The Naive Prediction forecasted value of Sugarmade on the next trading day is expected to be 0.0004 with a mean absolute deviation of 0.000034 and the sum of the absolute errors of 0. Sugarmade Pink Sheet Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Sugarmade stock prices and determine the direction of Sugarmade's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Sugarmade's historical fundamentals, such as revenue growth or operating cash flow patterns.
Sugarmade
A naive forecasting model for Sugarmade is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Sugarmade 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.
Sugarmade Naive Prediction Price Forecast For the 25th of March
Given 90 days horizon, the Naive Prediction forecasted value of Sugarmade on the next trading day is expected to be 0.0004 with a mean absolute deviation of 0.000034, mean absolute percentage error of 0, and the sum of the absolute errors of 0.
Please note that although there have been many attempts to predict Sugarmade 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 Sugarmade's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
In the context of forecasting Sugarmade's 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. Sugarmade's downside and upside margins for the forecasting period are 0.000003 and 210.41, respectively. We have considered Sugarmade'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.
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 Sugarmade pink sheet data series using in forecasting. Note that when a statistical model is used to represent Sugarmade 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.
AIC
Akaike Information Criteria
98.2905
Bias
Arithmetic mean of the errors
None
MAD
Mean absolute deviation
0.0
MAPE
Mean absolute percentage error
9.223372036854776E14
SAE
Sum of the absolute errors
0.002
This model is not at all useful as a medium-long range forecasting tool of Sugarmade. 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 Sugarmade. 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 Sugarmade
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Sugarmade. 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.
For every potential investor in Sugarmade, whether a beginner or expert, Sugarmade's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Sugarmade Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Sugarmade. Basic forecasting techniques help filter out the noise by identifying Sugarmade's price trends.
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 Sugarmade pink sheet to make a market-neutral strategy. Peer analysis of Sugarmade could also be used in its relative valuation, which is a method of valuing Sugarmade by comparing valuation metrics with similar companies.
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 Sugarmade'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 Sugarmade's current price.
Market strength indicators help investors to evaluate how Sugarmade 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 Sugarmade shares will generate the highest return on investment. By undertsting and applying Sugarmade pink sheet market strength indicators, traders can identify Sugarmade entry and exit signals to maximize returns.
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.
Other Information on Investing in Sugarmade Pink Sheet
Sugarmade financial ratios help investors to determine whether Sugarmade Pink Sheet is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Sugarmade with respect to the benefits of owning Sugarmade security.