Bank of Nanjing Co Ltd (China) Price History

Bank of Nanjing Co Ltd Stock Price History Chart

Bank of Nanjing Co Ltd March 10, 2025 Stock Price Synopsis

Various analyses of Bank of Nanjing Co Ltd's daily price changes, such as its Balance Of Power or Price Action, are crucial when deciding whether to buy, hold, or sell Bank Stock. It can be used to describe the percentage change in the price of Bank of Nanjing Co Ltd from one trading day to the next and could be a valuable metric for traders and investors to gauge the volatility and momentum of Bank Stock. When benchmark price declines in a down market, there may be an uptick in Bank Stock price where buyers come in believing the asset is cheap or selling overdone. The opposite is true when the market is bullish. You can use Bank of Nanjing Co Ltd intraday prices and daily technical indicators to check the level of noise trading in Bank Stock and then apply it to test your longer-term investment strategies against Bank.

Bank Stock Price History Data

The price series of Bank of Nanjing Co Ltd for the period between Tue, Dec 10, 2024 and Mon, Mar 10, 2025 has a statistical range of 0.81 with a coefficient of variation of 1.78. The prices are distributed with arithmetic mean of 10.48. The median price for the last 90 days is 10.53. The company had 14:10 stock split on 18th of July 2017. Bank of Nanjing Co Ltd issued dividends on 2024-11-01.

Bank of Nanjing Co Ltd 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 of Nanjing Co Ltd 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 of Nanjing Co Ltd stock prices may prove useful in developing a viable investing in Bank of Nanjing Co Ltd

Bank of Nanjing Co Ltd 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.

Predictive indicators are helping investors to find signals for Bank of Nanjing Co Ltd's price direction in advance. Along with the technical and fundamental analysis of Bank Stock 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 of Nanjing Co Ltd's price analysis, check to measure Bank of Nanjing Co Ltd'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 of Nanjing Co Ltd is operating at the current time. Most of Bank of Nanjing Co Ltd's value examination focuses on studying past and present price action to predict the probability of Bank of Nanjing Co Ltd'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 of Nanjing Co Ltd's price. Additionally, you may evaluate how the addition of Bank of Nanjing Co Ltd to your portfolios can decrease your overall portfolio volatility.