Sibannac Pink Sheet Forecast - Naive Prediction

SNNC Stock  USD 0.01  0.01  31.76%   
The Naive Prediction forecasted value of Sibannac on the next trading day is expected to be 0.01 with a mean absolute deviation of 0 and the sum of the absolute errors of 0.1. Sibannac Pink Sheet Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Sibannac stock prices and determine the direction of Sibannac's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Sibannac's historical fundamentals, such as revenue growth or operating cash flow patterns.
At the present time the relative strength index (rsi) of Sibannac's share price is below 20 . This usually implies 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 Sibannac's future price could yield a significant profit. We analyze noise-free headlines and recent hype associated with Sibannac, which may create opportunities for some arbitrage if properly timed.
Using Sibannac hype-based prediction, you can estimate the value of Sibannac from the perspective of Sibannac response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of Sibannac on the next trading day is expected to be 0.01 with a mean absolute deviation of 0 and the sum of the absolute errors of 0.1.

Sibannac after-hype prediction price

    
  USD 0.01  
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 Historical Fundamental Analysis of Sibannac to cross-verify your projections.

Sibannac Additional Predictive Modules

Most predictive techniques to examine Sibannac price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Sibannac using various technical indicators. When you analyze Sibannac 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 Sibannac is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Sibannac 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.

Sibannac Naive Prediction Price Forecast For the 24th of January

Given 90 days horizon, the Naive Prediction forecasted value of Sibannac on the next trading day is expected to be 0.01 with a mean absolute deviation of 0, mean absolute percentage error of 0.00000452, and the sum of the absolute errors of 0.1.
Please note that although there have been many attempts to predict Sibannac 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 Sibannac's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Sibannac Pink Sheet Forecast Pattern

Backtest SibannacSibannac Price PredictionBuy or Sell Advice 

Sibannac Forecasted Value

In the context of forecasting Sibannac'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. Sibannac's downside and upside margins for the forecasting period are 0.0001 and 14.17, respectively. We have considered Sibannac'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.
Market Value
0.01
0.0001
Downside
0.01
Expected Value
14.17
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 Sibannac pink sheet data series using in forecasting. Note that when a statistical model is used to represent Sibannac 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 Criteria105.8025
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0016
MAPEMean absolute percentage error0.1145
SAESum of the absolute errors0.1
This model is not at all useful as a medium-long range forecasting tool of Sibannac. 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 Sibannac. 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 Sibannac

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Sibannac. 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
0.000.0113.90
Details
Intrinsic
Valuation
LowRealHigh
0.000.0113.90
Details

Sibannac After-Hype Price Prediction Density Analysis

As far as predicting the price of Sibannac at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Sibannac or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Pink Sheet prices, such as prices of Sibannac, with the unreliable approximations that try to describe financial returns.
   Next price density   
       Expected price to next headline  

Sibannac Estimiated After-Hype Price Volatility

In the context of predicting Sibannac's pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Sibannac's historical news coverage. Sibannac's after-hype downside and upside margins for the prediction period are 0.00 and 13.90, respectively. We have considered Sibannac's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
0.01
0.01
After-hype Price
13.90
Upside
Sibannac is out of control at this time. Analysis and calculation of next after-hype price of Sibannac is based on 3 months time horizon.

Sibannac Pink Sheet Price Prediction Analysis

Have you ever been surprised when a price of a Company such as Sibannac is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Sibannac backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Pink Sheet price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Sibannac, there might be something going there, and it might present an excellent short sale opportunity.
Expected ReturnPeriod VolatilityHype ElasticityRelated ElasticityNews DensityRelated DensityExpected Hype
  0.52 
14.16
 0.00  
 0.00  
0 Events / Month
0 Events / Month
Within a week
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility
0.01
0.01
13.79 
0.00  
Notes

Sibannac Hype Timeline

Sibannac is at this time traded for 0.01. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Sibannac is estimated to decline in value after the next headline, with the price expected to drop to 0.01. The average volatility of media hype impact on the company price is insignificant. The price decrease on the next news is expected to be -13.79%, whereas the daily expected return is at this time at 0.52%. The volatility of related hype on Sibannac is about 350495.05%, with the expected price after the next announcement by competition of 0.01. About 20.0% of the company outstanding shares are owned by corporate insiders. The company recorded a loss per share of 0.02. Sibannac had not issued any dividends in recent years. Given the investment horizon of 90 days the next estimated press release will be within a week.
Check out Historical Fundamental Analysis of Sibannac to cross-verify your projections.

Sibannac Related Hype Analysis

Having access to credible news sources related to Sibannac's direct competition is more important than ever and may enhance your ability to predict Sibannac's future price movements. Getting to know how Sibannac's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Sibannac may potentially react to the hype associated with one of its peers.
Hype
Elasticity
News
Density
Semi
Deviation
Information
Ratio
Potential
Upside
Value
At Risk
Maximum
Drawdown
STSNStemsation International 0.00 0 per month 0.00  0.00  0.00  0.00  0.00 
CSTFCuraScientific Corp 0.00 0 per month 0.00  0.00  0.00  0.00  0.00 
LVTTFLevitee Labs 0.00 0 per month 0.00  0.00  0.00  0.00  0.00 
INSOIndustry Source Consulting 0.00 0 per month 0.00  0.00  0.00  0.00  0.00 
CNNXFCannamerica Brands Corp 0.00 0 per month 0.00  0.00  0.00  0.00  0.00 
SKYISky Century Investment 0.00 0 per month 0.00  0.15  27.78 (5.88) 205.56 
GBHPFGlobal Hemp Group 0.00 0 per month 15.94  0.13  113.46 (53.15) 257.96 
MGWFFMaple Leaf Green 0.00 0 per month 23.14  0.22  400.00 (60.87) 773.67 
ERBBAmerican Green 0.04 2 per month 14.58  0.11  50.00 (33.33) 83.33 
GRVEGroove Botanicals 0.00 0 per month 6.40  0.15  31.15 (12.37) 183.29 

Other Forecasting Options for Sibannac

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

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

Sibannac Market Strength Events

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

Sibannac Risk Indicators

The analysis of Sibannac'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 Sibannac's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting sibannac 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.

Story Coverage note for Sibannac

The number of cover stories for Sibannac depends on current market conditions and Sibannac's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Sibannac is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Sibannac's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.

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Other Information on Investing in Sibannac Pink Sheet

Sibannac financial ratios help investors to determine whether Sibannac 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 Sibannac with respect to the benefits of owning Sibannac security.