SI TECH (China) Technical Analysis

300608 Stock   11.16  0.12  1.06%   
As of the 27th of December, SI TECH owns the Downside Deviation of 5.84, risk adjusted performance of 0.0697, and Mean Deviation of 3.82. SI TECH Information Technology technical analysis provides you with a way to harness past data patterns to determine a pattern that measures the direction of the company's future prices.

SI TECH Momentum Analysis

Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as 300608, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to 300608
  
SI TECH's Momentum analyses are specifically helpful, as they help investors time the market using mark points where the market can reverse. The reversal spots are usually identified through divergence between price movement and momentum.
SI TECH technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.
A focus of SI TECH technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of SI TECH trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...

SI TECH Information Technical Analysis

Indicator
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Execute Indicator
The output start index for this execution was one with a total number of output elements of sixty. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of SI TECH Information volatility. High ATR values indicate high volatility, and low values indicate low volatility.

SI TECH Information Trend Analysis

Use this graph to draw trend lines for SI TECH Information Technology. You can use it to identify possible trend reversals for SI TECH as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual SI TECH price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.

SI TECH Best Fit Change Line

The following chart estimates an ordinary least squares regression model for SI TECH Information Technology applied against its price change over selected period. The best fit line has a slop of   0.02  , which may suggest that SI TECH Information Technology market price will keep on failing further. It has 122 observation points and a regression sum of squares at 9.23, which is the sum of squared deviations for the predicted SI TECH price change compared to its average price change.

About SI TECH Technical Analysis

The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of SI TECH Information Technology on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of SI TECH Information Technology based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on SI TECH Information price pattern first instead of the macroeconomic environment surrounding SI TECH Information. By analyzing SI TECH's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of SI TECH's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to SI TECH specific price patterns or momentum indicators. Please read more on our technical analysis page.

SI TECH December 27, 2024 Technical Indicators

Most technical analysis of 300608 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 300608 from various momentum indicators to cycle indicators. When you analyze 300608 charts, please remember that the event formation may indicate an entry point for a short seller, and look at different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.

SI TECH December 27, 2024 Daily Trend Indicators

Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as 300608 stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.

Complementary Tools for 300608 Stock analysis

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