Fidelity Managed Retirement Fund Statistic Functions Linear Regression

FRHMX Fund  USD 56.56  0.10  0.18%   
Fidelity Managed statistic functions tool provides the execution environment for running the Linear Regression function and other technical functions against Fidelity Managed. Fidelity Managed value trend is the prevailing direction of the price over some defined period of time. The concept of trend is an important idea in technical analysis, including the analysis of statistic functions indicators. As with most other technical indicators, the Linear Regression function function is designed to identify and follow existing trends. Fidelity Managed statistical functions help analysts to determine different price movement patterns based on how price series statistical indicators change over time. Please specify Time Period to run this model.

Execute Function
The output start index for this execution was thirteen with a total number of output elements of fourty-eight. The Linear Regression model generates relationship between price series of Fidelity Managed Ret and its peer or benchmark and helps predict Fidelity Managed future price from its past values.

Fidelity Managed Technical Analysis Modules

Most technical analysis of Fidelity Managed 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 Fidelity from various momentum indicators to cycle indicators. When you analyze Fidelity charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.

About Fidelity Managed Predictive Technical Analysis

Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Fidelity Managed Retirement. We use our internally-developed statistical techniques to arrive at the intrinsic value of Fidelity Managed Retirement based on widely used predictive technical indicators. In general, we focus on analyzing Fidelity Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Fidelity Managed's daily price indicators and compare them against related drivers, such as statistic functions and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of Fidelity Managed's intrinsic value. In addition to deriving basic predictive indicators for Fidelity Managed, we also check how macroeconomic factors affect Fidelity Managed price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
56.3156.5656.81
Details
Intrinsic
Valuation
LowRealHigh
56.3256.5756.82
Details
Naive
Forecast
LowNextHigh
56.2356.4856.74
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
55.7956.2456.69
Details

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 Fidelity Managed 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, Fidelity Managed's short interest history, or implied volatility extrapolated from Fidelity Managed options trading.

Trending Themes

If you are a self-driven investor, you will appreciate our idea-generating investing themes. Our themes help you align your investments inspirations with your core values and are essential building blocks of your portfolios. A typical investing theme is an unweighted collection of up to 20 funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of equities with common characteristics such as industry and growth potential, volatility, or market segment.
Macroaxis Index Idea
Macroaxis Index
Invested over 90 shares
Warren Buffett Holdings Idea
Warren Buffett Holdings
Invested over 40 shares
FinTech Idea
FinTech
Invested over 40 shares
Social Domain Idea
Social Domain
Invested few shares
Chemicals Idea
Chemicals
Invested over 30 shares
Impulse Idea
Impulse
Invested over 100 shares
Momentum Idea
Momentum
Invested over 50 shares
Cash Cows Idea
Cash Cows
Invested few shares
Business Services Idea
Business Services
Invested over 100 shares
Artificial Intelligence Idea
Artificial Intelligence
Invested few shares

Other Information on Investing in Fidelity Mutual Fund

Fidelity Managed financial ratios help investors to determine whether Fidelity 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 Fidelity with respect to the benefits of owning Fidelity Managed security.
Portfolio Suggestion
Get suggestions outside of your existing asset allocation including your own model portfolios
Equity Forecasting
Use basic forecasting models to generate price predictions and determine price momentum
Latest Portfolios
Quick portfolio dashboard that showcases your latest portfolios
Money Managers
Screen money managers from public funds and ETFs managed around the world