CITIGROUP INC Analysis
| 172967MM0 | 97.30 0.87 0.89% |
The CITIGROUP bond analysis report makes it easy to digest publicly released information about CITIGROUP and get updates on its essential artifacts, development, and announcements. CITIGROUP Bond analysis module also helps to break down the CITIGROUP price relationship across important fundamental and technical indicators.
CITIGROUP |
Technical Drivers
As of the 17th of August 2025, CITIGROUP shows the mean deviation of 1.37, and Risk Adjusted Performance of 0.0271. In relation to fundamental indicators, the technical analysis model gives you tools to check helpful technical drivers of CITIGROUP, as well as the relationship between them.CITIGROUP INC Price Movement Analysis
The output start index for this execution was two with a total number of output elements of fifty-nine. The Double Exponential Moving Average indicator was developed by Patrick Mulloy. It consists of a single exponential moving average and a double exponential moving average. This indicator is more responsive to CITIGROUP INC changes than the simple moving average.
CITIGROUP Predictive Daily Indicators
CITIGROUP intraday indicators are useful technical analysis tools used by many experienced traders. Just like the conventional technical analysis, daily indicators help intraday investors to analyze the price movement with the timing of CITIGROUP bond daily movement. By combining multiple daily indicators into a single trading strategy, you can limit your risk while still earning strong returns on your managed positions.
| Daily Balance Of Power | (9,223,372,036,855) | |||
| Rate Of Daily Change | 0.99 | |||
| Day Median Price | 97.3 | |||
| Day Typical Price | 97.3 | |||
| Price Action Indicator | (0.44) | |||
| Period Momentum Indicator | (0.87) | |||
| Relative Strength Index | 55.0 |
CITIGROUP Forecast Models
CITIGROUP's time-series forecasting models are one of many CITIGROUP's bond analysis techniques aimed at predicting future share value based on previously observed values. Time-series forecasting models ae widely used for non-stationary data. Non-stationary data are called the data whose statistical properties e.g. the mean and standard deviation are not constant over time but instead, these metrics vary over time. These non-stationary CITIGROUP's historical data is usually called time-series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the market movement and maximize returns from investment trading.Be your own money manager
As an investor, your ultimate goal is to build wealth. Optimizing your investment portfolio is an essential element in this goal. Using our bond analysis tools, you can find out how much better you can do when adding CITIGROUP to your portfolios without increasing risk or reducing expected return.Did you try this?
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Other Information on Investing in CITIGROUP Bond
CITIGROUP financial ratios help investors to determine whether CITIGROUP Bond is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in CITIGROUP with respect to the benefits of owning CITIGROUP security.