Real Estate E Commerce Stock Net Income
| RS Stock | CAD 10.18 0.01 0.1% |
As of the 27th of January, Real Estate holds the Coefficient Of Variation of 1134.09, semi deviation of 0.9113, and Risk Adjusted Performance of 0.0679. Compared to fundamental indicators, the technical analysis model allows you to check existing technical drivers of Real Estate, as well as the relationship between them.
Real Estate Total Revenue |
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| Last Reported | Projected for Next Year | ||
| Net Loss | -6.3 M | -6 M | |
| Net Loss | -6.3 M | -6 M | |
| Net Loss | (0.70) | (0.67) | |
| Net Income Per E B T | 0.97 | 0.81 |
Real | Net Income |
Latest Real Estate's Net Income Growth Pattern
Below is the plot of the Net Income of Real Estate E Commerce over the last few years. Net income is one of the most important fundamental items in finance. It plays a large role in Real Estate E financial statement analysis. It represents the amount of money remaining after all of Real Estate E Commerce operating expenses, interest, taxes and preferred stock dividends have been deducted from a company total revenue. It is Real Estate's Net Loss historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Real Estate's overall financial position and show how it may be relating to other accounts over time.
| Net Income | 10 Years Trend |
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Net Income |
| Timeline |
Real Net Income Regression Statistics
| Arithmetic Mean | (1,378,327) | |
| Coefficient Of Variation | (429.27) | |
| Mean Deviation | 3,666,493 | |
| Median | (260,223) | |
| Standard Deviation | 5,916,676 | |
| Sample Variance | 35T | |
| Range | 29.6M | |
| R-Value | (0.29) | |
| Mean Square Error | 34.2T | |
| R-Squared | 0.08 | |
| Significance | 0.26 | |
| Slope | (341,142) | |
| Total Sum of Squares | 560.1T |
Real Net Income History
Real Net Income Driver Correlations
Understanding the fundamental principles of building solid financial models for Real Estate is extremely important. It helps to project a fair market value of Real Stock properly, considering its historical fundamentals such as Net Income. Since Real Estate's main accounts across its financial reports are all linked and dependent on each other, it is essential to analyze all possible correlations between related accounts. However, instead of reviewing all of Real Estate's historical financial statements, investors can examine the correlated drivers to determine its overall health. This can be effectively done using a conventional correlation matrix of Real Estate's interrelated accounts and indicators.
Click cells to compare fundamentals
Real Estate 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Real Estate's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Real Estate.
| 10/29/2025 |
| 01/27/2026 |
If you would invest 0.00 in Real Estate on October 29, 2025 and sell it all today you would earn a total of 0.00 from holding Real Estate E Commerce or generate 0.0% return on investment in Real Estate over 90 days. Real Estate is related to or competes with Premium Income, Canadian Life, Dividend, Dmg Blockchain, Pinetree Capital, Brompton Lifeco, and BTC Digital. Real Estate E-Commerce Split Corp. is a balanced mutual fund launched by Middlefield Limited More
Real Estate Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Real Estate's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Real Estate E Commerce upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.03 | |||
| Information Ratio | 0.0128 | |||
| Maximum Drawdown | 4.35 | |||
| Value At Risk | (1.77) | |||
| Potential Upside | 1.72 |
Real Estate Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Real Estate's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Real Estate's standard deviation. In reality, there are many statistical measures that can use Real Estate historical prices to predict the future Real Estate's volatility.| Risk Adjusted Performance | 0.0679 | |||
| Jensen Alpha | 0.0749 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | 0.0133 | |||
| Treynor Ratio | 0.6167 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Real Estate'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.
Real Estate January 27, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0679 | |||
| Market Risk Adjusted Performance | 0.6267 | |||
| Mean Deviation | 0.7954 | |||
| Semi Deviation | 0.9113 | |||
| Downside Deviation | 1.03 | |||
| Coefficient Of Variation | 1134.09 | |||
| Standard Deviation | 1.07 | |||
| Variance | 1.15 | |||
| Information Ratio | 0.0128 | |||
| Jensen Alpha | 0.0749 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | 0.0133 | |||
| Treynor Ratio | 0.6167 | |||
| Maximum Drawdown | 4.35 | |||
| Value At Risk | (1.77) | |||
| Potential Upside | 1.72 | |||
| Downside Variance | 1.06 | |||
| Semi Variance | 0.8305 | |||
| Expected Short fall | (0.89) | |||
| Skewness | 0.3909 | |||
| Kurtosis | 1.04 |
Real Estate E Backtested Returns
As of now, Real Stock is not too volatile. Real Estate E maintains Sharpe Ratio (i.e., Efficiency) of 0.12, which implies the firm had a 0.12 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Real Estate E, which you can use to evaluate the volatility of the company. Please check Real Estate's Coefficient Of Variation of 1134.09, semi deviation of 0.9113, and Risk Adjusted Performance of 0.0679 to confirm if the risk estimate we provide is consistent with the expected return of 0.13%. Real Estate has a performance score of 9 on a scale of 0 to 100. The company holds a Beta of 0.14, which implies not very significant fluctuations relative to the market. As returns on the market increase, Real Estate's returns are expected to increase less than the market. However, during the bear market, the loss of holding Real Estate is expected to be smaller as well. Real Estate E right now holds a risk of 1.08%. Please check Real Estate E value at risk, and the relationship between the jensen alpha and skewness , to decide if Real Estate E will be following its historical price patterns.
Auto-correlation | -0.69 |
Very good reverse predictability
Real Estate E Commerce has very good reverse predictability. Overlapping area represents the amount of predictability between Real Estate time series from 29th of October 2025 to 13th of December 2025 and 13th of December 2025 to 27th of January 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Real Estate E price movement. The serial correlation of -0.69 indicates that around 69.0% of current Real Estate price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.69 | |
| Spearman Rank Test | -0.66 | |
| Residual Average | 0.0 | |
| Price Variance | 0.37 |
Because income is reported on the Income Statement of a company and is measured in dollars some investors prefer to use Profit Margin, which measures income as a percentage of sales.
| Competition |
Real Net Interest Income
Net Interest Income |
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Real Net Income Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Real Estate's direct or indirect competition against its Net Income to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of Real Estate could also be used in its relative valuation, which is a method of valuing Real Estate by comparing valuation metrics of similar companies.Real Estate is currently under evaluation in net income category among its peers.
Real Fundamentals
| Current Valuation | (118.64 M) | ||||
| Shares Outstanding | 11.78 M | ||||
| Number Of Shares Shorted | 936 | ||||
| Price To Earning | 2.32 X | ||||
| Price To Book | 1.02 X | ||||
| Price To Sales | 17.19 X | ||||
| Total Debt | 118.11 M | ||||
| Short Ratio | 0.04 X | ||||
| Earnings Per Share | 1.55 X | ||||
| Market Capitalization | 119.75 M | ||||
| Total Asset | 231.44 M | ||||
| Working Capital | 113.33 M | ||||
| Annual Yield | 0.15 % | ||||
| Net Asset | 231.44 M |
About Real Estate Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Real Estate E Commerce's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Real Estate using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Real Estate E Commerce based on its fundamental data. In general, a quantitative approach, as applied to this company, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Please read more on our fundamental analysis page.
Pair Trading with Real Estate
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 Estate 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 Estate will appreciate offsetting losses from the drop in the long position's value.Moving against Real Stock
The ability to find closely correlated positions to Real Estate 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 Estate 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 Estate - 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 Estate E Commerce to buy it.
The correlation of Real Estate 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 Estate moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Real Estate E 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 Estate 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 Estate 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 Estate security.