LO Funds Fund Forecast - Polynomial Regression

0P00001R8Q   203.64  0.00  0.00%   
The Polynomial Regression forecasted value of LO Funds Swiss on the next trading day is expected to be 208.75 with a mean absolute deviation of 1.96 and the sum of the absolute errors of 119.72. Investors can use prediction functions to forecast LO Funds' fund prices and determine the direction of LO Funds Swiss's future trends based on various well-known forecasting models. However, exclusively looking at the historical price movement is usually misleading.
  
LO Funds polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for LO Funds Swiss as well as the accuracy indicators are determined from the period prices.

LO Funds Polynomial Regression Price Forecast For the 27th of December

Given 90 days horizon, the Polynomial Regression forecasted value of LO Funds Swiss on the next trading day is expected to be 208.75 with a mean absolute deviation of 1.96, mean absolute percentage error of 5.32, and the sum of the absolute errors of 119.72.
Please note that although there have been many attempts to predict 0P00001R8Q 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 LO Funds' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

LO Funds Fund Forecast Pattern

LO Funds Forecasted Value

In the context of forecasting LO Funds' 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. LO Funds' downside and upside margins for the forecasting period are 208.08 and 209.41, respectively. We have considered LO Funds' 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
203.64
208.08
Downside
208.75
Expected Value
209.41
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of LO Funds fund data series using in forecasting. Note that when a statistical model is used to represent LO Funds 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 Criteria119.782
BiasArithmetic mean of the errors None
MADMean absolute deviation1.9626
MAPEMean absolute percentage error0.0093
SAESum of the absolute errors119.7167
A single variable polynomial regression model attempts to put a curve through the LO Funds historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm

Predictive Modules for LO Funds

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as LO Funds Swiss. Regardless of method or technology, however, to accurately forecast the fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the 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.

Other Forecasting Options for LO Funds

For every potential investor in 0P00001R8Q, whether a beginner or expert, LO Funds' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. 0P00001R8Q Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in 0P00001R8Q. Basic forecasting techniques help filter out the noise by identifying LO Funds' price trends.

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

LO Funds Swiss Technical and Predictive Analytics

The fund market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of LO Funds' 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 LO Funds' current price.

LO Funds Market Strength Events

Market strength indicators help investors to evaluate how LO Funds fund reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading LO Funds shares will generate the highest return on investment. By undertsting and applying LO Funds fund market strength indicators, traders can identify LO Funds Swiss entry and exit signals to maximize returns.

LO Funds Risk Indicators

The analysis of LO Funds' 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 LO Funds' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting 0p00001r8q 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.
Stocks Directory
Find actively traded stocks across global markets
AI Portfolio Architect
Use AI to generate optimal portfolios and find profitable investment opportunities
Competition Analyzer
Analyze and compare many basic indicators for a group of related or unrelated entities
Sign In To Macroaxis
Sign in to explore Macroaxis' wealth optimization platform and fintech modules