BLUERUSH Media Stock Forecast - Polynomial Regression

BTV Stock  CAD 0.01  0.00  0.00%   
The Polynomial Regression forecasted value of BLUERUSH Media Group on the next trading day is expected to be 0.01 with a mean absolute deviation of 0 and the sum of the absolute errors of 0.17. BLUERUSH Stock Forecast is based on your current time horizon.
  
At this time, BLUERUSH Media's Net Receivables is fairly stable compared to the past year. Common Stock is likely to climb to about 10.6 M in 2024, whereas Other Current Liabilities is likely to drop slightly above 1.1 M in 2024.
BLUERUSH Media polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for BLUERUSH Media Group as well as the accuracy indicators are determined from the period prices.

BLUERUSH Media Polynomial Regression Price Forecast For the 24th of December

Given 90 days horizon, the Polynomial Regression forecasted value of BLUERUSH Media Group on the next trading day is expected to be 0.01 with a mean absolute deviation of 0, mean absolute percentage error of 0.000014, and the sum of the absolute errors of 0.17.
Please note that although there have been many attempts to predict BLUERUSH 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 BLUERUSH Media's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

BLUERUSH Media Stock Forecast Pattern

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BLUERUSH Media Forecasted Value

In the context of forecasting BLUERUSH Media'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. BLUERUSH Media's downside and upside margins for the forecasting period are 0.0001 and 21.05, respectively. We have considered BLUERUSH Media'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
0.01
0.0001
Downside
0.01
Expected Value
21.05
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 BLUERUSH Media stock data series using in forecasting. Note that when a statistical model is used to represent BLUERUSH Media 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 Criteria106.9382
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0029
MAPEMean absolute percentage error0.2152
SAESum of the absolute errors0.1742
A single variable polynomial regression model attempts to put a curve through the BLUERUSH Media 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 BLUERUSH Media

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as BLUERUSH Media Group. 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
0.000.0121.06
Details
Intrinsic
Valuation
LowRealHigh
0.000.0121.06
Details

Other Forecasting Options for BLUERUSH Media

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

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

BLUERUSH Media Group 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 BLUERUSH Media'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 BLUERUSH Media's current price.

BLUERUSH Media Market Strength Events

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

BLUERUSH Media Risk Indicators

The analysis of BLUERUSH Media'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 BLUERUSH Media's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting bluerush stock 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.

Thematic Opportunities

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Additional Tools for BLUERUSH Stock Analysis

When running BLUERUSH Media's price analysis, check to measure BLUERUSH Media'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 BLUERUSH Media is operating at the current time. Most of BLUERUSH Media's value examination focuses on studying past and present price action to predict the probability of BLUERUSH Media's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move BLUERUSH Media's price. Additionally, you may evaluate how the addition of BLUERUSH Media to your portfolios can decrease your overall portfolio volatility.