Affiliated Managers Group, Stock Price History

Affiliated Managers Stock Price History Chart

Affiliated Managers March 24, 2025 Stock Price Synopsis

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

Affiliated Stock Price History Data

The price series of Affiliated Managers for the period between Tue, Dec 24, 2024 and Mon, Mar 24, 2025 has a statistical range of 1.49 with a coefficient of variation of 1.25. The daily prices for the period are spread out with arithmetic mean of 24.9. The median price for the last 90 days is 24.99. The company issued dividends to stockholders on 2025-03-31.

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

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