Therma Bright Stock Forecast - 4 Period Moving Average

THRM Stock  CAD 0.03  0.01  16.67%   
The 4 Period Moving Average forecasted value of Therma Bright 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 0.24. Therma Stock Forecast is based on your current time horizon.
  
Inventory Turnover is likely to drop to 0.17 in 2024. Payables Turnover is likely to drop to 0.42 in 2024. Common Stock Shares Outstanding is likely to climb to about 293.2 M in 2024, despite the fact that Net Loss is likely to grow to (5 M).
A four-period moving average forecast model for Therma Bright is based on an artificially constructed daily price series in which the value for a given day is replaced by the mean of that value and the values for four preceding and succeeding time periods. This model is best suited to forecast equities with high volatility.

Therma Bright 4 Period Moving Average Price Forecast For the 24th of November

Given 90 days horizon, the 4 Period Moving Average forecasted value of Therma Bright on the next trading day is expected to be 0.03 with a mean absolute deviation of 0, mean absolute percentage error of 0.000029, and the sum of the absolute errors of 0.24.
Please note that although there have been many attempts to predict Therma 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 Therma Bright's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Therma Bright Stock Forecast Pattern

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Therma Bright Forecasted Value

In the context of forecasting Therma Bright'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. Therma Bright's downside and upside margins for the forecasting period are 0.0003 and 9.13, respectively. We have considered Therma Bright'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
0.0003
Downside
0.03
Expected Value
9.13
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 4 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Therma Bright stock data series using in forecasting. Note that when a statistical model is used to represent Therma Bright 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 Criteria100.3174
BiasArithmetic mean of the errors 0.002
MADMean absolute deviation0.0043
MAPEMean absolute percentage error0.0913
SAESum of the absolute errors0.2438
The four period moving average method has an advantage over other forecasting models in that it does smooth out peaks and troughs in a set of daily price observations of Therma Bright. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for Therma Bright and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

Predictive Modules for Therma Bright

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Therma Bright. 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
0.000.039.13
Details
Intrinsic
Valuation
LowRealHigh
0.000.029.12
Details

Other Forecasting Options for Therma Bright

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

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

Therma Bright 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 Therma Bright'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 Therma Bright's current price.

Therma Bright Market Strength Events

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

Therma Bright Risk Indicators

The analysis of Therma Bright'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 Therma Bright's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting therma 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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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 Therma Stock Analysis

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