Macro Calendar & Regime Analyst
Economic calendar tracking, earnings dates, macro regime classification using the Ray Dalio framework, event impact analysis, and portfolio-aware event exposure mapping.
When to Use
USE this skill when:
- âwhatâs on the economic calendar this weekâ
- âwhen is the next Fed meetingâ / âFOMC scheduleâ
- âmacro regimeâ / âare we in stagflationâ
- âhow will CPI affect my portfolioâ
- âearnings calendarâ / âwhen does AAPL reportâ
- âwhatâs the current macro environmentâ
- âyield curveâ / âis the curve invertedâ
- âcross-market impact of rate hikesâ
When NOT to Use
DONâT use this skill when:
- User wants asset-specific technical analysis â use fin-expert
- User wants on-chain blockchain metrics â use fin-onchain
- User wants to execute a trade â use fin-trading
- User wants news headlines or sentiment â use fin-news-intel
- User wants to backtest a strategy â use fin-backtest
Tools
Existing Tools
fin_market_priceâ price data for cross-asset impact analysisfin_market_overviewâ broad market snapshot for regime contextfin_info_searchâ search for macro event analysis and commentaryfin_info_digestâ digest of macro-relevant newsfin_portfolio_positionsâ user holdings for event exposure mapping
Macro-Specific Tools (Documented)
-
fin_econ_calendarâ upcoming economic data releases- Parameters:
timeframe(today | this_week | next_week | this_month),importance(high | medium | all),country(US | EU | CN | JP | GB | all) - Returns: event list with date, time, name, previous value, consensus forecast, importance rating
- Parameters:
-
fin_earnings_calendarâ upcoming earnings reports- Parameters:
timeframe(today | this_week | next_week),sector(optional filter),watchlist_only(boolean, filter to userâs holdings) - Returns: company, report date, time (pre/post market), consensus EPS, consensus revenue, surprise history
- Parameters:
-
fin_macro_regimeâ classify current macro regime- Parameters:
indicators[](optional override; default uses all available) - Returns: current regime classification, confidence level, key indicator readings, regime history (last 4 quarters)
- Parameters:
-
fin_event_impactâ analyze specific eventâs market impact- Parameters:
event_type(fomc | cpi | nfp | gdp | pmi | earnings),scenario(hawkish | dovish | hot | cool | beat | miss | inline) - Returns: historical average impact by asset class, typical duration, reversal probability, cross-market cascade
- Parameters:
Macro Regime Classification
Ray Dalio Framework
Classify the current macroeconomic environment into one of four regimes:
| Regime | Growth | Inflation | Favored Assets | Hurt Assets |
|---|---|---|---|---|
| Goldilocks | Rising | Falling | Equities, Growth Tech, Crypto | Gold, Commodities |
| Reflation | Rising | Rising | Commodities, Value, TIPS, Real Assets | Long Bonds, Growth Tech |
| Stagflation | Falling | Rising | Gold, Cash, Commodities, Short Vol | Equities, Bonds, Crypto |
| Deflation | Falling | Falling | Long Bonds, Cash, Quality | Equities, Commodities, Crypto |
Regime Input Indicators
Monitor these key indicators to determine the current regime:
| Indicator | Growth Signal | Inflation Signal |
|---|---|---|
| ISM PMI | >50 = expansion, <50 = contraction | Prices Paid sub-index |
| NFP (Nonfarm Payrolls) | >150K = healthy, <0 = recession risk | Wage growth YoY |
| GDP | >2% = solid, <0% = recession | GDP deflator |
| CPI | â | >3% = hot, <2% = cool |
| Core PCE | â | Fedâs preferred gauge, target 2% |
| 2Y-10Y Spread | Inverted = recession warning | â |
| VIX | <15 = complacency, >30 = fear | â |
| DXY (Dollar Index) | Strong = tightening conditions | Weak = inflationary impulse |
| M2 Money Supply | Growing = expansionary | Rapid growth = inflationary |
| HY Spreads | <400bps = healthy, >600bps = stress | â |
Regime Transition Signals
Watch for these early indicators of regime change:
- PMI crossing 50 (expansion/contraction threshold)
