Xos Inc Stock Statistic Functions Linear Regression Slope

XOS Stock  USD 3.12  0.08  2.63%   
Xos statistic functions tool provides the execution environment for running the Linear Regression Slope function and other technical functions against Xos. Xos value trend is the prevailing direction of the price over some defined period of time. The concept of trend is an important idea in technical analysis, including the analysis of statistic functions indicators. As with most other technical indicators, the Linear Regression Slope function function is designed to identify and follow existing trends. Xos statistical functions help analysts to determine different price movement patterns based on how price series statistical indicators change over time. Please specify Time Period to run this model.

Execute Function
The output start index for this execution was thirteen with a total number of output elements of fourty-eight. The Linear Regression Slope is the rate of change in Xos Inc price series over its benchmark or peer price series.

Xos Technical Analysis Modules

Most technical analysis of Xos help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Xos from various momentum indicators to cycle indicators. When you analyze Xos 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.

About Xos Predictive Technical Analysis

Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Xos Inc. We use our internally-developed statistical techniques to arrive at the intrinsic value of Xos Inc based on widely used predictive technical indicators. In general, we focus on analyzing Xos Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Xos's daily price indicators and compare them against related drivers, such as statistic functions and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of Xos's intrinsic value. In addition to deriving basic predictive indicators for Xos, we also check how macroeconomic factors affect Xos price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
 2021 2022 2023 2024 (projected)
Payables Turnover0.7322.9316.6217.45
Days Of Inventory On Hand1.5K316.27301.5286.43
Hype
Prediction
LowEstimatedHigh
0.163.247.28
Details
Intrinsic
Valuation
LowRealHigh
0.122.396.43
Details
Naive
Forecast
LowNextHigh
0.062.926.95
Details
4 Analysts
Consensus
LowTargetHigh
1.561.711.90
Details

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Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.

Additional Tools for Xos Stock Analysis

When running Xos' price analysis, check to measure Xos' 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 Xos is operating at the current time. Most of Xos' value examination focuses on studying past and present price action to predict the probability of Xos' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Xos' price. Additionally, you may evaluate how the addition of Xos to your portfolios can decrease your overall portfolio volatility.