Smurfit Kappa Stock Forecast - Daily Balance Of Power
SK3 Stock | EUR 39.96 0.13 0.33% |
Smurfit Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Smurfit Kappa stock prices and determine the direction of Smurfit Kappa Group's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Smurfit Kappa's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of Smurfit Kappa to cross-verify your projections. Smurfit |
Most investors in Smurfit Kappa cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Smurfit Kappa's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Smurfit Kappa's price structures and extracts relationships that further increase the generated results' accuracy.
Balance of Power indicator (or BOP) measures the strength of Smurfit Kappa Group market sensitivity to bulls and bears. It estimates the ability of Smurfit Kappa buyers and sellers to push price to an extreme high or extreme low level. As a result, by monitoring Smurfit Kappa Balance of Power indicator one can determine a trend of the price direction.Previous Daily Balance Of Power | Daily Balance Of Power | Trend |
0.1778 | 0.1444 |
Check Smurfit Kappa Volatility | Backtest Smurfit Kappa | Information Ratio |
Smurfit Kappa Trading Date Momentum
On April 29 2024 Smurfit Kappa Group was traded for 39.96 at the closing time. The maximum traded price for the trading interval was 40.34 and the lowest daily price was 39.44 . There was no trading activity during the period 0.0. Lack of trading volume on 29th of April 2024 did not result in any price rise and fall. The trading price change to the closing price today is 0.40% . |
Balance of Power indicator was created by Igor Livshin to predict asset short term price movements or warning signals. If Balance of Power indicator is trended towards the high of its range it will signify that the bulls are in control. On the other hand when the BOP indicator is moving towards the lows of its range it signifies that the bears are in control. If the indicator move from a high positive range to a lower positive range it signifies that the buying pressure is decreasing. Conversely, if the indicator move from a low negative range to a higher negative range it signifies that the selling pressure is decreasing.
Compare Smurfit Kappa to competition |
Other Forecasting Options for Smurfit Kappa
For every potential investor in Smurfit, whether a beginner or expert, Smurfit Kappa's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Smurfit Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Smurfit. Basic forecasting techniques help filter out the noise by identifying Smurfit Kappa's price trends.Smurfit Kappa Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Smurfit Kappa stock to make a market-neutral strategy. Peer analysis of Smurfit Kappa could also be used in its relative valuation, which is a method of valuing Smurfit Kappa by comparing valuation metrics with similar companies.
Risk & Return | Correlation |
Smurfit Kappa Group Technical and Predictive Analytics
The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Smurfit Kappa's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Smurfit Kappa's current price.Cycle Indicators | ||
Math Operators | ||
Math Transform | ||
Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
Smurfit Kappa Market Strength Events
Market strength indicators help investors to evaluate how Smurfit Kappa stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Smurfit Kappa shares will generate the highest return on investment. By undertsting and applying Smurfit Kappa stock market strength indicators, traders can identify Smurfit Kappa Group entry and exit signals to maximize returns.
Smurfit Kappa Risk Indicators
The analysis of Smurfit Kappa's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Smurfit Kappa's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting smurfit stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
Mean Deviation | 1.01 | |||
Semi Deviation | 1.01 | |||
Standard Deviation | 1.47 | |||
Variance | 2.17 | |||
Downside Variance | 1.57 | |||
Semi Variance | 1.01 | |||
Expected Short fall | (1.14) |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Smurfit Kappa in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Smurfit Kappa's short interest history, or implied volatility extrapolated from Smurfit Kappa options trading.
Currently Active Assets on Macroaxis
Check out Historical Fundamental Analysis of Smurfit Kappa to cross-verify your projections. Note that the Smurfit Kappa Group information on this page should be used as a complementary analysis to other Smurfit Kappa's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.
Complementary Tools for Smurfit Stock analysis
When running Smurfit Kappa's price analysis, check to measure Smurfit Kappa'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 Smurfit Kappa is operating at the current time. Most of Smurfit Kappa's value examination focuses on studying past and present price action to predict the probability of Smurfit Kappa's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Smurfit Kappa's price. Additionally, you may evaluate how the addition of Smurfit Kappa to your portfolios can decrease your overall portfolio volatility.
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