Fred

fred

Response language: match user input (zh-CN / zh-TW / en).

When to use

Trigger phrases:

• CPI / core CPI / PCE / PPI / inflation / 通胀 / 核心通胀
• GDP / 国内生产总值
• unemployment / 失业率 / U-3 / U-6 / nonfarm / 非农
• Fed funds / 联储利率 / SOFR
• 2Y / 10Y yield / yield curve / 美债利率 / 收益率曲线
• M1 / M2 / 货币供应
• DXY / 美元指数 / USD index
• VIX / 10Y breakeven / 通胀预期
• WTI / Brent / 油价 / gold
• consumer sentiment / 消费者信心 / housing starts / retail sales

Workflow

1. Resolve user phrasing to a FRED series ID — first via aliases.json (curated), then search.py if no alias matches.
2. Run series.py <SERIES_ID|alias> for observations + metadata.
3. Synthesise NL reply with units, frequency, and last update date; cite "Source: St. Louis Fed (FRED)".

Environment is auto-loaded on script import from .env at project root (or ~/.config/market-intel/env as fallback) — no manual source needed.

CLI examples

# Latest 60 monthly CPI observations
python3 .claude/skills/fred/scripts/series.py CPI

# 2Y Treasury yield, last 30 daily observations
python3 .claude/skills/fred/scripts/series.py "2Y yield" --limit 30

# 10-year breakeven inflation, custom window, ascending
python3 .claude/skills/fred/scripts/series.py T10YIE --start 2024-01-01 --order asc

# Discover series IDs
python3 .claude/skills/fred/scripts/search.py "consumer price index" --limit 10

# Bypass cache
python3 .claude/skills/fred/scripts/series.py CPI --fresh

Output shape

{
  "ok": true,
  "data": [{"date": "2026-04-01", "value": 314.2}, ...],
  "meta": {
    "series_id": "CPIAUCSL",
    "title": "Consumer Price Index for All Urban Consumers: All Items",
    "units": "Index 1982-1984=100",
    "frequency": "Monthly",
    "seasonal_adjustment": "SA",
    "last_updated": "2026-05-13 07:36:01-05",
    "count_returned": 60,
    "alias_resolved": "CPI"
  }
}

Available aliases

See aliases.json for the curated CN/EN → series ID map. Common ones:

If the user's phrase isn't in the map, fall back to search.py "<query>" and pick the highest-popularity non-discontinued result.

Error handling

Known limitations

• Daily series may have weekend/holiday gaps (FRED returns NaN as .; we normalise to null).
• "Discontinued" series filtered by default in search.py — use --include-discontinued to override.
• Series metadata cache TTL 24 h; observation cache TTL 1 h. Use --fresh for the latest.

Related skills

• longbridge-quote for live equity quotes.
• gdelt for narrative / sentiment context.
• sec-edgar for individual-company filings.