Schindler Holding (Switzerland) Price History

Schindler Holding Stock Price History Chart

Schindler Holding December 13, 2024 Stock Price Synopsis

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

Schindler Stock Price History Data

The price series of Schindler Holding for the period between Sat, Sep 14, 2024 and Fri, Dec 13, 2024 has a statistical range of 23.0 with a coefficient of variation of 2.58. The price distribution for the period has arithmetic mean of 245.1. The median price for the last 90 days is 247.0. The company completed stock split (10:1) on 27th of March 2006. Schindler Holding had dividends distributed to its stock-holders on 2022-03-24.

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

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