Retailors Pink Sheet Forecast - Naive Prediction

RTALFDelisted Stock  USD 24.32  0.00  0.00%   
The Naive Prediction forecasted value of Retailors on the next trading day is expected to be 24.24 with a mean absolute deviation of 0.10 and the sum of the absolute errors of 6.18. Retailors Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Retailors' historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 12th of January 2026 the relative strength index (rsi) of Retailors' share price is below 20 indicating that the pink sheet 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
The successful prediction of Retailors' future price could yield a significant profit. Please, note that this module is not intended to be used solely to calculate an intrinsic value of Retailors and does not consider all of the tangible or intangible factors available from Retailors' fundamental data. We analyze noise-free headlines and recent hype associated with Retailors, which may create opportunities for some arbitrage if properly timed.
Using Retailors hype-based prediction, you can estimate the value of Retailors from the perspective of Retailors response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of Retailors on the next trading day is expected to be 24.24 with a mean absolute deviation of 0.10 and the sum of the absolute errors of 6.18.

Retailors after-hype prediction price

    
  USD 24.32  
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 pink sheet price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
  
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 industry.

Retailors Additional Predictive Modules

Most predictive techniques to examine Retailors price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Retailors using various technical indicators. When you analyze Retailors 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.
A naive forecasting model for Retailors is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Retailors value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

Retailors Naive Prediction Price Forecast For the 13th of January 2026

Given 90 days horizon, the Naive Prediction forecasted value of Retailors on the next trading day is expected to be 24.24 with a mean absolute deviation of 0.10, mean absolute percentage error of 0.04, and the sum of the absolute errors of 6.18.
Please note that although there have been many attempts to predict Retailors Pink Sheet 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 Retailors' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Retailors Pink Sheet Forecast Pattern

Backtest RetailorsRetailors Price PredictionBuy or Sell Advice 

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Retailors pink sheet data series using in forecasting. Note that when a statistical model is used to represent Retailors pink sheet, 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 Criteria114.8175
BiasArithmetic mean of the errors None
MADMean absolute deviation0.1012
MAPEMean absolute percentage error0.0043
SAESum of the absolute errors6.1755
This model is not at all useful as a medium-long range forecasting tool of Retailors. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict Retailors. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for Retailors

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Retailors. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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.
Hype
Prediction
LowEstimatedHigh
24.3224.3224.32
Details
Intrinsic
Valuation
LowRealHigh
20.3620.3626.75
Details
Bollinger
Band Projection (param)
LowMiddleHigh
24.3224.3224.32
Details

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

Retailors Market Strength Events

Market strength indicators help investors to evaluate how Retailors pink sheet reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Retailors shares will generate the highest return on investment. By undertsting and applying Retailors pink sheet market strength indicators, traders can identify Retailors entry and exit signals to maximize returns.

Currently Active Assets on Macroaxis

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 industry.
You can also try the Latest Portfolios module to quick portfolio dashboard that showcases your latest portfolios.

Other Consideration for investing in Retailors Pink Sheet

If you are still planning to invest in Retailors 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 Retailors' history and understand the potential risks before investing.
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