Palantir Technologies Stock Forecast - Simple Regression

PLTR Stock   92,600  1,800  1.91%   
The Simple Regression forecasted value of Palantir Technologies on the next trading day is expected to be 92,526 with a mean absolute deviation of 4,710 and the sum of the absolute errors of 287,318. Investors can use prediction functions to forecast Palantir Technologies' stock prices and determine the direction of Palantir Technologies's future trends based on various well-known forecasting models. However, exclusively looking at the historical price movement is usually misleading. We recommend always using this module together with an analysis of Palantir Technologies' historical fundamentals, such as revenue growth or operating cash flow patterns. Check out Your Equity Center to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as various price indices. At this time the value of rsi of Palantir Technologies' 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 Palantir Technologies' future price could yield a significant profit. We analyze noise-free headlines and recent hype associated with Palantir Technologies, which may create opportunities for some arbitrage if properly timed.
Using Palantir Technologies hype-based prediction, you can estimate the value of Palantir Technologies from the perspective of Palantir Technologies response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Regression forecasted value of Palantir Technologies on the next trading day is expected to be 92,526 with a mean absolute deviation of 4,710 and the sum of the absolute errors of 287,318.

Palantir Technologies after-hype prediction price

    
  ARS 92600.0  
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 Your Equity Center to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as various price indices.

Palantir Technologies Additional Predictive Modules

Most predictive techniques to examine Palantir price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Palantir using various technical indicators. When you analyze Palantir 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.
Simple Regression model is a single variable regression model that attempts to put a straight line through Palantir Technologies price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

Palantir Technologies Simple Regression Price Forecast For the 3rd of January

Given 90 days horizon, the Simple Regression forecasted value of Palantir Technologies on the next trading day is expected to be 92,526 with a mean absolute deviation of 4,710, mean absolute percentage error of 33,791,852, and the sum of the absolute errors of 287,318.
Please note that although there have been many attempts to predict Palantir 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 Palantir Technologies' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Palantir Technologies Stock Forecast Pattern

Palantir Technologies Forecasted Value

In the context of forecasting Palantir Technologies' 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. Palantir Technologies' downside and upside margins for the forecasting period are 92,523 and 92,530, respectively. We have considered Palantir Technologies' 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
92,600
92,523
Downside
92,526
Expected Value
92,530
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of Palantir Technologies stock data series using in forecasting. Note that when a statistical model is used to represent Palantir Technologies 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 Criteria135.4462
BiasArithmetic mean of the errors None
MADMean absolute deviation4710.1309
MAPEMean absolute percentage error0.0525
SAESum of the absolute errors287317.9852
In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as Palantir Technologies historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Predictive Modules for Palantir Technologies

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Palantir Technologies. 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.

Other Forecasting Options for Palantir Technologies

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

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

Palantir Technologies 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 Palantir Technologies' 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 Palantir Technologies' current price.

Palantir Technologies Market Strength Events

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

Palantir Technologies Risk Indicators

The analysis of Palantir Technologies' 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 Palantir Technologies' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting palantir 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.