Bank Negara Indonesia Stock Price on March 20, 2023

Bank Negara Valuation on March 20, 2023

Bank Negara Trading Date Momentum on March 20, 2023

On March 21 2023 Bank Negara Indonesia was traded for  13.85  at the closing time. The highest daily price throughout the period was 14.48  and the lowest price was  13.85 . There was no trading activity during the period 1.0. Lack of trading volume on 03/21/2023 did not affect price variability. The overall trading delta to current closing price is 9.03% .

Bank Negara Indonesia Fundamentals Correlations and Trends

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

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

Bank Negara technical pink sheet 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, pink sheet market cycles, or different charting patterns.

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

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