Golden Ridge Stock Forecast - Polynomial Regression

GLDN Stock  CAD 0.08  0.00  0.00%   
The Polynomial Regression forecasted value of Golden Ridge Resources on the next trading day is expected to be 0.08 with a mean absolute deviation of 0 and the sum of the absolute errors of 0. Golden Stock Forecast is based on your current time horizon.
  
At this time, Golden Ridge's Accounts Payable is fairly stable compared to the past year. Cash is likely to climb to about 1.9 M in 2024, whereas Total Current Liabilities is likely to drop slightly above 264.1 K in 2024.
Golden Ridge polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Golden Ridge Resources as well as the accuracy indicators are determined from the period prices.

Golden Ridge Polynomial Regression Price Forecast For the 14th of December 2024

Given 90 days horizon, the Polynomial Regression forecasted value of Golden Ridge Resources on the next trading day is expected to be 0.08 with a mean absolute deviation of 0, mean absolute percentage error of 0, and the sum of the absolute errors of 0.
Please note that although there have been many attempts to predict Golden Stock 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 Golden Ridge's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Golden Ridge Stock Forecast Pattern

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Golden Ridge Forecasted Value

In the context of forecasting Golden Ridge's Stock 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. Golden Ridge's downside and upside margins for the forecasting period are 0.08 and 0.08, respectively. We have considered Golden Ridge'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
0.08
0.08
Expected Value
0.08
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 Golden Ridge stock data series using in forecasting. Note that when a statistical model is used to represent Golden Ridge stock, 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 Criteria48.6254
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0
MAPEMean absolute percentage error0.0
SAESum of the absolute errors0.0
A single variable polynomial regression model attempts to put a curve through the Golden Ridge 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 Golden Ridge

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Golden Ridge Resources. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock 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
0.080.080.08
Details
Intrinsic
Valuation
LowRealHigh
0.070.070.09
Details

Other Forecasting Options for Golden Ridge

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

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

Golden Ridge Resources Technical and Predictive Analytics

The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Golden Ridge'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 Golden Ridge's current price.

Golden Ridge Market Strength Events

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

Thematic Opportunities

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Additional Tools for Golden Stock Analysis

When running Golden Ridge's price analysis, check to measure Golden Ridge's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Golden Ridge is operating at the current time. Most of Golden Ridge's value examination focuses on studying past and present price action to predict the probability of Golden Ridge's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Golden Ridge's price. Additionally, you may evaluate how the addition of Golden Ridge to your portfolios can decrease your overall portfolio volatility.