Vetanova Pink Sheet Forecast - Naive Prediction

VTNADelisted Stock  USD 0.0001  0.00  0.00%   
The Naive Prediction forecasted value of Vetanova on the next trading day is expected to be 0.0001 with a mean absolute deviation of 0 and the sum of the absolute errors of 0. Vetanova Pink Sheet Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Vetanova stock prices and determine the direction of Vetanova's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Vetanova's historical fundamentals, such as revenue growth or operating cash flow patterns.
At this time the relative strength index (rsi) of Vetanova's share price is below 20 . This entails 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 Vetanova's future price could yield a significant profit. We analyze noise-free headlines and recent hype associated with Vetanova, which may create opportunities for some arbitrage if properly timed.
Using Vetanova hype-based prediction, you can estimate the value of Vetanova from the perspective of Vetanova response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of Vetanova on the next trading day is expected to be 0.0001 with a mean absolute deviation of 0 and the sum of the absolute errors of 0.

Vetanova after-hype prediction price

    
  USD 1.0E-4  
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 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 employment.

Vetanova Additional Predictive Modules

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

Vetanova Naive Prediction Price Forecast For the 24th of January

Given 90 days horizon, the Naive Prediction forecasted value of Vetanova on the next trading day is expected to be 0.0001 with a mean absolute deviation of 0, 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 Vetanova 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 Vetanova's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Vetanova Pink Sheet Forecast Pattern

Backtest VetanovaVetanova 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 Vetanova pink sheet data series using in forecasting. Note that when a statistical model is used to represent Vetanova 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 Criteria30.385
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0
MAPEMean absolute percentage error0.0
SAESum of the absolute errors0.0
This model is not at all useful as a medium-long range forecasting tool of Vetanova. 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 Vetanova. 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 Vetanova

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Vetanova. 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
0.000.00010.00
Details
Intrinsic
Valuation
LowRealHigh
0.000.0000850.00
Details
Bollinger
Band Projection (param)
LowMiddleHigh
0.00010.00010.0001
Details

Vetanova After-Hype Price Prediction Density Analysis

As far as predicting the price of Vetanova 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 Vetanova 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 Vetanova, with the unreliable approximations that try to describe financial returns.
   Next price density   
       Expected price to next headline  

Vetanova Estimiated After-Hype Price Volatility

In the context of predicting Vetanova's pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Vetanova's historical news coverage. Vetanova's after-hype downside and upside margins for the prediction period are 0.00 and 0.00, respectively. We have considered Vetanova'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
0.0001
0.0001
After-hype Price
0.00
Upside
Vetanova is very steady at this time. Analysis and calculation of next after-hype price of Vetanova is based on 3 months time horizon.

Vetanova Pink Sheet Price Prediction Analysis

Have you ever been surprised when a price of a Company such as Vetanova is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Vetanova 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 Vetanova, there might be something going there, and it might present an excellent short sale opportunity.
Expected ReturnPeriod VolatilityHype ElasticityRelated ElasticityNews DensityRelated DensityExpected Hype
 0.00  
0.00
 0.00  
 0.00  
2 Events / Month
0 Events / Month
In a few days
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility
0.0001
0.0001
0.00 
0.00  
Notes

Vetanova Hype Timeline

Vetanova is at this time traded for 0.0001. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Vetanova is estimated not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is insignificant. The immediate return on the next news is estimated to be very small, whereas the daily expected return is at this time at 0.0%. %. The volatility of related hype on Vetanova is about 0.0%, with the expected price after the next announcement by competition of 0.00. About 51.0% of the company outstanding shares are owned by insiders. The company recorded a loss per share of 0.07. Vetanova last dividend was issued on the 27th of June 2018. The entity had 1:1000 split on the 27th of June 2018. Given the investment horizon of 90 days the next estimated press release will be in a few days.
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 employment.

Vetanova Related Hype Analysis

Having access to credible news sources related to Vetanova's direct competition is more important than ever and may enhance your ability to predict Vetanova's future price movements. Getting to know how Vetanova'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 Vetanova may potentially react to the hype associated with one of its peers.

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

Vetanova Market Strength Events

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

Story Coverage note for Vetanova

The number of cover stories for Vetanova depends on current market conditions and Vetanova's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Vetanova 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 Vetanova's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.

Other Macroaxis Stories

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Vetanova Short Properties

Vetanova's future price predictability will typically decrease when Vetanova's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Vetanova often depends not only on the future outlook of the potential Vetanova's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Vetanova's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding20 M
Short Long Term Debt313.8 K
Cash And Short Term Investments109 K
Shares Float89.5 M
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 employment.
You can also try the Odds Of Bankruptcy module to get analysis of equity chance of financial distress in the next 2 years.

Other Consideration for investing in Vetanova Pink Sheet

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