Landstar System Stock Forecast - Simple Regression

LSTR Stock  USD 146.63  0.39  0.27%   
The Simple Regression forecasted value of Landstar System on the next trading day is expected to be 149.81 with a mean absolute deviation of 3.44 and the sum of the absolute errors of 209.94. Landstar Stock Forecast is based on your current time horizon. Although Landstar System's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Landstar System's systematic risk associated with finding meaningful patterns of Landstar System fundamentals over time.
  
At this time, Landstar System's Payables Turnover is relatively stable compared to the past year. As of 03/21/2025, Receivables Turnover is likely to grow to 7.32, while Inventory Turnover is likely to drop 341.52. . As of 03/21/2025, Common Stock Shares Outstanding is likely to grow to about 47.9 M. Also, Net Income Applicable To Common Shares is likely to grow to about 520.3 M.

Open Interest Against 2025-04-17 Landstar Option Contracts

Although open interest is a measure utilized in the options markets, it could be used to forecast Landstar System's spot prices because the number of available contracts in the market changes daily, and new contracts can be created or liquidated at will. Since open interest in Landstar System's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Landstar System stock based on available contracts left at the end of a trading day.
Please note that to derive more accurate forecasting about market movement from the current Landstar System's open interest, investors have to compare it to Landstar System's spot prices. As Ford's stock price increases, high open interest indicates that money is entering the market, and the market is strongly bullish. Conversely, if the price of Landstar System is decreasing and there is high open interest, that is a sign that the bearish trend will continue, and investors may react by taking short positions in Landstar. So, decreasing or low open interest during a bull market indicates that investors are becoming uncertain of the depth of the bullish trend, and a reversal in sentiment will likely follow.
Simple Regression model is a single variable regression model that attempts to put a straight line through Landstar System price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

Landstar System Simple Regression Price Forecast For the 22nd of March

Given 90 days horizon, the Simple Regression forecasted value of Landstar System on the next trading day is expected to be 149.81 with a mean absolute deviation of 3.44, mean absolute percentage error of 18.24, and the sum of the absolute errors of 209.94.
Please note that although there have been many attempts to predict Landstar 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 Landstar System's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Landstar System Stock Forecast Pattern

Backtest Landstar SystemLandstar System Price PredictionBuy or Sell Advice 

Landstar System Forecasted Value

In the context of forecasting Landstar System'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. Landstar System's downside and upside margins for the forecasting period are 148.31 and 151.31, respectively. We have considered Landstar System'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
146.63
148.31
Downside
149.81
Expected Value
151.31
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of Landstar System stock data series using in forecasting. Note that when a statistical model is used to represent Landstar System 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 Criteria121.014
BiasArithmetic mean of the errors None
MADMean absolute deviation3.4417
MAPEMean absolute percentage error0.0207
SAESum of the absolute errors209.941
In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as Landstar System historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Predictive Modules for Landstar System

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Landstar System. 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Landstar System's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
145.12146.62148.12
Details
Intrinsic
Valuation
LowRealHigh
131.97161.56163.06
Details
Bollinger
Band Projection (param)
LowMiddleHigh
144.37153.77163.17
Details
17 Analysts
Consensus
LowTargetHigh
153.59168.79187.35
Details

Other Forecasting Options for Landstar System

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

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

Landstar System 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 Landstar System'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 Landstar System's current price.

Landstar System Market Strength Events

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

Landstar System Risk Indicators

The analysis of Landstar System'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 Landstar System's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting landstar 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 Landstar System

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 Landstar System 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 Landstar System will appreciate offsetting losses from the drop in the long position's value.

Moving together with Landstar Stock

  0.89FDX FedExPairCorr
  0.8GXO GXO LogisticsPairCorr

Moving against Landstar Stock

  0.78AIRTP Air T Inc Potential GrowthPairCorr
  0.7ATXG Addentax Group CorpPairCorr
  0.7PBI-PB Pitney Bowes NTPairCorr
  0.67JYD Jayud Global Logistics Upward RallyPairCorr
  0.54ZTO ZTO ExpressPairCorr
The ability to find closely correlated positions to Landstar System could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Landstar System 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 Landstar System - 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 Landstar System to buy it.
The correlation of Landstar System 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 Landstar System moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Landstar System 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 Landstar System 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

Additional Tools for Landstar Stock Analysis

When running Landstar System's price analysis, check to measure Landstar System'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 Landstar System is operating at the current time. Most of Landstar System's value examination focuses on studying past and present price action to predict the probability of Landstar System's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Landstar System's price. Additionally, you may evaluate how the addition of Landstar System to your portfolios can decrease your overall portfolio volatility.