Capgemini Pink Sheet Forecast - Daily Balance Of Power
CAPMF Stock | USD 219.75 1.45 0.66% |
Capgemini Pink Sheet Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Capgemini stock prices and determine the direction of Capgemini SE's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Capgemini's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of Capgemini to cross-verify your projections. Capgemini |
Most investors in Capgemini 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 Capgemini's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Capgemini's price structures and extracts relationships that further increase the generated results' accuracy.
Balance of Power indicator (or BOP) measures the strength of Capgemini SE market sensitivity to bulls and bears. It estimates the ability of Capgemini buyers and sellers to push price to an extreme high or extreme low level. As a result, by monitoring Capgemini Balance of Power indicator one can determine a trend of the price direction.Previous Daily Balance Of Power | Daily Balance Of Power | Trend |
0.8594 | 0.29 |
Check Capgemini Volatility | Backtest Capgemini | Information Ratio |
Capgemini Trading Date Momentum
On April 23 2024 Capgemini SE was traded for 219.75 at the closing time. The highest daily price throughout the period was 220.00 and the lowest price was 215.00 . The daily volume was 392. The net trading volume on 04/23/2024 did not affect price variability. The overall trading delta to current closing price is 0.11% . |
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 Capgemini to competition |
Other Forecasting Options for Capgemini
For every potential investor in Capgemini, whether a beginner or expert, Capgemini's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Capgemini Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Capgemini. Basic forecasting techniques help filter out the noise by identifying Capgemini's price trends.Capgemini 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 Capgemini pink sheet to make a market-neutral strategy. Peer analysis of Capgemini could also be used in its relative valuation, which is a method of valuing Capgemini by comparing valuation metrics with similar companies.
Risk & Return | Correlation |
Capgemini SE Technical and Predictive Analytics
The pink sheet market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Capgemini'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 Capgemini's current price.Cycle Indicators | ||
Math Operators | ||
Math Transform | ||
Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
Capgemini Market Strength Events
Market strength indicators help investors to evaluate how Capgemini pink sheet reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Capgemini shares will generate the highest return on investment. By undertsting and applying Capgemini pink sheet market strength indicators, traders can identify Capgemini SE entry and exit signals to maximize returns.
Capgemini Risk Indicators
The analysis of Capgemini'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 Capgemini's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting capgemini pink sheet 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 | 1.19 | |||
Semi Deviation | 1.58 | |||
Standard Deviation | 1.6 | |||
Variance | 2.55 | |||
Downside Variance | 2.63 | |||
Semi Variance | 2.49 | |||
Expected Short fall | (1.17) |
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 Capgemini 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, Capgemini's short interest history, or implied volatility extrapolated from Capgemini options trading.
Pair Trading with Capgemini
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Capgemini position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Capgemini will appreciate offsetting losses from the drop in the long position's value.Moving together with Capgemini Pink Sheet
0.61 | ACN | Accenture plc Sell-off Trend | PairCorr |
0.69 | IBM | International Business Earnings Call Today | PairCorr |
Moving against Capgemini Pink Sheet
0.43 | SWZNF | Schweizerische Nationalbank | PairCorr |
The ability to find closely correlated positions to Capgemini could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Capgemini when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Capgemini - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Capgemini SE to buy it.
The correlation of Capgemini is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Capgemini moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Capgemini SE moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Capgemini can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Historical Fundamental Analysis of Capgemini to cross-verify your projections. You can also try the Portfolio Holdings module to check your current holdings and cash postion to detemine if your portfolio needs rebalancing.
Complementary Tools for Capgemini Pink Sheet analysis
When running Capgemini's price analysis, check to measure Capgemini'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 Capgemini is operating at the current time. Most of Capgemini's value examination focuses on studying past and present price action to predict the probability of Capgemini's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Capgemini's price. Additionally, you may evaluate how the addition of Capgemini to your portfolios can decrease your overall portfolio volatility.
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