Neo Battery Materials Stock Momentum Indicators Rate of change ratio 100 scale

NBM Stock  CAD 0.88  0.03  3.53%   
Neo Battery momentum indicators tool provides the execution environment for running the Rate of change ratio 100 scale indicator and other technical functions against Neo Battery. Neo Battery 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 momentum indicators indicators. As with most other technical indicators, the Rate of change ratio 100 scale indicator function is designed to identify and follow existing trends. Momentum indicators of Neo Battery are pattern recognition functions that provide distinct formation on Neo Battery potential trading signals or future price movement. Analysts can use these trading signals to identify current and future trends and trend reversals to provide buy and sell recommendations. Please specify Time Period to run this model.

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 Rate of change ratio 100 scale: (price/prevPrice)*100 indicator measures the change in Neo Battery price from one period to the next using 100% scale.

Neo Battery Technical Analysis Modules

Most technical analysis of Neo Battery 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 Neo from various momentum indicators to cycle indicators. When you analyze Neo 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 Neo Battery 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 Neo Battery Materials. We use our internally-developed statistical techniques to arrive at the intrinsic value of Neo Battery Materials based on widely used predictive technical indicators. In general, we focus on analyzing Neo Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Neo Battery's daily price indicators and compare them against related drivers, such as momentum indicators 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 Neo Battery's intrinsic value. In addition to deriving basic predictive indicators for Neo Battery, we also check how macroeconomic factors affect Neo Battery price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
 2023 2024 (projected)
Payables Turnover0.610.73
Days Of Inventory On Hand6.5K6.9K
Hype
Prediction
LowEstimatedHigh
0.050.9713.15
Details
Intrinsic
Valuation
LowRealHigh
0.030.6012.78
Details

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Additional Tools for Neo Stock Analysis

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