Sands Capital Mutual Fund Forecast - Simple Regression

SCMGX Fund  USD 23.55  0.13  0.55%   
The Simple Regression forecasted value of Sands Capital Global on the next trading day is expected to be 23.12 with a mean absolute deviation of 0.38 and the sum of the absolute errors of 23.71. Sands Mutual Fund Forecast is based on your current time horizon.
At this time, The relative strength index (RSI) of Sands Capital's share price is at 53. This usually implies that the mutual fund is in nutural position, most likellhy at or near its resistance level. The main idea of RSI analysis is to track how fast people are buying or selling Sands Capital, making its price go up or down.

Momentum 53

 Impartial

 
Oversold
 
Overbought
The successful prediction of Sands Capital's future price could yield a significant profit. We analyze noise-free headlines and recent hype associated with Sands Capital Global, which may create opportunities for some arbitrage if properly timed.
Using Sands Capital hype-based prediction, you can estimate the value of Sands Capital Global from the perspective of Sands Capital response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Regression forecasted value of Sands Capital Global on the next trading day is expected to be 23.12 with a mean absolute deviation of 0.38 and the sum of the absolute errors of 23.71.

Sands Capital after-hype prediction price

    
  USD 23.55  
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as fund price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
  
Check out Historical Fundamental Analysis of Sands Capital to cross-verify your projections.

Sands Capital Additional Predictive Modules

Most predictive techniques to examine Sands price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Sands using various technical indicators. When you analyze Sands 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.
Simple Regression model is a single variable regression model that attempts to put a straight line through Sands Capital price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

Sands Capital Simple Regression Price Forecast For the 10th of January

Given 90 days horizon, the Simple Regression forecasted value of Sands Capital Global on the next trading day is expected to be 23.12 with a mean absolute deviation of 0.38, mean absolute percentage error of 0.25, and the sum of the absolute errors of 23.71.
Please note that although there have been many attempts to predict Sands 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 Sands Capital's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Sands Capital Mutual Fund Forecast Pattern

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Sands Capital Forecasted Value

In the context of forecasting Sands Capital's Mutual Fund value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Sands Capital's downside and upside margins for the forecasting period are 22.13 and 24.10, respectively. We have considered Sands Capital's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Market Value
23.55
23.12
Expected Value
24.10
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of Sands Capital mutual fund data series using in forecasting. Note that when a statistical model is used to represent Sands Capital 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 Criteria118.5585
BiasArithmetic mean of the errors None
MADMean absolute deviation0.3825
MAPEMean absolute percentage error0.0165
SAESum of the absolute errors23.7143
In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as Sands Capital Global historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Predictive Modules for Sands Capital

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Sands Capital Global. 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.
Hype
Prediction
LowEstimatedHigh
22.5623.5524.54
Details
Intrinsic
Valuation
LowRealHigh
22.4523.4424.43
Details
Bollinger
Band Projection (param)
LowMiddleHigh
22.7823.3123.84
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Sands Capital. Your research has to be compared to or analyzed against Sands Capital's peers to derive any actionable benefits. When done correctly, Sands Capital's 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 Sands Capital Global.

Other Forecasting Options for Sands Capital

For every potential investor in Sands, whether a beginner or expert, Sands Capital's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Sands Mutual Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Sands. Basic forecasting techniques help filter out the noise by identifying Sands Capital's price trends.

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

Sands Capital Global 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 Sands Capital'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 Sands Capital's current price.

Sands Capital Market Strength Events

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

Sands Capital Risk Indicators

The analysis of Sands Capital'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 Sands Capital's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting sands 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 Sands Mutual Fund

Sands Capital financial ratios help investors to determine whether Sands 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 Sands with respect to the benefits of owning Sands Capital security.
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