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🚀 HYBRID APPROACH - WEEKLY ROADMAP

Start Date: Feb 3, 2026
Goal: Live trading ready in 3-4 weeks with profitable strategy


📅 WEEK 1 (Feb 3-9): Backtest Optimization Phase

Priority: Find a PROFITABLE strategy

Current Status:

  • EMA(32/45) → -0.11% (LOSING) ❌
  • Need to find parameters with:
    • Win rate > 40%
    • Profit factor > 1.2
    • Sharpe ratio > 0.5

Tasks:

Day 1-2 (Today): Parameter Sweep

  • Run run_optimization_fast.py with wider EMA ranges
    • Fast: 5-50 (step 2)
    • Slow: 20-200 (step 10)
    • ~437 combinations to test
  • Test multiple EMA strategies:
    • Very fast: EMA(5-15) / EMA(20-40)
    • Medium: EMA(15-30) / EMA(40-80)
    • Slow: EMA(30-50) / EMA(100-200)
  • Save top 10 results

Day 3-4: Evaluate Best Candidates

  • Take top 3 EMA pairs from optimization
  • Walk-forward validation on each:
    • Split data: Train (60 days) → Test (30 days) → OOS (30 days)
    • Must perform similar in OOS as training
    • Check for overfitting
  • Select BEST performer (highest Sharpe in OOS)

Day 5-7: Risk Analysis & Fine-tuning

  • For best EMA:
    • Adjust stop-loss: 3% → 1.5% (reduce drawdown)
    • Adjust take-profit: 5% → 10% (bigger winners)
    • Run sensitivity analysis
    • Check drawdown periods
  • Generate detailed backtest report

Week 1 Goal: Have 1 profitable strategy ready


📅 WEEK 2 (Feb 10-16): Paper Trading Setup

Objective: Match backtest results in real market

Day 1-2: Environment Setup

  • Implement live data feed (CCXT streaming)
    • Real-time 1h candles
    • Proper timestamp handling
    • Latency tolerance

Day 3-5: Paper Trading Engine

  • Create paper_trader.py that:
    • Pulls live CCXT data
    • Runs strategy in real-time (not backtest)
    • Simulates order execution
    • Tracks fills, commissions, slippage
    • Sends Telegram alerts on trades
  • Test for 2-3 days
    • Monitor logs
    • Verify candle timing
    • Check order mechanics

Day 6-7: Validation

  • Compare:
    • Historical backtest metrics
    • vs. Paper trading metrics (first week)
    • Should be similar (±2-3% variance)
  • If matches → proceed to live
  • If different → debug & adjust

Week 2 Goal: Paper trading running, metrics validated


📅 WEEK 3 (Feb 17-23): Small Live Trading

Objective: Real money, small size, risk mitigation

Day 1-2: Account Setup

  • Configure Binance margin account connection
  • Set trading capital: $100-500 (test amount)
  • Strict position size: 0.001-0.01 BTC max
  • Emergency stop-loss at account level

Day 3-7: Live Trading Monitoring

  • Deploy to production
  • Monitor 24/7 (set Telegram alerts)
  • Track all trades in database
  • Daily P&L review
  • Document any issues

Week 3 Goal: 10-20 real trades, validated system


📅 WEEK 4+ (Feb 24+): Scale & Optimize

  • Increase position size gradually
  • Add more strategies (multi-asset)
  • Implement advanced risk management
  • Set up performance dashboard

🔥 CRITICAL SUCCESS FACTORS

Factor Target Current Status
Win Rate >40% 7.7% ❌ NEEDS FIX
Profit Factor >1.2 0.39 ❌ NEEDS FIX
Sharpe Ratio >0.5 N/A ⚠️ TBD
Max Drawdown <15% N/A ⚠️ TBD
Backtest vs Paper Match <5% diff N/A ⚠️ TBD

💻 CODE CHANGES NEEDED

1. Fast Optimization Script (DONE)

run_optimization_fast.py  # 437 combinations in 2-3 min

2. Live Data Feed (TODO)

src/data/stream.py  # Real-time CCXT candles

3. Paper Trading Engine (TODO)

scripts/paper_trader.py  # Simulate live trading

4. Live Trader (TODO)

scripts/live_trader.py  # Real order execution

5. Monitoring Dashboard (TODO)

src/monitoring/dashboard.py  # Grafana/web dashboard

📊 SUCCESS METRICS

Weekly Goals:

Week Metric Target
1 Find profitable params Sharpe > 0.5 in OOS
2 Paper trading match Backtest ≈ Paper ±2-3%
3 Live P&L Positive in first 20 trades
4+ Consistent returns Monthly Sharpe > 1.0

⚠️ RISK MITIGATION

  • Start with small capital ($100)
  • Hard stop-loss at -2% account loss
  • Position limits to 0.5% account per trade
  • Daily review of all trades
  • Immediate rollback if something breaks

🎯 SUCCESS DEFINITION

Live Trading Success = First month with:

  • At least 15 trades
  • Win rate > 35%
  • Positive P&L
  • Zero system errors
  • All Telegram alerts working

Then: Scale to $1,000+ capital


Last Updated: Feb 3, 2026
Next Review: After Week 1 optimization complete