Stephan Pink Sheet Forecast - Naive Prediction

SPCODelisted Stock  USD 1.64  0.06  3.53%   
The Naive Prediction forecasted value of The Stephan Co on the next trading day is expected to be 1.46 with a mean absolute deviation of 0.08 and the sum of the absolute errors of 2.05. Stephan Pink Sheet Forecast is based on your current time horizon.
  
A naive forecasting model for Stephan is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of The Stephan Co 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.

Stephan Naive Prediction Price Forecast For the 16th of December 2024

Given 90 days horizon, the Naive Prediction forecasted value of The Stephan Co on the next trading day is expected to be 1.46 with a mean absolute deviation of 0.08, mean absolute percentage error of 0.01, and the sum of the absolute errors of 2.05.
Please note that although there have been many attempts to predict Stephan 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 Stephan's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Stephan Pink Sheet Forecast Pattern

Backtest StephanStephan 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 Stephan pink sheet data series using in forecasting. Note that when a statistical model is used to represent Stephan 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 Criteria50.8049
BiasArithmetic mean of the errors None
MADMean absolute deviation0.076
MAPEMean absolute percentage error0.0421
SAESum of the absolute errors2.0513
This model is not at all useful as a medium-long range forecasting tool of The Stephan Co. 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 Stephan. 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 Stephan

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as The Stephan. 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Stephan'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
1.641.641.64
Details
Intrinsic
Valuation
LowRealHigh
1.471.471.80
Details

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

Stephan Market Strength Events

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

Stephan Risk Indicators

The analysis of Stephan'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 Stephan's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting stephan pink sheet 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.

Pair Trading with Stephan

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 Stephan 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 Stephan will appreciate offsetting losses from the drop in the long position's value.

Moving against Stephan Pink Sheet

  0.62KO Coca Cola Fiscal Year End 11th of February 2025 PairCorr
  0.56JNJ Johnson Johnson Fiscal Year End 28th of January 2025 PairCorr
  0.43AFFL Affiliated Resources CorpPairCorr
  0.32VNTN VentureNet CapitalPairCorr
  0.31MCD McDonalds Sell-off TrendPairCorr
The ability to find closely correlated positions to Stephan could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Stephan 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 Stephan - 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 The Stephan Co to buy it.
The correlation of Stephan 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 Stephan moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if The Stephan 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 Stephan 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.
Pair CorrelationCorrelation Matching
Check out World Market Map 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 main economic indicators.
You can also try the Earnings Calls module to check upcoming earnings announcements updated hourly across public exchanges.

Other Consideration for investing in Stephan Pink Sheet

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