Tingo OTC Stock Forecast - Double Exponential Smoothing
| TIOG Stock | 0 0 60.00% |
Momentum 46
Impartial
Oversold | Overbought |
It is a matter of debate whether otc price prediction based on information in financial news can generate a strong buy or sell signal. We use our internally-built news screening methodology to estimate the value of Tingo based on different types of headlines from major news networks to social media. Using Tingo hype-based prediction, you can estimate the value of Tingo Group from the perspective of Tingo response to recently generated media hype and the effects of current headlines on its competitors.
The Double Exponential Smoothing forecasted value of Tingo Group on the next trading day is expected to be 0 with a mean absolute deviation of 0.01 and the sum of the absolute errors of 0.39. Tingo after-hype prediction price | USD 0.001912 |
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 otc price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Tingo |
Tingo Additional Predictive Modules
Most predictive techniques to examine Tingo price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Tingo using various technical indicators. When you analyze Tingo 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.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Tingo Double Exponential Smoothing Price Forecast For the 2nd of January
Given 90 days horizon, the Double Exponential Smoothing forecasted value of Tingo Group on the next trading day is expected to be 0 with a mean absolute deviation of 0.01, mean absolute percentage error of 0.0001, and the sum of the absolute errors of 0.39.Please note that although there have been many attempts to predict Tingo OTC Stock 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 Tingo's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Tingo OTC Stock Forecast Pattern
Tingo Forecasted Value
In the context of forecasting Tingo's OTC Stock 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. Tingo's downside and upside margins for the forecasting period are 0.00002 and 97.49, respectively. We have considered Tingo'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.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Tingo otc stock data series using in forecasting. Note that when a statistical model is used to represent Tingo otc stock, 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 | Huge |
| Bias | Arithmetic mean of the errors | 0.0015 |
| MAD | Mean absolute deviation | 0.0066 |
| MAPE | Mean absolute percentage error | 0.9789 |
| SAE | Sum of the absolute errors | 0.3897 |
Predictive Modules for Tingo
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Tingo Group. Regardless of method or technology, however, to accurately forecast the otc stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the otc stock 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.Other Forecasting Options for Tingo
For every potential investor in Tingo, whether a beginner or expert, Tingo's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Tingo OTC Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Tingo. Basic forecasting techniques help filter out the noise by identifying Tingo's price trends.Tingo 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 Tingo otc stock to make a market-neutral strategy. Peer analysis of Tingo could also be used in its relative valuation, which is a method of valuing Tingo by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Tingo Group Technical and Predictive Analytics
The otc stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Tingo'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 Tingo's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Tingo Market Strength Events
Market strength indicators help investors to evaluate how Tingo otc stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Tingo shares will generate the highest return on investment. By undertsting and applying Tingo otc stock market strength indicators, traders can identify Tingo Group entry and exit signals to maximize returns.
Tingo Risk Indicators
The analysis of Tingo'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 Tingo's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting tingo otc stock 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 Deviation | 61.98 | |||
| Semi Deviation | 36.27 | |||
| Standard Deviation | 97.49 | |||
| Variance | 9504.53 | |||
| Downside Variance | 2925.28 | |||
| Semi Variance | 1315.41 | |||
| Expected Short fall | (118.44) |
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.