feat: Phase 3 — indicateurs techniques calibrés par horizon option

- technical_indicators.py (nouveau) : compute_indicators() calcule RSI, MA fast/slow,
  Bollinger Bands, ATR — périodes calibrées automatiquement selon horizon_days
- config.py : endpoints GET/PUT /config/tech-indicators (activé, liste, auto-calibration)
- useApi.ts : useTechIndicatorsConfig + useSaveTechIndicatorsConfig hooks
- Config.tsx : carte "Indicateurs techniques" dans Options—Paramètres avec toggles
- auto_cycle.py : compute top-5 tickers à chaque cycle si tech_indicators_enabled=true
- ai_analyzer.py : tech_indicators_block injecté dans suggestion + scoring prompts

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

backend/services/auto_cycle.py

@@ -376,12 +376,43 @@ def run_cycle_once(trigger: str = "auto") -> Dict[str, Any]:
             # Apply decay to news before suggestion (adds decayed_score + age_hours)
             from services.ai_analyzer import apply_news_decay as _apply_decay
             news = _apply_decay(news)
+
+            # ── Tech indicators for top tickers ──────────────────────────────
+            _tech_block = ""
+            try:
+                _ti_enabled = (get_config("tech_indicators_enabled") or "true").lower() == "true"
+                if _ti_enabled:
+                    from services.technical_indicators import compute_indicators, format_indicators_for_prompt
+                    _ti_list = [s.strip() for s in (get_config("tech_indicators_list") or "rsi,ma,bollinger,atr").split(",") if s.strip()]
+                    _horizon_days = 45  # default mid-range if no trade horizon context yet
+                    _ti_lines = []
+                    # Pick up to 5 tickers from quotes (one per asset class)
+                    _seen_tickers: set = set()
+                    for _cls, _qs in quotes.items():
+                        for _q in _qs[:1]:
+                            _sym = _q.get("symbol", "")
+                            if _sym and _sym not in _seen_tickers:
+                                _seen_tickers.add(_sym)
+                                _ind = compute_indicators(_sym, _horizon_days, enabled_indicators=_ti_list)
+                                _blk = format_indicators_for_prompt(_ind)
+                                if _blk:
+                                    _ti_lines.append(_blk)
+                            if len(_seen_tickers) >= 5:
+                                break
+                        if len(_seen_tickers) >= 5:
+                            break
+                    if _ti_lines:
+                        _tech_block = "\n".join(_ti_lines)
+            except Exception as _te:
+                logger.warning(f"[Cycle] Tech indicators failed (non-blocking): {_te}")
+
             suggestions = suggest_patterns_from_market_context(
                 news, quotes, calendar, macro_regime=macro_regime, geo_score=geo_score_obj,
                 portfolio_lessons=portfolio_lessons,
                 reliability_map=_reliability_map or None,
                 iv_context=iv_context,
                 cycle_meta=cycle_meta,
+                tech_indicators_block=_tech_block,
             )
         except Exception as e:
             logger.warning(f"[Cycle] Suggestion step failed: {e}")
@@ -505,6 +536,7 @@ def run_cycle_once(trigger: str = "auto") -> Dict[str, Any]:
                 iv_context=iv_context,
                 risk_context=risk_cluster_context,
                 cycle_meta=cycle_meta,
+                tech_indicators_block=_tech_block,
             )
             scored_with_id = [s for s in scored if s.get("pattern_id")]
             scored_without_id = [s for s in scored if not s.get("pattern_id")]