Oracle CDR Stock Forecast - 4 Period Moving Average
| ORAC Stock | 10.01 0.48 5.04% |
The 4 Period Moving Average forecasted value of Oracle CDR on the next trading day is expected to be 9.81 with a mean absolute deviation of 0.44 and the sum of the absolute errors of 24.88. Oracle Stock Forecast is based on your current time horizon.
As of today the value of rsi of Oracle CDR's share price is below 20 . This indicates that the stock is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards. Momentum 0
Sell Peaked
Oversold | Overbought |
Using Oracle CDR hype-based prediction, you can estimate the value of Oracle CDR from the perspective of Oracle CDR response to recently generated media hype and the effects of current headlines on its competitors.
The 4 Period Moving Average forecasted value of Oracle CDR on the next trading day is expected to be 9.81 with a mean absolute deviation of 0.44 and the sum of the absolute errors of 24.88. Oracle CDR after-hype prediction price | CAD 9.92 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Oracle |
Oracle CDR Additional Predictive Modules
Most predictive techniques to examine Oracle price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Oracle using various technical indicators. When you analyze Oracle charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Oracle CDR 4 Period Moving Average Price Forecast For the 12th of January 2026
Given 90 days horizon, the 4 Period Moving Average forecasted value of Oracle CDR on the next trading day is expected to be 9.81 with a mean absolute deviation of 0.44, mean absolute percentage error of 0.30, and the sum of the absolute errors of 24.88.Please note that although there have been many attempts to predict Oracle Stock prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Oracle CDR's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Oracle CDR Stock Forecast Pattern
| Backtest Oracle CDR | Oracle CDR Price Prediction | Buy or Sell Advice |
Oracle CDR Forecasted Value
In the context of forecasting Oracle CDR's Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Oracle CDR's downside and upside margins for the forecasting period are 6.60 and 13.02, respectively. We have considered Oracle CDR's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the 4 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Oracle CDR stock data series using in forecasting. Note that when a statistical model is used to represent Oracle CDR stock, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.| AIC | Akaike Information Criteria | 109.5715 |
| Bias | Arithmetic mean of the errors | 0.2128 |
| MAD | Mean absolute deviation | 0.4365 |
| MAPE | Mean absolute percentage error | 0.04 |
| SAE | Sum of the absolute errors | 24.88 |
Predictive Modules for Oracle CDR
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Oracle CDR. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.Other Forecasting Options for Oracle CDR
For every potential investor in Oracle, whether a beginner or expert, Oracle CDR's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Oracle Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Oracle. Basic forecasting techniques help filter out the noise by identifying Oracle CDR's price trends.Oracle CDR 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 Oracle CDR stock to make a market-neutral strategy. Peer analysis of Oracle CDR could also be used in its relative valuation, which is a method of valuing Oracle CDR by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Oracle CDR 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 Oracle CDR'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 Oracle CDR's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Oracle CDR Market Strength Events
Market strength indicators help investors to evaluate how Oracle CDR stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Oracle CDR shares will generate the highest return on investment. By undertsting and applying Oracle CDR stock market strength indicators, traders can identify Oracle CDR entry and exit signals to maximize returns.
Oracle CDR Risk Indicators
The analysis of Oracle CDR'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 Oracle CDR's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting oracle 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 | 2.41 | |||
| Standard Deviation | 3.19 | |||
| Variance | 10.16 |
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.
Pair Trading with Oracle CDR
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 Oracle CDR 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 Oracle CDR will appreciate offsetting losses from the drop in the long position's value.Moving against Oracle Stock
| 0.91 | GOOG | Alphabet CDR | PairCorr |
| 0.91 | GOOG | Alphabet CDR | PairCorr |
| 0.86 | CCL-A | CCL Industries | PairCorr |
| 0.8 | AX-UN | Artis Real Estate | PairCorr |
| 0.75 | KTO | K2 Gold | PairCorr |
The ability to find closely correlated positions to Oracle CDR could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Oracle CDR 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 Oracle CDR - 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 Oracle CDR to buy it.
The correlation of Oracle CDR 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 Oracle CDR moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Oracle CDR 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 Oracle CDR 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.Other Information on Investing in Oracle Stock
Oracle CDR financial ratios help investors to determine whether Oracle 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 Oracle with respect to the benefits of owning Oracle CDR security.