SAMBA FOODS Stock Forecast - Simple Exponential Smoothing
| SAMBA Stock | 0.55 0.00 0.00% |
Momentum 0
Sell Peaked
Oversold | Overbought |
Using SAMBA FOODS hype-based prediction, you can estimate the value of SAMBA FOODS LIMITED from the perspective of SAMBA FOODS response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Exponential Smoothing forecasted value of SAMBA FOODS LIMITED on the next trading day is expected to be 0.55 with a mean absolute deviation of 0.00 and the sum of the absolute errors of 0.00. SAMBA FOODS after-hype prediction price | GHS 0.55 |
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 stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
SAMBA |
SAMBA FOODS Additional Predictive Modules
Most predictive techniques to examine SAMBA price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for SAMBA using various technical indicators. When you analyze SAMBA 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 |
SAMBA FOODS Simple Exponential Smoothing Price Forecast For the 25th of January
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of SAMBA FOODS LIMITED on the next trading day is expected to be 0.55 with a mean absolute deviation of 0.00, mean absolute percentage error of 0.00, and the sum of the absolute errors of 0.00.Please note that although there have been many attempts to predict SAMBA 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 SAMBA FOODS's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
SAMBA FOODS Stock Forecast Pattern
SAMBA FOODS Forecasted Value
In the context of forecasting SAMBA FOODS's 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. SAMBA FOODS's downside and upside margins for the forecasting period are 0.55 and 0.55, respectively. We have considered SAMBA FOODS'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 Simple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of SAMBA FOODS stock data series using in forecasting. Note that when a statistical model is used to represent SAMBA FOODS 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 | -9.223372036854776E14 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0 |
| MAPE | Mean absolute percentage error | 0.0 |
| SAE | Sum of the absolute errors | 0.0 |
Predictive Modules for SAMBA FOODS
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as SAMBA FOODS LIMITED. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the 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.Please note, it is not enough to conduct a financial or market analysis of a single entity such as SAMBA FOODS. Your research has to be compared to or analyzed against SAMBA FOODS's peers to derive any actionable benefits. When done correctly, SAMBA FOODS's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in SAMBA FOODS LIMITED.SAMBA FOODS Estimiated After-Hype Price Prediction Volatility
As far as predicting the price of SAMBA FOODS 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 SAMBA FOODS 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 Stock prices, such as prices of SAMBA FOODS, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
SAMBA FOODS Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as SAMBA FOODS is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading SAMBA FOODS 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 Stock 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 SAMBA FOODS, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.00 | 0.00 | 0.00 | 0.00 | 0 Events / Month | 0 Events / Month | Within a week |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
0.55 | 0.55 | 0.00 |
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SAMBA FOODS Hype Timeline
SAMBA FOODS LIMITED is at this time traded for 0.55on Ghana Stock Exchange of Ghana. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. SAMBA 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 at this time at 0.0%. %. The volatility of related hype on SAMBA FOODS is about 0.0%, with the expected price after the next announcement by competition of 0.55. Assuming the 90 days trading horizon the next expected press release will be within a week. 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 nation.SAMBA FOODS Related Hype Analysis
Having access to credible news sources related to SAMBA FOODS's direct competition is more important than ever and may enhance your ability to predict SAMBA FOODS's future price movements. Getting to know how SAMBA FOODS'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 SAMBA FOODS may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| RBGH | REPUBLIC BANK LIMITED | 0.00 | 0 per month | 0.00 | 0.03 | 0.00 | 0.00 | 4.00 | |
| ACCESS | ACCESS BANK GHANA | 0.00 | 0 per month | 0.00 | (0.60) | 0.00 | 0.00 | 0.80 | |
| ASG | ASHANTE GOLD PORATION | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| DIGICUT | DIGICUT ADVERTISING PRODUCTION | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| CMLT | CAMELOT GHANA LTD | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| SCB | STANDARD CHARTERED BANK | 0.00 | 0 per month | 0.00 | (1.27) | 0.07 | 0.00 | 0.34 | |
| MTNGH | MTN GHANA LTD | 0.00 | 0 per month | 0.00 | (0.19) | 0.47 | (1.19) | 5.91 | |
| AADS | ANGLOGOLD ASHANTI GHANIAN | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| SCB-PREF | STANDARD CHARTERED BANK | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| GGBL | GUINNESS GHANA BREWERIES | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
Other Forecasting Options for SAMBA FOODS
For every potential investor in SAMBA, whether a beginner or expert, SAMBA FOODS's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. SAMBA Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in SAMBA. Basic forecasting techniques help filter out the noise by identifying SAMBA FOODS's price trends.SAMBA FOODS 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 SAMBA FOODS stock to make a market-neutral strategy. Peer analysis of SAMBA FOODS could also be used in its relative valuation, which is a method of valuing SAMBA FOODS by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
SAMBA FOODS Market Strength Events
Market strength indicators help investors to evaluate how SAMBA FOODS stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading SAMBA FOODS shares will generate the highest return on investment. By undertsting and applying SAMBA FOODS stock market strength indicators, traders can identify SAMBA FOODS LIMITED entry and exit signals to maximize returns.
Story Coverage note for SAMBA FOODS
The number of cover stories for SAMBA FOODS depends on current market conditions and SAMBA FOODS's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that SAMBA FOODS 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 SAMBA FOODS'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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