Russel Metals Stock Forecast - Simple Exponential Smoothing

RUS Stock  CAD 44.76  0.23  0.51%   
The Simple Exponential Smoothing forecasted value of Russel Metals on the next trading day is expected to be 44.76 with a mean absolute deviation of 0.38 and the sum of the absolute errors of 23.34. Russel Stock Forecast is based on your current time horizon. Although Russel Metals' naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Russel Metals' systematic risk associated with finding meaningful patterns of Russel Metals fundamentals over time.
As of today the relative strength index (rsi) of Russel Metals' share price is below 20 indicating that the stock is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards.

Momentum 0

 Sell Peaked

 
Oversold
 
Overbought
The successful prediction of Russel Metals' future price could yield a significant profit. We analyze noise-free headlines and recent hype associated with Russel Metals, which may create opportunities for some arbitrage if properly timed. Below are the key fundamental drivers impacting Russel Metals' stock price prediction:
Quarterly Earnings Growth
0.062
EPS Estimate Next Quarter
0.8233
EPS Estimate Current Year
2.99
EPS Estimate Next Year
3.6343
Wall Street Target Price
49.8571
Using Russel Metals hype-based prediction, you can estimate the value of Russel Metals from the perspective of Russel Metals response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Exponential Smoothing forecasted value of Russel Metals on the next trading day is expected to be 44.76 with a mean absolute deviation of 0.38 and the sum of the absolute errors of 23.34.

Russel Metals after-hype prediction price

    
  CAD 44.77  
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
  
Check out Historical Fundamental Analysis of Russel Metals to cross-verify your projections.
At this time, Russel Metals' Inventory Turnover is very stable compared to the past year. As of the 8th of January 2026, Fixed Asset Turnover is likely to grow to 9.10, while Payables Turnover is likely to drop 8.28. . As of the 8th of January 2026, Common Stock Shares Outstanding is likely to drop to about 62.4 M. In addition to that, Net Income Applicable To Common Shares is likely to drop to about 170.3 M.

Russel Metals Additional Predictive Modules

Most predictive techniques to examine Russel price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Russel using various technical indicators. When you analyze Russel charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
Russel Metals simple exponential smoothing forecast is a very popular model used to produce a smoothed price series. Whereas in simple Moving Average models the past observations for Russel Metals are weighted equally, Exponential Smoothing assigns exponentially decreasing weights as Russel Metals prices get older.

Russel Metals Simple Exponential Smoothing Price Forecast For the 9th of January

Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Russel Metals on the next trading day is expected to be 44.76 with a mean absolute deviation of 0.38, mean absolute percentage error of 0.26, and the sum of the absolute errors of 23.34.
Please note that although there have been many attempts to predict Russel 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 Russel Metals' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Russel Metals Stock Forecast Pattern

Backtest Russel MetalsRussel Metals Price PredictionBuy or Sell Advice 

Russel Metals Forecasted Value

In the context of forecasting Russel Metals' 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. Russel Metals' downside and upside margins for the forecasting period are 43.52 and 46.00, respectively. We have considered Russel Metals' 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
44.76
44.76
Expected Value
46.00
Upside

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 Russel Metals stock data series using in forecasting. Note that when a statistical model is used to represent Russel Metals 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 Criteria116.7689
BiasArithmetic mean of the errors -0.0626
MADMean absolute deviation0.3826
MAPEMean absolute percentage error0.0093
SAESum of the absolute errors23.34
This simple exponential smoothing model begins by setting Russel Metals forecast for the second period equal to the observation of the first period. In other words, recent Russel Metals observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for Russel Metals

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Russel Metals. 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
43.5344.7746.01
Details
Intrinsic
Valuation
LowRealHigh
43.8445.0846.32
Details
Earnings
Estimates (0)
LowProjected EPSHigh
0.730.530.76
Details

Other Forecasting Options for Russel Metals

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

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

Russel Metals 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 Russel Metals' 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 Russel Metals' current price.

Russel Metals Market Strength Events

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

Russel Metals Risk Indicators

The analysis of Russel Metals' 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 Russel Metals' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting russel 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 Russel Metals

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 Russel Metals 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 Russel Metals will appreciate offsetting losses from the drop in the long position's value.

Moving together with Russel Stock

  0.78TD Toronto Dominion BankPairCorr

Moving against Russel Stock

  0.72CVE Cenovus EnergyPairCorr
  0.65ENB EnbridgePairCorr
  0.45T Telus CorpPairCorr
  0.34ATH Athabasca Oil CorpPairCorr
The ability to find closely correlated positions to Russel Metals could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Russel Metals 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 Russel Metals - 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 Russel Metals to buy it.
The correlation of Russel Metals 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 Russel Metals moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Russel Metals 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 Russel Metals 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 Russel Stock

Russel Metals financial ratios help investors to determine whether Russel 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 Russel with respect to the benefits of owning Russel Metals security.