Transalta Preferred Stock Forecast - Simple Moving Average

TA-PD Preferred Stock  CAD 12.23  2.07  14.48%   
The Simple Moving Average forecasted value of Transalta A Cum on the next trading day is expected to be 13.27 with a mean absolute deviation of 0.16 and the sum of the absolute errors of 9.60. Transalta Preferred Stock Forecast is based on your current time horizon.
  
Most investors in Transalta cannot accurately predict what will happen the next trading day because, historically, preferred stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Transalta's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Transalta's price structures and extracts relationships that further increase the generated results' accuracy.
A two period moving average forecast for Transalta is based on an daily price series in which the stock price on a given day is replaced by the mean of that price and the preceding price. This model is best suited to price patterns experiencing average volatility.

Transalta Simple Moving Average Price Forecast For the 18th of June 2024

Given 90 days horizon, the Simple Moving Average forecasted value of Transalta A Cum on the next trading day is expected to be 13.27 with a mean absolute deviation of 0.16, mean absolute percentage error of 0.12, and the sum of the absolute errors of 9.60.
Please note that although there have been many attempts to predict Transalta Preferred 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 Transalta's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Transalta Preferred Stock Forecast Pattern

Backtest TransaltaTransalta Price PredictionBuy or Sell Advice 

Transalta Forecasted Value

In the context of forecasting Transalta's Preferred 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. Transalta's downside and upside margins for the forecasting period are 10.86 and 15.67, respectively. We have considered Transalta'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
12.23
13.27
Expected Value
15.67
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Moving Average forecasting method's relative quality and the estimations of the prediction error of Transalta preferred stock data series using in forecasting. Note that when a statistical model is used to represent Transalta preferred 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 Criteria112.3108
BiasArithmetic mean of the errors 0.0117
MADMean absolute deviation0.1627
MAPEMean absolute percentage error0.0118
SAESum of the absolute errors9.6
The simple moving average model is conceptually a linear regression of the current value of Transalta A Cum price series against current and previous (unobserved) value of Transalta. In time series analysis, the simple moving-average model is a very common approach for modeling univariate price series models including forecasting prices into the future

Predictive Modules for Transalta

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Transalta A Cum. Regardless of method or technology, however, to accurately forecast the preferred stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the preferred 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Transalta's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
9.8212.2314.64
Details
Intrinsic
Valuation
LowRealHigh
8.4910.9013.31
Details
Bollinger
Band Projection (param)
LowMiddleHigh
12.9714.3715.76
Details

Other Forecasting Options for Transalta

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

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

Transalta A Cum Technical and Predictive Analytics

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

Transalta Market Strength Events

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

Transalta Risk Indicators

The analysis of Transalta'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 Transalta's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting transalta preferred 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.

Building efficient market-beating portfolios requires time, education, and a lot of computing power!

The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.

Try AI Portfolio Architect

Additional Tools for Transalta Preferred Stock Analysis

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