Tillys Inc Stock Math Transform Square Root Of Price Series

TLYS Stock  USD 3.91  0.13  3.44%   
Tillys math transform tool provides the execution environment for running the Square Root Of Price Series transformation and other technical functions against Tillys. Tillys 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 math transform indicators. As with most other technical indicators, the Square Root Of Price Series transformation function is designed to identify and follow existing trends. Analysts that use price transformation techniques rely on the belief that biggest profits from investing in Tillys can be made when Tillys shifts in price trends from positive to negative or vice versa.

Transformation
The output start index for this execution was zero with a total number of output elements of sixty-one. Tillys Inc Square Root Of Price Series is a mathematical transformation function.

Tillys Technical Analysis Modules

Most technical analysis of Tillys 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 Tillys from various momentum indicators to cycle indicators. When you analyze Tillys 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 Tillys 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 Tillys Inc. We use our internally-developed statistical techniques to arrive at the intrinsic value of Tillys Inc based on widely used predictive technical indicators. In general, we focus on analyzing Tillys Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Tillys's daily price indicators and compare them against related drivers, such as math transform 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 Tillys's intrinsic value. In addition to deriving basic predictive indicators for Tillys, we also check how macroeconomic factors affect Tillys price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
 2020 2024 (projected)
Dividend Yield0.160.08
Price To Sales Ratio0.360.74
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Tillys' 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
0.193.787.65
Details
Intrinsic
Valuation
LowRealHigh
0.183.517.38
Details
Naive
Forecast
LowNextHigh
0.073.367.23
Details
2 Analysts
Consensus
LowTargetHigh
9.1010.0011.10
Details

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Additional Tools for Tillys Stock Analysis

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