Real Matters Stock Forecast - Simple Moving Average
| REAL Stock | CAD 6.60 0.23 3.61% |
The Simple Moving Average forecasted value of Real Matters on the next trading day is expected to be 6.49 with a mean absolute deviation of 0.17 and the sum of the absolute errors of 10.16. Real Stock Forecast is based on your current time horizon. Although Real Matters' naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Real Matters' systematic risk associated with finding meaningful patterns of Real Matters fundamentals over time.
Real |
Real Matters Simple Moving Average Price Forecast For the 27th of November
Given 90 days horizon, the Simple Moving Average forecasted value of Real Matters on the next trading day is expected to be 6.49 with a mean absolute deviation of 0.17, mean absolute percentage error of 0.05, and the sum of the absolute errors of 10.16.Please note that although there have been many attempts to predict Real 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 Real Matters' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Real Matters Stock Forecast Pattern
| Backtest Real Matters | Real Matters Price Prediction | Buy or Sell Advice |
Real Matters Forecasted Value
In the context of forecasting Real Matters' 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. Real Matters' downside and upside margins for the forecasting period are 4.12 and 8.85, respectively. We have considered Real Matters' 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 Moving Average forecasting method's relative quality and the estimations of the prediction error of Real Matters stock data series using in forecasting. Note that when a statistical model is used to represent Real Matters 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 | 111.3614 |
| Bias | Arithmetic mean of the errors | 0.0268 |
| MAD | Mean absolute deviation | 0.1722 |
| MAPE | Mean absolute percentage error | 0.0219 |
| SAE | Sum of the absolute errors | 10.16 |
Predictive Modules for Real Matters
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Real Matters. 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 Real Matters
For every potential investor in Real, whether a beginner or expert, Real Matters' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Real Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Real. Basic forecasting techniques help filter out the noise by identifying Real Matters' price trends.Real Matters 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 Real Matters stock to make a market-neutral strategy. Peer analysis of Real Matters could also be used in its relative valuation, which is a method of valuing Real Matters by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Real Matters 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 Real Matters' 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 Real Matters' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Real Matters Market Strength Events
Market strength indicators help investors to evaluate how Real Matters stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Real Matters shares will generate the highest return on investment. By undertsting and applying Real Matters stock market strength indicators, traders can identify Real Matters entry and exit signals to maximize returns.
| Accumulation Distribution | 13732.9 | |||
| Daily Balance Of Power | 0.5111 | |||
| Rate Of Daily Change | 1.04 | |||
| Day Median Price | 6.49 | |||
| Day Typical Price | 6.53 | |||
| Price Action Indicator | 0.22 | |||
| Period Momentum Indicator | 0.23 |
Real Matters Risk Indicators
The analysis of Real Matters' 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 Real Matters' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting real 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 | 1.77 | |||
| Standard Deviation | 2.3 | |||
| Variance | 5.28 |
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 Real Matters
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 Real Matters 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 Real Matters will appreciate offsetting losses from the drop in the long position's value.Moving against Real Stock
| 0.73 | JPM | JPMorgan Chase | PairCorr |
| 0.64 | BOFA | Bank of America | PairCorr |
| 0.58 | TD-PFI | Toronto Dominion Bank | PairCorr |
| 0.44 | TD-PFD | Toronto Dominion Bank | PairCorr |
| 0.38 | BRK | Berkshire Hathaway CDR | PairCorr |
The ability to find closely correlated positions to Real Matters could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Real Matters 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 Real Matters - 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 Real Matters to buy it.
The correlation of Real Matters 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 Real Matters moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Real Matters 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 Real Matters 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.Other Information on Investing in Real Stock
Real Matters financial ratios help investors to determine whether Real 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 Real with respect to the benefits of owning Real Matters security.