Alpsred Rocks Listed Fund Technical Analysis
| LPFAX Fund | USD 5.72 0.02 0.35% |
As of the 29th of January, Alps/red Rocks shows the Downside Deviation of 1.29, risk adjusted performance of 0.104, and Mean Deviation of 0.9125. In respect to fundamental indicators, the technical analysis model gives you tools to check existing technical drivers of Alps/red Rocks, as well as the relationship between them.
Alps/red Rocks Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Alps/red, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to Alps/redAlps/red |
Alps/red Rocks '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 Alps/red Rocks' 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 Alps/red Rocks.
| 10/31/2025 |
| 01/29/2026 |
If you would invest 0.00 in Alps/red Rocks on October 31, 2025 and sell it all today you would earn a total of 0.00 from holding Alpsred Rocks Listed or generate 0.0% return on investment in Alps/red Rocks over 90 days. Alps/red Rocks is related to or competes with T Rowe, The Hartford, Prudential Health, Alger Health, Eaton Vance, T Rowe, and Alphacentric Lifesci. The fund will invest at least 80 percent of its net assets in securities of U.S More
Alps/red Rocks 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 Alps/red Rocks' 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 Alpsred Rocks Listed upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.29 | |||
| Information Ratio | 0.0922 | |||
| Maximum Drawdown | 15.1 | |||
| Value At Risk | (1.37) | |||
| Potential Upside | 1.57 |
Alps/red Rocks Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Alps/red Rocks' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Alps/red Rocks' standard deviation. In reality, there are many statistical measures that can use Alps/red Rocks historical prices to predict the future Alps/red Rocks' volatility.| Risk Adjusted Performance | 0.104 | |||
| Jensen Alpha | 0.1746 | |||
| Total Risk Alpha | 0.0721 | |||
| Sortino Ratio | 0.1299 | |||
| Treynor Ratio | 0.2591 |
Alps/red Rocks January 29, 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 | 0.104 | |||
| Market Risk Adjusted Performance | 0.2691 | |||
| Mean Deviation | 0.9125 | |||
| Semi Deviation | 0.9128 | |||
| Downside Deviation | 1.29 | |||
| Coefficient Of Variation | 750.36 | |||
| Standard Deviation | 1.82 | |||
| Variance | 3.32 | |||
| Information Ratio | 0.0922 | |||
| Jensen Alpha | 0.1746 | |||
| Total Risk Alpha | 0.0721 | |||
| Sortino Ratio | 0.1299 | |||
| Treynor Ratio | 0.2591 | |||
| Maximum Drawdown | 15.1 | |||
| Value At Risk | (1.37) | |||
| Potential Upside | 1.57 | |||
| Downside Variance | 1.67 | |||
| Semi Variance | 0.8332 | |||
| Expected Short fall | (1.05) | |||
| Skewness | 4.43 | |||
| Kurtosis | 29.47 |
Alpsred Rocks Listed Backtested Returns
Alps/red Rocks appears to be somewhat reliable, given 3 months investment horizon. Alpsred Rocks Listed secures Sharpe Ratio (or Efficiency) of 0.14, which signifies that the fund had a 0.14 % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Alpsred Rocks Listed, which you can use to evaluate the volatility of the entity. Please makes use of Alps/red Rocks' Downside Deviation of 1.29, risk adjusted performance of 0.104, and Mean Deviation of 0.9125 to double-check if our risk estimates are consistent with your expectations. The fund shows a Beta (market volatility) of 0.9, which signifies possible diversification benefits within a given portfolio. Alps/red Rocks returns are very sensitive to returns on the market. As the market goes up or down, Alps/red Rocks is expected to follow.
Auto-correlation | -0.07 |
Very weak reverse predictability
Alpsred Rocks Listed has very weak reverse predictability. Overlapping area represents the amount of predictability between Alps/red Rocks time series from 31st of October 2025 to 15th of December 2025 and 15th of December 2025 to 29th 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 Alpsred Rocks Listed price movement. The serial correlation of -0.07 indicates that barely 7.0% of current Alps/red Rocks price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.07 | |
| Spearman Rank Test | 0.15 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Alps/red Rocks 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.
Alpsred Rocks Listed 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 Alpsred Rocks Listed volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Alps/red Rocks 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 Alpsred Rocks Listed 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 Alpsred Rocks Listed based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Alpsred Rocks Listed price pattern first instead of the macroeconomic environment surrounding Alpsred Rocks Listed. By analyzing Alps/red Rocks'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 Alps/red Rocks'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 Alps/red Rocks specific price patterns or momentum indicators. Please read more on our technical analysis page.
Alps/red Rocks January 29, 2026 Technical Indicators
Most technical analysis of Alps/red 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 Alps/red from various momentum indicators to cycle indicators. When you analyze Alps/red 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 | 0.104 | |||
| Market Risk Adjusted Performance | 0.2691 | |||
| Mean Deviation | 0.9125 | |||
| Semi Deviation | 0.9128 | |||
| Downside Deviation | 1.29 | |||
| Coefficient Of Variation | 750.36 | |||
| Standard Deviation | 1.82 | |||
| Variance | 3.32 | |||
| Information Ratio | 0.0922 | |||
| Jensen Alpha | 0.1746 | |||
| Total Risk Alpha | 0.0721 | |||
| Sortino Ratio | 0.1299 | |||
| Treynor Ratio | 0.2591 | |||
| Maximum Drawdown | 15.1 | |||
| Value At Risk | (1.37) | |||
| Potential Upside | 1.57 | |||
| Downside Variance | 1.67 | |||
| Semi Variance | 0.8332 | |||
| Expected Short fall | (1.05) | |||
| Skewness | 4.43 | |||
| Kurtosis | 29.47 |
Alps/red Rocks January 29, 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 Alps/red 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 | 5.72 | ||
| Day Typical Price | 5.72 | ||
| Price Action Indicator | 0.01 |
Other Information on Investing in Alps/red Mutual Fund
Alps/red Rocks financial ratios help investors to determine whether Alps/red 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 Alps/red with respect to the benefits of owning Alps/red Rocks security.
| Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
| Money Flow Index Determine momentum by analyzing Money Flow Index and other technical indicators | |
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| Correlation Analysis Reduce portfolio risk simply by holding instruments which are not perfectly correlated |