Oracle Stock Forecast - Triple Exponential Smoothing

ORCL Stock  USD 184.84  2.14  1.17%   
The Triple Exponential Smoothing forecasted value of Oracle on the next trading day is expected to be 185.10 with a mean absolute deviation of 2.43 and the sum of the absolute errors of 145.92. Oracle Stock Forecast is based on your current time horizon. Although Oracle's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Oracle's systematic risk associated with finding meaningful patterns of Oracle fundamentals over time.
  
Payables Turnover is expected to rise to 8.22 this year, although the value of Inventory Turnover will most likely fall to 27.21. . Common Stock Shares Outstanding is expected to rise to about 3.9 B this year, although the value of Net Income Applicable To Common Shares will most likely fall to about 7.6 B.
Triple exponential smoothing for Oracle - also known as the Winters method - is a refinement of the popular double exponential smoothing model with the addition of periodicity (seasonality) component. Simple exponential smoothing technique works best with data where there are no trend or seasonality components to the data. When Oracle prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any trend in Oracle price movement. However, neither of these exponential smoothing models address any seasonality of Oracle.

Oracle Triple Exponential Smoothing Price Forecast For the 1st of December

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Oracle on the next trading day is expected to be 185.10 with a mean absolute deviation of 2.43, mean absolute percentage error of 13.58, and the sum of the absolute errors of 145.92.
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's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Oracle Stock Forecast Pattern

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Oracle Forecasted Value

In the context of forecasting Oracle'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's downside and upside margins for the forecasting period are 182.93 and 187.28, respectively. We have considered Oracle'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.
Market Value
184.84
182.93
Downside
185.10
Expected Value
187.28
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Triple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Oracle stock data series using in forecasting. Note that when a statistical model is used to represent Oracle 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.
AICAkaike Information CriteriaHuge
BiasArithmetic mean of the errors -0.4393
MADMean absolute deviation2.4321
MAPEMean absolute percentage error0.0141
SAESum of the absolute errors145.9247
As with simple exponential smoothing, in triple exponential smoothing models past Oracle observations are given exponentially smaller weights as the observations get older. In other words, recent observations are given relatively more weight in forecasting than the older Oracle observations.

Predictive Modules for Oracle

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. 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Oracle's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
182.34184.51186.68
Details
Intrinsic
Valuation
LowRealHigh
163.21165.38203.32
Details
Bollinger
Band Projection (param)
LowMiddleHigh
181.24187.97194.71
Details
35 Analysts
Consensus
LowTargetHigh
112.70123.85137.47
Details

Other Forecasting Options for Oracle

For every potential investor in Oracle, whether a beginner or expert, Oracle'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's price trends.

Oracle 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 stock to make a market-neutral strategy. Peer analysis of Oracle could also be used in its relative valuation, which is a method of valuing Oracle by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Oracle 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'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's current price.

Oracle Market Strength Events

Market strength indicators help investors to evaluate how Oracle 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 shares will generate the highest return on investment. By undertsting and applying Oracle stock market strength indicators, traders can identify Oracle entry and exit signals to maximize returns.

Oracle Risk Indicators

The analysis of Oracle'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'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.
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.

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When determining whether Oracle is a strong investment it is important to analyze Oracle's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Oracle's future performance. For an informed investment choice regarding Oracle Stock, refer to the following important reports:
Check out Historical Fundamental Analysis of Oracle to cross-verify your projections.
For more information on how to buy Oracle Stock please use our How to buy in Oracle Stock guide.
You can also try the Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
Is Systems Software space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Oracle. If investors know Oracle will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Oracle listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth
0.198
Dividend Share
1.6
Earnings Share
3.87
Revenue Per Share
19.553
Quarterly Revenue Growth
0.069
The market value of Oracle is measured differently than its book value, which is the value of Oracle that is recorded on the company's balance sheet. Investors also form their own opinion of Oracle's value that differs from its market value or its book value, called intrinsic value, which is Oracle's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Oracle's market value can be influenced by many factors that don't directly affect Oracle's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Oracle's value and its price as these two are different measures arrived at by different means. Investors typically determine if Oracle is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Oracle's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.