Shihlin Electric (Taiwan) Momentum Indicators Rate of change ratio

1503 Stock  TWD 196.50  2.00  1.01%   
Shihlin Electric momentum indicators tool provides the execution environment for running the Rate of change ratio indicator and other technical functions against Shihlin Electric. Shihlin Electric 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 indicator function is designed to identify and follow existing trends. Momentum indicators of Shihlin Electric are pattern recognition functions that provide distinct formation on Shihlin Electric 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.

The output start index for this execution was fourty-two with a total number of output elements of nineteen. The Rate of change ratio: (price/prevPrice) indicator measures the change in Shihlin Electric Eng price from one period to the next.

Shihlin Electric Technical Analysis Modules

Most technical analysis of Shihlin Electric 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 Shihlin from various momentum indicators to cycle indicators. When you analyze Shihlin 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 Shihlin Electric 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 Shihlin Electric Engineering. We use our internally-developed statistical techniques to arrive at the intrinsic value of Shihlin Electric Engineering based on widely used predictive technical indicators. In general, we focus on analyzing Shihlin Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Shihlin Electric'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 Shihlin Electric's intrinsic value. In addition to deriving basic predictive indicators for Shihlin Electric, we also check how macroeconomic factors affect Shihlin Electric price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
194.48196.50198.52
Details
Intrinsic
Valuation
LowRealHigh
145.35147.38216.15
Details
Naive
Forecast
LowNextHigh
199.21201.24203.26
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
192.86203.66214.46
Details

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Additional Tools for Shihlin Stock Analysis

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