- Yield curve slope change (steepening/flattening)
- CPI trend reversal (3-month moving average)
- Fed dot plot shifts vs market expectations
- Credit spread widening/tightening
Event Impact Profiles
FOMC Decision
| Scenario | Equities | Bonds | USD | Crypto | Gold |
|---|---|---|---|---|---|
| Hawkish Surprise | -2 to -5% | -1 to -3% | +1 to +2% | -5 to -15% | -1 to -3% |
| Dovish Surprise | +2 to +5% | +1 to +3% | -1 to -2% | +5 to +15% | +1 to +3% |
| Inline | -0.5 to +0.5% | flat | flat | -1 to +1% | flat |
CPI Release
| Scenario | Equities | Bonds | USD | Crypto | Gold |
|---|---|---|---|---|---|
| Hot (>0.3% above consensus) | -1 to -3% | -1 to -2% | +0.5 to +1% | -3 to -8% | +0.5 to +1% |
| Cool (<0.2% below consensus) | +1 to +3% | +1 to +2% | -0.5 to -1% | +3 to +8% | -0.5 to +0.5% |
| Inline | -0.5 to +0.5% | flat | flat | -1 to +1% | flat |
NFP (Nonfarm Payrolls)
| Scenario | Equities | Bonds | USD | Crypto |
|---|---|---|---|---|
| Strong (>50K above consensus) | -1 to +1%* | -0.5 to -1.5% | +0.5 to +1% | -2 to -5% |
| Weak (<50K below consensus) | -1 to +1%* | +0.5 to +1.5% | -0.5 to -1% | +1 to +3% |
| Goldilocks (within 20K of consensus) | +0.5 to +1.5% | flat | flat | +1 to +3% |
*Equity reaction depends on regime: strong jobs in Goldilocks = positive; strong jobs in Reflation = negative (more hikes).
Cross-Market Cascade Analysis
Typical Transmission Chains
Map how one event propagates through markets:
Fed Hike Cascade: Fed Hikes Rate -> Treasury Yields Rise -> USD Strengthens -> Risk Assets Fall -> EM Currencies Weaken -> Commodity Prices Fall -> EM Equities Fall
Hot CPI Cascade: CPI Above Expectations -> Rate Hike Expectations Rise -> Bond Prices Fall -> Growth Stocks Sell Off -> Crypto Follows Risk-Off -> Gold Mixed (inflation hedge vs rate headwind)
Geopolitical Shock Cascade: Conflict/Sanctions -> Oil Prices Spike -> Inflation Expectations Rise -> Flight to Safety (Bonds, Gold, USD) -> Risk Assets Fall -> Supply Chain Disruption Fears
Portfolio Event Exposure
Cross-reference the userâs holdings against upcoming events:
- Identify which events affect which asset classes in the portfolio
- Quantify exposure: what percentage of portfolio is sensitive to each event
- Estimate range of outcomes using historical impact profiles
- Suggest hedging considerations for high-exposure events
Response Guidelines
- Start with the most immediately relevant events (today/this week) and their expected impact.
- For regime analysis, clearly state the current classification and confidence level. Show which indicators support and which contradict.
- Present event calendars in chronological table format with importance ratings.
- For event impact analysis, always show the historical average and range â single-point estimates are misleading.
- When mapping events to portfolios, be specific: âYour 40% BTC allocation is sensitive to Thursdayâs CPI release. Historically, hot CPI prints have caused BTC to drop 3-8%.â
- Highlight regime transition signals prominently â these have the largest portfolio implications.
- Include the cross-market cascade chain for major events so users understand the transmission mechanism.
- Note the time of economic releases in the userâs timezone when possible.
Risk Disclosures
- Macro regime classification is a framework, not a prediction. Regimes can persist for years or shift rapidly.
- Historical event impact ranges are averages. Individual events can produce outlier moves far outside typical ranges.
- Cross-market cascade analysis describes typical transmission paths. Markets may react differently depending on positioning, liquidity, and concurrent events.
- Economic data is subject to revision. Initial releases may be significantly revised in subsequent months.
- This analysis is informational and does not constitute investment advice. Macro conditions are one of many factors affecting asset prices.