Genfit Stock Overlap Studies Double Exponential Moving Average

GNFT Stock  USD 4.09  0.67  14.08%   
Genfit overlap studies tool provides the execution environment for running the Double Exponential Moving Average study and other technical functions against Genfit. Genfit 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 overlap studies indicators. As with most other technical indicators, the Double Exponential Moving Average study function is designed to identify and follow existing trends. Genfit overlay technical analysis usually involve calculating upper and lower limits of price movements based on various statistical techniques. Please specify Time Period to run this model.

The output start index for this execution was fourty-six with a total number of output elements of fifteen. The Double Exponential Moving Average indicator was developed by Patrick Mulloy. It consists of a single exponential moving average and a double exponential moving average. This indicator is more responsive to Genfit changes than the simple moving average.

Genfit Technical Analysis Modules

Most technical analysis of Genfit 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 Genfit from various momentum indicators to cycle indicators. When you analyze Genfit 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 Genfit 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 Genfit. We use our internally-developed statistical techniques to arrive at the intrinsic value of Genfit based on widely used predictive technical indicators. In general, we focus on analyzing Genfit Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Genfit's daily price indicators and compare them against related drivers, such as overlap studies 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 Genfit's intrinsic value. In addition to deriving basic predictive indicators for Genfit, we also check how macroeconomic factors affect Genfit 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 Turnover0.0039280.01670.03260.031
Days Of Inventory On Hand9.075.894.284.07
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Genfit'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
0.204.088.89
Details
Intrinsic
Valuation
LowRealHigh
0.183.678.49
Details
Naive
Forecast
LowNextHigh
0.073.378.18
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
3.184.545.89
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Genfit. Your research has to be compared to or analyzed against Genfit's peers to derive any actionable benefits. When done correctly, Genfit's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Genfit.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Genfit in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Genfit's short interest history, or implied volatility extrapolated from Genfit options trading.

Trending Themes

If you are a self-driven investor, you will appreciate our idea-generating investing themes. Our themes help you align your investments inspirations with your core values and are essential building blocks of your portfolios. A typical investing theme is an unweighted collection of up to 20 funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of equities with common characteristics such as industry and growth potential, volatility, or market segment.
Dividend Beast Idea
Dividend Beast
Invested over 60 shares
Cash Cows Idea
Cash Cows
Invested few shares
Momentum Idea
Momentum
Invested few shares
Automobiles and Trucks Idea
Automobiles and Trucks
Invested over 200 shares
Driverless Cars Idea
Driverless Cars
Invested few shares

Additional Tools for Genfit Stock Analysis

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