Add indicator ablation framework + apply ablation-driven cleanup

Framework:
- TechnicalConfig.disabled_indicators skips named indicators in engine.analyze
- Optimizer supports disable_indicator override for parallel ablation sweeps
- main.py --ablate runs leave-one-out across all 10 directional indicators

Cleanup applied (validated across 2024 trend / 2023 chop / 2026 recent):
- Drop pivot by default (cumulative +9.5% to disable)
- Drop candlestick by default (+3.4% cumulative)
- Regime-gate ichimoku: 1.3x in trending, 0.2x in ranging (was a chop villain)
- Trim RSI weight 1.0 -> 0.3 (cumulative noise across regimes)

Result: +10.60% on 2024 trend (+33.24% -> +43.84%, Sharpe 2.17 -> 2.77),
+15.71% on 2023 chop (-18.27% -> -2.56%). Recent regime still adverse.

config.py

@@ -85,6 +85,24 @@ class TechnicalConfig:
     pivot_lookback: int = 1
     divergence_lookback: int = 14
 
+    # Ablation control — names listed here are skipped during analyze().
+    # Use lowercase keys: ema_trend, rsi, macd, bollinger, stochastic,
+    # adx, ichimoku, divergence, candlestick, pivot, atr, volume.
+    #
+    # Defaults disable indicators that empirically hurt P&L on USD/JPY across
+    # 2024-trend / 2023-chop / 2026-recent ablation sweeps (see project memory):
+    #   - pivot: net +9.5% to disable across 3 windows
+    #   - candlestick: net +3.4% to disable
+    disabled_indicators: List[str] = field(
+        default_factory=lambda: ["pivot", "candlestick"]
+    )
+
+
+ALL_INDICATORS: List[str] = [
+    "ema_trend", "rsi", "macd", "bollinger", "stochastic",
+    "adx", "ichimoku", "divergence", "candlestick", "pivot",
+]
+
 
 @dataclass
 class SignalConfig: