Integral Stock Forecast - Simple Moving Average
| IAS Stock | USD 11.20 0.35 3.23% |
The Simple Moving Average forecasted value of Integral Ad Science on the next trading day is expected to be 11.20 with a mean absolute deviation of 0.23 and the sum of the absolute errors of 14.00. Integral Stock Forecast is based on your current time horizon.
Integral |
Open Interest Against 2024-12-20 Integral Option Contracts
Although open interest is a measure utilized in the options markets, it could be used to forecast Integral's spot prices because the number of available contracts in the market changes daily, and new contracts can be created or liquidated at will. Since open interest in Integral's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Integral stock based on available contracts left at the end of a trading day.
Please note that to derive more accurate forecasting about market movement from the current Integral's open interest, investors have to compare it to Integral's spot prices. As Ford's stock price increases, high open interest indicates that money is entering the market, and the market is strongly bullish. Conversely, if the price of Integral is decreasing and there is high open interest, that is a sign that the bearish trend will continue, and investors may react by taking short positions in Integral. So, decreasing or low open interest during a bull market indicates that investors are becoming uncertain of the depth of the bullish trend, and a reversal in sentiment will likely follow.
Integral Simple Moving Average Price Forecast For the 23rd of November
Given 90 days horizon, the Simple Moving Average forecasted value of Integral Ad Science on the next trading day is expected to be 11.20 with a mean absolute deviation of 0.23, mean absolute percentage error of 0.15, and the sum of the absolute errors of 14.00.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 8.43 and 13.97, 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 Simple Moving Average 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 | 114.3626 |
| Bias | Arithmetic mean of the errors | 0.009 |
| MAD | Mean absolute deviation | 0.2333 |
| MAPE | Mean absolute percentage error | 0.0211 |
| SAE | Sum of the absolute errors | 14.0 |
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 | 1.6 | |||
| Standard Deviation | 2.72 | |||
| Variance | 7.41 |
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.
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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.