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Build a comprehensive macroeconomic dashboard covering rates, inflation, labor, yield curve, and market sentiment to identify the current macro regime.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
Produce an end-of-day market recap covering index performance, sector rotation, notable movers, and key headlines to frame the next session.
Run a pre-market scan across indices, sectors, sentiment, and upcoming catalysts to produce a structured morning briefing with directional bias.
Analyze sector performance across timeframes, detect risk-on vs risk-off rotation, and identify overweight/underweight sector picks with technical confirmation.
Guidance on using stock and crypto market data tools effectively -- when to use which tools, how to interpret results, and how to combine data sources
Run a pre-trade risk assessment scoring volatility, technicals, short interest, earnings proximity, and market regime into a 0-8 risk flag system.
Run a tailored pre-market scan that prioritizes the context from your saved profile and watchlists.
| name | macro-dashboard |
| description | Build a comprehensive macroeconomic dashboard covering rates, inflation, labor, yield curve, and market sentiment to identify the current macro regime. |
Act as a macro strategist. Collect key economic indicators, yield curve data, inflation metrics, labor market signals, market breadth, and market sentiment to produce a unified macro picture. Cross-reference all data points to classify the current economic regime.
Prerequisite: This skill requires FRED_API_KEY to be configured. Without it, only market indices and sentiment data are available.
Announce at start: "Building macro dashboard -- collecting economic indicators, yield curve, inflation, labor, breadth, and sentiment data."
| Tool | Parameters | Priority |
|---|---|---|
fred_indicator | series_id=fed_funds | REQUIRED |
fred_indicator | series_id=cpi | REQUIRED |
fred_indicator | series_id=core_pce | REQUIRED |
fred_indicator | series_id=unemployment | REQUIRED |
fred_indicator | series_id=treasury_10y | REQUIRED |
fred_indicator | series_id=treasury_2y | REQUIRED |
fred_indicator | series_id=gdp (quarterly, may be 1-3 months stale) | ENRICHMENT |
fred_indicator | series_id=initial_claims | ENRICHMENT |
fred_economic_calendar | limit=15 | REQUIRED |
tradingview_market_indices | (default) | REQUIRED |
market_breadth | universe=major_us | ENRICHMENT |
sentiment_fear_greed | (default) | ENRICHMENT |
DO NOT proceed to analysis until ALL REQUIRED calls return. ENRICHMENT failures are acceptable.
Cross-reference the collected data across five dimensions:
Synthesize all five dimensions into a single macro regime classification.
DO NOT reproduce raw tool output. Synthesize and interpret.
| Indicator | Latest | Prior | Trend |
|---|---|---|---|
| Fed Funds Rate | x.xx% | x.xx% | STEADY / UP / DOWN |
| CPI (YoY) | x.x% | x.x% | ... |
| Core PCE (YoY) | x.x% | x.x% | ... |
| Unemployment | x.x% | x.x% | ... |
| GDP (QoQ ann.) | x.x% | x.x% | ... |
| Initial Claims | xxxK | xxxK | ... |
List the most market-moving releases from the economic calendar with dates.
Classification: EXPANSION / SLOWDOWN / CONTRACTION / RECOVERY
Provide 3-4 sentences of reasoning tying the data dimensions together.
Data from TradingView and Yahoo Finance is 15-minute delayed. CBOE and sentiment data is end-of-day. Verify critical levels with real-time data before executing trades.
