Swissquote Group (Switzerland) Price History

Swissquote Group Stock Price History Chart

Swissquote Group December 13, 2024 Stock Price Synopsis

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

Swissquote Stock Price History Data

The price series of Swissquote Group for the period between Sat, Sep 14, 2024 and Fri, Dec 13, 2024 has a statistical range of 76.0 with a coefficient of variation of 6.66. The price distribution for the period has arithmetic mean of 318.18. The median price for the last 90 days is 306.0. The company completed stock split (10:1) on 8th of May 2007. Swissquote Group Holding had dividends distributed to its stock-holders on 2022-05-10.

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

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