Queens Road Stock Forecast - Simple Exponential Smoothing
| QRC Stock | 11.60 0.11 0.96% |
The Simple Exponential Smoothing forecasted value of Queens Road Capital on the next trading day is expected to be 11.60 with a mean absolute deviation of 0.12 and the sum of the absolute errors of 7.20. Queens Stock Forecast 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 recommend always cross-verifying it against solid analysis of Queens Road's systematic risk associated with finding meaningful patterns of Queens Road fundamentals over time.
As of today the relative strength index (rsi) of Queens Road's 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 |
Quarterly Earnings Growth 0.246 | Wall Street Target Price 15.8079 | Quarterly Revenue Growth 0.281 |
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 11.60 with a mean absolute deviation of 0.12 and the sum of the absolute errors of 7.20. Queens Road after-hype prediction price | CAD 11.65 |
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 5th of January
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Queens Road Capital on the next trading day is expected to be 11.60 with a mean absolute deviation of 0.12, mean absolute percentage error of 0.05, and the sum of the absolute errors of 7.20.Please note that although there have been many attempts to predict Queens 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 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 | Buy or Sell Advice |
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 9.41 and 13.79, 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 | 113.2191 |
| Bias | Arithmetic mean of the errors | -0.0543 |
| MAD | Mean absolute deviation | 0.12 |
| MAPE | Mean absolute percentage error | 0.0127 |
| SAE | Sum of the absolute errors | 7.2 |
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.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 Capital 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 Queens Road'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 Queens Road's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
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 | 1.33 | |||
| Semi Deviation | 0.8447 | |||
| Standard Deviation | 2.15 | |||
| Variance | 4.61 | |||
| Downside Variance | 1.9 | |||
| Semi Variance | 0.7136 | |||
| Expected Short fall | (1.78) |
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.
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.