🚀 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:
- Finviz.com (Free Stock Screener)
- Go to: https://finviz.com/screener.ashx
- Preset: "Top Gainers" or "New Highs"
- Filters:
- Market Cap: +Mid (over $2B)
- Average Volume: Over 500K
- RSI(14): Over 60
- Price: Above SMA20, Above SMA200
-
Export top 10-20 stocks
-
TradingView.com (Free Charts)
- Check daily charts
-
Look for: Clean uptrend, volume increasing, above key MAs
-
Your Winning Pattern (NVDA Example)
- What sector is hot right now? (Was AI for NVDA)
- Early in trend or late? (Early = better)
- 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
- Screen on Finviz (20 min)
- Run "Top Gainers" + "New Highs" scans
- Filter for volume, price > MAs
-
Get 10-15 candidates
-
Chart Review (20 min)
- TradingView: Check daily charts
- Eliminate weak setups
-
Narrow to 5 best
-
AI Analysis (20 min)
- Use LM Studio to analyze top 5
- Or ask me to analyze them!
- Pick top 2-3
Tomorrow (Oct 15) - Paper Deploy¶
Time: 30 minutes
- Deploy 2-3 positions to Alpaca Paper
- $500-$1000 each
- Set stops manually
-
Document in memory system
-
Set calendar reminder
- Check positions at market close
- Log any changes
Oct 16-17 - Monitor & Adjust¶
- Check paper trades
- Any winners? Scale up
- Any losers? Learn why
-
Adjust stops if needed
-
Deploy first live trade (if paper looks good)
- Pick best paper performer
- Deploy same setup to Schwab/Alpaca Live
- Small size: $500-$1000
Oct 18-20 - Scale Up¶
- Add 2-3 more positions (if first ones working)
- Total deployed: $5k-$10k by end of week
- 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:
- Follow sector rotation
- What sector is NVDA in? (Semiconductors)
- Is sector still strong? Check XLK, SMH ETFs
-
Buy other strong stocks in same sector
-
Leveraged sector plays
- If semiconductors strong: SOXL (3x leverage)
- If tech strong: TQQQ (3x NASDAQ)
-
WARNING: Use smaller positions, more volatile!
-
ETF rotation
- Safer than individual stocks
- QQQ (NASDAQ 100)
- SPY (S&P 500)
- 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:
- Analyze specific stocks
- "Analyze AAPL for momentum trade"
-
I'll give entry/exit/rationale
-
Review trade ideas
- "Should I buy XYZ at $50?"
-
I'll check setup and give opinion
-
Track positions
- "Store this trade to memory"
-
I'll create proper entity files
-
Calculate position sizes
- "How much of ABC should I buy?"
- I'll calculate based on risk tolerance
🚀 Let's Start!¶
Want me to:
- Analyze 3-5 specific stocks you're interested in?
- Just give me the symbols
-
I'll provide full momentum analysis
-
Help you research a hot sector?
- Tell me what sector looks interesting
-
I'll find best stocks in it
-
Review your Finviz scan results?
- Paste the symbols you found
- I'll help narrow down to best 2-3
What would be most helpful right now?