Portage Fintech Stock Forecast - Double Exponential Smoothing

PFTAW Stock  USD 0.02  0  13.10%   
The Double Exponential Smoothing forecasted value of Portage Fintech Acquisition on the next trading day is expected to be 0.02 with a mean absolute deviation of 0 and the sum of the absolute errors of 0.25. Portage Stock Forecast is based on your current time horizon.
  
Double exponential smoothing - also known as Holt exponential smoothing is a refinement of the popular simple exponential smoothing model with an additional trending component. Double exponential smoothing model for Portage Fintech works best with periods where there are trends or seasonality.

Portage Fintech Double Exponential Smoothing Price Forecast For the 3rd of December

Given 90 days horizon, the Double Exponential Smoothing forecasted value of Portage Fintech Acquisition on the next trading day is expected to be 0.02 with a mean absolute deviation of 0, mean absolute percentage error of 0.000052, and the sum of the absolute errors of 0.25.
Please note that although there have been many attempts to predict Portage 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 Portage Fintech's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Portage Fintech Stock Forecast Pattern

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Portage Fintech Forecasted Value

In the context of forecasting Portage Fintech'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. Portage Fintech's downside and upside margins for the forecasting period are 0.0002 and 133.70, respectively. We have considered Portage Fintech'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
0.02
0.0002
Downside
0.02
Expected Value
133.70
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Portage Fintech stock data series using in forecasting. Note that when a statistical model is used to represent Portage Fintech 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 CriteriaHuge
BiasArithmetic mean of the errors 0.0011
MADMean absolute deviation0.0042
MAPEMean absolute percentage error9.223372036854776E14
SAESum of the absolute errors0.2504
When Portage Fintech Acquisition prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any Portage Fintech Acquisition trend in the prices. So in double exponential smoothing past observations are given exponentially smaller weights as the observations get older. In other words, recent Portage Fintech observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for Portage Fintech

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Portage Fintech Acqu. 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
0.000.0250.97
Details
Intrinsic
Valuation
LowRealHigh
0.000.0250.97
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Portage Fintech. Your research has to be compared to or analyzed against Portage Fintech's peers to derive any actionable benefits. When done correctly, Portage Fintech'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 Portage Fintech Acqu.

Other Forecasting Options for Portage Fintech

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

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

Portage Fintech Acqu 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 Portage Fintech'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 Portage Fintech's current price.

Portage Fintech Market Strength Events

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

Portage Fintech Risk Indicators

The analysis of Portage Fintech'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 Portage Fintech's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting portage 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.

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 Portage Stock Analysis

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