Market Watch: multiplayer GARP paper trading simulator

- Game engine with multiplayer support (create games, join, leaderboard)
- GARP stock screener (S&P 500 + 400 MidCap, 900+ tickers)
- Automated trading logic for AI player (Case)
- Web portal at marketwatch.local:8889 with dark theme
- Systemd timer for Mon-Fri market hours
- Telegram alerts on trades and daily summary
- Stock analysis deep dive data (BAC, CFG, FITB, INCY)
- Expanded scan results (22 GARP candidates)
- Craigslist account setup + credentials

data/garp_scan2.py

@@ -0,0 +1,85 @@
+#!/usr/bin/env python3
+"""GARP scan - batch download approach for speed."""
+import yfinance as yf
+import json, sys
+
+sys.stdout.reconfigure(line_buffering=True)
+
+EXCLUDE = {"BAC", "CFG", "FITB", "INCY"}
+
+with open("broad_tickers.txt") as f:
+    tickers = [l.strip().replace(".", "-") for l in f if l.strip()]
+
+print(f"Screening {len(tickers)} tickers in batches...")
+
+passed = []
+batch_size = 20
+
+for batch_start in range(0, len(tickers), batch_size):
+    batch = tickers[batch_start:batch_start + batch_size]
+    batch = [t for t in batch if t not in EXCLUDE]
+    if not batch:
+        continue
+    
+    print(f"Batch {batch_start}-{batch_start+len(batch)} / {len(tickers)}...")
+    
+    try:
+        data = yf.Tickers(" ".join(batch))
+        for tick in batch:
+            try:
+                info = data.tickers[tick].info or {}
+                
+                mc = info.get("marketCap", 0) or 0
+                if mc < 5e9: continue
+                
+                tpe = info.get("trailingPE")
+                if not tpe or tpe >= 25 or tpe <= 0: continue
+                    
+                fpe = info.get("forwardPE")
+                if not fpe or fpe >= 15 or fpe <= 0: continue
+                
+                rg = info.get("revenueGrowth")
+                if rg is None or rg < 0.10: continue
+                
+                eg = info.get("earningsGrowth")
+                if eg is None or eg < 0.15: continue
+                
+                roe = info.get("returnOnEquity")
+                if roe is None or roe < 0.05: continue
+                
+                peg = info.get("pegRatio")
+                if peg is not None and peg > 1.2: continue
+                
+                dte = info.get("debtToEquity")
+                if dte is not None and dte > 35: continue
+                
+                entry = {
+                    "ticker": tick,
+                    "name": info.get("longName", tick),
+                    "market_cap_B": round(mc / 1e9, 1),
+                    "trailing_pe": round(tpe, 2),
+                    "forward_pe": round(fpe, 2),
+                    "peg": round(peg, 2) if peg else None,
+                    "revenue_growth_pct": round(rg * 100, 1),
+                    "earnings_growth_pct": round(eg * 100, 1),
+                    "roe_pct": round(roe * 100, 1),
+                    "debt_to_equity": round(dte, 1) if dte else None,
+                    "sector": info.get("sector"),
+                    "industry": info.get("industry"),
+                }
+                passed.append(entry)
+                print(f"  ✅ {tick}: PE={tpe:.1f} FPE={fpe:.1f} RG={rg*100:.0f}% EG={eg*100:.0f}% ROE={roe*100:.0f}%")
+            except:
+                continue
+    except Exception as e:
+        print(f"  Batch error: {e}")
+        continue
+
+passed.sort(key=lambda x: x.get("forward_pe", 99))
+
+with open("garp-expanded-scan.json", "w") as f:
+    json.dump(passed, f, indent=2)
+
+print(f"\nDone! {len(passed)} stocks passed GARP screen")
+for s in passed:
+    print(f"  {s['ticker']:6s} ${s['market_cap_B']:6.1f}B  PE:{s['trailing_pe']:5.1f}  FPE:{s['forward_pe']:5.1f}  RG:{s['revenue_growth_pct']:5.1f}%  EG:{s['earnings_growth_pct']:5.1f}%  ROE:{s['roe_pct']:5.1f}%")