Core Fixed Income Fund Technical Analysis
| TIIUX Fund | USD 6.86 0.02 0.29% |
As of the 23rd of January, Core Fixed shows the Risk Adjusted Performance of (0.02), downside deviation of 0.2382, and Mean Deviation of 0.127. In respect to fundamental indicators, the technical analysis model gives you tools to check existing technical drivers of Core Fixed, as well as the relationship between them.
Core Fixed Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Core, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to CoreCore |
Core Fixed '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 Core Fixed'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 Core Fixed.
| 10/25/2025 |
| 01/23/2026 |
If you would invest 0.00 in Core Fixed on October 25, 2025 and sell it all today you would earn a total of 0.00 from holding Core Fixed Income or generate 0.0% return on investment in Core Fixed over 90 days. Core Fixed is related to or competes with Gmo Emerging, Sa Emerging, Goldman Sachs, Fidelity Series, Pace International, and Rbc Emerging. The fund will invest, under normal market conditions, at least 80 percent of its net assets in fixed income instruments More
Core Fixed 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 Core Fixed'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 Core Fixed Income upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.2382 | |||
| Information Ratio | (0.59) | |||
| Maximum Drawdown | 0.7287 | |||
| Value At Risk | (0.29) | |||
| Potential Upside | 0.292 |
Core Fixed Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Core Fixed's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Core Fixed's standard deviation. In reality, there are many statistical measures that can use Core Fixed historical prices to predict the future Core Fixed's volatility.| Risk Adjusted Performance | (0.02) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | (0.43) | |||
| Treynor Ratio | (0.17) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Core Fixed'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.
Core Fixed January 23, 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 | (0.02) | |||
| Market Risk Adjusted Performance | (0.16) | |||
| Mean Deviation | 0.127 | |||
| Semi Deviation | 0.1461 | |||
| Downside Deviation | 0.2382 | |||
| Coefficient Of Variation | 7329.77 | |||
| Standard Deviation | 0.1728 | |||
| Variance | 0.0299 | |||
| Information Ratio | (0.59) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | (0.43) | |||
| Treynor Ratio | (0.17) | |||
| Maximum Drawdown | 0.7287 | |||
| Value At Risk | (0.29) | |||
| Potential Upside | 0.292 | |||
| Downside Variance | 0.0567 | |||
| Semi Variance | 0.0213 | |||
| Expected Short fall | (0.19) | |||
| Skewness | (0.26) | |||
| Kurtosis | (0.29) |
Core Fixed Income Backtested Returns
At this stage we consider Core Mutual Fund to be out of control. Core Fixed Income secures Sharpe Ratio (or Efficiency) of close to zero, which signifies that the fund had a close to zero % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Core Fixed Income, which you can use to evaluate the volatility of the entity. Please confirm Core Fixed's Downside Deviation of 0.2382, mean deviation of 0.127, and Risk Adjusted Performance of (0.02) to double-check if the risk estimate we provide is consistent with the expected return of 2.0E-4%. The fund shows a Beta (market volatility) of 0.0458, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Core Fixed's returns are expected to increase less than the market. However, during the bear market, the loss of holding Core Fixed is expected to be smaller as well.
Auto-correlation | 0.16 |
Very weak predictability
Core Fixed Income has very weak predictability. Overlapping area represents the amount of predictability between Core Fixed time series from 25th of October 2025 to 9th of December 2025 and 9th of December 2025 to 23rd 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 Core Fixed Income price movement. The serial correlation of 0.16 indicates that over 16.0% of current Core Fixed price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.16 | |
| Spearman Rank Test | 0.36 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Core Fixed 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.
Core Fixed Income 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 Core Fixed Income volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Core Fixed 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 Core Fixed Income 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 Core Fixed Income based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Core Fixed Income price pattern first instead of the macroeconomic environment surrounding Core Fixed Income. By analyzing Core Fixed'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 Core Fixed'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 Core Fixed specific price patterns or momentum indicators. Please read more on our technical analysis page.
Core Fixed January 23, 2026 Technical Indicators
Most technical analysis of Core 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 Core from various momentum indicators to cycle indicators. When you analyze Core 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 | (0.02) | |||
| Market Risk Adjusted Performance | (0.16) | |||
| Mean Deviation | 0.127 | |||
| Semi Deviation | 0.1461 | |||
| Downside Deviation | 0.2382 | |||
| Coefficient Of Variation | 7329.77 | |||
| Standard Deviation | 0.1728 | |||
| Variance | 0.0299 | |||
| Information Ratio | (0.59) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | (0.43) | |||
| Treynor Ratio | (0.17) | |||
| Maximum Drawdown | 0.7287 | |||
| Value At Risk | (0.29) | |||
| Potential Upside | 0.292 | |||
| Downside Variance | 0.0567 | |||
| Semi Variance | 0.0213 | |||
| Expected Short fall | (0.19) | |||
| Skewness | (0.26) | |||
| Kurtosis | (0.29) |
Core Fixed January 23, 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 Core 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 | 6.86 | ||
| Day Typical Price | 6.86 | ||
| Price Action Indicator | 0.01 |
Other Information on Investing in Core Mutual Fund
Core Fixed financial ratios help investors to determine whether Core 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 Core with respect to the benefits of owning Core Fixed security.
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