Applied Therapeutics Stock Pattern Recognition Long Line Candle

APLT Stock  USD 10.21  0.62  6.47%   
Applied Therapeutics pattern recognition tool provides the execution environment for running the Long Line Candle recognition and other technical functions against Applied Therapeutics. Applied Therapeutics 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 pattern recognition indicators. As with most other technical indicators, the Long Line Candle recognition function is designed to identify and follow existing trends. Applied Therapeutics momentum indicators are usually used to generate trading rules based on assumptions that Applied Therapeutics trends in prices tend to continue for long periods.

Recognition
The output start index for this execution was ten with a total number of output elements of fifty-one. The function generated a total of thirteen valid pattern recognition events for the selected time horizon. The Long Line Candle pattern shows indecision reversal trend for Applied Therapeutics.

Applied Therapeutics Technical Analysis Modules

Most technical analysis of Applied Therapeutics 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 Applied from various momentum indicators to cycle indicators. When you analyze Applied 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 Applied Therapeutics 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 Applied Therapeutics. We use our internally-developed statistical techniques to arrive at the intrinsic value of Applied Therapeutics based on widely used predictive technical indicators. In general, we focus on analyzing Applied Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Applied Therapeutics's daily price indicators and compare them against related drivers, such as pattern recognition 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 Applied Therapeutics's intrinsic value. In addition to deriving basic predictive indicators for Applied Therapeutics, we also check how macroeconomic factors affect Applied Therapeutics price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
 2023 2024 (projected)
Graham Number2.552.42
Receivables Turnover31.5628.05
Hype
Prediction
LowEstimatedHigh
0.8910.2119.53
Details
Intrinsic
Valuation
LowRealHigh
0.377.4216.74
Details
Naive
Forecast
LowNextHigh
0.269.5818.89
Details
6 Analysts
Consensus
LowTargetHigh
6.987.678.51
Details

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Additional Tools for Applied Stock Analysis

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