Twin Hospitality Stock Forecast - Simple Exponential Smoothing
| TWNP Stock | 0.77 0.03 3.75% |
The Simple Exponential Smoothing forecasted value of Twin Hospitality Group on the next trading day is expected to be 0.77 with a mean absolute deviation of 0.13 and the sum of the absolute errors of 7.85. Twin Stock Forecast is based on your current time horizon. Although Twin Hospitality's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Twin Hospitality's systematic risk associated with finding meaningful patterns of Twin Hospitality fundamentals over time.
As of 12/27/2025, Payables Turnover is likely to grow to 16.78. Also, Receivables Turnover is likely to grow to 145.24. As of 12/27/2025, Common Stock Shares Outstanding is likely to drop to about 40.1 M. Twin Hospitality Simple Exponential Smoothing Price Forecast For the 28th of December
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Twin Hospitality Group on the next trading day is expected to be 0.77 with a mean absolute deviation of 0.13, mean absolute percentage error of 0.05, and the sum of the absolute errors of 7.85.Please note that although there have been many attempts to predict Twin 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 Twin Hospitality's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Twin Hospitality Stock Forecast Pattern
| Backtest Twin Hospitality | Twin Hospitality Price Prediction | Buy or Sell Advice |
Twin Hospitality Forecasted Value
In the context of forecasting Twin Hospitality'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. Twin Hospitality's downside and upside margins for the forecasting period are 0.01 and 8.09, respectively. We have considered Twin Hospitality'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 Twin Hospitality stock data series using in forecasting. Note that when a statistical model is used to represent Twin Hospitality 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 | 113.3252 |
| Bias | Arithmetic mean of the errors | 0.0558 |
| MAD | Mean absolute deviation | 0.1308 |
| MAPE | Mean absolute percentage error | 0.0593 |
| SAE | Sum of the absolute errors | 7.85 |
Predictive Modules for Twin Hospitality
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Twin Hospitality. 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 Twin Hospitality
For every potential investor in Twin, whether a beginner or expert, Twin Hospitality's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Twin Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Twin. Basic forecasting techniques help filter out the noise by identifying Twin Hospitality's price trends.Twin Hospitality 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 Twin Hospitality stock to make a market-neutral strategy. Peer analysis of Twin Hospitality could also be used in its relative valuation, which is a method of valuing Twin Hospitality by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Twin Hospitality 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 Twin Hospitality'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 Twin Hospitality's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Twin Hospitality Market Strength Events
Market strength indicators help investors to evaluate how Twin Hospitality stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Twin Hospitality shares will generate the highest return on investment. By undertsting and applying Twin Hospitality stock market strength indicators, traders can identify Twin Hospitality Group entry and exit signals to maximize returns.
Twin Hospitality Risk Indicators
The analysis of Twin Hospitality'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 Twin Hospitality's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting twin 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 | 4.94 | |||
| Standard Deviation | 7.23 | |||
| Variance | 52.28 |
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.
Pair Trading with Twin Hospitality
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Twin Hospitality position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Twin Hospitality will appreciate offsetting losses from the drop in the long position's value.Moving together with Twin Stock
Moving against Twin Stock
| 0.91 | FSTA | Fuller Smith Turner | PairCorr |
| 0.86 | SGR | The Star Entertainment | PairCorr |
| 0.75 | DNUT | Krispy Kreme | PairCorr |
| 0.74 | RFG | Retail Food Group | PairCorr |
| 0.66 | QSR | Restaurant Brands | PairCorr |
The ability to find closely correlated positions to Twin Hospitality could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Twin Hospitality when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Twin Hospitality - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Twin Hospitality Group to buy it.
The correlation of Twin Hospitality is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Twin Hospitality moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Twin Hospitality moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Twin Hospitality can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Additional Tools for Twin Stock Analysis
When running Twin Hospitality's price analysis, check to measure Twin Hospitality'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 Twin Hospitality is operating at the current time. Most of Twin Hospitality's value examination focuses on studying past and present price action to predict the probability of Twin Hospitality's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Twin Hospitality's price. Additionally, you may evaluate how the addition of Twin Hospitality to your portfolios can decrease your overall portfolio volatility.