Uipath Stock Forecast - Polynomial Regression

PATH Stock  USD 16.32  0.56  3.32%   
The Polynomial Regression forecasted value of Uipath Inc on the next trading day is expected to be 16.41 with a mean absolute deviation of 0.97 and the sum of the absolute errors of 59.20. Uipath Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Uipath's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 9th of January 2026 the relative strength indicator of Uipath's share price is below 20 indicating that the stock is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards.

Momentum 0

 Sell Peaked

 
Oversold
 
Overbought
The successful prediction of Uipath's future price could yield a significant profit. We analyze noise-free headlines and recent hype associated with Uipath Inc, which may create opportunities for some arbitrage if properly timed.
Using Uipath hype-based prediction, you can estimate the value of Uipath Inc from the perspective of Uipath response to recently generated media hype and the effects of current headlines on its competitors.
The Polynomial Regression forecasted value of Uipath Inc on the next trading day is expected to be 16.41 with a mean absolute deviation of 0.97 and the sum of the absolute errors of 59.20.

Uipath after-hype prediction price

    
  USD 16.32  
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Check out Historical Fundamental Analysis of Uipath to cross-verify your projections.

Uipath Additional Predictive Modules

Most predictive techniques to examine Uipath price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Uipath using various technical indicators. When you analyze Uipath charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
Uipath polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Uipath Inc as well as the accuracy indicators are determined from the period prices.

Uipath Polynomial Regression Price Forecast For the 10th of January

Given 90 days horizon, the Polynomial Regression forecasted value of Uipath Inc on the next trading day is expected to be 16.41 with a mean absolute deviation of 0.97, mean absolute percentage error of 1.56, and the sum of the absolute errors of 59.20.
Please note that although there have been many attempts to predict Uipath 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 Uipath's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Uipath Stock Forecast Pattern

Backtest UipathUipath Price PredictionBuy or Sell Advice 

Uipath Forecasted Value

In the context of forecasting Uipath'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. Uipath's downside and upside margins for the forecasting period are 11.66 and 21.16, respectively. We have considered Uipath'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
16.32
16.41
Expected Value
21.16
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 Uipath stock data series using in forecasting. Note that when a statistical model is used to represent Uipath 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 Criteria118.5581
BiasArithmetic mean of the errors None
MADMean absolute deviation0.9706
MAPEMean absolute percentage error0.061
SAESum of the absolute errors59.2041
A single variable polynomial regression model attempts to put a curve through the Uipath 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 Uipath

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Uipath 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 Uipath'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
11.5716.3221.07
Details
Intrinsic
Valuation
LowRealHigh
8.8313.5818.33
Details
Bollinger
Band Projection (param)
LowMiddleHigh
12.4116.0419.66
Details

Other Forecasting Options for Uipath

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

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

Uipath 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 Uipath'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 Uipath's current price.

Uipath Market Strength Events

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

Uipath Risk Indicators

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

Currently Active Assets on Macroaxis

When determining whether Uipath Inc offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Uipath's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Uipath Inc Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Uipath Inc Stock:
Check out Historical Fundamental Analysis of Uipath to cross-verify your projections.
You can also try the Earnings Calls module to check upcoming earnings announcements updated hourly across public exchanges.
Is Systems Software space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Uipath. If investors know Uipath will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Uipath listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
The market value of Uipath Inc is measured differently than its book value, which is the value of Uipath that is recorded on the company's balance sheet. Investors also form their own opinion of Uipath's value that differs from its market value or its book value, called intrinsic value, which is Uipath's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Uipath's market value can be influenced by many factors that don't directly affect Uipath's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Uipath's value and its price as these two are different measures arrived at by different means. Investors typically determine if Uipath is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Uipath's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.