Skillz Platform Stock Volatility Indicators Average True Range

SKLZ Stock  USD 5.29  0.25  4.96%   
Skillz Platform volatility indicators tool provides the execution environment for running the Average True Range indicator and other technical functions against Skillz Platform. Skillz Platform 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 volatility indicators indicators. As with most other technical indicators, the Average True Range indicator function is designed to identify and follow existing trends. Skillz Platform volatility indicators enable investors to predict price movements based on how different True Range indicators change over time. Please specify Time Period to run this model.

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The output start index for this execution was twenty with a total number of output elements of fourty-one. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Skillz Platform volatility. High ATR values indicate high volatility, and low values indicate low volatility.

Skillz Platform Technical Analysis Modules

Most technical analysis of Skillz Platform 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 Skillz from various momentum indicators to cycle indicators. When you analyze Skillz 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 Skillz Platform 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 Skillz Platform. We use our internally-developed statistical techniques to arrive at the intrinsic value of Skillz Platform based on widely used predictive technical indicators. In general, we focus on analyzing Skillz Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Skillz Platform's daily price indicators and compare them against related drivers, such as volatility indicators 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 Skillz Platform's intrinsic value. In addition to deriving basic predictive indicators for Skillz Platform, we also check how macroeconomic factors affect Skillz Platform price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
 2022 2023 2024 (projected)
Days Sales Outstanding9.7114.269.63
PTB Ratio0.750.620.59
Hype
Prediction
LowEstimatedHigh
2.415.258.09
Details
Intrinsic
Valuation
LowRealHigh
4.026.869.70
Details
Naive
Forecast
LowNextHigh
2.175.007.84
Details
4 Analysts
Consensus
LowTargetHigh
10.4711.5012.77
Details

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Additional Tools for Skillz Stock Analysis

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