Real Estate E Commerce Stock Technical Analysis
| RS Stock | CAD 10.02 0.02 0.20% |
As of the 5th of February, Real Estate holds the Risk Adjusted Performance of 0.0941, semi deviation of 0.8546, and Coefficient Of Variation of 808.94. 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 Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Real, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to RealReal |
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.
| 11/07/2025 |
| 02/05/2026 |
If you would invest 0.00 in Real Estate on November 7, 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 | 1.07 | |||
| Information Ratio | 0.0639 | |||
| Maximum Drawdown | 5.3 | |||
| Value At Risk | (1.79) | |||
| Potential Upside | 1.86 |
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 | 0.0941 | |||
| Jensen Alpha | 0.1161 | |||
| Total Risk Alpha | 0.0435 | |||
| Sortino Ratio | 0.0645 | |||
| Treynor Ratio | 0.9069 |
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 February 5, 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 | 0.0941 | |||
| Market Risk Adjusted Performance | 0.9169 | |||
| Mean Deviation | 0.8162 | |||
| Semi Deviation | 0.8546 | |||
| Downside Deviation | 1.07 | |||
| Coefficient Of Variation | 808.94 | |||
| Standard Deviation | 1.08 | |||
| Variance | 1.17 | |||
| Information Ratio | 0.0639 | |||
| Jensen Alpha | 0.1161 | |||
| Total Risk Alpha | 0.0435 | |||
| Sortino Ratio | 0.0645 | |||
| Treynor Ratio | 0.9069 | |||
| Maximum Drawdown | 5.3 | |||
| Value At Risk | (1.79) | |||
| Potential Upside | 1.86 | |||
| Downside Variance | 1.14 | |||
| Semi Variance | 0.7304 | |||
| Expected Short fall | (0.90) | |||
| Skewness | 0.3546 | |||
| Kurtosis | 0.8382 |
Real Estate E Backtested Returns
Real Estate appears to be very steady, given 3 months investment horizon. Real Estate E maintains Sharpe Ratio (i.e., Efficiency) of 0.2, which implies the firm had a 0.2 % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Real Estate E, which you can use to evaluate the volatility of the company. Please evaluate Real Estate's Risk Adjusted Performance of 0.0941, coefficient of variation of 808.94, and Semi Deviation of 0.8546 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Real Estate holds a performance score of 15. 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. Please check Real Estate's value at risk, and the relationship between the jensen alpha and skewness , to make a quick decision on whether Real Estate's historical price patterns will revert.
Auto-correlation | -0.44 |
Modest reverse predictability
Real Estate E Commerce has modest reverse predictability. Overlapping area represents the amount of predictability between Real Estate time series from 7th of November 2025 to 22nd of December 2025 and 22nd of December 2025 to 5th of February 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 -0.44 indicates that just about 44.0% of current Real Estate price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.44 | |
| Spearman Rank Test | -0.78 | |
| Residual Average | 0.0 | |
| Price Variance | 0.2 |
Real Estate technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.
Real Estate E Technical Analysis
The output start index for this execution was fifty with a total number of output elements of eleven. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Real Estate E volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Real Estate Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Real Estate E Commerce on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Real Estate E Commerce based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Real Estate E price pattern first instead of the macroeconomic environment surrounding Real Estate E. By analyzing Real Estate's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Real Estate's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Real Estate specific price patterns or momentum indicators. Please read more on our technical analysis page.
| 2023 | 2024 | 2025 | 2026 (projected) | Dividend Yield | 0.19 | 0.0933 | 0.084 | 0.0748 | Price To Sales Ratio | 9.68 | 21.11 | 24.27 | 37.95 |
Real Estate February 5, 2026 Technical Indicators
Most technical analysis of Real help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Real from various momentum indicators to cycle indicators. When you analyze Real charts, please remember that the event formation may indicate an entry point for a short seller, and look at different 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 |
| Risk Adjusted Performance | 0.0941 | |||
| Market Risk Adjusted Performance | 0.9169 | |||
| Mean Deviation | 0.8162 | |||
| Semi Deviation | 0.8546 | |||
| Downside Deviation | 1.07 | |||
| Coefficient Of Variation | 808.94 | |||
| Standard Deviation | 1.08 | |||
| Variance | 1.17 | |||
| Information Ratio | 0.0639 | |||
| Jensen Alpha | 0.1161 | |||
| Total Risk Alpha | 0.0435 | |||
| Sortino Ratio | 0.0645 | |||
| Treynor Ratio | 0.9069 | |||
| Maximum Drawdown | 5.3 | |||
| Value At Risk | (1.79) | |||
| Potential Upside | 1.86 | |||
| Downside Variance | 1.14 | |||
| Semi Variance | 0.7304 | |||
| Expected Short fall | (0.90) | |||
| Skewness | 0.3546 | |||
| Kurtosis | 0.8382 |
Real Estate February 5, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Real stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 239.41 | ||
| Daily Balance Of Power | 0.20 | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 9.97 | ||
| Day Typical Price | 9.99 | ||
| Price Action Indicator | 0.06 |
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.