Uni Fuels Stock Forecast - Simple Exponential Smoothing
| UFG Stock | 0.68 0.03 4.23% |
The Simple Exponential Smoothing forecasted value of Uni Fuels Holdings Limited on the next trading day is expected to be 0.68 with a mean absolute deviation of 0.05 and the sum of the absolute errors of 3.27. Uni Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Uni Fuels' historical fundamentals, such as revenue growth or operating cash flow patterns.
At this time, Uni Fuels' Payables Turnover is most likely to drop slightly in the upcoming years. The Uni Fuels' current Receivables Turnover is estimated to increase to 17.30, while Fixed Asset Turnover is projected to decrease to 181.92. . The current Common Stock Shares Outstanding is estimated to decrease to about 24.6 M. Uni Fuels Simple Exponential Smoothing Price Forecast For the 1st of January
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Uni Fuels Holdings Limited on the next trading day is expected to be 0.68 with a mean absolute deviation of 0.05, mean absolute percentage error of 0.01, and the sum of the absolute errors of 3.27.Please note that although there have been many attempts to predict Uni 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 Uni Fuels' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Uni Fuels Stock Forecast Pattern
| Backtest Uni Fuels | Uni Fuels Price Prediction | Buy or Sell Advice |
Uni Fuels Forecasted Value
In the context of forecasting Uni Fuels' 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. Uni Fuels' downside and upside margins for the forecasting period are 0.01 and 8.34, respectively. We have considered Uni Fuels' 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 Uni Fuels stock data series using in forecasting. Note that when a statistical model is used to represent Uni Fuels 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 | 111.1224 |
| Bias | Arithmetic mean of the errors | 0.0095 |
| MAD | Mean absolute deviation | 0.0545 |
| MAPE | Mean absolute percentage error | 0.0551 |
| SAE | Sum of the absolute errors | 3.27 |
Predictive Modules for Uni Fuels
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Uni Fuels Holdings. 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.Other Forecasting Options for Uni Fuels
For every potential investor in Uni, whether a beginner or expert, Uni Fuels' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Uni Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Uni. Basic forecasting techniques help filter out the noise by identifying Uni Fuels' price trends.Uni Fuels 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 Uni Fuels stock to make a market-neutral strategy. Peer analysis of Uni Fuels could also be used in its relative valuation, which is a method of valuing Uni Fuels by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Uni Fuels Holdings Technical and Predictive Analytics
The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Uni Fuels' 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 Uni Fuels' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Uni Fuels Market Strength Events
Market strength indicators help investors to evaluate how Uni Fuels stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Uni Fuels shares will generate the highest return on investment. By undertsting and applying Uni Fuels stock market strength indicators, traders can identify Uni Fuels Holdings Limited entry and exit signals to maximize returns.
Uni Fuels Risk Indicators
The analysis of Uni Fuels' 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 Uni Fuels' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting uni 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 | 6.87 | |||
| Standard Deviation | 12.35 | |||
| Variance | 152.62 |
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.
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Check out Historical Fundamental Analysis of Uni Fuels to cross-verify your projections. You can also try the Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
Is Oil & Gas Storage & Transportation space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Uni Fuels. If investors know Uni will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Uni Fuels listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth (0.17) | Earnings Share 0.01 | Revenue Per Share | Quarterly Revenue Growth 0.545 | Return On Assets |
The market value of Uni Fuels Holdings is measured differently than its book value, which is the value of Uni that is recorded on the company's balance sheet. Investors also form their own opinion of Uni Fuels' value that differs from its market value or its book value, called intrinsic value, which is Uni Fuels' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Uni Fuels' market value can be influenced by many factors that don't directly affect Uni Fuels' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Uni Fuels' value and its price as these two are different measures arrived at by different means. Investors typically determine if Uni Fuels is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Uni Fuels' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.