Initial commit: Oil Trading Bot (MT5, WTI)

Headless FastAPI-Backend (server.py + core/engine.py) mit Mobile-PWA (web/), Strategie-/Backtest-Suite und Doku. Secrets, DB, Logs und Laufzeit-State sind via .gitignore ausgeschlossen; Config-Vorlage: oil_widget_config.ini.example. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-07-24 08:29:23 +02:00
commit 75d28827e8
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+"""
+core/analysis/news.py — Keyword-basiertes News-Sentiment
+"""
+
+from __future__ import annotations
+
+
+# Bullische Phrasen für WTI (Angebot ↓ / Nachfrage ↑ / Risiko ↑)
+NEWS_BULLISH_KW = {
+    "supply cut", "production cut", "opec cut", "opec+ cut", "output cut",
+    "sanction", "embargo", "ban on", "blockade", "shutdown", "outage",
+    "disruption", "halt", "force majeure", "pipeline attack",
+    "attack", "strike on", "missile", "drone strike", "tension escalat",
+    "iran tension", "houthi", "red sea", "strait of hormuz", "war",
+    "conflict escalat", "retaliat", "threat",
+    "demand growth", "demand surge", "demand rise", "demand strong",
+    "stockpile draw", "inventory draw", "stocks drop", "stocks fall",
+    "stockpiles fall", "crude draw", "cushing draw", "eia draw",
+    "pipeline shutdown", "refinery fire", "gulf of mexico storm",
+    "hurricane", "winter storm", "cold snap",
+    "oil surge", "oil rally", "oil jump", "oil soar", "oil spike",
+    "crude rise", "crude rally", "wti rise", "wti surge", "wti rally",
+}
+
+# Bärische Phrasen für WTI (Angebot ↑ / Nachfrage ↓ / Entspannung)
+NEWS_BEARISH_KW = {
+    "supply glut", "oversupply", "production increase", "output rise",
+    "production boost", "opec boost", "opec+ unwind", "spr release",
+    "strategic reserve release", "saudi increase",
+    "us production record", "shale boom", "permian growth",
+    "demand drop", "demand fall", "demand weak", "demand slump",
+    "recession", "slowdown", "weak economy", "china slowdown",
+    "stockpile build", "inventory build", "stocks rise", "stocks build",
+    "crude build", "stockpiles rise", "cushing build", "eia build",
+    "ceasefire", "truce", "deal reached", "agreement", "diplomatic",
+    "talks resume", "easing tension", "sanction lift", "sanction relief",
+    "oil drop", "oil plunge", "oil slide", "oil fall", "oil decline",
+    "crude drop", "crude plunge", "wti fall", "wti slide", "oil crash",
+}
+
+
+def calc_news_sentiment(headlines: list, half_life_hours: float = 8.0) -> dict:
+    """
+    Bewertet Headlines per Keyword-Matching mit altersgewichtetem Decay.
+    score: -1.0 (klar bärisch) … +1.0 (klar bullisch)
+    """
+    import time as _time
+    if not headlines:
+        return {"score": 0.0, "n_bull": 0.0, "n_bear": 0.0, "samples": []}
+
+    now = _time.time()
+    bull_w = bear_w = 0.0
+    samples = []
+    for h in headlines:
+        text = (h.get("title_original") or h.get("title") or "").lower()
+        if not text:
+            continue
+        age_h  = max(0.0, (now - h.get("ts", now)) / 3600.0)
+        weight = 0.5 ** (age_h / max(1.0, half_life_hours))
+        b = sum(1 for kw in NEWS_BULLISH_KW if kw in text)
+        s = sum(1 for kw in NEWS_BEARISH_KW if kw in text)
+        if b > s:
+            bull_w += weight * (1 + 0.3 * (b - 1))
+            samples.append(("bull", h.get("title", "")[:70]))
+        elif s > b:
+            bear_w += weight * (1 + 0.3 * (s - 1))
+            samples.append(("bear", h.get("title", "")[:70]))
+
+    total = bull_w + bear_w
+    score = 0.0 if total < 0.1 else (bull_w - bear_w) / total
+    return {
+        "score":   max(-1.0, min(1.0, score)),
+        "n_bull":  round(bull_w, 1),
+        "n_bear":  round(bear_w, 1),
+        "samples": samples[:5],
+    }