Real Estate Securities Fund Technical Analysis
| PRCEX Fund | USD 27.47 0.04 0.15% |
As of the 27th of January, Real Estate holds the Risk Adjusted Performance of 0.0267, coefficient of variation of 2647.54, and Semi Deviation of 0.6996. 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 mutual fund 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 Securities or generate 0.0% return on investment in Real Estate over 90 days. Real Estate is related to or competes with T Rowe, T Rowe, Franklin Moderate, Oppenheimer Global, Alternative Asset, Hartford Moderate, and Calvert Moderate. Under normal circumstances, the fund invests at least 80 percent of its net assets, plus any borrowings for investment p... 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 mutual fund 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 Securities upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.7754 | |||
| Information Ratio | (0.08) | |||
| Maximum Drawdown | 3.15 | |||
| Value At Risk | (1.12) | |||
| Potential Upside | 0.9598 |
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 | 0.0267 | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.05) | |||
| Sortino Ratio | (0.07) | |||
| Treynor Ratio | 0.049 |
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 | 0.0267 | |||
| Market Risk Adjusted Performance | 0.059 | |||
| Mean Deviation | 0.5074 | |||
| Semi Deviation | 0.6996 | |||
| Downside Deviation | 0.7754 | |||
| Coefficient Of Variation | 2647.54 | |||
| Standard Deviation | 0.6617 | |||
| Variance | 0.4379 | |||
| Information Ratio | (0.08) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.05) | |||
| Sortino Ratio | (0.07) | |||
| Treynor Ratio | 0.049 | |||
| Maximum Drawdown | 3.15 | |||
| Value At Risk | (1.12) | |||
| Potential Upside | 0.9598 | |||
| Downside Variance | 0.6012 | |||
| Semi Variance | 0.4894 | |||
| Expected Short fall | (0.51) | |||
| Skewness | (0.55) | |||
| Kurtosis | 0.3752 |
Real Estate Securities Backtested Returns
At this stage we consider Real Mutual Fund to be very steady. Real Estate Securities maintains Sharpe Ratio (i.e., Efficiency) of 0.0378, which implies the entity had a 0.0378 % return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Real Estate Securities, which you can use to evaluate the volatility of the fund. Please check Real Estate's Coefficient Of Variation of 2647.54, risk adjusted performance of 0.0267, and Semi Deviation of 0.6996 to confirm if the risk estimate we provide is consistent with the expected return of 0.025%. The fund holds a Beta of 0.31, which implies possible diversification benefits within a given portfolio. 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.
Auto-correlation | 0.48 |
Average predictability
Real Estate Securities has average 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 Securities price movement. The serial correlation of 0.48 indicates that about 48.0% of current Real Estate price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.48 | |
| Spearman Rank Test | -0.04 | |
| Residual Average | 0.0 | |
| Price Variance | 0.08 |
Real Estate technical mutual fund 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, fund market cycles, or different charting patterns.
Real Estate Securities Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. 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 Securities 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 Securities 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 Securities based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Real Estate Securities price pattern first instead of the macroeconomic environment surrounding Real Estate Securities. 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.
Real Estate January 27, 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 | 0.0267 | |||
| Market Risk Adjusted Performance | 0.059 | |||
| Mean Deviation | 0.5074 | |||
| Semi Deviation | 0.6996 | |||
| Downside Deviation | 0.7754 | |||
| Coefficient Of Variation | 2647.54 | |||
| Standard Deviation | 0.6617 | |||
| Variance | 0.4379 | |||
| Information Ratio | (0.08) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.05) | |||
| Sortino Ratio | (0.07) | |||
| Treynor Ratio | 0.049 | |||
| Maximum Drawdown | 3.15 | |||
| Value At Risk | (1.12) | |||
| Potential Upside | 0.9598 | |||
| Downside Variance | 0.6012 | |||
| Semi Variance | 0.4894 | |||
| Expected Short fall | (0.51) | |||
| Skewness | (0.55) | |||
| Kurtosis | 0.3752 |
Real Estate Securities One Year Return
Based on the recorded statements, Real Estate Securities has an One Year Return of 0.5672%. This is 97.68% lower than that of the Principal Funds family and significantly higher than that of the Real Estate category. The one year return for all United States funds is notably lower than that of the firm.
Although One Year Fund Return indicator can give a sense of overall fund short-term potential, it is recommended to look at mid and long term return measure before selecting a particular fund or ETF. The great way to validate fund short-term performance is to compare it with other similar funds or ETFs for the same 12 months interval.Real Estate January 27, 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 | 0.00 | ||
| Daily Balance Of Power | (Huge) | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 27.47 | ||
| Day Typical Price | 27.47 | ||
| Price Action Indicator | (0.02) |
Other Information on Investing in Real Mutual Fund
Real Estate financial ratios help investors to determine whether Real Mutual Fund 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.
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