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.
ソース情報
- リポジトリ
- mahmoud20138/Tradecraft
- ソースの最終更新活動
- 2026年4月23日 08:40
- 検出された SKILL.md の言語
- 英語
- スター
- 15
- フォーク
- 4
インストール方法
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SKILL.md
ソースの指示 · 読み取り専用プレビュー- 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",
}
```
GitHubで見る