🎯 Our Methodology:
The 14 methods used by the Oracle

🎯 What This Tool Does

Automatically identifies the 5 phases of the Wyckoff cycle: Accumulation → Mark-up → Distribution → Mark-down → Re-accumulation.

💡 How to Use It

• 🟢 Accumulation Phase : Preparing for upside → watch for entry
• 🔴 Distribution Phase : Preparing for downside → avoid buying
• ⚡ Mark-up Transition : Optimal entry signal

🎯 What This Tool Does

Detects divergences between price and oscillators (RSI, MACD, Volume): early sign of potential reversal.

💡 Divergence Types

• 🔻 Bearish : Price ↗ + Oscillator ↘ → correction risk
• 🔺 Bullish : Price ↘ + Oscillator ↗ → buying opportunity
• ⚠️ Hidden : Confirms ongoing trend

🎯 What This Tool Does

Classifies the market into 3 statistical regimes: Bull Trend, Range, or Bear Trend — with probabilities.

💡 How to Use It

• 🟢 Bull Trend : Favor longs, wider stops
• 🟡 Range : Mean-reversion trading, tight take profits
• 🔴 Bear Trend : Reduce exposure, favor cash

🎯 What This Tool Does

Analyzes volume anomalies to detect « smart money » activity (institutions): discreet accumulation or distribution.

💡 Key Signals

• 📈 Volume rising + Price stable : Accumulation → potential breakout
• 📉 Volume rising + Price falling : Distribution → drop risk
• ⚡ Isolated volume spike : One-time event → wait for confirmation

🎯 What This Tool Does

Uses a Hidden Markov Model to identify unobservable market states and predict probable transitions before they become visible on price.

💡 Key Advantage

• 🔮 Anticipation : Detects regime changes 12-48h before classic indicators
• 📊 Probabilities : Provides statistical confidence (e.g., 82% bull trend)
• 🎯 Filtering : Eliminates false signals during uncertain regimes

🎯 What This Tool Does

Calculates the fundamental value of an asset via valuation models (DCF, P/E ratio, PEG, EV/EBITDA) and compares it to the current market price.

💡 How to Use It

• 🟢 Price < Value : Undervalued asset → buying opportunity
• 🔴 Price > Value : Overvalued asset → correction risk
• ⚖️ Price ≈ Value : Fair price → wait for better entry

📊 Methodology

• Stocks : DCF (Discounted Cash Flow) + sector multiples
• Crypto : NVT Ratio, MVRV Z-Score, Stock-to-Flow models
• Indices : Shiller P/E (CAPE Ratio), yield gap

🎯 What This Tool Does

Compares an asset’s performance against its benchmark (reference index, sector, or peer basket) to identify leaders and laggards.

💡 How to Use It

• 📈 Rising RS : Asset outperforming → favor buying
• 📉 Falling RS : Asset underperforming → avoid or sell
• 🔄 Stable RS : In-line performance → neutral

🏆 Strategy

• Sector rotation : Identify leading sectors
• Stock picking : Choose best stocks within a sector
• Market timing : Detect relative trend changes

🎯 What This Tool Does

Analyzes dynamic correlations between different markets (stocks, crypto, forex, commodities) to understand risk contagion and optimize diversification.

💡 How to Use It

• 🔴 Strong correlation (+) : Markets move together → systemic risk
• 🟢 Weak/negative correlation : Effective diversification → risk reduction
• 📊 Correlation change : Alert signal → adjust allocation

🌍 Applications

• Flight to quality : When correlations spike → crisis in progress
• Sector rotation : Identify decorrelated sectors
• Hedging : Choose negatively correlated assets for protection

🎯 What This Tool Does

Maps volume traded at each price level (not over time) to identify institutional liquidity zones, the Point of Control (POC) and the Value Area.

💡 Key Concepts

• POC (Point of Control) : Price with maximum volume → price magnet
• Value Area (VA) : Zone where 70% of volume traded → fair value zone
• High/Low Volume Nodes : High/low liquidity zones → support/resistance

📊 Trading strategies

• Reversion to POC : Price often returns to POC after breakout
• Breakout validation : Breakout with low volume above is suspect
• Support/Resistance : High Volume Nodes are key zones

🎯 What This Tool Does

Measures Shannon entropy (disorder/uncertainty) of price series to determine if the market is in a predictable state (low entropy) or chaotic state (high entropy).

💡 How to Use It

• 🟢 Low entropy : Predictable market → trend-following strategies effective
• 🔴 High entropy : Chaotic market → avoid trading or reduce size
• 📊 Entropy change : Regime transition → adjust strategy

🔬 Applications

• Signal filtering : Only trade when entropy is low
• Strategy adaptation : Switch from trend-following to mean-reversion based on entropy
• Crisis detection : Entropy spikes before/during crashes

🎯 What This Tool Does

Statistical analysis of price waves (amplitude, duration, frequency) to identify the current cycle and project the probable end of the ongoing trend.

💡 Key Metrics

• Average amplitude : Typical gain/loss of a wave on this asset
• Average duration : Average time for a complete cycle
• Wave maturity : % completion of current wave (0-100%)

📊 How to Trade

• Wave start (0-30%) : Enter in trend direction
• Wave middle (30-70%) : Stay invested, trailing stop
• Wave end (70-100%) : Prepare exit, reduce exposure

🎯 What This Tool Does

Models assets (especially crypto and growth stocks) via Power Laws to estimate long-term trajectory and identify over/undervaluation zones relative to the structural trend.

💡 Applications

• Bitcoin : Stock-to-Flow Model, NVT Ratio, MVRV Z-Score
• Tech Stocks : Exponential growth modeled by Power Law
• Indices : Secular trends (10+ years)

📊 Interpretation

• Price > Power Law : Overvalued → correction risk
• Price < Power Law : Undervalued → long-term buying opportunity
• Price ≈ Power Law : Fair value → gradual accumulation

🎯 What This Tool Does

Aggregates market sentiment via NLP (Natural Language Processing) on news, social media, forums, and technical indicators to create a composite Fear & Greed indicator.

💡 Data Sources

• Social Media : Twitter, Reddit, Telegram (sentiment analysis)
• News : Google News, CryptoPanic (positive/negative tone)
• Technical indicators : Volatility, Momentum, Put/Call Ratio
• On-chain : Whale activity, exchange flows (crypto)

📊 How to Use It

• Extreme Fear (0-25) : Buying opportunity → « Buy when there’s blood »
• Neutral (40-60) : Balanced market → follow the trend
• Extreme Greed (75-100) : Correction risk → take profits

🎯 What This Tool Does

The Quantum Scanner analyzes real-time data from the other 13 tools to detect favorable market configurations. It’s a detection engine that identifies potential opportunities based on multi-dimensional criteria.

⚙️ How It Works

1. Analysis : Scans all 13 tools in parallel
2. Detection : Identifies favorable configurations
3. Scoring : Assigns a probability score to each opportunity
4. Alert : Generates a notification when a threshold is crossed

🎯 Difference from The Oracle

• Quantum Scanner : Detects opportunities (Tool #14)
• The Oracle : Validates & aggregates signals (convergence system)