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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).
Based on SOC occupation classification
Showing SKILL.md
| name | gdelt |
| description | Global multilingual news event stream with tone scoring via GDELT 2.0 Doc API. |
Response language: match user input.
⚠️ GDELT is a rolling recent-window API, not a historical event archive. Time windows are anchored to absolute timestamps (UTC) for reproducibility — the same query asked tomorrow will return different results.
⚠️ 5-second throttle between requests (enforced). Plan batches accordingly.
Trigger phrases:
Useful for "what is the world saying about X right now" — i.e. retrieving articles from non-English / non-financial sources that don't surface in Longbridge's curated newsfeed.
domain:bloomberg.com, sourcelang:eng).artlist — list of articles (default).timelinetone — per-15-min tone time series (-10 = very negative,
+10 = very positive).timelinevol / timelinevolinfo — article volume over time.tonechart — tone histogram.--start/--end (absolute), fall back to
--timespan. The script converts relative timespans to absolute timestamps
before the call and echoes them in meta.window so the journal can be
re-run.# Articles about Nvidia in the last 24h
python3 .claude/skills/gdelt/scripts/doc.py "Nvidia"
# 7-day window, English + Chinese articles about TSMC
python3 .claude/skills/gdelt/scripts/doc.py "TSMC OR \"Taiwan Semiconductor\"" --timespan 7d --lang eng,zho
# Tone timeline for Federal Reserve over 30 days
python3 .claude/skills/gdelt/scripts/doc.py "Federal Reserve" --mode timelinetone --timespan 30d
# Absolute window
python3 .claude/skills/gdelt/scripts/doc.py "AI chips" --start 20260501000000 --end 20260528000000
{
"data": [
{
"url": "https://...",
"title": "...",
"seendate": "20260527T161500Z",
"domain": "...",
"language": "English",
"sourcecountry": "United States",
"socialimage": "..."
}
],
"meta": {
"mode": "artlist",
"query": "Nvidia",
"window": { "start": "20260527071804", "end": "20260528071804" },
{
"ok": true,
"data": [
{"date": "20260520T000000Z", "value": 1.42},
{"date": "20260520T001500Z", "value": 1.05},
...
],
"meta": {"mode": "timelinetone", ...}
}
| Exit code | Meaning | LLM action |
|---|---|---|
| 0 | Success | Parse data. |
| 1 | Invalid args (e.g. bad timespan / lang) | Read hint. |
| 3 | HTTP 4xx / non-JSON response | If body contains "Please limit requests", the throttle was tripped — wait and retry. |
| 4 | Network | Suggest retry. |
--max-records cap is 250.longbridge-news for curated equity-specific newsfeed (Chinese-language UX).sec-edgar for primary-source filings as the contrast to media narrative.fred for macro data referenced in the narrative.