agent_panel: ATR-normalized candle + indicator-value enrichment, hardened prompts, verdict logging

app_config.py

@@ -97,6 +97,7 @@ _KNOWN_DEEPSEEK = {
 _KNOWN_AGENT_PANEL = {
     "enabled", "telegram", "dashboard", "min_quality",
     "max_panels_per_day", "reuse_ttl_seconds",
+    "candles_enabled", "candle_bars_primary", "candle_bars_confirm",
 }
 _KNOWN_SIGNAL_LOG = {"enabled", "path"}
 _KNOWN_TELEGRAM = {"token", "chat_id", "channel_id", "alert_min_quality"}
@@ -306,6 +307,18 @@ def load_app_config(path: str = CONFIG_PATH) -> AppConfig:
             raise AppConfigError(
                 "config.json: agent_panel.reuse_ttl_seconds must be a "
                 "non-negative number")
+    if "candles_enabled" in panel \
+            and not isinstance(panel["candles_enabled"], bool):
+        raise AppConfigError(
+            "config.json: agent_panel.candles_enabled must be true or false")
+    for key in ("candle_bars_primary", "candle_bars_confirm"):
+        if key in panel:
+            n = panel[key]
+            if isinstance(n, bool) or not isinstance(n, int) \
+                    or not 1 <= n <= 100:
+                raise AppConfigError(
+                    f"config.json: agent_panel.{key} must be an integer "
+                    "between 1 and 100")
     app.agent_panel_settings = dict(panel)
 
     slog = raw.get("signal_log", {})