diff --git a/.claude/commands/research-strategy.md b/.claude/commands/research-strategy.md
index 189c3b98..691f2e6e 100644
--- a/.claude/commands/research-strategy.md
+++ b/.claude/commands/research-strategy.md
@@ -154,12 +154,26 @@ If the finding meets the auto-implement threshold from Step 4:
 3. Create `tradingagents/dataflows/discovery/scanners/<name>.py` following
    the same structure:
    - Class decorated with `@SCANNER_REGISTRY.register()`
-   - `name` and `pipeline` class attributes
+   - `name`, `pipeline`, and `strategy` class attributes
    - `scan(self, state)` method returning `List[Dict]`
    - Each dict must have keys: `ticker`, `source`, `context`, `priority`
    - Priority values: `"CRITICAL"`, `"HIGH"`, `"MEDIUM"`, `"LOW"`
-4. Check `tradingagents/dataflows/discovery/scanners/__init__.py` — if it
-   imports scanners explicitly, add an import for the new one.
+   - All tunable parameters must use `self.scanner_config.get("param", default)`
+     so they can be overridden from config without touching scanner code
+4. Add an import in `tradingagents/dataflows/discovery/scanners/__init__.py`:
+   `from . import <name>  # noqa: F401`
+5. **Add a config entry to `tradingagents/default_config.py`** under
+   `discovery.scanners.<name>`. This is mandatory — without it the scanner
+   cannot be enabled/disabled or tuned from config, and is invisible to the
+   settings UI. Include every parameter that `self.scanner_config.get()` reads:
+   ```python
+   "<name>": {
+       "enabled": True,
+       "pipeline": "<pipeline>",
+       "limit": 10,
+       "<param>": <default>,  # one entry per scanner_config.get() call
+   },
+   ```
 
 If threshold is NOT met: write the research file only. Add this note at the
 top of the research file:
diff --git a/tradingagents/default_config.py b/tradingagents/default_config.py
index 4500aa44..3d2db515 100644
--- a/tradingagents/default_config.py
+++ b/tradingagents/default_config.py
@@ -209,6 +209,13 @@ DEFAULT_CONFIG = {
                 "min_short_interest_pct": 15.0,  # Minimum short interest %
                 "min_days_to_cover": 5.0,  # Minimum days to cover ratio
             },
+            "earnings_beat": {
+                "enabled": True,
+                "pipeline": "events",
+                "limit": 10,
+                "lookback_days": 14,  # Days to look back for recent EPS beats
+                "min_surprise_pct": 5.0,  # Minimum EPS surprise % to surface
+            },
             "ml_signal": {
                 "enabled": True,
                 "pipeline": "momentum",
@@ -231,6 +238,18 @@ DEFAULT_CONFIG = {
                 "max_pct_from_high": 25,  # Must be within 25% of 52w high
                 "max_tickers": 50,  # Cap universe to keep download under scanner timeout (~75s for 50 tickers x 1y)
             },
+            "high_52w_breakout": {
+                "enabled": True,
+                "pipeline": "momentum",
+                "limit": 10,
+                "max_tickers": 150,          # Cap universe for scan speed
+                "min_volume_multiple": 1.5,  # Min volume vs 20d avg to confirm breakout
+                "vol_avg_days": 20,          # Days for volume average baseline
+                "freshness_days": 5,         # Max days since 52w high was set
+                "freshness_threshold": 0.97, # Price must be within X% of 52w high
+                "min_price": 5.0,            # Filter penny stocks
+                "min_avg_volume": 100_000,   # Min avg daily volume for liquidity
+            },
         },
     },
     # Memory settings