P10 Stock Forecast - Polynomial Regression

PX Stock  USD 13.25  0.03  0.23%   
The Polynomial Regression forecasted value of P10 Inc on the next trading day is expected to be 13.97 with a mean absolute deviation of 0.38 and the sum of the absolute errors of 23.19. P10 Stock Forecast is based on your current time horizon.
  
Payables Turnover is likely to rise to 108.51 in 2024, whereas Inventory Turnover is likely to drop 0.94 in 2024. . Common Stock Shares Outstanding is likely to rise to about 198.3 M in 2024. Net Income Applicable To Common Shares is likely to rise to about 35.3 M in 2024.
P10 polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for P10 Inc as well as the accuracy indicators are determined from the period prices.

P10 Polynomial Regression Price Forecast For the 14th of December 2024

Given 90 days horizon, the Polynomial Regression forecasted value of P10 Inc on the next trading day is expected to be 13.97 with a mean absolute deviation of 0.38, mean absolute percentage error of 0.21, and the sum of the absolute errors of 23.19.
Please note that although there have been many attempts to predict P10 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 P10's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

P10 Stock Forecast Pattern

Backtest P10P10 Price PredictionBuy or Sell Advice 

P10 Forecasted Value

In the context of forecasting P10'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. P10's downside and upside margins for the forecasting period are 12.18 and 15.76, respectively. We have considered P10'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
13.25
13.97
Expected Value
15.76
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 P10 stock data series using in forecasting. Note that when a statistical model is used to represent P10 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 Criteria116.5379
BiasArithmetic mean of the errors None
MADMean absolute deviation0.3801
MAPEMean absolute percentage error0.0312
SAESum of the absolute errors23.1874
A single variable polynomial regression model attempts to put a curve through the P10 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 P10

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as P10 Inc. 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 P10'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
11.3713.1714.97
Details
Intrinsic
Valuation
LowRealHigh
13.0814.8816.68
Details
Bollinger
Band Projection (param)
LowMiddleHigh
12.9913.6914.39
Details
7 Analysts
Consensus
LowTargetHigh
13.3514.6716.28
Details

Other Forecasting Options for P10

For every potential investor in P10, whether a beginner or expert, P10's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. P10 Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in P10. Basic forecasting techniques help filter out the noise by identifying P10's price trends.

View P10 Related Equities

 Risk & Return  Correlation

P10 Inc 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 P10'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 P10's current price.

P10 Market Strength Events

Market strength indicators help investors to evaluate how P10 stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading P10 shares will generate the highest return on investment. By undertsting and applying P10 stock market strength indicators, traders can identify P10 Inc entry and exit signals to maximize returns.

P10 Risk Indicators

The analysis of P10'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 P10's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting p10 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 P10 Stock Analysis

When running P10's price analysis, check to measure P10'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 P10 is operating at the current time. Most of P10's value examination focuses on studying past and present price action to predict the probability of P10's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move P10's price. Additionally, you may evaluate how the addition of P10 to your portfolios can decrease your overall portfolio volatility.