Trupanion Stock Forecast - Polynomial Regression

TRUP Stock  USD 47.87  0.18  0.38%   
The Polynomial Regression forecasted value of Trupanion on the next trading day is expected to be 48.57 with a mean absolute deviation of 1.22 and the sum of the absolute errors of 74.47. Trupanion Stock Forecast is based on your current time horizon.
  
Trupanion polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Trupanion as well as the accuracy indicators are determined from the period prices.

Trupanion Polynomial Regression Price Forecast For the 1st of February

Given 90 days horizon, the Polynomial Regression forecasted value of Trupanion on the next trading day is expected to be 48.57 with a mean absolute deviation of 1.22, mean absolute percentage error of 2.72, and the sum of the absolute errors of 74.47.
Please note that although there have been many attempts to predict Trupanion 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 Trupanion's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Trupanion Stock Forecast Pattern

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Trupanion Forecasted Value

In the context of forecasting Trupanion'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. Trupanion's downside and upside margins for the forecasting period are 45.72 and 51.41, respectively. We have considered Trupanion'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
47.87
48.57
Expected Value
51.41
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Trupanion stock data series using in forecasting. Note that when a statistical model is used to represent Trupanion 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 Criteria119.1118
BiasArithmetic mean of the errors None
MADMean absolute deviation1.2208
MAPEMean absolute percentage error0.0243
SAESum of the absolute errors74.4685
A single variable polynomial regression model attempts to put a curve through the Trupanion historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm

Predictive Modules for Trupanion

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Trupanion. 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Trupanion'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
45.0247.8750.72
Details
Intrinsic
Valuation
LowRealHigh
45.9748.8251.67
Details
Bollinger
Band Projection (param)
LowMiddleHigh
44.1047.7551.40
Details

Other Forecasting Options for Trupanion

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

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

Trupanion 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 Trupanion'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 Trupanion's current price.

Trupanion Market Strength Events

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

Trupanion Risk Indicators

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

Additional Tools for Trupanion Stock Analysis

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