This tool analyzes how stocks move together during two different market conditions: normal trading days and high-volatility periods (when the primary stock moves more than 1%).
What is Correlation?
+1.0: Perfect positive correlation - stocks move in the same direction
0.0: No correlation - stocks move independently
-1.0: Perfect negative correlation - stocks move in opposite directions
±0.5+: Moderate to strong correlation (our minimum threshold)
Beta
Beta measures volatility relative to SPY. A stock with beta 2.0 moves 2% for every 1% SPY move.
🔄 Two Types of Analysis
1. All Days (Standard Correlation)
Analyzes all 252 trading days from the past year to calculate correlations under normal market conditions.
2. Large Moves (>1% Days Only)
Analyzes ONLY days when the searched stock moved >1% to calculate correlations during volatile periods.
📈 How to Use This Tool
Step 1: Search for a Stock
Enter a ticker symbol. Assume the stock has moved significantly and you need to identify other stocks that trade in tandem during similar events.
Step 2: Toggle Between Modes
All Days: Correlations calculated using all trading days
Large Moves: Correlations calculated using only >1% move days
Step 3: Interpret Results
Correlation values: -1 to +1 scale indicating relationship strength
Sign: Positive (same direction) or negative (opposite direction)
Beta colors: Red (>1.5), Orange (1-1.5), Green (<1)
Step 4: Sort and Filter
Click headers to sort
Use search box to filter by symbol/company/sector
Default sort: highest absolute correlation first
🎯 Trading Applications
Identifying Trading Opportunities
1. Sympathy Momentum
Stocks with high large-move correlation often follow when the primary stock moves significantly.
2. Pairs Trading
High correlation pairs (>0.85) are candidates for mean reversion when relationships temporarily diverge.
3. Sector Analysis
Correlation patterns reveal sector leadership and rotation opportunities.
4. Portfolio Risk
Multiple holdings with high correlations indicate concentration risk.
📋 Use Cases
Scenario 1: Event-Driven Trading
MRNA drops 5% on clinical trial news. "Large Moves" mode identifies which biotechs historically move with MRNA on volatile days.
Scenario 2: Statistical Arbitrage
Identify pairs with 0.9+ correlation. Trade divergences expecting mean reversion.
Scenario 3: Risk Assessment
Analyze portfolio holdings to identify unintended correlation clusters.