Lead Data (Taiwan) Technical Analysis

2443 Stock  TWD 4.44  0.01  0.22%   
As of the 28th of March, Lead Data secures the Mean Deviation of 4.46, risk adjusted performance of 0.0712, and Downside Deviation of 4.79. Lead Data technical analysis lets you operate historical price patterns with an objective to determine a pattern that forecasts the direction of the firm's future prices. Strictly speaking, you can use this information to find out if the firm will indeed mirror its model of past prices, or the prices will eventually revert. We were able to interpolate nineteen technical drivers for Lead Data, which can be compared to its peers in the industry. Please verify Lead Data semi deviation, coefficient of variation, and the relationship between the mean deviation and downside deviation to decide if Lead Data is priced some-what accurately, providing market reflects its recent price of 4.44 per share.

Lead Data Momentum Analysis

Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Lead, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to Lead
  
Lead Data'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.
Lead Data 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 Lead Data technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Lead Data 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...

Lead Data Technical Analysis

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The output start index for this execution was three with a total number of output elements of fifty-eight. 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 Lead Data volatility. High ATR values indicate high volatility, and low values indicate low volatility.

Lead Data Trend Analysis

Use this graph to draw trend lines for Lead Data. You can use it to identify possible trend reversals for Lead Data 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 Lead Data price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.

Lead Data Best Fit Change Line

The following chart estimates an ordinary least squares regression model for Lead Data applied against its price change over selected period. The best fit line has a slop of    , which means Lead Data will continue generating value for investors. It has 122 observation points and a regression sum of squares at 0.15, which is the sum of squared deviations for the predicted Lead Data price change compared to its average price change.

About Lead Data 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 Lead Data 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 Lead Data based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Lead Data price pattern first instead of the macroeconomic environment surrounding Lead Data. By analyzing Lead Data'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 Lead Data'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 Lead Data specific price patterns or momentum indicators. Please read more on our technical analysis page.

Lead Data March 28, 2024 Technical Indicators

Most technical analysis of Lead 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 Lead from various momentum indicators to cycle indicators. When you analyze Lead 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.

Lead Data March 28, 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 Lead 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.
Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Lead Data. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in board of governors.
You can also try the Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.

Complementary Tools for Lead Stock analysis

When running Lead Data's price analysis, check to measure Lead Data'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 Lead Data is operating at the current time. Most of Lead Data's value examination focuses on studying past and present price action to predict the probability of Lead Data's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Lead Data's price. Additionally, you may evaluate how the addition of Lead Data to your portfolios can decrease your overall portfolio volatility.
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Please note, there is a significant difference between Lead Data's value and its price as these two are different measures arrived at by different means. Investors typically determine if Lead Data is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Lead Data's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.