Queens Road Stock Forward View - Simple Exponential Smoothing
| QRC Stock | 13.70 0.17 1.26% |
Queens Stock outlook is based on your current time horizon. Although Queens Road's naive historical forecasting may sometimes provide an important future outlook for the firm, we suggest always cross-verifying it against solid analysis of Queens Road's systematic risk associated with finding meaningful patterns of Queens Road fundamentals over time.
The relative strength index (RSI) of Queens Road's stock price is about 65 indicating that the stock is rather overbought by investors as of today. The main point of the Relative Strength Index (RSI) is to track how fast people are buying or selling Queens, making its price go up or down. Momentum 65
Buy Extended
Oversold | Overbought |
Quarterly Earnings Growth 0.102 | Wall Street Target Price 15.8079 | Quarterly Revenue Growth 0.131 |
Using Queens Road hype-based prediction, you can estimate the value of Queens Road Capital from the perspective of Queens Road response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Exponential Smoothing forecasted value of Queens Road Capital on the next trading day is expected to be 13.70 with a mean absolute deviation of 0.18 and the sum of the absolute errors of 10.92. Queens Road after-hype prediction price | CAD 13.7 |
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.
Queens |
Queens Road Additional Predictive Modules
Most predictive techniques to examine Queens price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Queens using various technical indicators. When you analyze Queens 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.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Queens Road Simple Exponential Smoothing Price Forecast For the 24th of February
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Queens Road Capital on the next trading day is expected to be 13.70 with a mean absolute deviation of 0.18, mean absolute percentage error of 0.07, and the sum of the absolute errors of 10.92.Please note that although there have been many attempts to predict Queens 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 Queens Road's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Queens Road Stock Forecast Pattern
| Backtest Queens Road | Queens Road Price Prediction | Research Analysis |
Queens Road Forecasted Value
In the context of forecasting Queens Road'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. Queens Road's downside and upside margins for the forecasting period are 11.39 and 16.01, respectively. We have considered Queens Road'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 Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Queens Road stock data series using in forecasting. Note that when a statistical model is used to represent Queens Road 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 | 113.6601 |
| Bias | Arithmetic mean of the errors | -0.0797 |
| MAD | Mean absolute deviation | 0.182 |
| MAPE | Mean absolute percentage error | 0.0154 |
| SAE | Sum of the absolute errors | 10.92 |
Predictive Modules for Queens Road
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Queens Road Capital. 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.Queens Road After-Hype Price Density Analysis
As far as predicting the price of Queens Road at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Queens Road or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Stock prices, such as prices of Queens Road, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Queens Road Estimiated After-Hype Price Volatility
In the context of predicting Queens Road's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Queens Road's historical news coverage. Queens Road's after-hype downside and upside margins for the prediction period are 11.39 and 16.01, respectively. We have considered Queens Road's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models compare with traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Queens Road is not too volatile at this time. Analysis and calculation of next after-hype price of Queens Road Capital is based on 3 months time horizon.
Queens Road Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Queens Road is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Queens Road 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 Queens Road, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.73 | 2.31 | 0.00 | 0.01 | 4 Events / Month | 2 Events / Month | In about 4 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
13.70 | 13.70 | 0.00 |
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Queens Road Hype Timeline
Queens Road Capital is at this time traded for 13.70on Toronto Exchange of Canada. The entity stock is not elastic to its hype. The average elasticity to hype of competition is -0.01. Queens is forecasted not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is insignificant. The immediate return on the next news is forecasted to be very small, whereas the daily expected return is at this time at 0.73%. %. The volatility of related hype on Queens Road is about 12993.75%, with the expected price after the next announcement by competition of 13.69. About 57.0% of the company outstanding shares are owned by corporate insiders. The company has price-to-book ratio of 1.16. Typically companies with comparable Price to Book (P/B) are able to outperform the market in the long run. Queens Road Capital last dividend was issued on the 3rd of November 2025. The entity had 1:10 split on the 15th of January 2025. Assuming the 90 days trading horizon the next forecasted press release will be in about 4 days. Check out Historical Fundamental Analysis of Queens Road to cross-verify your projections.Queens Road Related Hype Analysis
Having access to credible news sources related to Queens Road's direct competition is more important than ever and may enhance your ability to predict Queens Road's future price movements. Getting to know how Queens Road's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Queens Road may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| FFN | North American Financial | 0.07 | 2 per month | 1.57 | 0.14 | 2.33 | (2.99) | 7.76 | |
| DGS | Dividend Growth Split | (0.03) | 3 per month | 0.89 | 0.16 | 1.61 | (1.43) | 5.31 | |
| AIM-PA | Aimia Srs 1 | 0.00 | 0 per month | 0.76 | 0.04 | 2.44 | (1.51) | 9.51 | |
| LBS | Life Banc Split | (0.07) | 5 per month | 0.59 | 0.17 | 1.60 | (1.24) | 3.97 | |
| URB | Urbana | (0.27) | 3 per month | 1.69 | 0.08 | 3.92 | (2.96) | 11.09 | |
| URB-A | Urbana | (0.03) | 4 per month | 1.29 | 0.04 | 2.23 | (2.02) | 8.06 | |
| FC | Firm Capital Mortgage | 0.05 | 9 per month | 0.33 | 0.09 | 0.77 | (0.70) | 2.10 | |
| SBC | Brompton Split Banc | 0.23 | 9 per month | 0.48 | 0.28 | 2.01 | (1.28) | 4.59 | |
| BK | Canadian Banc Corp | (0.11) | 7 per month | 0.74 | 0.13 | 1.74 | (1.26) | 11.77 |
Other Forecasting Options for Queens Road
For every potential investor in Queens, whether a beginner or expert, Queens Road's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Queens Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Queens. Basic forecasting techniques help filter out the noise by identifying Queens Road's price trends.Queens Road 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 Queens Road stock to make a market-neutral strategy. Peer analysis of Queens Road could also be used in its relative valuation, which is a method of valuing Queens Road by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Queens Road Market Strength Events
Market strength indicators help investors to evaluate how Queens Road stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Queens Road shares will generate the highest return on investment. By undertsting and applying Queens Road stock market strength indicators, traders can identify Queens Road Capital entry and exit signals to maximize returns.
Queens Road Risk Indicators
The analysis of Queens Road'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 Queens Road's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting queens 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 | 1.47 | |||
| Semi Deviation | 0.9645 | |||
| Standard Deviation | 2.24 | |||
| Variance | 5.04 | |||
| Downside Variance | 2.48 | |||
| Semi Variance | 0.9303 | |||
| Expected Short fall | (1.87) |
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 Queens Road
The number of cover stories for Queens Road depends on current market conditions and Queens Road's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Queens Road is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Queens Road's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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Queens Road Short Properties
Queens Road's future price predictability will typically decrease when Queens Road's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Queens Road Capital often depends not only on the future outlook of the potential Queens Road's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Queens Road's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 51.8 M | |
| Cash And Short Term Investments | 3.1 M |
Other Information on Investing in Queens Stock
Queens Road financial ratios help investors to determine whether Queens 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 Queens with respect to the benefits of owning Queens Road security.