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economic-indicator-tracker

Track leading, lagging, and coincident economic indicators systematically. Use for "economic indicators", "leading indicator", "lagging indicator", "PMI tracker", "GDP tracker", "jobs data", "inflation tracker", "economic cycle", "recession indicator", "expansion indicator", "economic health", or any systematic macro indicator tracking. Works with macro-economic-dashboard.

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Informações da origem

Repositório
mahmoud20138/Tradecraft
Última atividade na origem
23 de abril de 2026 às 08:40
Idioma detectado do SKILL.md
inglês
Estrelas
15
Forks
4

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SKILL.md
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name
economic-indicator-tracker
description
Track leading, lagging, and coincident economic indicators systematically. Use for "economic indicators", "leading indicator", "lagging indicator", "PMI tracker", "GDP tracker", "jobs data", "inflation tracker", "economic cycle", "recession indicator", "expansion indicator", "economic health", or any systematic macro indicator tracking. Works with macro-economic-dashboard.
kind
tool
category
trading/data
status
active
tags
["economic","indicator","market-context","tracker","trading"]
related_skills
["economic-calendar","market-data-ingestion","alternative-data-integrator","macro-economic-dashboard","market-intelligence"]
# Economic Indicator Tracker ```python INDICATORS = { "leading": [ {"name": "PMI Manufacturing", "frequency": "monthly", "impact": "HIGH", "pairs": ["USD", "EUR", "GBP"]}, {"name": "Building Permits", "frequency": "monthly", "impact": "MEDIUM", "pairs": ["USD"]}, {"name": "Consumer Confidence", "frequency": "monthly", "impact": "MEDIUM", "pairs": ["USD", "EUR"]}, {"name": "Yield Curve 2-10", "frequency": "daily", "impact": "HIGH", "pairs": ["USD"]}, {"name": "New Orders Index", "frequency": "monthly", "impact": "MEDIUM", "pairs": ["USD"]}, {"name": "Stock Market (SPX)", "frequency": "daily", "impact": "HIGH", "pairs": ["ALL"]}, {"name": "Initial Jobless Claims", "frequency": "weekly", "impact": "MEDIUM", "pairs": ["USD"]}], "coincident": [ {"name": "Non-Farm Payrolls", "frequency": "monthly", "impact": "HIGH", "pairs": ["USD"]}, {"name": "Industrial Production", "frequency": "monthly", "impact": "MEDIUM", "pairs": ["USD", "EUR"]}, {"name": "Retail Sales", "frequency": "monthly", "impact": "HIGH", "pairs": ["USD", "GBP"]}, {"name": "GDP", "frequency": "quarterly", "impact": "HIGH", "pairs": ["ALL"]}], "lagging": [ {"name": "CPI / Inflation", "frequency": "monthly", "impact": "HIGH", "pairs": ["ALL"]}, {"name": "Unemployment Rate", "frequency": "monthly", "impact": "HIGH", "pairs": ["USD"]}, {"name": "Core PCE", "frequency": "monthly", "impact": "HIGH", "pairs": ["USD"]}, {"name": "Average Hourly Earnings", "frequency": "monthly", "impact": "MEDIUM", "pairs": ["USD"]}], } class EconomicIndicatorTracker: @staticmethod def cycle_position(leading_trend: str, coincident_trend: str, lagging_trend: str) -> dict: if leading_trend == "improving" and coincident_trend == "improving": phase = "EXPANSION — risk-on currencies favored (AUD, NZD, CAD)" elif leading_trend == "deteriorating" and coincident_trend == "improving": phase = "LATE CYCLE — be cautious, peak may be near" elif leading_trend == "deteriorating" and coincident_trend == "deteriorating": phase = "CONTRACTION — safe havens favored (JPY, CHF, USD, Gold)" elif leading_trend == "improving" and coincident_trend == "deteriorating": phase = "EARLY RECOVERY — selective risk-on, high-beta currencies" else: phase = "TRANSITION — mixed signals" return {"phase": phase, "leading": leading_trend, "coincident": coincident_trend, "lagging": lagging_trend} @staticmethod def surprise_index(actual: float, forecast: float, previous: float) -> dict: surprise = actual - forecast beat = actual > forecast return { "surprise": round(surprise, 3), "beat_expectations": beat, "vs_previous": "improving" if actual > previous else "deteriorating", "market_impact": "Positive surprise — currency should strengthen" if beat else "Negative surprise — currency weakens", } ```
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