CSX Stock Forecast - Simple Regression
| CSX Stock | USD 33.03 0.42 1.29% |
The Simple Regression forecasted value of CSX Corporation on the next trading day is expected to be 32.16 with a mean absolute deviation of 0.43 and the sum of the absolute errors of 25.98. CSX Stock Forecast is based on your current time horizon.
CSX |
Open Interest Against 2024-06-21 CSX Option Contracts
Although open interest is a measure utilized in the options markets, it could be used to forecast CSX'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 CSX's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for CSX 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 CSX's open interest, investors have to compare it to CSX'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 CSX 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 CSX. 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.
Most investors in CSX cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the CSX's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets CSX's price structures and extracts relationships that further increase the generated results' accuracy.
Simple Regression model is a single variable regression model that attempts to put a straight line through CSX 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. CSX Simple Regression Price Forecast For the 20th of June
Given 90 days horizon, the Simple Regression forecasted value of CSX Corporation on the next trading day is expected to be 32.16 with a mean absolute deviation of 0.43, mean absolute percentage error of 0.30, and the sum of the absolute errors of 25.98.Please note that although there have been many attempts to predict CSX 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 CSX's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
CSX Stock Forecast Pattern
| Backtest CSX | CSX Price Prediction | Buy or Sell Advice |
CSX Forecasted Value
In the context of forecasting CSX'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. CSX's downside and upside margins for the forecasting period are 31.08 and 33.24, respectively. We have considered CSX'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 Regression forecasting method's relative quality and the estimations of the prediction error of CSX stock data series using in forecasting. Note that when a statistical model is used to represent CSX 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 | 116.9046 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.4259 |
| MAPE | Mean absolute percentage error | 0.0124 |
| SAE | Sum of the absolute errors | 25.9794 |
Predictive Modules for CSX
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as CSX Corporation. 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 CSX'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.
Other Forecasting Options for CSX
For every potential investor in CSX, whether a beginner or expert, CSX's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. CSX Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in CSX. Basic forecasting techniques help filter out the noise by identifying CSX's price trends.CSX 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 CSX stock to make a market-neutral strategy. Peer analysis of CSX could also be used in its relative valuation, which is a method of valuing CSX by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
CSX Corporation 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 CSX'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 CSX's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
CSX Market Strength Events
Market strength indicators help investors to evaluate how CSX stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading CSX shares will generate the highest return on investment. By undertsting and applying CSX stock market strength indicators, traders can identify CSX Corporation entry and exit signals to maximize returns.
CSX Risk Indicators
The analysis of CSX'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 CSX's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting csx 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 | 0.8754 | |||
| Standard Deviation | 1.1 | |||
| Variance | 1.2 |
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.
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Additional Tools for CSX Stock Analysis
When running CSX's price analysis, check to measure CSX'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 CSX is operating at the current time. Most of CSX's value examination focuses on studying past and present price action to predict the probability of CSX's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move CSX's price. Additionally, you may evaluate how the addition of CSX to your portfolios can decrease your overall portfolio volatility.