Retail Opportunity Stock Forecast - Simple Exponential Smoothing
| ROICDelisted Stock | USD 17.49 0.00 0.00% |
The Simple Exponential Smoothing forecasted value of Retail Opportunity Investments on the next trading day is expected to be 17.49 with a mean absolute deviation of 0.02 and the sum of the absolute errors of 1.05. Retail Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Retail Opportunity stock prices and determine the direction of Retail Opportunity Investments's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Retail Opportunity's historical fundamentals, such as revenue growth or operating cash flow patterns.
At the present time the value of rsi of Retail Opportunity's share price is below 20 indicating 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 Retail Opportunity hype-based prediction, you can estimate the value of Retail Opportunity Investments from the perspective of Retail Opportunity response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Exponential Smoothing forecasted value of Retail Opportunity Investments on the next trading day is expected to be 17.49 with a mean absolute deviation of 0.02 and the sum of the absolute errors of 1.05. Retail Opportunity after-hype prediction price | USD 17.49 |
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 delisted stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Retail |
Retail Opportunity Additional Predictive Modules
Most predictive techniques to examine Retail price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Retail using various technical indicators. When you analyze Retail 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 |
Retail Opportunity Simple Exponential Smoothing Price Forecast For the 15th of January 2026
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Retail Opportunity Investments on the next trading day is expected to be 17.49 with a mean absolute deviation of 0.02, mean absolute percentage error of 0.0005, and the sum of the absolute errors of 1.05.Please note that although there have been many attempts to predict Retail 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 Retail Opportunity's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Retail Opportunity Stock Forecast Pattern
| Backtest Retail Opportunity | Retail Opportunity Price Prediction | Buy or Sell Advice |
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Retail Opportunity stock data series using in forecasting. Note that when a statistical model is used to represent Retail Opportunity 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 | 108.6628 |
| Bias | Arithmetic mean of the errors | -0.0069 |
| MAD | Mean absolute deviation | 0.0175 |
| MAPE | Mean absolute percentage error | 0.001 |
| SAE | Sum of the absolute errors | 1.0502 |
Predictive Modules for Retail Opportunity
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Retail Opportunity. 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.Retail Opportunity 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 Retail Opportunity stock to make a market-neutral strategy. Peer analysis of Retail Opportunity could also be used in its relative valuation, which is a method of valuing Retail Opportunity by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Retail Opportunity Market Strength Events
Market strength indicators help investors to evaluate how Retail Opportunity stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Retail Opportunity shares will generate the highest return on investment. By undertsting and applying Retail Opportunity stock market strength indicators, traders can identify Retail Opportunity Investments entry and exit signals to maximize returns.
| Accumulation Distribution | 6.0E-4 | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 17.49 | |||
| Day Typical Price | 17.49 | |||
| Market Facilitation Index | 0.01 | |||
| Price Action Indicator | (0.01) |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Check out Your Equity Center to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in gross domestic product. You can also try the Portfolio Anywhere module to track or share privately all of your investments from the convenience of any device.
Other Consideration for investing in Retail Stock
If you are still planning to invest in Retail Opportunity check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Retail Opportunity's history and understand the potential risks before investing.
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