Integral Stock Forecast - Daily Balance Of Power

IAS Stock  USD 11.18  0.01  0.09%   
Integral Stock Forecast is based on your current time horizon.
  
Inventory Turnover is likely to gain to 1,591 in 2024, whereas Payables Turnover is likely to drop 5.40 in 2024. . Common Stock Shares Outstanding is likely to gain to about 170.7 M in 2024. Net Income Applicable To Common Shares is likely to gain to about 18.6 M in 2024.
On July 30, 2024 Integral Ad Science had Daily Balance Of Power of 0.2683. Balance of Power indicator (or BOP) measures the strength of Integral Ad Science market sensitivity to bulls and bears. It estimates the ability of Integral buyers and sellers to push price to an extreme high or extreme low level. As a result, by monitoring Integral Balance of Power indicator one can determine a trend of the price direction.
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Integral Trading Date Momentum

On July 31 2024 Integral Ad Science was traded for  10.18  at the closing time. Highest Integral's price during the trading hours was 10.77  and the lowest price during the day was  10.06 . The net volume was 1.8 M. The overall trading history on the 31st of July contributed to the next trading period price depreciation. The trading delta at closing time to the next next day price was 5.39% . The trading delta at closing time to current price is 0.00% .
Balance of Power indicator was created by Igor Livshin to predict asset short term price movements or warning signals. If Balance of Power indicator is trended towards the high of its range it will signify that the bulls are in control. On the other hand when the BOP indicator is moving towards the lows of its range it signifies that the bears are in control. If the indicator move from a high positive range to a lower positive range it signifies that the buying pressure is decreasing. Conversely, if the indicator move from a low negative range to a higher negative range it signifies that the selling pressure is decreasing.
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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.
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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.

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.
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

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Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
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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.