Argus — Advanced Market Forecast & AI Analysis. Quantitative price forecasting and
AI-driven analysis of cryptocurrency assets, with an integrated portfolio manager.
- Forecast — Google Research's TimesFM 2.5 foundation model for temporal prediction,
and KNN-DTW pattern matching over normalised log-returns. - Analyse — a cooperative multi-agent LLM pipeline that debates the qualitative case,
constrained by a built-in instant backtester so decisions rest on real evidence. - Execute — a portfolio manager on CCXT for derivatives exchanges, with an
institutional-grade money-management framework and an autonomous auto-trading scheduler.
exchanges: read the Disclaimer in the README before pointing it at a funded account.
Download
| Platform | File |
|---|---|
| Windows (x64) | Argus-1.0.0-windows-x64.zip |
| macOS (Apple silicon) | Argus-1.0.0-macos-arm64.zip |
| Linux (x64) | Argus-1.0.0-linux-x64.tar.gz |
Each archive is built on that platform's own runner — no cross-compilation, no emulation.
Unpack and run: no installation, and no Python needed. The builds are unsigned, so
Windows SmartScreen and macOS Gatekeeper warn on first launch.
Each archive unpacks to a folder holding the executable and a licenses/ directory: the
terms of everything Argus is built on, plus an inventory of every native library in the
build and where each licence determination came from. That inventory is generated on the
machine that produced the archive, so it describes what you actually downloaded.
Running from source instead is described in the
README.
Changes
See CHANGELOG.md.
Licence
Licensed AGPL-3.0-or-later — see
LICENSE. A commercial
licence, without the AGPL's obligations, is available for closed-source and redistribution
use: see
COMMERCIAL-LICENSE.md.