The PairTradingPRO Correlation Matrix is a heatmap of statistical relationships between: crypto futures, stocks, and currency pairs. In a couple of clicks, it helps you find instruments that have historically moved in sync. These pairs suit pair trading and mean reversion strategies: you trade the spread between two assets when their usual relationship temporarily breaks.
🤖 Quick Answer
What is the PairTradingPRO Correlation Matrix?
It is a web-based tool for visually analyzing correlations between assets across different markets. The matrix shows pairwise correlation between instruments as a heatmap:
- deep green — strong positive relationship;
- white — almost no relationship;
- pink — negative relationship.
The tool covers assets: crypto futures, U.S. stocks (AAPL, COIN, GS, GOOGL, JPM, MSFT, BAC), and currency pairs (EURUSD, GBPUSD, USDJPY, USDCHF, AUDUSD, NZDUSD). The timeframe can be changed. Relationships you find can be checked in the Correlation Screener, turned into a spread in the Spread Builder, and traded automatically in the desktop terminal. The web version is free for 7 days.
🎯 Why You Need a Correlation Matrix
A correlation matrix is a map of the market for a pair trader. It does four jobs:
- Finding pair candidates. Bright green cells immediately show assets that move in sync.
- Spotting clusters. You can see which groups of assets move as one: meme coins, Layer 1 blockchains, DeFi tokens.
- Managing portfolio risk. Five positions with 80% correlation between them are really one big bet, not diversification.
- Cross-market analysis. You can see how much crypto depends on the stock market and the U.S. dollar.
⚙️ Interface: The Control Panel
- Timeframe — the calculation timeframe (for example, H1, hourly candles). Short timeframes capture intraday co-movement better. Higher timeframes reveal more fundamental, long-term relationships.
- INSTRUMENTS — how many instruments are currently shown out of the total.
- Selection of trading instruments — choose which assets appear in the matrix. Keep only the instruments you care about instead of scrolling through hundreds of rows.
- Row groups (for example, CRYPTO FUTURES) — instruments are grouped by market, and each group collapses with an arrow. The .FT suffix marks a futures contract.
🧭 How to Read the Correlation Matrix
1️⃣ Rows and Columns
Each cell where a row and a column meet shows the correlation between those two assets as a percentage. For example, the 1000PEPEUSDT.FT row and the DOGEUSDT column show how closely PEPE and DOGE move together.
The columns are reference assets from different markets:
|
Group |
Instruments |
|---|---|
|
Crypto |
BTCUSDT, ETHUSDT, SOLUSDT, AVAXUSDT, DOGEUSDT, 1000SHIBUSDT, UNIUSDT, AAVEUSDT |
|
Stocks |
AAPL, COIN, GS, GOOGL, JPM, MSFT, BAC |
|
Forex |
EURUSD, GBPUSD, USDJPY, USDCHF, AUDUSD, NZDUSD |
2️⃣ Color Scale
|
Color |
Value |
What it means |
|---|---|---|
|
Blue (100%) |
Asset against itself |
A reference cell (1000SHIB × 1000SHIB, AAVE × AAVE, AVAX × AVAX) |
|
Deep green |
~70–85% |
Strong relationship: first candidates for pairs |
|
Light green |
~40–65% |
Moderate relationship: shared market background, but not a pair |
|
White |
around 0% |
The assets move independently |
|
Pink |
negative values |
The assets tend to move in opposite directions |
Blue 100% cells are not trading signals. An asset always correlates perfectly with itself. These cells simply help you find your way around the table.
⚠️ The Golden Rule: Correlation Needs Economic Logic
A high correlation should be backed by a fundamental link: the same industry, similar products, or a shared underlying asset. Without economic logic, a high correlation often turns out to be false and temporary.
Three more points to keep in mind:
- Correlation ≠ cointegration. Moving in sync does not guarantee that the spread between two assets will return to its mean. This has to be checked separately.
- Correlations change. In a bull market almost everything moves together; in a quiet market, relationships fall apart. The matrix is a snapshot of the current state, not a permanent truth.
- Cross-market relationships depend on the timeframe. Crypto trades 24/7, while stocks trade only during market hours. On hourly candles this can understate cross-market correlation, so re-check these relationships on higher timeframes.
🛠 How to Use the Matrix: Step by Step
- Choose a timeframe that fits your style: H1 for intraday trading, higher timeframes for position trading.
- Narrow the list with Selection of trading instruments: keep only your market or sector.
- Find bright green clusters — groups of assets with correlations of 75–80% or higher.
- Check the economic logic: same sector? competitors? a shared driver?
- Examine the pair in the Correlation Screener: relationship stability, 30/90/180-day windows, the Pearson–Spearman gap, and the Health Score.
- Build the spread in the Spread Builder and see how often and how quickly it returns to the mean.
- Automate: set the pair and your entry and exit conditions in the PairTradingPRO desktop terminal. The robot watches the market 24/7 and opens both legs at the same time.
For cross-exchange arbitrage of the same asset, the ecosystem offers CryptoArb Scanner. It accounts for the constant offset between exchanges and filters out false spreads.
🆚 Correlation Matrix vs. Correlation Screener: Which One to Use?
|
Correlation Matrix |
Correlation Screener |
|
|---|---|---|
|
Purpose |
Market overview, cluster discovery |
In-depth check of specific pairs |
|
Format |
All-to-all heatmap |
Ranked table |
|
Metrics |
Correlation in percent |
ρ, Min/Max, 30/90/180d, R², Spearman, Health Score |
|
When to use |
Stage one — generating ideas |
Stage two — selecting the best pairs |
The best results come from using both: the matrix finds ideas, the screener checks them.
🏁 Conclusion
The PairTradingPRO Correlation Matrix turns hundreds of instruments into a clear heatmap. It shows:
- clusters of assets that move as one;
- loners with their own dynamics;
- how crypto relates to the stock market and the U.S. dollar.
It is the first step of the full pair trading cycle: Correlation Matrix → Correlation Screener → Spread Builder → Desktop Terminal.
Open the Correlation Matrix free for 7 days and find your first cluster for a market-neutral strategy.