Goeasy Stock Forward View - Double Exponential Smoothing

GSY Stock  CAD 35.72  0.70  2.00%   
As of today, the relative strength indicator for Goeasy is 18, signaling extreme oversold conditions. Readings below 20 are commonly associated with potential stabilization zones.
Momentum
Sell Peaked
 
Oversold
 
Overbought
The successful prediction of Goeasy's future price could yield a significant profit. We analyze noise-free headlines and recent hype associated with goeasy, which may create opportunities for some arbitrage if properly timed. Primary fundamentals used for Goeasy's price context:
 Quarterly Earnings Growth
-0.59
 EPS Estimate Next Quarter
4.8856
 EPS Estimate Current Year
3.4617
 EPS Estimate Next Year
5.0717
 Wall Street Target Price
81
The hype-based view summarizes Goeasy's price response to recent headlines and peer coverage.
The Double Exponential Smoothing forecasted value of goeasy on the next trading day is expected to be 34.34 with a mean absolute deviation of 3.52 and the sum of the absolute errors of 207.47.
Goeasy after-hype prediction price
    
  C$ 37.95  
Hype indicators are listed alongside forecasting models, technical studies, analyst consensus, and earnings expectations.
  
Historical Fundamental Analysis of Goeasy provides a cross-check on projections for Goeasy. The view supplies historical context for the projection discussion.

Goeasy Additional Predictive Modules

Most predictive techniques to examine Goeasy price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Goeasy using various technical indicators. When you analyze Goeasy 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.
Double exponential smoothing - also known as Holt exponential smoothing is a refinement of the popular simple exponential smoothing model with an additional trending component. Double exponential smoothing model for Goeasy works best with periods where there are trends or seasonality.

Double Exponential Smoothing Price Forecast For the 17th of March 2026

Given 90 days horizon, the Double Exponential Smoothing forecasted value of goeasy on the next trading day is expected to be 34.34 with a mean absolute deviation of 3.52 , mean absolute percentage error of 80.33 , and the sum of the absolute errors of 207.47 .
Please note that although there have been many attempts to predict Goeasy Stock prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Goeasy's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Stock Forecast Pattern

Backtest Goeasy  Goeasy Price Prediction  Research Analysis  

Forecasted Value

This next-day forecast for goeasy uses model performance to estimate practical downside and upside boundaries rather than a single point target alone. Investors should still remember that no empirical framework consistently proves that one family of forecasting models will outperform all other approaches in live markets.
Market Value
35.72
34.34
Expected Value
42.42
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Goeasy stock data series using in forecasting. Note that when a statistical model is used to represent Goeasy 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 CriteriaHuge
BiasArithmetic mean of the errors 0.1208
MADMean absolute deviation3.5164
MAPEMean absolute percentage error0.0463
SAESum of the absolute errors207.47
When goeasy prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any goeasy trend in the prices. So in double exponential smoothing past observations are given exponentially smaller weights as the observations get older. In other words, recent Goeasy observations are given relatively more weight in forecasting than the older observations.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Goeasy's price to converge to an average value over time is called mean reversion.
Hype
Prediction
LowEstimatedHigh
29.8737.9546.03
Details
Intrinsic
Valuation
LowRealHigh
27.2835.3643.44
Details
Bollinger
Band Projection (param)
LowMiddleHigh
36.5199.06161.61
Details
Earnings
Estimates (0)
LowProjected EPSHigh
0.46-6.331.25
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Goeasy. Your research has to be compared to or analyzed against Goeasy's peers to derive any actionable benefits.

After-Hype Price Density Analysis

As far as predicting the price of Goeasy at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range.
   Next price density   
       Expected price to next headline  

Estimiated After-Hype Price Volatility

In the context of predicting Goeasy's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Goeasy's historical news coverage.
Current Value
35.72
37.95
After-hype Price
46.03
Upside
The after-hype framework applied to goeasy assumes a 3 months review window and focuses on post-sentiment normalization rather than raw momentum. Goeasy is Low at this time.

