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🚀 Phase 2: Capital Deployment Plan

Goal: Deploy $10k-$20k over next 2 weeks Method: Test strategies in paper, deploy winners to live Target: 3-5 new positions, maintain 60%+ win rate


📋 Strategy Selection (Based on Your Winners)

Strategy 1: Momentum Breakout ⭐ PRIMARY

What it does: Buys stocks in strong uptrends with momentum Why it works: This is how you caught NVDA (+55%)

Criteria: - Price > 200-day SMA (long-term uptrend) - RSI > 60 (strong momentum) - Price > 20-day SMA (short-term uptrend) - Recent 7-day gain > 5% - ATR% < 5% (not too volatile)

Exits: - 3x ATR stop loss (adaptive to volatility) - 3x ATR profit target - Or trailing 9% stop

Best for: Trending stocks in bull markets


Strategy 2: RSI Mean Reversion (Backup)

What it does: Buys oversold stocks expecting bounce

Criteria: - RSI < 30 (oversold) - Price < 20-day SMA (dipped) - Recent 7-day drop > 10%

Exits: - 3x ATR stop loss - Quick 5-10% profit target

Best for: Quality stocks that dipped temporarily


Strategy 3: RSI Extremes (Opportunistic)

What it does: Catches extreme moves

Criteria: - RSI < 20 (extremely oversold - rare!)

Exits: - Same as mean reversion

Best for: Panic selling opportunities


🎯 Deployment Workflow

Week 1 (Oct 14-20): Paper Trading

Day 1 (Today): Screen & Deploy to Paper 1. Run momentum scanner on 10-15 candidate stocks 2. Find 3-5 stocks meeting ALL criteria 3. Deploy to Alpaca Paper ($500-$1000 positions) 4. Set ATR-based stops automatically

Candidate Stocks to Screen: - Tech: AAPL, MSFT, AMD, GOOGL, META - Growth: TSLA, SQ, SHOP, COIN - Leveraged ETFs: TQQQ, SOXL, UPRO (if momentum strong) - Sectors: Check strongest sector, screen top stocks

Day 2-3: Monitor Paper Trades - Check positions twice daily (open, close) - Watch for stops triggering - Note which setups work vs don't


Week 2 (Oct 21-27): Live Deployment

Criteria to Go Live: - ✅ Paper trade showed profit (or small loss) - ✅ Strategy logic played out as expected - ✅ No major issues with execution - ✅ Market conditions still favorable

Live Deployment: 1. Select 2-3 best paper performers 2. Deploy $500-$1000 each to Alpaca Live or Schwab 3. Use same stops as paper (3x ATR) 4. Add 9% trailing stop once up 15%

Position Sizing: - Start: $500-$1000 per position - Max per stock: $2000 - Total deployed Week 1: $3k-$5k - Total deployed Week 2: $10k-$15k (if winners)


📊 Success Metrics

Week 1 Targets:

  • [ ] 3-5 paper positions deployed
  • [ ] At least 2 positions profitable
  • [ ] Win rate > 50% on paper
  • [ ] No single loss > 5%

Week 2 Targets:

  • [ ] 2-3 live positions deployed
  • [ ] $5k-$10k capital deployed
  • [ ] At least 1 winner up >10%
  • [ ] No position down >5%

End of Phase 2 (2 weeks):

  • [ ] $10k-$20k total deployed
  • [ ] 5-8 total positions
  • [ ] Win rate > 60%
  • [ ] Portfolio up 5-10% overall

🛠️ Tools & Execution

Today's Action Plan:

Step 1: Screen for Momentum Candidates (30 min)

cd ~/mem-agent-mcp
uv run python3 tools/strategy_tester.py

  • Choose option "1" (Momentum Strategy)
  • Screen 10-15 stocks
  • Note which pass ALL criteria

Step 2: Deploy Top 3-5 to Paper (15 min) - For each passing stock, execute paper trade - $500-$1000 position size - Auto-sets ATR-based stops

Step 3: Document Trades (10 min) - Record entry price, stop, target - Note why it passed criteria - Store in memory system


📝 Candidate Stock List (To Screen Today)

High Priority (Most Likely to Pass):

  1. AAPL - Large cap, liquid, trending
  2. MSFT - Same, AI momentum
  3. NVDA - Your winner, check if still good
  4. AMD - Chip sector momentum
  5. META - AI/tech momentum

Medium Priority:

  1. GOOGL - Big tech
  2. TSLA - High volatility (might fail ATR filter)
  3. COIN - Crypto proxy
  4. SQ - Fintech
  5. SHOP - E-commerce

Leveraged (If Market Strong):

  1. TQQQ - 3x NASDAQ (use smaller size!)
  2. SOXL - 3x Semiconductors
  3. UPRO - 3x S&P 500

Sectors to Check:

  • Run sector ETF scan: XLK (tech), XLF (finance), XLE (energy)
  • Pick strongest sector
  • Screen individual stocks in that sector

⚠️ Risk Management Rules

Per Position:

  • Max size: $1000 (paper), $2000 (live after validation)
  • Always use ATR-based stops (3x ATR)
  • No position > 5% of account

Portfolio:

  • Max deployed: 20% of total ($20k max)
  • Keep 80% cash reserve
  • Max 8 positions at once
  • Max 2 positions same sector

Exit Rules:

  • Stop hits: Exit immediately, no questions
  • Down 5%: Review position, consider exit
  • Up 15%: Add 9% trailing stop
  • Target hit (3x ATR): Take profit or trail

🎯 Expected Outcomes

Conservative Scenario (50% win rate): - 5 positions @ $1000 each = $5000 deployed - 2 winners (+10% each) = +$200 - 2 losers (-5% each) = -$100 - 1 break-even - Net: +$100 (+2%)

Target Scenario (60% win rate): - 10 positions @ $1000 each = $10,000 deployed - 6 winners (+15% avg) = +$900 - 4 losers (-5% avg) = -$200 - Net: +$700 (+7%)

Best Case (70% win rate, like NVDA/LABU): - 10 positions @ $1000 each = $10,000 deployed - 7 winners (+20% avg) = +$1400 - 3 losers (-5% avg) = -$150 - Net: +$1250 (+12.5%)


📅 Timeline

Today (Oct 14): Screen stocks, deploy 3-5 to paper Oct 15-16: Monitor paper trades Oct 17: Review paper performance, deploy first live trade Oct 18-20: Monitor live, deploy 2nd-3rd trades Oct 21-27: Scale to $10k+ deployed Oct 28: Phase 2 review, plan Phase 3


✅ Ready to Start?

Next Command:

cd ~/mem-agent-mcp
uv run python3 tools/strategy_tester.py

Then: 1. Choose "1" for Momentum Strategy 2. Test AAPL first 3. If it passes, execute in paper 4. Repeat for 4-5 more stocks 5. Come back and report results

Goal for today: 3-5 paper positions deployed with momentum strategy!