Skip to content

🚀 Phase 2: Practical Deployment Guide

Reality Check: Automated backtesting is limited by API data access. Solution: Use a hybrid approach - Manual research + AI analysis + Small position testing


🎯 The Practical Workflow

Step 1: Find Candidates (15 minutes)

Use these free sources:

  1. Finviz.com (Free Stock Screener)
  2. Go to: https://finviz.com/screener.ashx
  3. Preset: "Top Gainers" or "New Highs"
  4. Filters:
    • Market Cap: +Mid (over $2B)
    • Average Volume: Over 500K
    • RSI(14): Over 60
    • Price: Above SMA20, Above SMA200
  5. Export top 10-20 stocks

  6. TradingView.com (Free Charts)

  7. Check daily charts
  8. Look for: Clean uptrend, volume increasing, above key MAs

  9. Your Winning Pattern (NVDA Example)

  10. What sector is hot right now? (Was AI for NVDA)
  11. Early in trend or late? (Early = better)
  12. Volume confirming? (High volume = strong)

Step 2: AI Analysis with LM Studio (10 min per stock)

Use your local LLM for analysis:

# Ask LM Studio to analyze a candidate
curl -X POST http://localhost:8000/v1/completions \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "Analyze AAPL stock for momentum trading:\n- Current price trend\n- Sector strength\n- Risk factors\n- Entry/exit strategy\nProvide concise analysis for swing trade.",
    "max_tokens": 500
  }'

Or create a simple analysis script that queries LM Studio for each candidate.


Step 3: Manual Position Entry (5 min per trade)

For Paper Trading (Alpaca): 1. Go to: https://app.alpaca.markets/paper/dashboard 2. Trade → Enter symbol 3. Buy with $500-$1000 4. Set stop loss manually (use recent support or -5%) 5. Set target manually (+10-15%)

For Live Trading (Schwab): 1. Go to: schwab.com → Trade 2. Enter symbol, quantity 3. Use "Conditional Orders" for stop/target 4. Start small ($500-$1000)


Step 4: Track in Memory System (5 min)

After each trade, store it:

cd ~/mem-agent-mcp
# Create trade entity
cat > ~/Documents/memory/entities/trading/trades/trade_$(date +%Y%m%d_%H%M)_SYMBOL.md << EOF
---
type: trade
symbol: AAPL
entry_date: $(date +%Y-%m-%d)
entry_price: $175.50
quantity: 6
position_size: $1053
stop_loss: $167.00 (-4.8%)
target: $192.50 (+9.7%)
strategy: momentum
account: alpaca-paper
status: open
---

# Trade: AAPL Momentum Play

## Entry Rationale:
- Strong uptrend above all MAs
- RSI 65 (momentum strong but not overbought)
- Tech sector leading market
- Similar setup to NVDA winner

## Risk Management:
- Stop: $167 (recent support)
- Target: $192.50 (next resistance)
- Risk/Reward: 1:2

## Monitoring:
- Check daily at close
- Move to trailing stop if +15%

EOF

📋 This Week's Action Plan

Today (Oct 14) - Research Phase

Time: 1 hour

  1. Screen on Finviz (20 min)
  2. Run "Top Gainers" + "New Highs" scans
  3. Filter for volume, price > MAs
  4. Get 10-15 candidates

  5. Chart Review (20 min)

  6. TradingView: Check daily charts
  7. Eliminate weak setups
  8. Narrow to 5 best

  9. AI Analysis (20 min)

  10. Use LM Studio to analyze top 5
  11. Or ask me to analyze them!
  12. Pick top 2-3

Tomorrow (Oct 15) - Paper Deploy

Time: 30 minutes

  1. Deploy 2-3 positions to Alpaca Paper
  2. $500-$1000 each
  3. Set stops manually
  4. Document in memory system

  5. Set calendar reminder

  6. Check positions at market close
  7. Log any changes

Oct 16-17 - Monitor & Adjust

  1. Check paper trades
  2. Any winners? Scale up
  3. Any losers? Learn why
  4. Adjust stops if needed

  5. Deploy first live trade (if paper looks good)

  6. Pick best paper performer
  7. Deploy same setup to Schwab/Alpaca Live
  8. Small size: $500-$1000

Oct 18-20 - Scale Up

  1. Add 2-3 more positions (if first ones working)
  2. Total deployed: $5k-$10k by end of week
  3. Document everything in memory

🎓 Learning from NVDA (+55%)

What made NVDA work: 1. Early in trend: AI chips becoming hot topic 2. Strong fundamentals: Real revenue growth 3. Sector momentum: All chip stocks rising 4. Entry timing: Bought before major run 5. Patience: Held through volatility

Apply to new trades: - Look for emerging trends (not exhausted ones) - Buy quality companies (not junk) - Enter when sector showing strength - Don't chase after 50%+ runs - Use stops, but give room to work


💡 Alternative: Copy Winning Trades

If screening seems overwhelming:

  1. Follow sector rotation
  2. What sector is NVDA in? (Semiconductors)
  3. Is sector still strong? Check XLK, SMH ETFs
  4. Buy other strong stocks in same sector

  5. Leveraged sector plays

  6. If semiconductors strong: SOXL (3x leverage)
  7. If tech strong: TQQQ (3x NASDAQ)
  8. WARNING: Use smaller positions, more volatile!

  9. ETF rotation

  10. Safer than individual stocks
  11. QQQ (NASDAQ 100)
  12. SPY (S&P 500)
  13. XLK (Tech sector)

🎯 Realistic Phase 2 Goals (Revised)

Week 1:

  • [ ] Find 5-10 candidates via Finviz
  • [ ] Deploy 2-3 to paper account
  • [ ] Deploy 1 to live (if confident)
  • [ ] Capital deployed: $2k-$5k

Week 2:

  • [ ] Add 2-3 more positions
  • [ ] Total deployed: $10k-$15k
  • [ ] Win rate: >50%
  • [ ] Document all trades

🆘 Need Help?

I can help you:

  1. Analyze specific stocks
  2. "Analyze AAPL for momentum trade"
  3. I'll give entry/exit/rationale

  4. Review trade ideas

  5. "Should I buy XYZ at $50?"
  6. I'll check setup and give opinion

  7. Track positions

  8. "Store this trade to memory"
  9. I'll create proper entity files

  10. Calculate position sizes

  11. "How much of ABC should I buy?"
  12. I'll calculate based on risk tolerance

🚀 Let's Start!

Want me to:

  1. Analyze 3-5 specific stocks you're interested in?
  2. Just give me the symbols
  3. I'll provide full momentum analysis

  4. Help you research a hot sector?

  5. Tell me what sector looks interesting
  6. I'll find best stocks in it

  7. Review your Finviz scan results?

  8. Paste the symbols you found
  9. I'll help narrow down to best 2-3

What would be most helpful right now?