Radware Stock Forecast - Simple Regression

RDWR Stock  USD 18.54  0.21  1.12%   
The Simple Regression forecasted value of Radware on the next trading day is expected to be 19.17 with a mean absolute deviation of 1.15 and the sum of the absolute errors of 71.04. Radware Stock Forecast is based on your current time horizon. Although Radware's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Radware's systematic risk associated with finding meaningful patterns of Radware fundamentals over time.
  
At this time, Radware's Payables Turnover is relatively stable compared to the past year. As of 06/12/2024, Receivables Turnover is likely to grow to 13.54, while Inventory Turnover is likely to drop 2.17. . As of 06/12/2024, Common Stock Shares Outstanding is likely to grow to about 44.5 M, though Net Loss is likely to grow to (141.9 K).

Open Interest Against 2024-06-21 Radware Option Contracts

Although open interest is a measure utilized in the options markets, it could be used to forecast Radware'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 Radware's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Radware 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 Radware's open interest, investors have to compare it to Radware'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 Radware 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 Radware. 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 Radware 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 Radware's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Radware'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 Radware 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.

Radware Simple Regression Price Forecast For the 13th of June 2024

Given 90 days horizon, the Simple Regression forecasted value of Radware on the next trading day is expected to be 19.17 with a mean absolute deviation of 1.15, mean absolute percentage error of 1.62, and the sum of the absolute errors of 71.04.
Please note that although there have been many attempts to predict Radware 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 Radware's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Radware Stock Forecast Pattern

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Radware Forecasted Value

In the context of forecasting Radware'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. Radware's downside and upside margins for the forecasting period are 16.95 and 21.39, respectively. We have considered Radware'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
18.54
19.17
Expected Value
21.39
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 Radware stock data series using in forecasting. Note that when a statistical model is used to represent Radware 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 Criteria120.4294
BiasArithmetic mean of the errors None
MADMean absolute deviation1.1459
MAPEMean absolute percentage error0.0631
SAESum of the absolute errors71.0445
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 Radware 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 Radware

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Radware. 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 Radware'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
16.4118.6120.81
Details
Intrinsic
Valuation
LowRealHigh
16.2618.4620.66
Details
Bollinger
Band Projection (param)
LowMiddleHigh
15.9818.7621.53
Details
5 Analysts
Consensus
LowTargetHigh
16.8018.4620.49
Details

Other Forecasting Options for Radware

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

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

Radware 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 Radware'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 Radware's current price.

Radware Market Strength Events

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

Radware Risk Indicators

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

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Additional Tools for Radware Stock Analysis

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