Zonthur is a quantitative finance platform that uses causal relationship graphs to generate trading signals for financial assets. The platform helps you discover relationships between assets, generate and evaluate trading signals, and backtest portfolio strategies.
Causal Graph — A network of financial assets connected by causal relationships. If asset A causally influences asset B, movements in A can help predict movements in B. The graph is the foundation of all analysis in Zonthur.
Trading Signal — A buy, sell, or neutral recommendation for an asset, generated by aggregating forecasts from causally related assets. Signals are configurable with parameters like minimum consensus, directional accuracy thresholds, and forecast horizons.
Backtest — A historical simulation that applies a trading signal to past market data to evaluate how it would have performed. Backtests produce metrics like Sharpe ratio, maximum drawdown, win rate, and total return.
Workspace — A saved snapshot of your entire analysis state: which assets are visible on the graph, your trading signals, portfolio backtest parameters, and UI layout. Workspaces let you switch between different analysis configurations.
| Feature | Description |
|---|---|
| Asset Discovery | Browse all assets, explore their causal and correlation relationships |
| Causal Network Graph | Interactive visualization of asset relationships |
| Top Forecasts | View the best-forecasted assets ranked by prediction quality |
| Trading Signals | Create and configure trading signals with custom parameters |
| Backtesting | Run single-asset backtests to evaluate signal performance |
| Portfolio Backtesting | Test multi-asset portfolio strategies with position sizing and risk budgets |
| Network Analytics | Detailed metrics on network structure and prediction accuracy |
| Workspaces | Save, load, and share analysis configurations |