GoLogiq Pink Sheet Forecast - Naive Prediction

GOLQ Stock  USD 0.10  0.1  99,900%   
The Naive Prediction forecasted value of GoLogiq on the next trading day is expected to be 0.15 with a mean absolute deviation of 0.02 and the sum of the absolute errors of 1.14. GoLogiq Pink Sheet Forecast is based on your current time horizon.
As of today the relative strength index (rsi) of GoLogiq's share price is below 20 . This usually indicates 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 GoLogiq's future price could yield a significant profit. We analyze noise-free headlines and recent hype associated with GoLogiq, which may create opportunities for some arbitrage if properly timed.
Using GoLogiq hype-based prediction, you can estimate the value of GoLogiq from the perspective of GoLogiq response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of GoLogiq on the next trading day is expected to be 0.15 with a mean absolute deviation of 0.02 and the sum of the absolute errors of 1.14.

GoLogiq after-hype prediction price

    
  USD 0.1  
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 GoLogiq to cross-verify your projections.

GoLogiq Additional Predictive Modules

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

GoLogiq Naive Prediction Price Forecast For the 24th of January

Given 90 days horizon, the Naive Prediction forecasted value of GoLogiq on the next trading day is expected to be 0.15 with a mean absolute deviation of 0.02, mean absolute percentage error of 0.0006, and the sum of the absolute errors of 1.14.
Please note that although there have been many attempts to predict GoLogiq 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 GoLogiq's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

GoLogiq Pink Sheet Forecast Pattern

Backtest GoLogiqGoLogiq Price PredictionBuy or Sell Advice 

GoLogiq Forecasted Value

In the context of forecasting GoLogiq'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. GoLogiq's downside and upside margins for the forecasting period are 0 and 179.66, respectively. We have considered GoLogiq'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
0.10
0.15
Expected Value
179.66
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 GoLogiq pink sheet data series using in forecasting. Note that when a statistical model is used to represent GoLogiq 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 Criteria112.5603
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0183
MAPEMean absolute percentage error55.2385
SAESum of the absolute errors1.1353
This model is not at all useful as a medium-long range forecasting tool of GoLogiq. 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 GoLogiq. 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 GoLogiq

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as GoLogiq. 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
0.010.1055.10
Details
Intrinsic
Valuation
LowRealHigh
0.000.0955.09
Details

GoLogiq After-Hype Price Prediction Density Analysis

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

GoLogiq Estimiated After-Hype Price Volatility

In the context of predicting GoLogiq's pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on GoLogiq's historical news coverage. GoLogiq's after-hype downside and upside margins for the prediction period are 0.01 and 55.10, respectively. We have considered GoLogiq'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
0.10
0.10
After-hype Price
55.10
Upside
GoLogiq is out of control at this time. Analysis and calculation of next after-hype price of GoLogiq is based on 3 months time horizon.

GoLogiq Pink Sheet Price Prediction Analysis

Have you ever been surprised when a price of a Company such as GoLogiq is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading GoLogiq 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 GoLogiq, there might be something going there, and it might present an excellent short sale opportunity.
Expected ReturnPeriod VolatilityHype ElasticityRelated ElasticityNews DensityRelated DensityExpected Hype
  29.17 
179.51
 0.00  
  0.55 
0 Events / Month
3 Events / Month
In a few days
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility
0.10
0.10
0.00 
0.00  
Notes

GoLogiq Hype Timeline

GoLogiq is currently traded for 0.10. The entity stock is not elastic to its hype. The average elasticity to hype of competition is -0.55. GoLogiq is expected 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 expected to be very small, whereas the daily expected return is currently at 29.17%. %. The volatility of related hype on GoLogiq is about 943796.0%, with the expected price after the next announcement by competition of -0.45. About 84.0% of the company shares are held by company insiders. The book value of GoLogiq was currently reported as 0.84. The company recorded a loss per share of 0.13. GoLogiq had not issued any dividends in recent years. Given the investment horizon of 90 days the next expected press release will be in a few days.
Check out Historical Fundamental Analysis of GoLogiq to cross-verify your projections.

GoLogiq Related Hype Analysis

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

Other Forecasting Options for GoLogiq

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

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

GoLogiq Market Strength Events

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

GoLogiq Risk Indicators

The analysis of GoLogiq'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 GoLogiq's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting gologiq 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.
Mean Deviation3562.45
Standard Deviation12534.85
Variance1.5712258157E8
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 GoLogiq

The number of cover stories for GoLogiq depends on current market conditions and GoLogiq's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that GoLogiq 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 GoLogiq'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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Additional Tools for GoLogiq Pink Sheet Analysis

When running GoLogiq's price analysis, check to measure GoLogiq's 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 GoLogiq is operating at the current time. Most of GoLogiq's value examination focuses on studying past and present price action to predict the probability of GoLogiq's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move GoLogiq's price. Additionally, you may evaluate how the addition of GoLogiq to your portfolios can decrease your overall portfolio volatility.