Argus
A desktop app for understanding a market before betting on it.
Argus combines Google Research's TimesFM 2.5 temporal forecasting model with a multi-agent pipeline of language models that debate the qualitative analysis, and a VectorBT backtester that checks every decision against mathematical evidence before it goes live.
On top of the analysis engine sits a full Portfolio Manager, integrated with CCXT to generate and execute orders on derivatives exchanges, with an institutional-grade money management framework and a fully autonomous auto-trading scheduler.
Today the trading automation covers BTC only: the data layer is multi-asset, but nothing else is traded autonomously yet — a limitation the project's own documentation states plainly.
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PlatformDesktop — Windows, macOS, Linux
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EngineTimesFM 2.5 + multi-agent pipeline
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InterfaceSix panels in a single window
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ScopeAutomated trading on BTC only
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LicenseAGPL v3 (commercial license available)
- Starts or stops the automated trading cycle, with a countdown to the next candle and a run log
- Manages spot and futures positions via CCXT: leverage, P&L, stop loss and take profit as ROI%
- Runs Pattern Matching (KNN) against BTC history, with a confidence score and target price
- Runs a TimesFM 2.5 temporal forecast on the same historical series
- Runs the multi-agent LLM pipeline and shows the full debate behind every decision
- Exports backtests and analysis to Excel
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