Home Product (Thailand) Price on September 16, 2024

Home Product Valuation on September 16, 2024

Home Product Trading Date Momentum on September 16, 2024

On September 17 2024 Home Product Center was traded for  10.80  at the closing time. The highest price during the trading period was 10.90  and the lowest recorded bid was listed for  10.80 . The volume for the day was 11.4 M. This history from September 17, 2024 did not cause price change. The trading delta at closing time to the current price is 0.00% .

Home Product Center Fundamentals Correlations and Trends

By evaluating Home Product's financials over time, investors can gain insight into future company performance. However, you can also analyze the published financial statements to find patterns among Home Product's main balance sheet or income statement drivers and many other relevant indicators that can statistically be found significantly correlated or uncorrelated. Home financial account trend analysis is a perfect complement when working with valuation or volatility modules.

Home Product 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 Home is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in Home Product Center 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 Home Product stock prices may prove useful in developing a viable investing in Home Product

Home Product 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.

Market strength indicators help investors to evaluate how Home Product stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Home Product shares will generate the highest return on investment. By undertsting and applying Home Product stock market strength indicators, traders can identify Home Product Center entry and exit signals to maximize returns

Predictive indicators are helping investors to find signals for Home Product's price direction in advance. Along with the technical and fundamental analysis of Home Stock historical price patterns, it is also worthwhile for investors to track various predictive indicators of Home 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.

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