Mt Bank Preferred Stock Price on May 24, 2024

MT Bank Valuation on May 24, 2024

MT Bank Trading Date Momentum on May 24, 2024

On May 28 2024 MT Bank was traded for  22.78  at the closing time. The maximum traded price for the trading interval was 23.06  and the lowest daily price was  22.72 . The daily volume was recorded at 23.3 K. The volume of trading on 28th of May 2024 played a part in the next trading day price drop. The trading delta at closing time to the next closing price was 0.13% . The trading delta at closing time to the closing price today is 0.83% .

MT Bank Fundamentals Correlations and Trends

By evaluating MT Bank'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 MT Bank's main balance sheet or income statement drivers and many other relevant indicators that can statistically be found significantly correlated or uncorrelated. MTB-PH financial account trend analysis is a perfect complement when working with valuation or volatility modules.

MT Bank 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 MTB-PH is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in MT Bank 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 MT Bank stock prices may prove useful in developing a viable investing in MT Bank

MT Bank technical preferred 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, preferred stock market cycles, or different charting patterns.

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

Predictive indicators are helping investors to find signals for MT Bank's price direction in advance. Along with the technical and fundamental analysis of MTB-PH Preferred Stock historical price patterns, it is also worthwhile for investors to track various predictive indicators of MTB-PH 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 MT Bank's price analysis, check to measure MT Bank'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 MT Bank is operating at the current time. Most of MT Bank's value examination focuses on studying past and present price action to predict the probability of MT Bank's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move MT Bank's price. Additionally, you may evaluate how the addition of MT Bank to your portfolios can decrease your overall portfolio volatility.