Integral Stock Forecast - Naive Prediction
| IAS Stock | USD 11.08 0.12 1.07% |
The Naive Prediction forecasted value of Integral Ad Science on the next trading day is expected to be 10.09 with a mean absolute deviation of 0.38 and the sum of the absolute errors of 23.29. Integral Stock Forecast is based on your current time horizon.
Integral |
Forecasting cash, or other financial indicators, requires analysts to apply different statistical methods, techniques, and algorithms to find hidden patterns within the Integral's financial statements to predict how it will affect future prices.
Cash | First Reported 2010-12-31 | Previous Quarter 124.8 M | Current Value 79.8 M | Quarterly Volatility 31.3 M |
Integral Naive Prediction Price Forecast For the 26th of November
Given 90 days horizon, the Naive Prediction forecasted value of Integral Ad Science on the next trading day is expected to be 10.09 with a mean absolute deviation of 0.38, mean absolute percentage error of 0.22, and the sum of the absolute errors of 23.29.Please note that although there have been many attempts to predict Integral 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 Integral's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Integral Stock Forecast Pattern
| Backtest Integral | Integral Price Prediction | Buy or Sell Advice |
Integral Forecasted Value
In the context of forecasting Integral'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. Integral's downside and upside margins for the forecasting period are 7.34 and 12.83, respectively. We have considered Integral'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.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Integral stock data series using in forecasting. Note that when a statistical model is used to represent Integral 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.| AIC | Akaike Information Criteria | 116.6102 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.3818 |
| MAPE | Mean absolute percentage error | 0.0344 |
| SAE | Sum of the absolute errors | 23.2876 |
Predictive Modules for Integral
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Integral Ad Science. 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 Integral
For every potential investor in Integral, whether a beginner or expert, Integral's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Integral Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Integral. Basic forecasting techniques help filter out the noise by identifying Integral's price trends.Integral 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 Integral stock to make a market-neutral strategy. Peer analysis of Integral could also be used in its relative valuation, which is a method of valuing Integral by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Integral Ad Science 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 Integral'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 Integral's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Integral Market Strength Events
Market strength indicators help investors to evaluate how Integral stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Integral shares will generate the highest return on investment. By undertsting and applying Integral stock market strength indicators, traders can identify Integral Ad Science entry and exit signals to maximize returns.
Integral Risk Indicators
The analysis of Integral'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 Integral's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting integral 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.
| Mean Deviation | 1.63 | |||
| Semi Deviation | 2.98 | |||
| Standard Deviation | 2.75 | |||
| Variance | 7.54 | |||
| Downside Variance | 9.42 | |||
| Semi Variance | 8.86 | |||
| Expected Short fall | (1.75) |
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.
Thematic Opportunities
Explore Investment Opportunities
Additional Tools for Integral Stock Analysis
When running Integral's price analysis, check to measure Integral'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 Integral is operating at the current time. Most of Integral's value examination focuses on studying past and present price action to predict the probability of Integral's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Integral's price. Additionally, you may evaluate how the addition of Integral to your portfolios can decrease your overall portfolio volatility.