Victory Rs Mutual Fund Forecast - Naive Prediction

RSIFX Fund  USD 19.14  0.00  0.00%   
The Naive Prediction forecasted value of Victory Rs Science on the next trading day is expected to be 19.56 with a mean absolute deviation of 0.21 and the sum of the absolute errors of 12.52. Victory Mutual Fund Forecast is based on your current time horizon.
  
Most investors in Victory Rs 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 Victory Rs' time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Victory Rs' price structures and extracts relationships that further increase the generated results' accuracy.
A naive forecasting model for Victory Rs is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Victory Rs Science value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

Victory Rs Naive Prediction Price Forecast For the 18th of June 2024

Given 90 days horizon, the Naive Prediction forecasted value of Victory Rs Science on the next trading day is expected to be 19.56 with a mean absolute deviation of 0.21, mean absolute percentage error of 0.07, and the sum of the absolute errors of 12.52.
Please note that although there have been many attempts to predict Victory Mutual Fund prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Victory Rs' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Victory Rs Mutual Fund Forecast Pattern

Backtest Victory RsVictory Rs Price PredictionBuy or Sell Advice 

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Victory Rs mutual fund data series using in forecasting. Note that when a statistical model is used to represent Victory Rs mutual fund, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.
AICAkaike Information Criteria115.4003
BiasArithmetic mean of the errors None
MADMean absolute deviation0.2053
MAPEMean absolute percentage error0.0112
SAESum of the absolute errors12.5206
This model is not at all useful as a medium-long range forecasting tool of Victory Rs Science. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict Victory Rs. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for Victory Rs

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Victory Rs Science. Regardless of method or technology, however, to accurately forecast the mutual fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the mutual fund market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Victory Rs' price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
19.1419.1419.14
Details
Intrinsic
Valuation
LowRealHigh
18.6918.6921.05
Details
Bollinger
Band Projection (param)
LowMiddleHigh
17.8618.7919.72
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Victory Rs. Your research has to be compared to or analyzed against Victory Rs' peers to derive any actionable benefits. When done correctly, Victory Rs' competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Victory Rs Science.

Victory Rs 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 Victory Rs mutual fund to make a market-neutral strategy. Peer analysis of Victory Rs could also be used in its relative valuation, which is a method of valuing Victory Rs by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Victory Rs Market Strength Events

Market strength indicators help investors to evaluate how Victory Rs 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 Victory Rs shares will generate the highest return on investment. By undertsting and applying Victory Rs mutual fund market strength indicators, traders can identify Victory Rs Science entry and exit signals to maximize returns.

Victory Rs Risk Indicators

The analysis of Victory Rs' 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 Victory Rs' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting victory 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.
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 Victory Mutual Fund

Victory Rs financial ratios help investors to determine whether Victory 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 Victory with respect to the benefits of owning Victory Rs security.
Balance Of Power
Check stock momentum by analyzing Balance Of Power indicator and other technical ratios
Global Markets Map
Get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes
Correlation Analysis
Reduce portfolio risk simply by holding instruments which are not perfectly correlated
Portfolio Center
All portfolio management and optimization tools to improve performance of your portfolios