Digi Power Stock Forecast - Simple Regression

DGX Stock   3.94  0.24  6.49%   
The Simple Regression forecasted value of Digi Power X on the next trading day is expected to be 3.49 with a mean absolute deviation of 0.75 and the sum of the absolute errors of 45.80. Digi Stock Forecast is based on your current time horizon.
At this time, the relative strength index (RSI) of Digi Power's share price is approaching 47 suggesting that the stock is in nutural position, most likellhy at or near its support level. The main point of RSI analysis is to track how fast people are buying or selling Digi Power, making its price go up or down.

Momentum 47

 Impartial

 
Oversold
 
Overbought
The successful prediction of Digi Power's future price could yield a significant profit. Please, note that this module is not intended to be used solely to calculate an intrinsic value of Digi Power and does not consider all of the tangible or intangible factors available from Digi Power's fundamental data. We analyze noise-free headlines and recent hype associated with Digi Power X, which may create opportunities for some arbitrage if properly timed. Below are the key fundamental drivers impacting Digi Power's stock price prediction:
EPS Estimate Current Year
(0.57)
EPS Estimate Next Year
(0.39)
Quarterly Revenue Growth
(0.11)
Using Digi Power hype-based prediction, you can estimate the value of Digi Power X from the perspective of Digi Power response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Regression forecasted value of Digi Power X on the next trading day is expected to be 3.49 with a mean absolute deviation of 0.75 and the sum of the absolute errors of 45.80.

Digi Power after-hype prediction price

    
  CAD 3.67  
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 stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
  
Check out Historical Fundamental Analysis of Digi Power to cross-verify your projections.

Digi Power Additional Predictive Modules

Most predictive techniques to examine Digi price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Digi using various technical indicators. When you analyze Digi 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 Digi Power 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.

Digi Power Simple Regression Price Forecast For the 10th of January

Given 90 days horizon, the Simple Regression forecasted value of Digi Power X on the next trading day is expected to be 3.49 with a mean absolute deviation of 0.75, mean absolute percentage error of 0.98, and the sum of the absolute errors of 45.80.
Please note that although there have been many attempts to predict Digi 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 Digi Power's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Digi Power Stock Forecast Pattern

Backtest Digi PowerDigi Power Price PredictionBuy or Sell Advice 

Digi Power Forecasted Value

In the context of forecasting Digi Power'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. Digi Power's downside and upside margins for the forecasting period are 0.04 and 12.99, respectively. We have considered Digi Power'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
3.94
3.49
Expected Value
12.99
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 Digi Power stock data series using in forecasting. Note that when a statistical model is used to represent Digi Power 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 Criteria118.0953
BiasArithmetic mean of the errors None
MADMean absolute deviation0.7508
MAPEMean absolute percentage error0.1377
SAESum of the absolute errors45.7995
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 Digi Power X 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 Digi Power

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Digi Power X. 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
0.183.6713.18
Details
Intrinsic
Valuation
LowRealHigh
0.183.5513.06
Details
Earnings
Estimates (0)
LowProjected EPSHigh
-0.17-0.13-0.12
Details

Other Forecasting Options for Digi Power

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

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

Digi Power X 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 Digi Power'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 Digi Power's current price.

Digi Power Market Strength Events

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

Digi Power Risk Indicators

The analysis of Digi Power'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 Digi Power's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting digi 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

Explore Investment Opportunities

Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
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Additional Tools for Digi Stock Analysis

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