Stewart Information Services Stock Price History

Stewart Information Stock Price History Chart

Stewart Information July 19, 2025 Stock Price Synopsis

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

Stewart Stock Price History Data

The price series of Stewart Information for the period between Sun, Apr 20, 2025 and Sat, Jul 19, 2025 has a statistical range of 10.04 with a coefficient of variation of 4.07. The price distribution for the period has arithmetic mean of 62.93. The median price for the last 90 days is 64.03. The company completed stock split (2:1) on 24th of May 1999. Stewart Information had dividends distributed to its stock-holders on 2025-06-16.

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

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