Historical Correlation

Mar 14, 2024

Static chart image
Oscillators
Money Management
Works on the following platforms:
tradingviewSymbolTradingView
For free use on the TradingView platform
ninjatraderNinjaTrader
For free use on the NinjaTrader platform
metatrader4MetaTrader 4
For free use on the MetaTrader 4 platform
metatrader5MetaTrader 5
For free use on the MetaTrader 5 platform
thinkorswimThinkorswim
For free use on the Thinkorswim platform

The Historical Correlation tool is a pivotal resource for traders, providing the historical correlation coefficients of up to 10 user-defined tickers from a specified starting point in time. With versatile display options, users can view historical correlation trends through line graphs or examine the most recent correlation values using a visual heat map.

How to Use the Historical Correlation Tool?

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The tool calculates the correlation coefficients, essential metrics that underscore the linear relationship between two assets. These coefficients range from -1 to 1, offering critical insights into asset behavior:

  • Positive correlation (Values near +1.0): Indicates synchronous movement—both assets rise and fall together.
  • Negative correlation (Values near -1.0): Denotes inverse movement, where one asset's rise corresponds with the other's fall.
  • No correlation (Values close to 0): Suggests independent asset movement.

To initiate the tool, users must confirm an anchor point selection, directly on the chart by clicking any bar or through the settings panel date field. For the Anchor period parameter, options include NONE, HOURLY, DAILY, WEEKLY, MONTHLY, QUARTERLY, and YEARLY. Selecting NONE bypasses calculation resets; otherwise, calculations restart at each new period's first bar.

Trading Strategies Using Correlation Coefficients

The correlation coefficient supports numerous trading strategies:

  • Pair Trading: Leverage price divergences among highly positively correlated assets to identify buy and sell opportunities, anticipating a reversion to coordinated price movements.
  • Sector Rotation: By tracking inter-sector and market-wide correlations, traders may prioritize sectors poised for strong performance in upcoming cycles.
  • Diversification: Understanding intra-portfolio correlations helps manage risk. Holding positively correlated assets can intensify risk exposure, whereas uncorrelated assets help mitigate risk.
  • Hedging: Use correlated assets to hedge positions—long a negatively correlated asset or short a positively correlated one to offset risk.

Traders can harness historical correlations to better comprehend asset interrelationships, ultimately leading to more informed trading decisions.

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The example above illustrates historical correlations across various futures markets. It highlights how Nasdaq100, Dow30, and SP500 remain tightly correlated, while the Euro's correlation with SP500 has notably shifted, reflecting the market's dynamic nature influenced by diverse factors.

Heatmap Display

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With heatmap settings enabled, current asset correlations are prominently displayed. Notably:

  • EURUSD and GBPUSD show the strongest positive correlation at +90%.
  • EURUSD and USDJPY exhibit the lowest negative correlation at -78%.
  • AUDUSD and EURCAD have negligible correlation at 1%.

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For futures markets, SP500 exhibits low correlation with NaturalGas and the Euro, high positive correlation with Nasdaq100 and Dow20, and strong negative correlation with the Yen, Treasury Bonds, and 10-Year Notes.

In-Depth Settings Overview

Anchor Period Details

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This chart with a MONTHLY Anchor Period setting elucidates monthly correlation recalibrations, revealing notable changes such as:

  • January saw GBPUSD and USDJPY fluctuate from near perfect negative to zero correlation.
  • February's initial -90% GBPUSD and USDJPY correlation decreased to -57%.
  • AUDUSD and EURCAD transitioned from a largely negative correlation in the preceding month to a current +53%.

Customizing Your Settings

  • Anchor Point: Defines the tool's operational starting point.
  • Anchor Period: Resets computations at each new period's outset.
  • Ticker Pairs (1-10): Choose ticker pairs, toggle pair visibility, color-code selections, and specify desired correlations.

Crafting the Visual Output

  • Drawing Mode: Opt for LINES to track historical correlations via line graphs or HEATMAP for a gradient-colored current correlation snapshot.

FAQ

How can I access the Historical Correlation tool? You can get access on the LuxAlgo Library for charting platforms like TradingView, MetaTrader (MT4/MT5), and NinjaTrader for free.

What is the importance of the Anchor Period? The Anchor Period allows users to define specific timeframes for recalibrating correlation calculations, ensuring that the data aligns with temporal market conditions.

What trading strategies can benefit from correlation analysis? Strategies like Pair Trading, Sector Rotation, Diversification, and Hedging can all leverage correlation insights to optimize trade decisions and manage risk effectively.

Trading is risky and many will lose money in connection with trading activities. All content on this site is not intended to, and should not be, construed as financial advice. Decisions to buy, sell, hold or trade in securities, commodities and other markets involve risk and are best made based on the advice of qualified financial professionals. Past performance does not guarantee future results.

Hypothetical or Simulated performance results have certain limitations. Unlike an actual performance record, simulated results do not represent actual trading. Also, since the trades have not been executed, the results may have under-or-over compensated for the impact, if any, of certain market factors, including, but not limited to, lack of liquidity. Simulated trading programs in general are designed with the benefit of hindsight, and are based on historical information. No representation is being made that any account will or is likely to achieve profit or losses similar to those shown.

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