The Long Term Fund Technical Analysis
| BSGLX Fund | USD 33.62 0.67 1.95% |
As of the 3rd of March, Long Term secures the Standard Deviation of 1.34, market risk adjusted performance of 0.9379, and Risk Adjusted Performance of (0.07). The Long Term technical analysis lets you operate historical price patterns with an objective to determine a pattern that forecasts the direction of the fund's future prices.
Long Term Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Long, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to LongLong |
Long Term '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 Long Term'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 Long Term.
| 12/03/2025 |
| 03/03/2026 |
If you would invest 0.00 in Long Term on December 3, 2025 and sell it all today you would earn a total of 0.00 from holding The Long Term or generate 0.0% return on investment in Long Term over 90 days. Long Term is related to or competes with Qs Us, Dana Large, Harbor Large, Lord Abbett, Fidelity Series, and Dodge Cox. The fund invests at least 80 percent of its net assets in equity securities More
Long Term 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 Long Term'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 The Long Term upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.13) | |||
| Maximum Drawdown | 6.74 | |||
| Value At Risk | (2.95) | |||
| Potential Upside | 1.77 |
Long Term Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Long Term's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Long Term's standard deviation. In reality, there are many statistical measures that can use Long Term historical prices to predict the future Long Term's volatility.| Risk Adjusted Performance | (0.07) | |||
| Jensen Alpha | (0.13) | |||
| Total Risk Alpha | (0.20) | |||
| Treynor Ratio | 0.9279 |
Long Term March 3, 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 | (0.07) | |||
| Market Risk Adjusted Performance | 0.9379 | |||
| Mean Deviation | 0.9759 | |||
| Coefficient Of Variation | (1,048) | |||
| Standard Deviation | 1.34 | |||
| Variance | 1.8 | |||
| Information Ratio | (0.13) | |||
| Jensen Alpha | (0.13) | |||
| Total Risk Alpha | (0.20) | |||
| Treynor Ratio | 0.9279 | |||
| Maximum Drawdown | 6.74 | |||
| Value At Risk | (2.95) | |||
| Potential Upside | 1.77 | |||
| Skewness | (0.63) | |||
| Kurtosis | 0.6961 |
Long Term Backtested Returns
Long Term has Sharpe Ratio of -0.14, which conveys that the entity had a -0.14 % return per unit of risk over the last 3 months. Long Term exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify Long Term's Risk Adjusted Performance of (0.07), market risk adjusted performance of 0.9379, and Standard Deviation of 1.34 to check out the risk estimate we provide. The fund secures a Beta (Market Risk) of -0.15, which conveys not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Long Term are expected to decrease at a much lower rate. During the bear market, Long Term is likely to outperform the market.
Auto-correlation | 0.01 |
Virtually no predictability
The Long Term has virtually no predictability. Overlapping area represents the amount of predictability between Long Term time series from 3rd of December 2025 to 17th of January 2026 and 17th of January 2026 to 3rd 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 Long Term price movement. The serial correlation of 0.01 indicates that just 1.0% of current Long Term price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.01 | |
| Spearman Rank Test | -0.14 | |
| Residual Average | 0.0 | |
| Price Variance | 2.33 |
Long Term 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.
Long Term 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 Long Term across different markets.
About Long Term 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 The Long Term 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 The Long Term based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Long Term price pattern first instead of the macroeconomic environment surrounding Long Term. By analyzing Long Term'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 Long Term'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 Long Term specific price patterns or momentum indicators. Please read more on our technical analysis page.
Long Term March 3, 2026 Technical Indicators
Most technical analysis of Long 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 Long from various momentum indicators to cycle indicators. When you analyze Long 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 | (0.07) | |||
| Market Risk Adjusted Performance | 0.9379 | |||
| Mean Deviation | 0.9759 | |||
| Coefficient Of Variation | (1,048) | |||
| Standard Deviation | 1.34 | |||
| Variance | 1.8 | |||
| Information Ratio | (0.13) | |||
| Jensen Alpha | (0.13) | |||
| Total Risk Alpha | (0.20) | |||
| Treynor Ratio | 0.9279 | |||
| Maximum Drawdown | 6.74 | |||
| Value At Risk | (2.95) | |||
| Potential Upside | 1.77 | |||
| Skewness | (0.63) | |||
| Kurtosis | 0.6961 |
Long Term March 3, 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 Long 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 | 0.98 | ||
| Day Median Price | 33.62 | ||
| Day Typical Price | 33.62 | ||
| Price Action Indicator | (0.34) |
Other Information on Investing in Long Mutual Fund
Long Term financial ratios help investors to determine whether Long 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 Long with respect to the benefits of owning Long Term security.
| CEOs Directory Screen CEOs from public companies around the world | |
| Portfolio File Import Quickly import all of your third-party portfolios from your local drive in csv format | |
| Portfolio Manager State of the art Portfolio Manager to monitor and improve performance of your invested capital | |
| Price Ceiling Movement Calculate and plot Price Ceiling Movement for different equity instruments |