Applied DB (Thailand) Technical Analysis

Overlap Analysis View

Forecast Models View

Price Shifting View

Volatility Indicators View

Value Movement View

A focus of Applied DB technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Applied DB 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...

Applied DB Public Technical Analysis

Applied DB Public Trend Analysis

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

Applied DB Best Fit Change Line

The following chart estimates an ordinary least squares regression model for Applied DB Public applied against its price change over selected period. The best fit line has a slop of   0.0032  , which may suggest that Applied DB Public market price will keep on failing further. It has 122 observation points and a regression sum of squares at 0.38, which is the sum of squared deviations for the predicted Applied DB price change compared to its average price change.

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

Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Applied 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 Applied DB Public. 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. Note that the Applied DB Public information on this page should be used as a complementary analysis to other Applied DB's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Transaction History module to view history of all your transactions and understand their impact on performance.

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