Loomis Sayles Mutual Fund Forecast - Price Action Indicator
LSBDX Fund | USD 11.24 0.02 0.18% |
Loomis Mutual Fund Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Loomis Sayles stock prices and determine the direction of Loomis Sayles Bond's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Loomis Sayles' historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of Loomis Sayles to cross-verify your projections. Loomis |
Most investors in Loomis Sayles cannot accurately predict what will happen the next trading day because, historically, fund markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Loomis Sayles' time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Loomis Sayles' price structures and extracts relationships that further increase the generated results' accuracy.
Price Action indicator evaluates an asset for a given trading period using the following formula: ((close - open) + (close - high) + (close - low)) / 2. This indicator is consistent with the interpretation of Japanese candlestick patterns.Check Loomis Sayles Volatility | Backtest Loomis Sayles | Information Ratio |
Loomis Sayles Trading Date Momentum
On April 28 2024 Loomis Sayles Bond was traded for 11.24 at the closing time. The highest daily price throughout the period was 11.24 and the lowest price was 11.24 . There was no trading activity during the period 0.0. Lack of trading volume on 04/28/2024 did not cause price change. The trading delta at closing time to current closing price is 0.00% . |
Price Action Indicator (or PAIN) was developed by Michael B. Geraty and published in 'Futures' magazine in August 1997.
Compare Loomis Sayles to competition |
Other Forecasting Options for Loomis Sayles
For every potential investor in Loomis, whether a beginner or expert, Loomis Sayles' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Loomis Mutual Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Loomis. Basic forecasting techniques help filter out the noise by identifying Loomis Sayles' price trends.Loomis Sayles Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Loomis Sayles mutual fund to make a market-neutral strategy. Peer analysis of Loomis Sayles could also be used in its relative valuation, which is a method of valuing Loomis Sayles by comparing valuation metrics with similar companies.
Risk & Return | Correlation |
Loomis Sayles Bond Technical and Predictive Analytics
The mutual fund market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Loomis Sayles' price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Loomis Sayles' current price.Cycle Indicators | ||
Math Operators | ||
Math Transform | ||
Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
Loomis Sayles Market Strength Events
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 Bond entry and exit signals to maximize returns.
Daily Balance Of Power | (9,223,372,036,855) | |||
Rate Of Daily Change | 1.0 | |||
Day Median Price | 11.24 | |||
Day Typical Price | 11.24 | |||
Price Action Indicator | (0.01) | |||
Period Momentum Indicator | (0.02) | |||
Relative Strength Index | 29.27 |
Loomis Sayles Risk Indicators
The analysis of Loomis Sayles' basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Loomis Sayles' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting loomis mutual fund prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
Mean Deviation | 0.2744 | |||
Standard Deviation | 0.3588 | |||
Variance | 0.1287 |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio ArchitectCheck out Historical Fundamental Analysis of Loomis Sayles to cross-verify your projections. Note that the Loomis Sayles Bond information on this page should be used as a complementary analysis to other Loomis Sayles' statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the FinTech Suite module to use AI to screen and filter profitable investment opportunities.