SolarWindow Technologies Pink Sheet Forecast - Naive Prediction

WNDW Stock  USD 0.36  0.05  16.13%   
The Naive Prediction forecasted value of SolarWindow Technologies on the next trading day is expected to be 0.21 with a mean absolute deviation of 0.06 and the sum of the absolute errors of 3.95. SolarWindow Pink Sheet Forecast is based on your current time horizon.
  
A naive forecasting model for SolarWindow Technologies is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of SolarWindow Technologies 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.

SolarWindow Technologies Naive Prediction Price Forecast For the 1st of December

Given 90 days horizon, the Naive Prediction forecasted value of SolarWindow Technologies on the next trading day is expected to be 0.21 with a mean absolute deviation of 0.06, mean absolute percentage error of 0.01, and the sum of the absolute errors of 3.95.
Please note that although there have been many attempts to predict SolarWindow 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 SolarWindow Technologies' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

SolarWindow Technologies Pink Sheet Forecast Pattern

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SolarWindow Technologies Forecasted Value

In the context of forecasting SolarWindow Technologies' Pink Sheet 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. SolarWindow Technologies' downside and upside margins for the forecasting period are 0 and 16.43, respectively. We have considered SolarWindow Technologies' 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
0.36
0.21
Expected Value
16.43
Upside

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 SolarWindow Technologies pink sheet data series using in forecasting. Note that when a statistical model is used to represent SolarWindow Technologies 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 Criteria115.045
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0637
MAPEMean absolute percentage error0.1315
SAESum of the absolute errors3.9505
This model is not at all useful as a medium-long range forecasting tool of SolarWindow Technologies. 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 SolarWindow Technologies. 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 SolarWindow Technologies

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as SolarWindow Technologies. 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 SolarWindow Technologies' 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
0.020.3616.58
Details
Intrinsic
Valuation
LowRealHigh
0.020.3116.53
Details

Other Forecasting Options for SolarWindow Technologies

For every potential investor in SolarWindow, whether a beginner or expert, SolarWindow Technologies' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. SolarWindow Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in SolarWindow. Basic forecasting techniques help filter out the noise by identifying SolarWindow Technologies' price trends.

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 Risk & Return  Correlation

SolarWindow Technologies Technical and Predictive Analytics

The pink sheet market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of SolarWindow Technologies' 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 SolarWindow Technologies' current price.

SolarWindow Technologies Market Strength Events

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

SolarWindow Technologies Risk Indicators

The analysis of SolarWindow Technologies' 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 SolarWindow Technologies' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting solarwindow 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.

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Additional Tools for SolarWindow Pink Sheet Analysis

When running SolarWindow Technologies' price analysis, check to measure SolarWindow Technologies' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy SolarWindow Technologies is operating at the current time. Most of SolarWindow Technologies' value examination focuses on studying past and present price action to predict the probability of SolarWindow Technologies' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move SolarWindow Technologies' price. Additionally, you may evaluate how the addition of SolarWindow Technologies to your portfolios can decrease your overall portfolio volatility.