Floating Rate Mutual Fund Forecast - Accumulation Distribution
| LFRIX Fund | USD 8.19 0.01 0.12% |
Floating Mutual Fund Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Floating Rate stock prices and determine the direction of Floating Rate Fund's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Floating Rate's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of Floating Rate to cross-verify your projections. Floating |
Most investors in Floating Rate 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 Floating Rate's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Floating Rate's price structures and extracts relationships that further increase the generated results' accuracy.
The accumulation distribution (A/D) indicator shows the degree to which Floating Rate is accumulated by the market over a given period. It uses the quote sensitivity to the highest or lowest daily price of Floating Rate Fund to determine if accumulation or reduction is taking place in the market. This value is adjusted by Floating Rate trading volume to give more weight to distributions with higher volume over lower volume.| Previous Accumulation Distribution | Accumulation Distribution | Trend |
| 0.0147 | 0.0147 |
| Check Floating Rate Volatility | Backtest Floating Rate | Trend Details |
Floating Rate Trading Date Momentum
| On April 01 2024 Floating Rate Fund was traded for 8.13 at the closing time. The highest daily price throughout the period was 8.19 and the lowest price was 8.13 . There was no trading activity during the period 1.0. Lack of trading volume on 04/01/2024 added to the next day price jump. The trading delta at closing time to closing price of the next trading day was 0.87% . The overall trading delta to current closing price is 1.61% . |
Accumulation distribution indicator can signal that a trend is either nearing completion, at a continuation, or is about to break-outs. The actual value of this indicator is of no significance. What is significant is the change in value of over time. The formula for A/D of a given trading day can be expressed as follow: ((Close - Low) - (High - Close)) / (High - Low) X Volume
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Other Forecasting Options for Floating Rate
For every potential investor in Floating, whether a beginner or expert, Floating Rate's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Floating Mutual Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Floating. Basic forecasting techniques help filter out the noise by identifying Floating Rate's price trends.Floating Rate 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 Floating Rate mutual fund to make a market-neutral strategy. Peer analysis of Floating Rate could also be used in its relative valuation, which is a method of valuing Floating Rate by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Floating Rate 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 Floating Rate's 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 Floating Rate's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Floating Rate Market Strength Events
Market strength indicators help investors to evaluate how Floating Rate 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 Floating Rate shares will generate the highest return on investment. By undertsting and applying Floating Rate mutual fund market strength indicators, traders can identify Floating Rate Fund entry and exit signals to maximize returns.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 8.19 | |||
| Day Typical Price | 8.19 | |||
| Price Action Indicator | 0.005 | |||
| Period Momentum Indicator | 0.01 | |||
| Relative Strength Index | 80.27 |
Floating Rate Risk Indicators
The analysis of Floating Rate's 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 Floating Rate's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting floating 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 | 0.1026 | |||
| Standard Deviation | 0.2081 | |||
| Variance | 0.0433 |
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.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Floating Rate in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Floating Rate's short interest history, or implied volatility extrapolated from Floating Rate options trading.
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Try AI Portfolio ArchitectCheck out Historical Fundamental Analysis of Floating Rate to cross-verify your projections. You can also try the Technical Analysis module to check basic technical indicators and analysis based on most latest market data.