Fortress Transportation Stock Forecast - Polynomial Regression

FTAIO Stock  USD 25.46  0.05  0.20%   
The Polynomial Regression forecasted value of Fortress Transportation and on the next trading day is expected to be 25.21 with a mean absolute deviation of 0.19 and the sum of the absolute errors of 11.58. Fortress Stock Forecast is based on your current time horizon. Although Fortress Transportation's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Fortress Transportation's systematic risk associated with finding meaningful patterns of Fortress Transportation fundamentals over time.
  
As of the 26th of November 2024, Inventory Turnover is likely to grow to 2.23. Also, Payables Turnover is likely to grow to 6.63. As of the 26th of November 2024, Common Stock Shares Outstanding is likely to drop to about 84.7 M. In addition to that, Net Loss is likely to grow to about (188.4 M).
Fortress Transportation polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Fortress Transportation and as well as the accuracy indicators are determined from the period prices.

Fortress Transportation Polynomial Regression Price Forecast For the 27th of November

Given 90 days horizon, the Polynomial Regression forecasted value of Fortress Transportation and on the next trading day is expected to be 25.21 with a mean absolute deviation of 0.19, mean absolute percentage error of 0.06, and the sum of the absolute errors of 11.58.
Please note that although there have been many attempts to predict Fortress 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 Fortress Transportation's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Fortress Transportation Stock Forecast Pattern

Backtest Fortress TransportationFortress Transportation Price PredictionBuy or Sell Advice 

Fortress Transportation Forecasted Value

In the context of forecasting Fortress Transportation'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. Fortress Transportation's downside and upside margins for the forecasting period are 24.73 and 25.70, respectively. We have considered Fortress Transportation'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
25.46
25.21
Expected Value
25.70
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Fortress Transportation stock data series using in forecasting. Note that when a statistical model is used to represent Fortress Transportation 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.
AICAkaike Information Criteria115.2419
BiasArithmetic mean of the errors None
MADMean absolute deviation0.1898
MAPEMean absolute percentage error0.0073
SAESum of the absolute errors11.5753
A single variable polynomial regression model attempts to put a curve through the Fortress Transportation historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm

Predictive Modules for Fortress Transportation

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Fortress Transportation. 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.
Hype
Prediction
LowEstimatedHigh
24.9725.4625.95
Details
Intrinsic
Valuation
LowRealHigh
25.1125.6026.09
Details
Bollinger
Band Projection (param)
LowMiddleHigh
25.3825.4325.49
Details

Other Forecasting Options for Fortress Transportation

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

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

Fortress Transportation 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 Fortress Transportation'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 Fortress Transportation's current price.

Fortress Transportation Market Strength Events

Market strength indicators help investors to evaluate how Fortress Transportation stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Fortress Transportation shares will generate the highest return on investment. By undertsting and applying Fortress Transportation stock market strength indicators, traders can identify Fortress Transportation and entry and exit signals to maximize returns.

Fortress Transportation Risk Indicators

The analysis of Fortress Transportation'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 Fortress Transportation's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting fortress 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.
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 Fortress Transportation

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 Fortress Transportation 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 Fortress Transportation will appreciate offsetting losses from the drop in the long position's value.

Moving against Fortress Stock

  0.32MWG Multi Ways HoldingsPairCorr
The ability to find closely correlated positions to Fortress Transportation could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Fortress Transportation 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 Fortress Transportation - 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 Fortress Transportation and to buy it.
The correlation of Fortress Transportation 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 Fortress Transportation moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Fortress Transportation 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 Fortress Transportation 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.
Pair CorrelationCorrelation Matching

Other Information on Investing in Fortress Stock

Fortress Transportation financial ratios help investors to determine whether Fortress Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Fortress with respect to the benefits of owning Fortress Transportation security.