Loomis Sayles International Fund Price on July 18, 2023
LIGYX Fund | USD 11.05 0.08 0.73% |
If you're considering investing in Loomis Mutual Fund, it is important to understand the factors that can impact its price. As of today, the current price of Loomis Sayles stands at 11.05, as last reported on the 1st of December, with the highest price reaching 11.05 and the lowest price hitting 11.05 during the day. At this stage we consider Loomis Mutual Fund to be very steady. Loomis Sayles Intern has Sharpe Ratio of 0.11, which conveys that the entity had a 0.11% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Loomis Sayles, which you can use to evaluate the volatility of the fund. Please verify Loomis Sayles' Downside Deviation of 1.04, risk adjusted performance of 0.0766, and Mean Deviation of 0.7553 to check out if the risk estimate we provide is consistent with the expected return of 0.1%.
Loomis Mutual Fund price history is provided at the adjusted basis, taking into account all of the recent filings.
Loomis |
Sharpe Ratio = 0.1056
Best Portfolio | Best Equity | |||
Good Returns | ||||
Average Returns | ||||
Small Returns | ||||
Cash | LIGYX | Average Risk | High Risk | Huge Risk |
Negative Returns |
Estimated Market Risk
0.97 actual daily | 8 92% of assets are more volatile |
Expected Return
0.1 actual daily | 1 99% of assets have higher returns |
Risk-Adjusted Return
0.11 actual daily | 8 92% of assets perform better |
Based on monthly moving average Loomis Sayles is performing at about 8% of its full potential. If added to a well diversified portfolio the total return can be enhanced and market risk can be reduced. You can increase risk-adjusted return of Loomis Sayles by adding it to a well-diversified portfolio.
Loomis Sayles Valuation on July 18, 2023
It is possible to determine the worth of Loomis Sayles on a given historical date. On July 18, 2023 Loomis was worth 9.41 at the beginning of the trading date compared to the closed value of 9.41. We use multiple weighted factors in our valuation methodologies to arrive at the intrinsic value of Loomis Sayles mutual fund. Still, in general, we apply an absolute valuation method to find Loomis Sayles' value based on its fundamental and technical indicators available within our service. As compared to an absolute model, our relative valuation model uses a comparative analysis of Loomis Sayles where we calculate exposure to its market risk and evaluate relevant financial multiples and ratios against Loomis Sayles' related companies.
Open | High | Low | Close | Volume | |
9.43 | 9.43 | 9.43 | 9.43 | 1.00 | |
07/18/2023 | 9.41 | 9.41 | 9.41 | 9.41 | 1.00 |
9.41 | 9.41 | 9.41 | 9.41 | 1.00 |
Backtest Loomis Sayles | | | Loomis Sayles History | | | Loomis Sayles Valuation | Previous | Next |
Loomis Sayles Trading Date Momentum on July 18, 2023
On July 19 2023 Loomis Sayles International was traded for 9.41 at the closing time. The highest daily price throughout the period was 9.41 and the lowest price was 9.41 . There was no trading activity during the period 1.0. Lack of trading volume on 07/19/2023 did not cause price change. The trading delta at closing time to current closing price is 1.38% . |
Loomis Sayles Intern Fundamentals Correlations and Trends
By evaluating Loomis Sayles' financials over time, investors can gain insight into future company performance. However, you can also analyze the published financial statements to find patterns among Loomis Sayles' main balance sheet or income statement drivers and many other relevant indicators that can statistically be found significantly correlated or uncorrelated. Loomis financial account trend analysis is a perfect complement when working with valuation or volatility modules.About Loomis Sayles Mutual Fund history
Loomis Sayles investors dedicate a lot of time and effort to gaining insight into how a market's past behavior relates to its future. Access to timely market data for Loomis is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in Loomis Sayles Intern will depend on recognizing future opportunities and eliminating past mistakes. Historical data analysis is the study of market behavior over a given time. Recorded market-related data such as price, volatility, and volume can be quantified and studied over a defined period. Through a detailed examination of a market's past behavior, traders and investors can gain perspective on the inner workings of that market. The information obtained throughout analyzing Loomis Sayles stock prices may prove useful in developing a viable investing in Loomis Sayles
Under normal circumstances, the fund will invest primarily in equity securities, including common stocks and depositary receipts. It will primarily invest in securities of companies that maintain their principal place of business or conduct their principal business activities outside the U.S., companies that have their securities traded on non-U.S. exchanges or companies that have been formed under the laws of non-U.S. countries. The fund is non-diversified.
Loomis Sayles Mutual Fund Technical Analysis
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.
Price Boundaries
Loomis Sayles Period Price Range
Low | December 1, 2024
| High |
0.00 | 0.00 |
Loomis Sayles International cannot be verified against its exchange. Please verify the symbol is currently traded on NMFQS Exchange. If you still believe the symbol you are trying to look up is valid, please let us know, and we will check it as soon as possible.
Loomis Sayles December 1, 2024 Market Strength
Market strength indicators help investors to evaluate how Loomis Sayles mutual fund reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Loomis Sayles shares will generate the highest return on investment. By undertsting and applying Loomis Sayles mutual fund market strength indicators, traders can identify Loomis Sayles International entry and exit signals to maximize returns
Loomis Sayles Technical and Predictive Indicators
Predictive indicators are helping investors to find signals for Loomis Sayles' price direction in advance. Along with the technical and fundamental analysis of Loomis Mutual Fund historical price patterns, it is also worthwhile for investors to track various predictive indicators of Loomis to make sure they correctly time the market and exploit it's hidden potentials. Even though most predictive indicators are useful for the short-term horizon, it's virtually impossible to predict the unforeseen market. For traders with a short-term horizon, predictive indicators add value when properly applied. Long-term investors, however, may find many predictive indicators less useful.
Risk Adjusted Performance | 0.0766 | |||
Jensen Alpha | (0) | |||
Total Risk Alpha | (0.08) | |||
Sortino Ratio | (0.04) | |||
Treynor Ratio | 0.1233 |
Cycle Indicators | ||
Math Operators | ||
Math Transform | ||
Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
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.
Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios | |
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges | |
Competition Analyzer Analyze and compare many basic indicators for a group of related or unrelated entities |