Xometry Stock Forward View - Simple Regression

XMTR Stock  USD 61.11  3.76  5.80%   
Xometry Stock outlook is based on your current time horizon. Although Xometry's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Xometry's systematic risk associated with finding meaningful patterns of Xometry fundamentals over time.
As of today, The relative strength index (RSI) of Xometry's share price is at 51. This entails that the stock is in nutural position, most likellhy at or near its resistance level. The main idea of RSI analysis is to track how fast people are buying or selling Xometry, making its price go up or down.

Momentum 51

 Impartial

 
Oversold
 
Overbought
The successful prediction of Xometry's future price could yield a significant profit. Please, note that this module is not intended to be used solely to calculate an intrinsic value of Xometry and does not consider all of the tangible or intangible factors available from Xometry's fundamental data. We analyze noise-free headlines and recent hype associated with Xometry, which may create opportunities for some arbitrage if properly timed. Below are the key fundamental drivers impacting Xometry's stock price prediction:
EPS Estimate Next Quarter
0.1272
EPS Estimate Current Year
0.3327
EPS Estimate Next Year
0.758
Wall Street Target Price
65.4444
EPS Estimate Current Quarter
0.1023
Using Xometry hype-based prediction, you can estimate the value of Xometry from the perspective of Xometry response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards Xometry using Xometry's stock options and short interest. It helps to benchmark the overall future attitude of investors towards Xometry using crowd psychology based on the activity and movement of Xometry's stock price.

Xometry Short Interest

An investor who is long Xometry may also wish to track short interest. As short interest increases, investors should be becoming more worried about Xometry and may potentially protect profits, hedge Xometry with its derivative instruments, or be ready for some potential downside.
200 Day MA
45.8838
Short Percent
0.1366
Short Ratio
7.67
Shares Short Prior Month
5.4 M
50 Day MA
61.063

Xometry Relative Strength Index

The Simple Regression forecasted value of Xometry on the next trading day is expected to be 64.12 with a mean absolute deviation of 2.69 and the sum of the absolute errors of 166.61.

Xometry Hype to Price Pattern

Investor biases related to Xometry's public news can be used to forecast risks associated with an investment in Xometry. The trend in average sentiment can be used to explain how an investor holding Xometry can time the market purely based on public headlines and social activities around Xometry. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Some investors profit by finding stocks that are overvalued or undervalued based on market sentiment. The correlation of Xometry's market sentiment to its price can help taders to make decisions based on the overall investors consensus about Xometry.

Xometry Implied Volatility

    
  0.84  
Xometry's implied volatility exposes the market's sentiment of Xometry stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Xometry's implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that Xometry stock will not fluctuate a lot when Xometry's options are near their expiration.
The Simple Regression forecasted value of Xometry on the next trading day is expected to be 64.12 with a mean absolute deviation of 2.69 and the sum of the absolute errors of 166.61.

Xometry after-hype prediction price

    
  USD 0.0  
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Check out Historical Fundamental Analysis of Xometry to cross-verify your projections.
To learn how to invest in Xometry Stock, please use our How to Invest in Xometry guide.

Prediction based on Rule 16 of the current Xometry contract

Based on the Rule 16, the options market is currently suggesting that Xometry will have an average daily up or down price movement of about 0.0525% per day over the life of the 2026-04-17 option contract. With Xometry trading at USD 61.11, that is roughly USD 0.0321 . If you think that the market is fully incorporating Xometry's daily price movement you should consider acquiring Xometry options at the current volatility level of 0.84%. But if you have an opposite viewpoint you should avoid it and even consider selling them.

Open Interest Against 2026-04-17 Xometry Option Contracts

Although open interest is a measure utilized in the options markets, it could be used to forecast Xometry's spot prices because the number of available contracts in the market changes daily, and new contracts can be created or liquidated at will. Since open interest in Xometry's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Xometry stock based on available contracts left at the end of a trading day.
Please note that to derive more accurate forecasting about market movement from the current Xometry's open interest, investors have to compare it to Xometry's spot prices. As Ford's stock price increases, high open interest indicates that money is entering the market, and the market is strongly bullish. Conversely, if the price of Xometry is decreasing and there is high open interest, that is a sign that the bearish trend will continue, and investors may react by taking short positions in Xometry. So, decreasing or low open interest during a bull market indicates that investors are becoming uncertain of the depth of the bullish trend, and a reversal in sentiment will likely follow.

Xometry Additional Predictive Modules

Most predictive techniques to examine Xometry price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Xometry using various technical indicators. When you analyze Xometry charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
Simple Regression model is a single variable regression model that attempts to put a straight line through Xometry price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

Xometry Simple Regression Price Forecast For the 31st of January

Given 90 days horizon, the Simple Regression forecasted value of Xometry on the next trading day is expected to be 64.12 with a mean absolute deviation of 2.69, mean absolute percentage error of 12.13, and the sum of the absolute errors of 166.61.
Please note that although there have been many attempts to predict Xometry Stock prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Xometry's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Xometry Stock Forecast Pattern

Backtest Xometry  Xometry Price Prediction  Buy or Sell Advice  

Xometry Forecasted Value

In the context of forecasting Xometry's Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Xometry's downside and upside margins for the forecasting period are 58.88 and 69.35, respectively. We have considered Xometry's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Market Value
61.11
64.12
Expected Value
69.35
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of Xometry stock data series using in forecasting. Note that when a statistical model is used to represent Xometry stock, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.
AICAkaike Information Criteria122.4438
BiasArithmetic mean of the errors None
MADMean absolute deviation2.6872
MAPEMean absolute percentage error0.0449
SAESum of the absolute errors166.6056
In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as Xometry historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Predictive Modules for Xometry

