Loomis Sayles Inflation Fund Technical Analysis
| LIPRX Fund | USD 9.66 0.01 0.10% |
As of the 28th of January, Loomis Sayles secures the Standard Deviation of 0.1693, risk adjusted performance of (0.07), and Mean Deviation of 0.1256. In connection with fundamental indicators, the technical analysis model lets you check existing technical drivers of Loomis Sayles Inflation, as well as the relationship between them.
Loomis Sayles Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Loomis, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to LoomisLoomis |
Loomis Sayles '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 Loomis Sayles' 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 Loomis Sayles.
| 10/30/2025 |
| 01/28/2026 |
If you would invest 0.00 in Loomis Sayles on October 30, 2025 and sell it all today you would earn a total of 0.00 from holding Loomis Sayles Inflation or generate 0.0% return on investment in Loomis Sayles over 90 days. Loomis Sayles is related to or competes with Western Asset, Becker Value, Matthews China, Amg Managers, Amg Managers, IShares Trust, and Consumer Finance. The fund will normally invest at least 80 percent of its net assets in inflation-protected securities More
Loomis Sayles 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 Loomis Sayles' 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 Loomis Sayles Inflation upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.52) | |||
| Maximum Drawdown | 0.7269 | |||
| Value At Risk | (0.31) | |||
| Potential Upside | 0.2081 |
Loomis Sayles Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Loomis Sayles' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Loomis Sayles' standard deviation. In reality, there are many statistical measures that can use Loomis Sayles historical prices to predict the future Loomis Sayles' volatility.| Risk Adjusted Performance | (0.07) | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.04) | |||
| Treynor Ratio | (0.24) |
Loomis Sayles January 28, 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 | (0.23) | |||
| Mean Deviation | 0.1256 | |||
| Coefficient Of Variation | (1,832) | |||
| Standard Deviation | 0.1693 | |||
| Variance | 0.0287 | |||
| Information Ratio | (0.52) | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.04) | |||
| Treynor Ratio | (0.24) | |||
| Maximum Drawdown | 0.7269 | |||
| Value At Risk | (0.31) | |||
| Potential Upside | 0.2081 | |||
| Skewness | (0.30) | |||
| Kurtosis | 0.4815 |
Loomis Sayles Inflation Backtested Returns
At this stage we consider Loomis Mutual Fund to be very steady. Loomis Sayles Inflation has Sharpe Ratio of 0.0224, which conveys that the entity had a 0.0224 % return per unit of risk over the last 3 months. We have found twenty-two technical indicators for Loomis Sayles, which you can use to evaluate the volatility of the fund. Please verify Loomis Sayles' Risk Adjusted Performance of (0.07), standard deviation of 0.1693, and Mean Deviation of 0.1256 to check out if the risk estimate we provide is consistent with the expected return of 0.0036%. The fund secures a Beta (Market Risk) of 0.08, which conveys not very significant fluctuations relative to the market. As returns on the market increase, Loomis Sayles' returns are expected to increase less than the market. However, during the bear market, the loss of holding Loomis Sayles is expected to be smaller as well.
Auto-correlation | 0.09 |
Virtually no predictability
Loomis Sayles Inflation has virtually no predictability. Overlapping area represents the amount of predictability between Loomis Sayles time series from 30th of October 2025 to 14th of December 2025 and 14th of December 2025 to 28th 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 Loomis Sayles Inflation price movement. The serial correlation of 0.09 indicates that less than 9.0% of current Loomis Sayles price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.09 | |
| Spearman Rank Test | 0.06 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Loomis Sayles 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.
Loomis Sayles Inflation 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 Loomis Sayles Inflation volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Loomis Sayles 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 Loomis Sayles Inflation 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 Loomis Sayles Inflation based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Loomis Sayles Inflation price pattern first instead of the macroeconomic environment surrounding Loomis Sayles Inflation. By analyzing Loomis Sayles'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 Loomis Sayles'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 Loomis Sayles specific price patterns or momentum indicators. Please read more on our technical analysis page.
Loomis Sayles January 28, 2026 Technical Indicators
Most technical analysis of Loomis 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 Loomis from various momentum indicators to cycle indicators. When you analyze Loomis 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 | (0.23) | |||
| Mean Deviation | 0.1256 | |||
| Coefficient Of Variation | (1,832) | |||
| Standard Deviation | 0.1693 | |||
| Variance | 0.0287 | |||
| Information Ratio | (0.52) | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.04) | |||
| Treynor Ratio | (0.24) | |||
| Maximum Drawdown | 0.7269 | |||
| Value At Risk | (0.31) | |||
| Potential Upside | 0.2081 | |||
| Skewness | (0.30) | |||
| Kurtosis | 0.4815 |
Loomis Sayles Inflation One Year Return
Based on the recorded statements, Loomis Sayles Inflation has an One Year Return of 6.2295%. This is 33.16% lower than that of the Loomis Sayles Funds family and significantly higher than that of the Inflation-Protected Bond 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.Loomis Sayles January 28, 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 Loomis 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 | 9.66 | ||
| Day Typical Price | 9.66 | ||
| Price Action Indicator | 0.00 |
Other Information on Investing in Loomis Mutual Fund
Loomis Sayles financial ratios help investors to determine whether Loomis 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 Loomis with respect to the benefits of owning Loomis Sayles security.
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