القائمة
US/global macro time series from St. Louis Fed FRED — CPI, GDP, Fed funds, yields, M2, DXY, etc.
يُحدَّد Prompt الذي يراجع المصدر أولًا بشكل افتراضي. يمكنك التبديل إلى أمر مباشر أو تنزيل نسخة محلية.
اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
يتجاوز الأمر المباشر Prompt المخصّص للمراجعة. افحص المصدر قبل تشغيله.
npx skills add https://github.com/kansoku-trade/kansoku --skill fredيبقى الأمر في سطر واحد. مرّر أفقيًا لمراجعته كاملًا قبل النسخ.
تفضّل نسخة محلية؟ نزّل الملفات المتاحة حاليًا لدى SkillsMP.
Render financial charts via the local chart web app (workspace at the repo root — Hono server + React front end, port 1792). Four chart types: intraday capital-flow line (`flow`) and cross-symbol signed-bar comparison (`cohort`) — both Recharts — plus SEPA strategy dashboard (`sepa`) and short-term multi-timeframe prediction dashboard (`intraday`) — both TradingView Lightweight Charts. Multi-timeframe K-line review lives inside `intraday` (the standalone kline chart type was removed). The server fetches Longbridge data itself (kline / capital flow) and computes all indicators (MA, MACD, RS, trend template, volume profile, divergence/beichi detection) in TypeScript; the caller only POSTs `{type, symbol, ...}` to `/api/charts` and gets back `{id, url, technicals?}`. Charts persist as data JSON under `journal/charts/data/`. `url` now points at where the chart actually lives: sepa/intraday land on the symbol page (`http://localhost:1792/symbol/<SYM>?analysis=<id>`), flow/cohort land on the home page for that date
Short-term multi-timeframe (5m/15m/1h) technical read for a single symbol — pulls K-line across three timeframes, reads MACD + swing structure, writes a direction call (long/short/neutral) with an explicit anchor price, a 2–4 scenario forward read, a range-bound playbook (long tactic + short tactic; a neutral call carries a numeric low/high zone instead of an entry plan and is scored on whether the zone held), an entry/stop/target plan with dual-basis R/R (T1 + T2) for directional calls only, position sizing with a nominal cap from the live broker account, an event-risk gate (earnings / FOMC / CPI), and market/sector alignment + relvol volume checks — MACD divergence/背驰, candle patterns like Pin Bar, and 123 structures are auto-detected and drawn server-side — then renders it via the `chart` skill (type `intraday`, POST preview → PATCH prediction) and logs a journal entry. US-only, single-symbol, short horizon (intraday to a few sessions) — a companion to `market-session-tracker`, not a replacement. Triggers:
Cross-context shared trading discipline — output language, independent verification, scenarios not points, noise filtering, intent-attribution guardrails, and execution discipline (trend alignment, R:R floor, exit protection, verifiable reasons). Injected into both the app-side judgment agents (analyst / deepDive / chat) and the bench episode runner. Context-specific chapters live under references/ and are loaded on demand by the caller (app or bench).
استنادا إلى تصنيف SOC المهني
عرض SKILL.md
| name | fred |
| description | US/global macro time series from St. Louis Fed FRED — CPI, GDP, Fed funds, yields, M2, DXY, etc. |
Response language: match user input (zh-CN / zh-TW / en).
Trigger phrases:
aliases.json (curated), then search.py if no alias matches.series.py <SERIES_ID|alias> for observations + metadata.Environment is auto-loaded on script import from .env at project root (or ~/.config/market-intel/env as fallback) — no manual source needed.
# 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
{
"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"
}
}
See aliases.json for the curated CN/EN → series ID map. Common ones:
| Alias | Series ID |
|---|---|
| CPI | CPIAUCSL |
| core CPI / 核心 CPI | CPILFESL |
| PCE | PCEPI |
| GDP | GDPC1 |
| unemployment / 失业率 | UNRATE |
| nonfarm / 非农 | PAYEMS |
| Fed funds / 联储利率 | DFF |
| 10Y yield / 美债 10 年 | DGS10 |
| yield curve | T10Y2Y |
| DXY / 美元指数 | DTWEXBGS |
| M2 | M2SL |
| VIX | VIXCLS |
| 10Y breakeven / 通胀预期 | T10YIE |
If the user's phrase isn't in the map, fall back to search.py "<query>" and pick the highest-popularity non-discontinued result.
| Exit code | Meaning | LLM action |
|---|---|---|
| 0 | Success | Parse data, narrate. |
| 2 | Missing FRED_API_KEY | Tell user to register at https://fred.stlouisfed.org/docs/api/api_key.html and add to .env at project root. |
| 3 | HTTP 4xx or non-JSON | Surface error from hint. |
| 4 | Network | Suggest retry. |
.; we normalise to null).search.py — use --include-discontinued to override.--fresh for the latest.longbridge-quote for live equity quotes.gdelt for narrative / sentiment context.sec-edgar for individual-company filings.