Aeye Inc Stock Math Transform Tanh Of Price Series

LIDR Stock  USD 1.00  0.07  6.54%   
Aeye math transform tool provides the execution environment for running the Tanh Of Price Series transformation and other technical functions against Aeye. Aeye 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 Tanh 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 Aeye can be made when Aeye 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. Aeye Inc Tanh Of Price Series is a hyperbolic price transformation function.

Aeye Technical Analysis Modules

Most technical analysis of Aeye 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 Aeye from various momentum indicators to cycle indicators. When you analyze Aeye 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 Aeye 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 Aeye Inc. We use our internally-developed statistical techniques to arrive at the intrinsic value of Aeye Inc based on widely used predictive technical indicators. In general, we focus on analyzing Aeye Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Aeye'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 Aeye's intrinsic value. In addition to deriving basic predictive indicators for Aeye, we also check how macroeconomic factors affect Aeye 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 Turnover1.432.714.454.67
Days Of Inventory On Hand409.96190.3215.7714.98
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Aeye'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
0.051.015.61
Details
Intrinsic
Valuation
LowRealHigh
0.050.955.55
Details
Naive
Forecast
LowNextHigh
0.021.055.65
Details
Earnings
Estimates (0)
LowProjected EPSHigh
-0.89-0.89-0.89
Details

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Additional Tools for Aeye Stock Analysis

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