Intelligent Alpha Atlas Etf Market Value

GPT Etf  USD 30.36  0.02  0.07%   
Intelligent Alpha's market value is the price at which a share of Intelligent Alpha trades on a public exchange. It measures the collective expectations of Intelligent Alpha Atlas investors about its performance. Intelligent Alpha is selling for under 30.36 as of the 24th of December 2025; that is 0.07 percent increase since the beginning of the trading day. The etf's last reported lowest price was 30.3.
With this module, you can estimate the performance of a buy and hold strategy of Intelligent Alpha Atlas and determine expected loss or profit from investing in Intelligent Alpha over a given investment horizon. Check out Intelligent Alpha Correlation, Intelligent Alpha Volatility and Intelligent Alpha Alpha and Beta module to complement your research on Intelligent Alpha.
Symbol

The market value of Intelligent Alpha Atlas is measured differently than its book value, which is the value of Intelligent that is recorded on the company's balance sheet. Investors also form their own opinion of Intelligent Alpha's value that differs from its market value or its book value, called intrinsic value, which is Intelligent Alpha'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 Intelligent Alpha's market value can be influenced by many factors that don't directly affect Intelligent Alpha'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 Intelligent Alpha's value and its price as these two are different measures arrived at by different means. Investors typically determine if Intelligent Alpha is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Intelligent Alpha'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.

Intelligent Alpha 'What if' Analysis

In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Intelligent Alpha's etf what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Intelligent Alpha.
0.00
11/24/2025
No Change 0.00  0.0 
In 31 days
12/24/2025
0.00
If you would invest  0.00  in Intelligent Alpha on November 24, 2025 and sell it all today you would earn a total of 0.00 from holding Intelligent Alpha Atlas or generate 0.0% return on investment in Intelligent Alpha over 30 days. Intelligent Alpha is related to or competes with Harbor ETF, IShares Trust, Pacer Small, Alpha Architect, EA Series, PGIM ETF, and AIM ETF. Gramercy Property Trust is a leading global investor and asset manager of commercial real estate More

Intelligent Alpha Upside/Downside Indicators

Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Intelligent Alpha's etf current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Intelligent Alpha Atlas upside and downside potential and time the market with a certain degree of confidence.

Intelligent Alpha Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Intelligent Alpha's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Intelligent Alpha's standard deviation. In reality, there are many statistical measures that can use Intelligent Alpha historical prices to predict the future Intelligent Alpha's volatility.
Hype
Prediction
LowEstimatedHigh
29.3330.3931.45
Details
Intrinsic
Valuation
LowRealHigh
29.2430.3031.36
Details
Naive
Forecast
LowNextHigh
29.0430.1031.17
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
29.4530.2631.07
Details

Intelligent Alpha Atlas Backtested Returns

Currently, Intelligent Alpha Atlas is very steady. Intelligent Alpha Atlas holds Efficiency (Sharpe) Ratio of 0.0525, which attests that the entity had a 0.0525 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Intelligent Alpha Atlas, which you can use to evaluate the volatility of the entity. Please check out Intelligent Alpha's Risk Adjusted Performance of 0.0234, market risk adjusted performance of 0.0286, and Downside Deviation of 1.15 to validate if the risk estimate we provide is consistent with the expected return of 0.0558%. The etf retains a Market Volatility (i.e., Beta) of 1.08, which attests to a somewhat significant risk relative to the market. Intelligent Alpha returns are very sensitive to returns on the market. As the market goes up or down, Intelligent Alpha is expected to follow.

Auto-correlation

    
  -0.13  

Insignificant reverse predictability

Intelligent Alpha Atlas has insignificant reverse predictability. Overlapping area represents the amount of predictability between Intelligent Alpha time series from 24th of November 2025 to 9th of December 2025 and 9th of December 2025 to 24th of December 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Intelligent Alpha Atlas price movement. The serial correlation of -0.13 indicates that less than 13.0% of current Intelligent Alpha price fluctuation can be explain by its past prices.
Correlation Coefficient-0.13
Spearman Rank Test0.06
Residual Average0.0
Price Variance0.07

Intelligent Alpha Atlas lagged returns against current returns

Autocorrelation, which is Intelligent Alpha etf's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Intelligent Alpha's etf expected returns. We can calculate the autocorrelation of Intelligent Alpha returns to help us make a trade decision. For example, suppose you find that Intelligent Alpha has exhibited high autocorrelation historically, and you observe that the etf is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
   Current and Lagged Values   
       Timeline  

Intelligent Alpha regressed lagged prices vs. current prices

Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Intelligent Alpha etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Intelligent Alpha etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Intelligent Alpha etf over time.
   Current vs Lagged Prices   
       Timeline  

Intelligent Alpha Lagged Returns

When evaluating Intelligent Alpha's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Intelligent Alpha etf have on its future price. Intelligent Alpha autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Intelligent Alpha autocorrelation shows the relationship between Intelligent Alpha etf current value and its past values and can show if there is a momentum factor associated with investing in Intelligent Alpha Atlas.
   Regressed Prices   
       Timeline  

Thematic Opportunities

Explore Investment Opportunities

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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When determining whether Intelligent Alpha Atlas is a good investment, qualitative aspects like company management, corporate governance, and ethical practices play a significant role. A comparison with peer companies also provides context and helps to understand if Intelligent Etf is undervalued or overvalued. This multi-faceted approach, blending both quantitative and qualitative analysis, forms a solid foundation for making an informed investment decision about Intelligent Alpha Atlas Etf. Highlighted below are key reports to facilitate an investment decision about Intelligent Alpha Atlas Etf:
Check out Intelligent Alpha Correlation, Intelligent Alpha Volatility and Intelligent Alpha Alpha and Beta module to complement your research on Intelligent Alpha.
You can also try the Portfolio Center module to all portfolio management and optimization tools to improve performance of your portfolios.
Intelligent Alpha technical etf analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, etf market cycles, or different charting patterns.
A focus of Intelligent Alpha technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Intelligent Alpha trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...