liquiditywatch macro stress

Monitoring U.S. financial stress requires synthesizing disparate data from Treasury markets, funding desks, and Fed policy. This skill provides read-only access to E3D's LiquidityWatch macro engine, delivering structured evaluations of systemic liquidity and market tension directly into your development environment.

What it does

• Headline tracking retrieves the current U.S. Financial Stress Score (0-100), market regime, and current phase.
• Trend analysis pulls up to 365 days of historical evaluations to identify shifts in liquidity indicators and sub-engine scores.
• Causal mapping visualizes how stress propagates through nodes like state, trend, and evidence with polarity and confidence metrics.
• Crypto triggers provides macro-derived price levels for BTC, ETH, and XRP based on current liquidity conditions.
• Risk modeling reports on controlled break risks and the probability of a central bank liquidity response.

How it works

1. Snapshots use the get_macro_snapshot tool to pull the latest published drivers, next triggers, and observed facts.
2. History uses get_macro_history with a defined limit to calculate trends and sub-score movements.
3. Propagation uses get_macro_causal_graph to map dependencies between funding stress and broader macro triggers.

Frameworks & tools

This skill utilizes the Model Context Protocol (MCP) to interface with the E3D LiquidityWatch hosted server via a streamable HTTP transport.

Why this beats prompting it yourself

Standard LLMs lack real-time visibility into specialized funding-market engines and Treasury stress metrics. This skill ensures your agent uses structured, periodically updated macro data rather than hallucinating market conditions or relying on stale training data.

Use cases

• Monitor systemic risk drivers for automated macro reporting tools.
• Analyze 90-day stress trends to identify shifts in market regimes.
• Evaluate macro-to-crypto price triggers for portfolio monitoring.
• Map causal relationships between Treasury volatility and funding stress.

Known limitations

The score is published periodically and is not a real-time stream. Indicators are directional signals rather than calibrated probabilities and should not be treated as financial advice.