Westpac Banking Stock Price History

Westpac Banking Pink Sheet Price History Chart

Westpac Banking March 27, 2025 Pink Sheet Price Synopsis

Various analyses of Westpac Banking's daily price changes, such as its Balance Of Power or Price Action, are crucial when deciding whether to buy, hold, or sell Westpac Pink Sheet. It can be used to describe the percentage change in the price of Westpac Banking from one trading day to the next and could be a valuable metric for traders and investors to gauge the volatility and momentum of Westpac Pink Sheet. When benchmark price declines in a down market, there may be an uptick in Westpac 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 Westpac Banking intraday prices and daily technical indicators to check the level of noise trading in Westpac Stock and then apply it to test your longer-term investment strategies against Westpac.

Westpac Pink Sheet Price History Data

The price series of Westpac Banking for the period between Fri, Dec 27, 2024 and Thu, Mar 27, 2025 has a statistical range of 3.61 with a coefficient of variation of 4.33. The daily prices for the period are distributed with arithmetic mean of 19.79. The median price for the last 90 days is 19.65. The company experienced 548:545 stock split on 19th of October 2015. Westpac Banking paid out dividends to its shareholders on 2022-11-17.

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

Westpac Banking 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.

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