A correlation answers questions like:

• Do two assets tend to rise and fall together?

• Do they move in opposite directions?

• Is their relationship strong, weak, or nonexistent?

Correlation formulas are especially useful for understanding relationships, diversification, and structural alignment between markets.

What correlation means

Correlation is a statistical measure that describes the degree of linear relationship between two time series.

In this system, correlation values range from:

• +1.0 → Perfect positive correlation (both values move in the same direction)

• 0.0 → No meaningful correlation (movements are unrelated)

• -1.0 → Perfect negative correlation (values move in opposite directions)

Most real-world correlations fall somewhere in between.

Why correlation formulas matter

Correlation formulas help you:

• Identify assets that move together

• Detect hidden relationships between markets

• Evaluate diversification across assets

• Compare behavior across prices, volumes, or indicators

• Understand regime shifts and structural changes

They provide insight into how markets behave relative to each other, not just individually.

How correlation formulas work

Correlation formulas take two time-aligned series and compute their correlation over the selected timeframe.

The general formula structure is:

correlation(series_A, series_B)

Each series can be:

• A basic operation (price, volume)

• An indicator (RSI, moving average, volatility)

• Any derived series that produces a numeric time series

As long as both inputs exist and share a timeframe, they can be correlated.

Common correlation use cases

Correlation formulas are often used to:

• Compare asset prices

• Compare trading volumes

• Analyze indicator alignment

• Study cross-market influence

• Test assumptions about market relationships

They are particularly powerful when combined with different asset classes.

Sample correlation formulas

Below are common correlation prompts, paired with the formulas they generate.

Price correlation

"How correlated are Bitcoin and Ethereum prices?"

correlation(BTCUSD.close, ETHUSD.close)

This measures how closely Bitcoin and Ethereum prices move together over time.

Timeframe-specific correlation

"Show me the correlation between BTC and DOGE weekly"

correlation(BTCUSD.close, DOGEUSD.close)

When viewed on a weekly or monthly timeframe, this reveals longer-term structural relationships rather than short-term noise.

Volume correlation

"Are BTC and ETH volumes moving together?"

correlation(BTCUSD.volume, ETHUSD.volume)

This shows whether trading activity in Bitcoin and Ethereum tends to increase and decrease at the same time.

Indicator correlation

"Check if Bitcoin RSI correlates with Dogecoin RSI"

correlation(BTCUSD.rsi, DOGEUSD.rsi)

This measures whether momentum signals across the two assets behave similarly.

Cross-market correlation

"Does the Euro-Dollar pair correlate with Bitcoin?"

correlation(EURUSD.close, BTCUSD.close)

This evaluates whether movements in a major forex pair align with Bitcoin price behavior.

Interpreting correlation results

When reading correlation values:

• Values near +1 suggest strong alignment

• Values near 0 suggest independence

• Values near -1 suggest inverse behavior

Correlation does not imply causation. Two assets can move together without one causing the other to move.

Best practices

When using correlation formulas:

• Choose timeframes intentionally

• Avoid drawing conclusions from very short periods

• Compare correlations across multiple regimes

• Combine with price and volume analysis

• Re-evaluate correlations over time

Correlations are dynamic and can change as market structure evolves.

Summary

Correlation formulas let you quantify relationships between assets, indicators, and markets. Instead of relying on intuition, you can measure how tightly two series move together and how that relationship changes over time.

They are a powerful tool for understanding market structure, diversification, and cross-asset behavior, and they fit naturally alongside basic operations and arithmetic formulas.