QQQ Wishing Wealth Prediction Model

A standalone model for predicting next-day QQQ price movements based on Dr. Eric Wish's Wishing Wealth methodology, enhanced with machine learning.

Quick Start

# Install dependencies
pip install -r requirements.txt

# Run prediction
python run_prediction.py

Features

Core Strategy (Wishing Wealth GMI)

The model calculates a 6-component General Market Index (GMI) scoring 0-6:

Component	What It Measures	Threshold
Successful New High Index	Stocks at 52-week high 10 days ago still higher	>100 stocks
Daily New Highs	Breadth of market strength	>100 new highs
Daily QQQ	QQQ above 10-week MA	Uptrend
Daily SPY	SPY above 10-week MA	Uptrend
Weekly QQQ	10-week MA > 30-week MA	Bullish trend
IBD Fund Proxy	Growth fund (XLK) above 50-day MA	Above MA

Signal Interpretation:

• GMI 5-6 (GREEN): Go long aggressively
• GMI 3-4 (YELLOW): Be defensive/nimble
• GMI 0-2 (RED): Go to cash or short

Supplementary Indicators

• Stochastic (10.4.4): Oversold bounce detection (<20)
• T2108 Proxy: Market breadth (<20% = oversold)
• Bollinger Bands: Blue Dot setup detection
• MA Framework: 10-week vs 30-week trend confirmation

ML Enhancement

• Random Forest direction classifier
• Voting ensemble for magnitude prediction
• Volatility regime detection
• Confidence-weighted signal combination

Usage

Quick Prediction

python run_prediction.py

Run Backtest

python run_prediction.py --backtest

Daily Run (with database logging)

python run_prediction.py --daily

Configure Email Notifications

python run_prediction.py --setup-email

4:05 PM Options Trading Report

python run_405.py

Generates complete report with:

• GMI score with real breadth data from FINVIZ
• Options recommendation (calls/puts/no trade)
• Blog comparison with wishingwealthblog.com
• Database storage for tracking

Schedule Daily Runs (Windows)

Run as Administrator:

.\setup_scheduler.bat

This schedules the model to run at 4:05 PM ET on weekdays for the 4:00-4:15 PM options trading window.

Project Structure

QQQ-Wishing-Wealth-Model/
├── run_prediction.py          # Main entry point
├── requirements.txt           # Dependencies
├── setup_scheduler.bat        # Windows Task Scheduler setup
├── setup_scheduler.ps1        # PowerShell scheduler setup
├── config/
│   └── config.json            # Email and model settings
├── src/
│   ├── __init__.py
│   ├── gmi_calculator.py      # GMI (6 components)
│   ├── supplementary_indicators.py
│   ├── ml_enhancement.py      # ML layer
│   ├── qqq_wishing_wealth_model.py  # Main model
│   ├── backtester.py          # Historical testing
│   └── daily_runner.py        # Scheduled execution
├── data/                      # Cached market data
├── outputs/                   # Predictions and reports
│   └── backtests/             # Backtest results
└── logs/                      # Daily run logs

Output Example

============================================================
RESULTS
============================================================

Date: 2024-12-16
Prediction For: 2024-12-17
Current QQQ: $527.45

GMI: 5/6 (GREEN)
  - 5 of 6 components positive
MA Framework: STRONG_BULLISH
  - Price vs 10-week MA: +3.2%
Stochastic (10.4.4): 65 - NEUTRAL
Volatility Regime: NORMAL (18.5% annualized)

PREDICTION: UP
  Expected move: +0.45%
  Confidence: 72%
  (Signals aligned - higher confidence)

============================================================
TRADING RECOMMENDATION
============================================================
Action: BUY
Instrument: QQQ or TQQQ (leveraged)
Position Size: 100%

Configuration

Edit config/config.json:

{
  "email": {
    "enabled": true,
    "smtp_server": "smtp.gmail.com",
    "smtp_port": 587,
    "sender_email": "your-email@gmail.com",
    "sender_password": "your-app-password",
    "recipients": ["recipient@email.com"]
  },
  "model": {
    "lookback_days": 730,
    "gmi_entry_threshold": 5,
    "gmi_exit_threshold": 2
  }
}

Strategy Reference

Based on Wishing Wealth Blog:

• About the GMI
• Green Line Breakout
• Stochastic Bounces

Disclaimer

This model is for educational purposes only. Past performance does not guarantee future results. Always do your own research and consult a financial advisor before making investment decisions.