Clean up unused files, organize structure, update docs

- Delete obsolete files: data_fetcher_old.py, market_old.py, base_strategy.py (root),
  strategy_sma_cross.py, and old architecture remnants (address_monitor.py,
  position_monitor.py, trade_log.py, wallet_data.py, whale_tracker.py)
- Delete zero-byte Docker artifacts and runtime files (clp_hedger.log,
  clp_hedger/hedge_status.json)
- Move one-off utility scripts to scripts/ directory
- Move example/template files to .temp/ directory
- Update .gitignore: add entries for clp_hedger.log, clp_hedger/hedge_status.json,
  Docker layer hash files, Using, Running, and backups/
- Update .dockerignore: add clp_hedger.log, clp_hedger/hedge_status.json, backups/
- Create example config files: _data/strategies.json.example,
  _data/backtesting_conf.json.example, _data/coin_precision.json.example
- Update GEMINI.md: remove outdated session summaries and duplicate review section
- Update review.md: add cleanup status section, update remaining recommendations
- Update MIGRATION_PLAN.md: mark completed phases, update file references
- Update DOCKER_MIGRATION_GUIDE.md: update import_csv.py path reference

scripts/del_market_cap_tables.py

@@ -0,0 +1,56 @@
+import sqlite3
+import logging
+import os
+
+from logging_utils import setup_logging
+
+def cleanup_market_cap_tables():
+    """
+    Scans the database and drops all tables related to market cap data
+    to allow for a clean refresh.
+    """
+    setup_logging('normal', 'DBCleanup')
+    db_path = os.path.join("_data", "market_data.db")
+
+    if not os.path.exists(db_path):
+        logging.error(f"Database file not found at '{db_path}'. Nothing to clean.")
+        return
+
+    logging.info(f"Connecting to database at '{db_path}'...")
+    try:
+        with sqlite3.connect(db_path) as conn:
+            cursor = conn.cursor()
+            
+            # Find all tables that were created by the market cap fetcher
+            cursor.execute("""
+                SELECT name FROM sqlite_master 
+                WHERE type='table' 
+                AND (name LIKE '%_market_cap' OR name LIKE 'TOTAL_%')
+            """)
+            
+            tables_to_drop = cursor.fetchall()
+            
+            if not tables_to_drop:
+                logging.info("No market cap tables found to clean up. Database is already clean.")
+                return
+
+            logging.warning(f"Found {len(tables_to_drop)} market cap tables to remove...")
+            
+            for table in tables_to_drop:
+                table_name = table[0]
+                try:
+                    logging.info(f"Dropping table: {table_name}...")
+                    conn.execute(f'DROP TABLE IF EXISTS "{table_name}"')
+                except Exception as e:
+                    logging.error(f"Failed to drop table {table_name}: {e}")
+            
+            conn.commit()
+            logging.info("--- Database cleanup complete ---")
+
+    except sqlite3.Error as e:
+        logging.error(f"A database error occurred: {e}")
+    except Exception as e:
+        logging.error(f"An unexpected error occurred: {e}")
+
+if __name__ == "__main__":
+    cleanup_market_cap_tables()