms internal company use is allowed, with AGPL obligations if you distribute it or serve a modified version over a network, but until Fincept fixes the LICENSE file a firm should get legal advice before relying on that.
The features are real and broad. The free path uses public feeds such as FRED, IMF, World Bank, DBnomics and Yahoo Finance; deeper market data needs your own keys for commercial vendors, which bill you directly, and the README warns that the open build's real cost is your own data and LLM bills, "charged per token with no ceiling". The 37 AI agents work with any of seven LLM providers including local Ollama. Paper trading and 16 broker integrations come with the open build, and our reading of the source found a Fincept account sign-in with a mandatory PIN on first login, with no guest mode.
The catch: this is now the secondary edition. The README says the team's daily work is on Enterprise and the open repo ships monthly, and Enterprise is where deep research agent teams and managed live routing live. Nothing in either edition is investment advice; the licence document says so explicitly, and AI agent output on a ticker is a model's opinion.
Our take: against TradingAgents, which is a research framework for one multi-agent decision, Fincept is the whole desk on your screen; against TradingView MCP, which drives a charting app you already use, it replaces the app. For a student or hobbyist investor that is a lot of free software. For anyone at a company, the licence comes first.
Where it earns its place
A finance master's student writing a dissertation on emerging-market debt
Pull macro series and run valuation and risk models in one place
Use the free IMF, World Bank, DBnomics and FRED connectors with the fixed-income and VaR modules; personal academic use is covered under both licence texts. Cost is zero unless you add an LLM key.
A retail investor managing their own portfolio
Get a second opinion on a stock from several AI analyst personas before buying
Run the trader and investor agents on a local Ollama model to avoid token bills, then check the result against the DCF screen. Treat the agents' output as opinion, not advice.
A quant developer at a five-person crypto fund
Prototype strategies with the node editor and paper trading
Get legal sign-off first, since the LICENSE file still demands a commercial licence for internal use while the newer licensing document withdraws that. Enterprise, from $15 per user per month, is the route that avoids the question.
Before you commit
- Setup
- Download the v4.5.1 installer (.exe, .deb, .rpm, .run or .dmg) and sign in with a Fincept account; building from source needs pinned CMake 3.27.7, Ninja 1.11.1, Qt 6.8.3 and Python 3.11.9.
- Integrations
- OpenAI, Anthropic, Gemini, Groq, DeepSeek, OpenRouter and Ollama; FRED, IMF, World Bank, DBnomics, AkShare, Polygon, Kraken, Yahoo Finance and 75 keyed connectors; 16 brokers; MCP tools.
- Data and privacy
- Local SQLite storage; API keys are entered in Settings and passed to the Python connectors; prompts go to your chosen LLM provider. Cloud telemetry is opt-in and posts only to an endpoint you configure.
- Cost at scale
- Software free for individuals; Fincept Pro $10/month for cloud credits; commercial data vendors and per-token LLM costs scale with use; Enterprise $15 to $45 per user per month.
- Limits
- Apple Silicon only on macOS; source builds need 5 GB of free RAM for linking; monthly release cadence; 20 open issues and pull requests.
What’s good
- Native C++ app with installers for Windows, Linux and Apple Silicon Macs
- 100+ data connectors, many free public sources
- 37 AI agents on your own key, including local Ollama
- Serious analytics: DCF, VaR, derivatives pricing and QuantLib
- Paper trading and 16 broker integrations in the open build
What’s not
- LICENSE file and licensing document contradict each other
- Open edition now ships monthly behind a closed Enterprise build
- Requires a Fincept account sign-in, as we read the source
- Contributor clause in LICENSE assigns contributions to Fincept
- Commercial data feeds and LLM usage billed separately
Best for
Students, hobbyist investors and individual researchers who want a free Bloomberg-style desktop with AI agents and accept bringing their own data and LLM keys.
Fincept Terminal alternatives
Fincept Terminal: common questions
- Is Fincept Terminal worth it?
- Fincept Terminal packs a remarkable amount of free market tooling into one native app, but its licence files contradict each other, so only individuals should use it without a lawyer's read. We rate it 3.5 out of 5.
- How much does Fincept Terminal cost?
- Open edition free under AGPL-3.0, with your own data and LLM bills. Fincept account free or Pro $10/month. Closed Enterprise edition $15, $30 or $45 per user per month.
- What are the downsides of Fincept Terminal?
- LICENSE file and licensing document contradict each other; open edition now ships monthly behind a closed Enterprise build; requires a Fincept account sign-in, as we read the source; contributor clause in LICENSE assigns contributions to Fincept; commercial data feeds and LLM usage billed separately.
- Who is Fincept Terminal best for?
- Students, hobbyist investors and individual researchers who want a free Bloomberg-style desktop with AI agents and accept bringing their own data and LLM keys.
- How much does Fincept Terminal cost for a team or in production?
- Software free for individuals; Fincept Pro $10/month for cloud credits; commercial data vendors and per-token LLM costs scale with use; Enterprise $15 to $45 per user per month.
- Is Fincept Terminal safe for company data?
- Local SQLite storage; API keys are entered in Settings and passed to the Python connectors; prompts go to your chosen LLM provider. Cloud telemetry is opt-in and posts only to an endpoint you configure.
- What are the best Fincept Terminal alternatives?
- The closest alternatives we have reviewed are TradingAgents and Vibe-Trading.
Answers checked Nov 7, 2026.