Correlation Analysis

Desktop SDK - Indicators
1

Hi, I wanted to ask if you guys perform any type of correlation analysis within your systems or strategies. I’m interested in understanding whether your models analyze relationships between different markets, sectors, indices, volatility products, or correlated assets to help identify momentum shifts, divergence, rotational behavior, or directional confirmation. specially for NQ moves ,

TradingCorrelationPanel-ezgif.com-video-to-gif-converter

This project is shared freely with the community for educational and collaborative purposes. No compensation or obligation is expected in return. The purpose is to contribute ideas, encourage collaboration, and support ongoing learning and development within the trading community.

WT Correlation Panel Guide

Overview

GitHub - Wizard1211/Trading-Correlation-Panel-: NinjaTrader 8 trading correlation dashboard add-on · GitHub

The WT Correlation Panel is a live multi-market correlation and market alignment dashboard for NinjaTrader.

It monitors: or any 4 other tickers you choose in settings

· RTY

· NQ

· ES

· YM

The panel provides:

· Live price tracking

· Candle alignment

· Historical correlation analysis

· Trend strength analysis

· Volume strength analysis

· Real-time market sentiment visualization

The system automatically adapts to the active chart timeframe.

Live Ticker Boxes

Displays:

· Current live price

· Candle price change

· Percentage change

· Candle range size

Green = bullish candle

Red = bearish candle

The ticker boxes follow the active chart timeframe.

Correlation Matrix

Measures how strongly markets move together.

+1.00 = perfect positive correlation

0.00 = no correlation

-1.00 = inverse correlation

Green = strong positive correlation

Yellow = moderate correlation

Gray = weak correlation

Red = negative correlation

Correlation Graph

Visualizes rolling historical correlation movement between the markets over time.

Each colored line represents one ticker’s average correlation against the others.

Market Gauge

Measures overall market trend alignment.

Gauge Right = bullish trend

Gauge Center = neutral

Gauge Left = bearish trend

The gauge evaluates all four tickers together.

All Tickers Alignment

Displays current candle direction for all four markets.

Green Dot = bullish candle

Red Dot = bearish candle

ALL GREEN = all bullish

ALL RED = all bearish

MIXED = mixed market direction

Current Bar Volume Strength

Measures current candle volume against recent average volume.

Green = strong volume

Yellow = moderate volume

Red = weak volume

Average Volume Strength

Calculates overall participation strength across all four futures markets.

Dynamic Timeframe Adaptation

The entire panel dynamically adjusts to the active chart timeframe.

Current candle sections:

· ticker direction

· market gauge

· all tickers alignment

· volume strength

Historical sections:

· correlation matrix

· correlation graph

Real-Time Updating

The panel updates automatically every 250 milliseconds using DispatcherTimer.

Collapse System

Collapsed mode:

· shrinks into WT tab

· saves chart space

Expanded mode:

· restores full panel

Main Purpose

Designed to help traders identify:

· market agreement

· market divergence

· institutional alignment

· trend continuation

· momentum confirmation

· weak market structure

Intended Usage

Best used for:

· momentum confirmation

· trend validation

1 Like
2

Correlation metrics based on raw candle price updates or rolling window returns usually lag the real momentum shifts on NQ. By the time your matrix updates the linear shift, the institutional block order that triggered the divergence is already executed and filled, to find leading indicators for NQ moves, you need to track cointegration vectors and order flow imbalances between the micro-E-mini contracts and the primary index ETFs in the same microsecond pool

Regarding the panel layout, using a DispatcherTimer ticking at 250ms to recalculate historical correlation data streams across 4 tickers simultaneously will trigger severe UI overhead on NT8 during high-volatility sweeps. If you want to scale the utility of this dashboard without choking local chart memory, you should offload the correlation matrix math to a separate background thread worker and only use the main thread to push the final visual update to the GUI layer, good layout concept, though

1 Like
3

Thank you for your feedback ,

4

Looks cool. Are you planning on releasing source code? Installing dll files is not secure on NT.

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5

Yes I am Planning on releasing the source code, forgot to add it,

6

Absolutely. Correlation and intermarket behavior are a major part of how I personally approach futures participation — especially with NQ.

One of the biggest mistakes newer traders make is analyzing the NQ in isolation without understanding what broader participation and rotational behavior are occurring underneath the surface.

For example:

  • Is ES confirming the move or lagging?

  • Is RTY showing risk-on participation or weakness?

  • Is VIX compressing or expanding during the push?

  • Are semiconductors (NVDA/SMH) leading or diverging?

  • Is liquidity rotating aggressively into tech, or are we seeing exhaustion behavior?

Those relationships often tell you how trustworthy the move actually is.

In my own framework (Zamora Bias / Context Before Execution approach), I focus less on “prediction” and more on:

  • participation alignment,

  • expansion vs rotation,

  • momentum quality,

  • structural acceptance/rejection,

  • and whether correlated markets are supporting continuation or signaling instability.

A strong NQ breakout with weak participation elsewhere can sometimes become a trap rather than true expansion.

I also think traders sometimes overcomplicate correlation analysis by trying to mathematically model every relationship. In practice, a lot of value comes from simply understanding:

  • who is participating,

  • where liquidity is rotating,

  • and whether the market environment is synchronized or fragmented.

That’s one reason I built the Zamora Bias framework for NinjaTrader — to help contextualize participation states and structural behavior rather than just generating buy/sell signals.

Curious how others here incorporate intermarket context into their NQ process.

1 Like
7

Is the source code on github? I don’t see a .cs file anywhere.

8

Thank you so much for your feedback, this truly helps