Alger Emerging Markets Fund Technical Analysis
| ACEMX Fund | USD 12.84 0.68 5.03% |
As of the 5th of March, Alger Emerging shows the mean deviation of 0.794, and Risk Adjusted Performance of 0.0892. Alger Emerging Markets technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates the direction of the entity's future prices.
Alger Emerging Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Alger, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to AlgerAlger |
Alger Emerging '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 Alger Emerging'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 Alger Emerging.
| 12/05/2025 |
| 03/05/2026 |
If you would invest 0.00 in Alger Emerging on December 5, 2025 and sell it all today you would earn a total of 0.00 from holding Alger Emerging Markets or generate 0.0% return on investment in Alger Emerging over 90 days. Alger Emerging is related to or competes with Alger Midcap, Alger Midcap, Alger Mid, Alger Small, Alger Small, Alger Small, and Alger Small. The fund invests at least 80 percent of its net assets, plus any borrowings for investment purposes, in equity securitie... More
Alger Emerging 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 Alger Emerging'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 Alger Emerging Markets upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.34 | |||
| Information Ratio | 0.0748 | |||
| Maximum Drawdown | 3.88 | |||
| Value At Risk | (1.31) | |||
| Potential Upside | 1.92 |
Alger Emerging Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Alger Emerging's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Alger Emerging's standard deviation. In reality, there are many statistical measures that can use Alger Emerging historical prices to predict the future Alger Emerging's volatility.| Risk Adjusted Performance | 0.0892 | |||
| Jensen Alpha | 0.1198 | |||
| Total Risk Alpha | 0.0671 | |||
| Sortino Ratio | 0.0623 | |||
| Treynor Ratio | (2.06) |
Alger Emerging March 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 | 0.0892 | |||
| Market Risk Adjusted Performance | (2.05) | |||
| Mean Deviation | 0.794 | |||
| Semi Deviation | 1.15 | |||
| Downside Deviation | 1.34 | |||
| Coefficient Of Variation | 874.83 | |||
| Standard Deviation | 1.12 | |||
| Variance | 1.25 | |||
| Information Ratio | 0.0748 | |||
| Jensen Alpha | 0.1198 | |||
| Total Risk Alpha | 0.0671 | |||
| Sortino Ratio | 0.0623 | |||
| Treynor Ratio | (2.06) | |||
| Maximum Drawdown | 3.88 | |||
| Value At Risk | (1.31) | |||
| Potential Upside | 1.92 | |||
| Downside Variance | 1.8 | |||
| Semi Variance | 1.31 | |||
| Expected Short fall | (0.81) | |||
| Skewness | (1.35) | |||
| Kurtosis | 5.77 |
Alger Emerging Markets Backtested Returns
At this stage we consider Alger Mutual Fund to be very steady. Alger Emerging Markets secures Sharpe Ratio (or Efficiency) of 0.0918, which signifies that the fund had a 0.0918 % return per unit of standard deviation over the last 3 months. We have found twenty-seven technical indicators for Alger Emerging Markets, which you can use to evaluate the volatility of the entity. Please confirm Alger Emerging's risk adjusted performance of 0.0892, and Mean Deviation of 0.794 to double-check if the risk estimate we provide is consistent with the expected return of 0.11%. The fund shows a Beta (market volatility) of -0.0573, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Alger Emerging are expected to decrease at a much lower rate. During the bear market, Alger Emerging is likely to outperform the market.
Auto-correlation | 0.60 |
Good predictability
Alger Emerging Markets has good predictability. Overlapping area represents the amount of predictability between Alger Emerging time series from 5th of December 2025 to 19th of January 2026 and 19th of January 2026 to 5th of March 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 Alger Emerging Markets price movement. The serial correlation of 0.6 indicates that roughly 60.0% of current Alger Emerging price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.6 | |
| Spearman Rank Test | 0.68 | |
| Residual Average | 0.0 | |
| Price Variance | 0.09 |
Alger Emerging 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.
Alger Emerging Markets Technical Analysis
The output start index for this execution was two with a total number of output elements of fifty-nine. The Normalized Average True Range is used to analyze tradable apportunities for Alger Emerging Markets across different markets.
About Alger Emerging 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 Alger Emerging Markets 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 Alger Emerging Markets based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Alger Emerging Markets price pattern first instead of the macroeconomic environment surrounding Alger Emerging Markets. By analyzing Alger Emerging'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 Alger Emerging'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 Alger Emerging specific price patterns or momentum indicators. Please read more on our technical analysis page.
Alger Emerging March 5, 2026 Technical Indicators
Most technical analysis of Alger 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 Alger from various momentum indicators to cycle indicators. When you analyze Alger 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 | 0.0892 | |||
| Market Risk Adjusted Performance | (2.05) | |||
| Mean Deviation | 0.794 | |||
| Semi Deviation | 1.15 | |||
| Downside Deviation | 1.34 | |||
| Coefficient Of Variation | 874.83 | |||
| Standard Deviation | 1.12 | |||
| Variance | 1.25 | |||
| Information Ratio | 0.0748 | |||
| Jensen Alpha | 0.1198 | |||
| Total Risk Alpha | 0.0671 | |||
| Sortino Ratio | 0.0623 | |||
| Treynor Ratio | (2.06) | |||
| Maximum Drawdown | 3.88 | |||
| Value At Risk | (1.31) | |||
| Potential Upside | 1.92 | |||
| Downside Variance | 1.8 | |||
| Semi Variance | 1.31 | |||
| Expected Short fall | (0.81) | |||
| Skewness | (1.35) | |||
| Kurtosis | 5.77 |
Alger Emerging March 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 Alger 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 | 0.95 | ||
| Day Median Price | 12.84 | ||
| Day Typical Price | 12.84 | ||
| Price Action Indicator | (0.34) |
Other Information on Investing in Alger Mutual Fund
Alger Emerging financial ratios help investors to determine whether Alger 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 Alger with respect to the benefits of owning Alger Emerging security.
| Analyst Advice Analyst recommendations and target price estimates broken down by several categories | |
| Pair Correlation Compare performance and examine fundamental relationship between any two equity instruments |