Federated Hermes Mutual Fund Forecast - Accumulation Distribution
| QAMNX Fund | USD 20.22 0.12 0.59% |
Federated Mutual Fund Forecast is based on your current time horizon.
Federated |
| Check Federated Hermes Volatility | Backtest Federated Hermes | Trend Details |
Federated Hermes Trading Date Momentum
| On September 30 2024 Federated Hermes Mdt was traded for 19.67 at the closing time. The highest daily price throughout the period was 19.67 and the lowest price was 19.67 . There was no trading activity during the period 1.0. Lack of trading volume on 09/30/2024 added to the next day price jump. The trading delta at closing time to closing price of the next trading day was 0.56% . The overall trading delta to current closing price is 1.07% . |
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
| Compare Federated Hermes to competition |
Other Forecasting Options for Federated Hermes
For every potential investor in Federated, whether a beginner or expert, Federated Hermes' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Federated Mutual Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Federated. Basic forecasting techniques help filter out the noise by identifying Federated Hermes' price trends.Federated Hermes 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 Federated Hermes mutual fund to make a market-neutral strategy. Peer analysis of Federated Hermes could also be used in its relative valuation, which is a method of valuing Federated Hermes by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Federated Hermes Mdt 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 Federated Hermes' 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 Federated Hermes' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Federated Hermes Market Strength Events
Market strength indicators help investors to evaluate how Federated Hermes 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 Federated Hermes shares will generate the highest return on investment. By undertsting and applying Federated Hermes mutual fund market strength indicators, traders can identify Federated Hermes Mdt entry and exit signals to maximize returns.
| Daily Balance Of Power | (9,223,372,036,855) | |||
| Rate Of Daily Change | 0.99 | |||
| Day Median Price | 20.22 | |||
| Day Typical Price | 20.22 | |||
| Price Action Indicator | (0.06) | |||
| Period Momentum Indicator | (0.12) | |||
| Relative Strength Index | 81.97 |
Federated Hermes Risk Indicators
The analysis of Federated Hermes' 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 Federated Hermes' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting federated 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 | 0.307 | |||
| Semi Deviation | 0.2114 | |||
| Standard Deviation | 0.3978 | |||
| Variance | 0.1582 | |||
| Downside Variance | 0.1477 | |||
| Semi Variance | 0.0447 | |||
| Expected Short fall | (0.34) |
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.
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Other Information on Investing in Federated Mutual Fund
Federated Hermes financial ratios help investors to determine whether Federated 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 Federated with respect to the benefits of owning Federated Hermes security.
| Positions Ratings Determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
| Equity Analysis Research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities | |
| Price Ceiling Movement Calculate and plot Price Ceiling Movement for different equity instruments | |
| Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk |