CT Real Stock Forecast - 20 Period Moving Average

CRT-UN Stock  CAD 15.36  0.22  1.45%   
The 20 Period Moving Average forecasted value of CT Real Estate on the next trading day is expected to be 15.17 with a mean absolute deviation of 0.21 and the sum of the absolute errors of 8.57. CRT-UN Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast CT Real stock prices and determine the direction of CT Real Estate's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of CT Real's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
As of December 4, 2024, Inventory Turnover is expected to decline to 4.30. In addition to that, Payables Turnover is expected to decline to 8.01. As of December 4, 2024, Common Stock Shares Outstanding is expected to decline to about 211.6 M. In addition to that, Net Income Applicable To Common Shares is expected to decline to about 138.6 M.
A commonly used 20-period moving average forecast model for CT Real Estate is based on a synthetically constructed CT Realdaily price series in which the value for a trading day is replaced by the mean of that value and the values for 20 of preceding and succeeding time periods. This model is best suited for price series data that changes over time.

CT Real 20 Period Moving Average Price Forecast For the 5th of December

Given 90 days horizon, the 20 Period Moving Average forecasted value of CT Real Estate on the next trading day is expected to be 15.17 with a mean absolute deviation of 0.21, mean absolute percentage error of 0.06, and the sum of the absolute errors of 8.57.
Please note that although there have been many attempts to predict CRT-UN 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 CT Real's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

CT Real Stock Forecast Pattern

Backtest CT RealCT Real Price PredictionBuy or Sell Advice 

CT Real Forecasted Value

In the context of forecasting CT Real'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. CT Real's downside and upside margins for the forecasting period are 14.27 and 16.07, respectively. We have considered CT Real'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
15.36
15.17
Expected Value
16.07
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 20 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of CT Real stock data series using in forecasting. Note that when a statistical model is used to represent CT Real 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 Criteria78.583
BiasArithmetic mean of the errors 0.1721
MADMean absolute deviation0.209
MAPEMean absolute percentage error0.0137
SAESum of the absolute errors8.568
The eieght-period moving average method has an advantage over other forecasting models in that it does smooth out peaks and valleys in a set of daily observations. CT Real Estate 20-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for CT Real

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as CT Real Estate. 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 CT Real'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
14.4615.3616.26
Details
Intrinsic
Valuation
LowRealHigh
14.5615.4616.36
Details
Bollinger
Band Projection (param)
LowMiddleHigh
15.0715.1915.31
Details
Earnings
Estimates (0)
LowProjected EPSHigh
0.000.000.00
Details

Other Forecasting Options for CT Real

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

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

CT Real Estate 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 CT Real'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 CT Real's current price.

CT Real Market Strength Events

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

CT Real Risk Indicators

The analysis of CT Real'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 CT Real's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting crt-un 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 CT Real

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 CT Real 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 CT Real will appreciate offsetting losses from the drop in the long position's value.

Moving against CRT-UN Stock

  0.77JPM JPMorgan ChasePairCorr
  0.72BOFA Bank of AmericaPairCorr
  0.7CHEV CHEVRON CDRPairCorr
  0.57WMT Walmart Inc CDRPairCorr
  0.53GOOG Alphabet CDRPairCorr
The ability to find closely correlated positions to CT Real could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace CT Real 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 CT Real - 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 CT Real Estate to buy it.
The correlation of CT Real 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 CT Real moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if CT Real Estate 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 CT Real 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 CRT-UN Stock

CT Real financial ratios help investors to determine whether CRT-UN 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 CRT-UN with respect to the benefits of owning CT Real security.