JMT Network (Thailand) Price on April 8, 2020
| JMT Stock | THB 21.30 0.20 0.93% |
If you're considering investing in JMT Stock, it is important to understand the factors that can impact its price. As of today, the current price of JMT Network stands at 21.30, as last reported on the 19th of April, with the highest price reaching 22.00 and the lowest price hitting 21.10 during the day. JMT Network Services holds Efficiency (Sharpe) Ratio of -0.0225, which attests that the entity had a -0.0225% return per unit of volatility over the last 3 months. JMT Network Services exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out JMT Network's risk adjusted performance of (0.04), and Market Risk Adjusted Performance of 0.4497 to validate the risk estimate we provide.
JMT Stock price history is provided at the adjusted basis, taking into account all of the recent filings.
JMT |
Sharpe Ratio = -0.0225
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Estimated Market Risk
| 3.14 actual daily | 27 73% of assets are more volatile |
Expected Return
| -0.07 actual daily | 0 Most of other assets have higher returns |
Risk-Adjusted Return
| -0.02 actual daily | 0 Most of other assets perform better |
Based on monthly moving average JMT Network is not performing at its full potential. However, if added to a well diversified portfolio the total return can be enhanced and market risk can be reduced. You can increase risk-adjusted return of JMT Network by adding JMT Network to a well-diversified portfolio.
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.
About JMT Network Stock history
JMT Network investors dedicate a lot of time and effort to gaining insight into how a market's past behavior relates to its future. Access to timely market data for JMT is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in JMT Network Services will depend on recognizing future opportunities and eliminating past mistakes. Historical data analysis is the study of market behavior over a given time. Recorded market-related data such as price, volatility, and volume can be quantified and studied over a defined period. Through a detailed examination of a market's past behavior, traders and investors can gain perspective on the inner workings of that market. The information obtained throughout analyzing JMT Network stock prices may prove useful in developing a viable investing in JMT Network
JMT Network Services Public Company Limited, together with its subsidiaries, provides debts tracking and collection services in Thailand. JMT Network Services Public Company Limited is a subsidiary of Jay Mart Public Company Limited. JMT NETWORK operates under Credit Services classification in Thailand and is traded on Stock Exchange of Thailand.
JMT Network Stock Technical Analysis
JMT Network 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.
Price Boundaries
JMT Network Period Price Range
JMT Network April 19, 2024 Market Strength
Market strength indicators help investors to evaluate how JMT Network stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading JMT Network shares will generate the highest return on investment. By undertsting and applying JMT Network stock market strength indicators, traders can identify JMT Network Services entry and exit signals to maximize returns
JMT Network Technical and Predictive Indicators
Predictive indicators are helping investors to find signals for JMT Network's price direction in advance. Along with the technical and fundamental analysis of JMT Stock historical price patterns, it is also worthwhile for investors to track various predictive indicators of JMT to make sure they correctly time the market and exploit it's hidden potentials. Even though most predictive indicators are useful for the short-term horizon, it's virtually impossible to predict the unforeseen market. For traders with a short-term horizon, predictive indicators add value when properly applied. Long-term investors, however, may find many predictive indicators less useful.
| Risk Adjusted Performance | (0.04) | |||
| Jensen Alpha | (0.21) | |||
| Total Risk Alpha | (0.54) | |||
| Treynor Ratio | 0.4397 |
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| Math Transform | ||
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| Price Transform | ||
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| Volume Indicators |
Check out Risk vs Return Analysis to better understand how to build diversified portfolios, which includes a position in JMT Network Services. 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 Global Correlations module to find global opportunities by holding instruments from different markets.
Complementary Tools for JMT Stock analysis
When running JMT Network's price analysis, check to measure JMT Network'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 JMT Network is operating at the current time. Most of JMT Network's value examination focuses on studying past and present price action to predict the probability of JMT Network's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move JMT Network's price. Additionally, you may evaluate how the addition of JMT Network to your portfolios can decrease your overall portfolio volatility.
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