9f Inc Stock Math Transform Inverse Tangent Over Price Movement

JFU Stock  USD 1.51  0.01  0.67%   
9F math transform tool provides the execution environment for running the Inverse Tangent Over Price Movement transformation and other technical functions against 9F. 9F 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 Inverse Tangent Over Price Movement 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 9F can be made when 9F 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. 9F Inc Inverse Tangent Over Price Movement function is an inverse trigonometric method to describe 9F price patterns.

9F Technical Analysis Modules

Most technical analysis of 9F 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 9F from various momentum indicators to cycle indicators. When you analyze 9F 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 9F 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 9F Inc. We use our internally-developed statistical techniques to arrive at the intrinsic value of 9F Inc based on widely used predictive technical indicators. In general, we focus on analyzing 9F Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build 9F'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 9F's intrinsic value. In addition to deriving basic predictive indicators for 9F, we also check how macroeconomic factors affect 9F 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 Outstanding40.18230.4633.6645.13
PTB Ratio0.360.0770.08150.0774
Hype
Prediction
LowEstimatedHigh
0.081.538.62
Details
Intrinsic
Valuation
LowRealHigh
0.173.3810.47
Details
1 Analysts
Consensus
LowTargetHigh
8.269.0710.07
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as 9F. Your research has to be compared to or analyzed against 9F's peers to derive any actionable benefits. When done correctly, 9F'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 9F Inc.

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Additional Tools for 9F Stock Analysis

When running 9F's price analysis, check to measure 9F'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 9F is operating at the current time. Most of 9F's value examination focuses on studying past and present price action to predict the probability of 9F's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move 9F's price. Additionally, you may evaluate how the addition of 9F to your portfolios can decrease your overall portfolio volatility.