Bank Dinar Stock Forecast - Period Momentum Indicator
| DNAR Stock | IDR 107.00 2.00 1.83% |
Bank Stock Forecast is based on your current time horizon.
Bank |
| Check Bank Dinar Volatility | Backtest Bank Dinar | Trend Details |
Bank Dinar Trading Date Momentum
| On December 23 2024 Bank Dinar Indonesia was traded for 113.00 at the closing time. The highest price during the trading period was 113.00 and the lowest recorded bid was listed for 102.00 . The volume for the day was 7.1 M. This history from December 23, 2024 contributed to the next trading day price upswing. The overall trading delta to the next closing price was 10.78% . The overall trading delta to the current price is 5.88% . |
Generally speaking extended values of the momentum indicator over time are good indicators of oversold or over brought conditions.
| Compare Bank Dinar to competition |
Other Forecasting Options for Bank Dinar
For every potential investor in Bank, whether a beginner or expert, Bank Dinar's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Bank Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Bank. Basic forecasting techniques help filter out the noise by identifying Bank Dinar's price trends.Bank Dinar 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 Bank Dinar stock to make a market-neutral strategy. Peer analysis of Bank Dinar could also be used in its relative valuation, which is a method of valuing Bank Dinar by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Bank Dinar Indonesia 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 Bank Dinar'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 Bank Dinar's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Bank Dinar Market Strength Events
Market strength indicators help investors to evaluate how Bank Dinar stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Bank Dinar shares will generate the highest return on investment. By undertsting and applying Bank Dinar stock market strength indicators, traders can identify Bank Dinar Indonesia entry and exit signals to maximize returns.
Bank Dinar Risk Indicators
The analysis of Bank Dinar'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 Bank Dinar's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting bank 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 | 5.25 | |||
| Semi Deviation | 5.15 | |||
| Standard Deviation | 8.42 | |||
| Variance | 70.93 | |||
| Downside Variance | 33.01 | |||
| Semi Variance | 26.55 | |||
| Expected Short fall | (7.60) |
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.
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio ArchitectOther Information on Investing in Bank Stock
Bank Dinar financial ratios help investors to determine whether Bank Stock 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 Bank with respect to the benefits of owning Bank Dinar security.