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Xometry. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Xometry's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
0.000.005.19
Details
Intrinsic
Valuation
LowRealHigh
0.000.005.19
Details
Bollinger
Band Projection (param)
LowMiddleHigh
59.0363.5067.96
Details
10 Analysts
Consensus
LowTargetHigh
59.5565.4472.64
Details

Xometry After-Hype Price Density Analysis

As far as predicting the price of Xometry at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Xometry or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Stock prices, such as prices of Xometry, with the unreliable approximations that try to describe financial returns.
   Next price density   
       Expected price to next headline  

Xometry Estimiated After-Hype Price Volatility

In the context of predicting Xometry's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Xometry's historical news coverage. Xometry's after-hype downside and upside margins for the prediction period are 0.00 and 5.19, respectively. We have considered Xometry's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
61.11
0.00
After-hype Price
5.19
Upside
Xometry is out of control at this time. Analysis and calculation of next after-hype price of Xometry is based on 3 months time horizon.

Xometry Stock Price Outlook Analysis

Have you ever been surprised when a price of a Company such as Xometry is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Xometry backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Stock price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Xometry, there might be something going there, and it might present an excellent short sale opportunity.
Expected ReturnPeriod VolatilityHype ElasticityRelated ElasticityNews DensityRelated DensityExpected Hype
  0.51 
5.23
  1.36 
  0.60 
14 Events / Month
8 Events / Month
In about 14 days
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility
61.11
0.00
0.00 
196.62  
Notes

Xometry Hype Timeline

Xometry is at this time traded for 61.11. The entity has historical hype elasticity of 1.36, and average elasticity to hype of competition of 0.6. Xometry is anticipated not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is about 196.62%. The immediate return on the next news is anticipated to be very small, whereas the daily expected return is at this time at 0.51%. %. The volatility of related hype on Xometry is about 443.97%, with the expected price after the next announcement by competition of 61.71. About 88.0% of the company outstanding shares are owned by institutional investors. The company recorded a loss per share of 1.25. Xometry had not issued any dividends in recent years. Given the investment horizon of 90 days the next anticipated press release will be in about 14 days.
Check out Historical Fundamental Analysis of Xometry to cross-verify your projections.
To learn how to invest in Xometry Stock, please use our How to Invest in Xometry guide.

Xometry Related Hype Analysis

Having access to credible news sources related to Xometry's direct competition is more important than ever and may enhance your ability to predict Xometry's future price movements. Getting to know how Xometry's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Xometry may potentially react to the hype associated with one of its peers.
Hype
Elasticity
News
Density
Semi
Deviation
Information
Ratio
Potential
Upside
Value
At Risk
Maximum
Drawdown
HIHillenbrand 2.66 8 per month 0.00 (0.18) 0.25 (0.19) 0.89 
EPACEnerpac Tool Group 0.15 28 per month 0.00 (0.06) 3.65 (2.83) 12.80 
ATSATS Corporation 2.66 4 per month 2.44  0.03  4.05 (4.32) 19.30 
PCTPurecycle Technologies Holdings 0.84 10 per month 0.00 (0.06) 9.68 (7.47) 24.11 
NNENano Nuclear Energy 2.14 7 per month 0.00 (0.07) 8.36 (8.88) 20.58 
PSIXPower Solutions International 2.66 11 per month 0.00 (0.02) 7.68 (6.33) 27.55 
ENVXEnovix Corp 0.15 14 per month 0.00 (0.14) 7.93 (8.56) 25.68 
SXIStandex International 0.48 9 per month 2.04 (0.02) 3.21 (2.82) 12.69 
AMSCAmerican Superconductor 0.15 11 per month 0.00 (0.14) 5.56 (6.95) 47.39 
TICAcuren(0.11)9 per month 0.00 (0.09) 5.24 (4.86) 13.24 

Other Forecasting Options for Xometry

For every potential investor in Xometry, whether a beginner or expert, Xometry's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Xometry Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Xometry. Basic forecasting techniques help filter out the noise by identifying Xometry's price trends.

Xometry Related Equities

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Xometry stock to make a market-neutral strategy. Peer analysis of Xometry could also be used in its relative valuation, which is a method of valuing Xometry by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Xometry Market Strength Events

Market strength indicators help investors to evaluate how Xometry stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Xometry shares will generate the highest return on investment. By undertsting and applying Xometry stock market strength indicators, traders can identify Xometry entry and exit signals to maximize returns.

Xometry Risk Indicators

The analysis of Xometry's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Xometry's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting xometry stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

Story Coverage note for Xometry

The number of cover stories for Xometry depends on current market conditions and Xometry's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Xometry is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Xometry's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.

Xometry Short Properties

Xometry's future price predictability will typically decrease when Xometry's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Xometry often depends not only on the future outlook of the potential Xometry's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Xometry's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding49.1 M
Cash And Short Term Investments239.8 M

Additional Tools for Xometry Stock Analysis

When running Xometry's price analysis, check to measure Xometry's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Xometry is operating at the current time. Most of Xometry's value examination focuses on studying past and present price action to predict the probability of Xometry's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Xometry's price. Additionally, you may evaluate how the addition of Xometry to your portfolios can decrease your overall portfolio volatility.