revision, pending fixes

reports/PENDING_GUIDELINE_FIXES.md

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+# Pending Guideline Fixes (September 2025)
+
+## Overview
+The following gaps violate our "no stubs, no synthetic data" policy and must
+be resolved before the dashboard can operate in production. Inline TODOs with
+matching wording have been added in the codebase.
+
+## Items
+1. **Prediction aggregation** – `TradingOrchestrator._get_all_predictions` still
+   raises until the real ModelManager integration is written. The decision loop
+   intentionally skips synthetic fallback signals.
+2. **Device handling for CNN checkpoints** – the orchestrator references
+   `self.device` while loading weights; define and manage the device before the
+   load occurs.
+3. **Trading balance access** – `TradingExecutor.get_balance` is currently
+   `NotImplementedError`. Provide a real balance snapshot (simulation and live).
+4. **Fallback pricing** – `_get_current_price` now raises when no market price
+   is available. Implement a real degraded-mode data path instead of hardcoded
+   ETH/BTC prices.
+5. **Pivot context prerequisites** – ensure pivot bounds exist (or are freshly
+   calculated) before requesting normalized pivot features.
+6. **Decision-fusion training features** – the dashboard still relies on random
+   vectors for decision fusion. Replace them with real feature tensors derived
+   from market data.
+
+## Next Steps
+- Prioritise restoring real prediction outputs so the orchestrator can resume
+  trading decisions without synthetic stand-ins.
+- Sequence the remaining work so that downstream components (dashboard panels,
+  executor feedback) receive genuine data once more.
+