mirror of
https://github.com/Mihirkansara/nexus-quant-terminal.git
synced 2026-07-27 18:47:49 +00:00
Kansaram
61e145a442
Full-stack forex options analytics terminal with Bloomberg-inspired UI. Backend (FastAPI + Python): - Garman-Kohlhagen options pricing engine with full Greeks - Goldman Sachs gs-quant AI signals (RSI, MACD, Bollinger, Hurst, OU) - Monte Carlo GBM simulation and volatility surface generation - CFTC COT institutional positioning + Forex Factory economic calendar - Live data proxy: OpenSky aircraft + USGS earthquakes (CORS-safe) - Multi-leg strategy library (straddle, iron condor, butterfly, spreads) Frontend (React 18 + Vite): - NEXUS animated orbital logo (3-ring SVG) + canvas favicon animation - Bloomberg terminal design: JetBrains Mono, color-mix() tokens - 11 dashboard tabs: Greeks, Chart, AI Signals, 3D Surfaces, Breakeven, Scenarios, Monte Carlo, Institutional, Calendar, Live Map, Live Feeds - Live World Map (react-leaflet): aircraft, earthquakes, weather radar - Live Feeds: CoinGecko crypto top-12 + Windy.com global webcams - Economic calendar with filters + institutional flow (CFTC COT) - Animated landing page + session-based routing - Fully responsive dark-only terminal design system Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
111 lines
3.5 KiB
Python
111 lines
3.5 KiB
Python
"""
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news.py — Free economic calendar from Forex Factory.
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Source: nfs.faireconomy.media (official FF data mirror, JSON format)
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ff_calendar_thisweek.json — current week
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(nextweek.json appears Fri/Sat only, gracefully skipped if 404)
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No API key. No auth.
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"""
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import httpx
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from datetime import datetime, timezone
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from fastapi import APIRouter
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router = APIRouter(prefix="/news", tags=["news"])
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FF_JSON_URLS = [
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"https://nfs.faireconomy.media/ff_calendar_thisweek.json",
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"https://nfs.faireconomy.media/ff_calendar_nextweek.json",
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]
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# In-memory cache — refresh every hour
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_cache: dict = {"data": None, "ts": 0.0}
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_CACHE_TTL = 3600 # seconds
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def _fetch_ff_json(url: str) -> list[dict]:
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try:
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resp = httpx.get(
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url, timeout=15, follow_redirects=True,
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headers={"User-Agent": "Mozilla/5.0 (compatible; QuantRiskFX/3.0)"}
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)
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if resp.status_code != 200:
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return []
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raw = resp.json()
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events = []
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for ev in (raw if isinstance(raw, list) else []):
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# `date` is already ISO-8601 with TZ offset, e.g. "2026-06-07T08:30:00-04:00"
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date_str = ev.get("date", "")
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dt_utc = None
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if date_str:
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try:
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dt_et = datetime.fromisoformat(date_str)
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dt_utc = dt_et.astimezone(timezone.utc).strftime("%Y-%m-%dT%H:%MZ")
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except ValueError:
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pass
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events.append({
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"title": ev.get("title", "").strip(),
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"country": ev.get("country", "").strip(),
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"date_raw": date_str,
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"datetime_utc": dt_utc,
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"impact": ev.get("impact", "").strip(),
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"forecast": ev.get("forecast", "").strip(),
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"previous": ev.get("previous", "").strip(),
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"actual": ev.get("actual", "").strip(),
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"url": "",
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})
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return events
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except Exception:
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return []
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def _load_calendar() -> dict:
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import time
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now = time.time()
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if _cache["data"] is not None and (now - _cache["ts"]) < _CACHE_TTL:
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return _cache["data"]
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seen: set[tuple] = set()
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all_events: list = []
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for url in FF_JSON_URLS:
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for ev in _fetch_ff_json(url):
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key = (ev["title"], ev["country"], ev["datetime_utc"])
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if key not in seen:
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seen.add(key)
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all_events.append(ev)
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all_events.sort(key=lambda e: e["datetime_utc"] or "")
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now_utc = datetime.now(timezone.utc).strftime("%Y-%m-%dT%H:%MZ")
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next_high = next(
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(e for e in all_events
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if e["impact"] == "High"
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and (e["datetime_utc"] or "") >= now_utc
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and not e["actual"]),
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None,
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)
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result = {
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"events": all_events,
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"count": len(all_events),
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"now_utc": now_utc,
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"next_high": next_high,
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"source": "Forex Factory Economic Calendar — nfs.faireconomy.media (free, no API key)",
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"note": "Times in UTC (source is US Eastern Time).",
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"cached": False,
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}
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_cache["data"] = result
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_cache["ts"] = now
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return result
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@router.get("/calendar")
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def get_calendar():
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"""
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Economic calendar from Forex Factory (current + next week).
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Times returned as UTC ISO-8601 strings. Cached for 1 hour.
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"""
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result = _load_calendar()
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return {**result, "cached": _cache["ts"] > 0}
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