Price Outlook Analysis

Have you ever been surprised when a price of a Company such as Goeasy is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Goeasy backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Stock price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Goeasy, there might be something going there, and it might present an excellent short sale opportunity.
Expected ReturnPeriod VolatilityHype ElasticityRelated ElasticityNews DensityRelated DensityExpected Hype
  1.54 
8.08
  2.23 
  0.31 
6 Events
2 Events
In 6 days
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility
35.72
37.95
6.24 
557.24  
Notes

Hype Timeline

goeasy is currently traded for 35.72on Toronto Exchange of Canada. The company has historical hype elasticity of 2.23, and average elasticity to hype of competition of 0.31. Goeasy is forecasted to increase in value after the next headline, with the price projected to jump to 37.95 or above. The average volatility of media hype impact on the company the price is over 100%. The price boost on the next news is estimated to be 6.24%, whereas the daily expected return is currently at -1.54%. The volatility of related hype on Goeasy is about 4040.0%, with the expected price after the next announcement by competition of 36.03. The company has Profit Margin (PM) of 29.0 %, which indicates that the company has the margin capacity to absorb moderate cost pressure. This places it above the industry median. Similarly, it shows Operating Margin (OM) of 42.0 %, which indicates that for every 100 dollars of revenue, the company generates $42.0 of operating income. Assuming the 90-day trading horizon the next forecasted press release will be in 6 days.
Historical Fundamental Analysis of Goeasy provides a cross-check on projections for Goeasy. The view supplies historical context for the projection discussion.

Related Hype Analysis

Having access to credible news sources related to Goeasy's direct competition is more important than ever and may enhance your ability to predict Goeasy's future price movements. Getting to know how Goeasy's peers react to changing market sentiment, related social.
Hype
Elasticity
News
Density
Semi
Deviation
Information
Ratio
Potential
Upside
Value
At Risk
Maximum
Drawdown
EQBEQB Inc 0.41 9 per month 1.46 0.14 2.50 -2.51 8.77
SIISprott Inc 0.24 1 per month 2.69 0.25 5.53 -4.32 14.25
PRLPropel Holdings 0.24 1 per month 0.00 -0.15 3.48 -5.52 15.98
BITFBitfarms 0.03 11 per month 0.00 -0.03 10.64 -8.68 34.53
CYBCymbria 0.75 5 per month 1.31 0.09 1.97 -1.94 7.25
GCG-AGuardian Capital Group-0.07 7 per month 0.00  0.36 0.24 -0.21 0.83
ECNECN Capital Corp 0.00 7 per month 0.31 0.11 0.66 -0.65 1.32
TSUTrisura Group 0.35 5 per month 1.30 0.11 4.16 -2.71 14.42
GCGGuardian Capital Group-0.15 4 per month 0.00  0.37 0.24 -0.13 0.71

Other Forecasting Options for Goeasy

For every potential investor in Goeasy, whether a beginner or expert, Goeasy's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better.

Goeasy Related Equities

The following equities are related to Goeasy within the Financials space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing Goeasy against peers on metrics such as P/E, margins, and return on equity helps contextualize its positioning and identify relative strengths or weaknesses.
 Risk & Return  Correlation

Goeasy Market Strength Events

Market strength indicators help investors to evaluate how Goeasy stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Goeasy shares will generate the highest return on.

Goeasy Risk Indicators

The analysis of Goeasy'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 Goeasy's investment and either accepting that risk or mitigating it.
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.

Story Coverage note for Goeasy

The amount of media and story coverage tied to goeasy can signal where market attention is concentrating at the moment. A disciplined read of coverage helps investors separate durable relevance from temporary noise.

Other Macroaxis Stories

Macroaxis publishes story content for a diverse readership that includes finance students, independent investors, money managers, and market-focused operating teams. What connects that audience is a focus on building stronger portfolios through better research, risk awareness, and comparative analysis.

Goeasy Short Properties

Reviewing short-oriented indicators for goeasy is useful because long and short participants often create very different signals for timing and volatility. The practical goal is to identify when the balance between long and short participation may be changing the quality of the setup.
Common Stock Shares Outstanding17.4 M
Cash And Short Term Investments251.4 M

More Resources for Goeasy Stock Analysis

Other Information on Investing in Goeasy Stock

Financial ratios for Goeasy provide valuation context across profits, cash flow, and enterprise value. They help compare Goeasy across valuation measures.