Immutable IMX / USD Crypto

Projection Calculations Predicting Future Prices

This page allows you to project the future price of an asset using three different methods. You can choose various settings for each method (tier 1 subscription feature) to customize the projection. If you scroll down, you can see the price projections with the default settings for each method - those are totally free and requires no account!

Settings

Mid-Year Projections Averages

Here are the average Great, OK, and Bad mid-year projections for each asset. These are calculated by getting the CAGR, Exponential Regression, Cooking/Comfortable/Glacial temperature, and the high, low, and median Monte Carlo projection prices for each asset and then averaging them.

You'll find all the charts below.

Asset IMX / USD
Latest Price 1.949
2026 Great Calculating...
2026 OK Calculating...
2026 Bad Calculating...
2027 Great Calculating...
2027 OK Calculating...
2027 Bad Calculating...
2028 Great Calculating...
2028 OK Calculating...
2028 Bad Calculating...
2029 Great Calculating...
2029 OK Calculating...
2029 Bad Calculating...
2030 Great Calculating...
2030 OK Calculating...
2030 Bad Calculating...

CAGR & Exponential Regression Chart Projected Prices

Exponential regression and CAGR (Compound Annual Growth Rate) projections are statistical methods used to model and predict asset price growth over time. While exponential regression captures dynamic, accelerating trends, CAGR provides a smoothed average growth rate. Both techniques offer insights into underlying growth patterns, enabling more accurate forecasts of future price movements.

Temperature Chart Projected Prices

This logarithmic chart features a colored channel that measures the temperature of the price. The red/hot zone indicates high prices, the blue/cold zone indicates low prices historically, as measured by the logarithmic trend of the asset. You can also use it as a tool to project future prices at various "temperatures".

Monte Carlo Simulation Charts & Stats Predicting Future Prices

Our Monte Carlo simulation leverages historical asset price data to forecast potential future price trajectories over a specified time horizon. By analyzing past performance and incorporating statistical measures of return and volatility, the simulation generates a multitude of possible future scenarios. Each simulated path represents a unique potential outcome, allowing investors to visualize the range of possible prices an asset might reach in the coming years. The median projection provides a central estimate, while the confidence bounds (e.g., 95%) illustrate the statistical uncertainty surrounding these predictions.

Learn More

This page just focused on projecting prices for the selected assets, you might also want to check out the overview, historical, volatility, and correlation charts and stats.