Wyckoff Schematic Detector

Automatically detect and visualize Wyckoff Method accumulation and distribution patterns in real-time.

Overview

Identifies smart money movements using Richard Wyckoff's century-old method:

• Accumulation phases (smart money buying)
• Distribution phases (smart money selling)
• Phase transitions (PS, SC, AR, ST, Spring, UTAD, SOW, etc.)

Features

Phase Detection

• Preliminary Support (PS): First buying appears after prolonged downtrend
• Selling Climax (SC): Panic selling on high volume, capitulation
• Automatic Rally (AR): Natural bounce after SC
• Secondary Test (ST): Retest of SC lows
• Spring/Shakeout: Final fake breakdown before markup
• Last Point of Support (LPS): Higher low confirmations
• Sign of Strength (SOS): Breakout above resistance

Distribution Detection

• Preliminary Supply (PSY): First selling after uptrend
• Buying Climax (BC): Euphoric buying on high volume
• Automatic Reaction (AR): Pullback after BC
• Secondary Test (ST): Retest of BC highs
• Upthrust After Distribution (UTAD): Failed breakout
• Sign of Weakness (SOW): Breakdown signals

Volume Analysis

• Volume spread analysis at each phase
• Effort vs Result comparison
• Supply/demand strength measurement
• No-demand and no-supply candles

Visual Elements

• Phase labels on chart
• Trading range boundaries
• Creek/ice levels (support/resistance)
• Volume annotations
• Alert zones

Configuration

wyckoff_schematic:
  sensitivity: medium  # low, medium, high
  min_range_bars: 20   # minimum bars for trading range
  volume_threshold: 1.5 # volume spike multiplier
  show_labels: true
  show_annotations: true
  alert_on_spring: true
  alert_on_utad: true
  timeframes: [1h, 4h, 1d]
  assets: [BTC, ETH, SPY]

Outputs

• phase: Current Wyckoff phase (accumulation, distribution, markup, markdown)
• event: Latest detected event (SC, AR, ST, Spring, etc.)
• probability: Confidence level (0-100%)
• bias: Expected direction (bullish, bearish, neutral)
• range_high: Trading range resistance
• range_low: Trading range support
• volume_context: Volume analysis summary

Alerts

• Spring Detected: High probability reversal from accumulation
• UTAD Detected: Distribution complete, markdown likely
• Phase Transition: Moving to new phase
• Volume Anomaly: Unusual volume in context

Trading Integration

// Auto-trade on high confidence springs
if (event === 'spring' && probability > 75) {
  kit.execute({
    action: 'buy',
    size: 'position_size',
    stop: range_low * 0.99,
    target: range_high
  });
}

Best Practices

1. Use on higher timeframes (1H+) for reliability
2. Combine with volume profile for confirmation
3. Wait for LPS after spring for safer entries
4. Never trade against the schematic

References

• Richard D. Wyckoff original methodology
• David Weis "Trades About to Happen"
• TradingView "Wyckoff Schematic" by Kingshuk Ghosh