Cellectis Sa Stock Statistic Functions Linear Regression
CLLS Stock | USD 2.13 0.01 0.47% |
Symbol |
Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. The Linear Regression model generates relationship between price series of Cellectis SA and its peer or benchmark and helps predict Cellectis future price from its past values.
Cellectis Technical Analysis Modules
Most technical analysis of Cellectis 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 Cellectis from various momentum indicators to cycle indicators. When you analyze Cellectis 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.Cycle Indicators | ||
Math Operators | ||
Math Transform | ||
Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
About Cellectis 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 Cellectis SA. We use our internally-developed statistical techniques to arrive at the intrinsic value of Cellectis SA based on widely used predictive technical indicators. In general, we focus on analyzing Cellectis Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Cellectis'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 Cellectis's intrinsic value. In addition to deriving basic predictive indicators for Cellectis, we also check how macroeconomic factors affect Cellectis 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) | Days Sales Outstanding | 100.5 | 14.7 | 275.08 | 158.3 | PTB Ratio | 1.71 | 0.82 | 1.89 | 3.61 |
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Additional Tools for Cellectis Stock Analysis
When running Cellectis' price analysis, check to measure Cellectis' 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 Cellectis is operating at the current time. Most of Cellectis' value examination focuses on studying past and present price action to predict the probability of Cellectis' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Cellectis' price. Additionally, you may evaluate how the addition of Cellectis to your portfolios can decrease your overall portfolio volatility.