TransAct Energy Pink Sheet Forecast - Simple Regression

TEGY Stock  USD 0.03  0.00  0.00%   
The Simple Regression forecasted value of TransAct Energy Corp on the next trading day is expected to be 0.03 with a mean absolute deviation of 0 and the sum of the absolute errors of 0. TransAct Pink Sheet Forecast is based on your current time horizon.
  
Simple Regression model is a single variable regression model that attempts to put a straight line through TransAct Energy 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.

TransAct Energy Simple Regression Price Forecast For the 12th of December 2024

Given 90 days horizon, the Simple Regression forecasted value of TransAct Energy Corp on the next trading day is expected to be 0.03 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 TransAct Pink Sheet 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 TransAct Energy's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

TransAct Energy Pink Sheet Forecast Pattern

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TransAct Energy Forecasted Value

In the context of forecasting TransAct Energy's Pink Sheet 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. TransAct Energy's downside and upside margins for the forecasting period are 0.03 and 0.03, respectively. We have considered TransAct Energy'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
0.03
0.03
Expected Value
0.03
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 TransAct Energy pink sheet data series using in forecasting. Note that when a statistical model is used to represent TransAct Energy pink sheet, 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 Criteria42.9388
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0
MAPEMean absolute percentage error0.0
SAESum of the absolute errors0.0
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 TransAct Energy Corp 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 TransAct Energy

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as TransAct Energy Corp. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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
0.030.030.03
Details
Intrinsic
Valuation
LowRealHigh
0.030.030.03
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as TransAct Energy. Your research has to be compared to or analyzed against TransAct Energy's peers to derive any actionable benefits. When done correctly, TransAct Energy'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 TransAct Energy Corp.

Other Forecasting Options for TransAct Energy

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

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

TransAct Energy Corp Technical and Predictive Analytics

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

TransAct Energy Market Strength Events

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

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.

Additional Tools for TransAct Pink Sheet Analysis

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