Clean, precise trend analysis for the S&P 500 with high-precision reversal detection.

# Run SPX historical analysis with visual arrows (35+ years)
python verify_spx_analysis.py

# Quick historical events summary
python historical_summary.py

# Run quick SPX summary
python multi_stock_analyzer.py

# Quick 6-month demo
python demo.py

Trend Setter analyzes 35+ years of S&P 500 history and identifies major trend reversals with surgical precision:

• 🟢 Bullish Arrows: Significant market bottoms with confirmed recoveries (5%+ price moves)
• 🔴 Bearish Arrows: Significant market tops with confirmed declines (5%+ price moves)
• No Noise: Only shows meaningful directional changes, minimum 8 weeks apart

• Uses rolling window peak/trough detection
• Confirms reversals with 5%+ price moves
• Validates with trend score changes (10+ point shifts)
• Prevents consecutive same-direction arrows

• Single-panel SPX price chart
• Large, clear directional arrows at exact reversal points
• Professional styling with currency formatting
• Focus on actionable signals only

• RSI (14): Momentum oscillator
• MACD (12,26,9): Trend following
• EMA (10,30): Moving averages
• Trend Score: Proprietary 0-100 scoring system

outputs/
├── spx_historical_trend_reversals.png    # 35+ year chart with arrows
├── spx_historical_data.csv               # Complete historical analysis data
└── spx_summary.csv                       # Current status summary

• Strong Bullish (80-100): 🟢🟢 Aggressive growth phase
• Bullish (60-79): 🟢 Healthy uptrend
• Neutral (40-59): ⚪ Sideways/uncertain
• Bearish (21-39): 🔴 Declining trend
• Strong Bearish (0-20): 🔴🔴 Major correction

src/
├── data/fetcher.py           # yfinance data retrieval
├── indicators/
│   ├── oscillators.py        # RSI calculations
│   └── trend.py              # MACD, EMA calculations
└── scoring/trend_scorer.py   # Proprietary trend scoring

• Market Timing: Identify major S&P 500 turning points
• Risk Management: Spot potential trend reversals early
• Strategic Planning: Long-term trend analysis for portfolios
• Education: Learn to spot high-quality technical signals

pandas>=2.0.0
yfinance>=0.2.0
matplotlib>=3.7.0
ta>=0.11.0

35+ Year Analysis (1990-2025):

• Total Return: +1,656%
• Annualized Return: +8.4%
• Current Status: Strong Bullish regime (score: 76.9)
• Trend Reversals Captured: 60 major turning points
• Major Cycles Covered: Dot-com bubble, 9/11, Financial Crisis, COVID-19

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