Simplify Macro Strategy Etf Market Value

FIG Etf  USD 20.80  0.15  0.73%   
Simplify Macro's market value is the price at which a share of Simplify Macro trades on a public exchange. It measures the collective expectations of Simplify Macro Strategy investors about its performance. Simplify Macro is trading at 20.80 as of the 27th of July 2024. This is a 0.73 percent increase since the beginning of the trading day. The etf's lowest day price was 20.68.
With this module, you can estimate the performance of a buy and hold strategy of Simplify Macro Strategy and determine expected loss or profit from investing in Simplify Macro over a given investment horizon. Check out Simplify Macro Correlation, Simplify Macro Volatility and Simplify Macro Alpha and Beta module to complement your research on Simplify Macro.
Symbol

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

Simplify Macro '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 Simplify Macro'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 Simplify Macro.
0.00
04/28/2024
No Change 0.00  0.0 
In 3 months and 1 day
07/27/2024
0.00
If you would invest  0.00  in Simplify Macro on April 28, 2024 and sell it all today you would earn a total of 0.00 from holding Simplify Macro Strategy or generate 0.0% return on investment in Simplify Macro over 90 days. Simplify Macro is related to or competes with MBIA, Lazard, Blackstone, and MGIC Investment. The fund will primarily invest in equity, fixed income, and alternative ETFs that are managed by the adviser More

Simplify Macro 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 Simplify Macro'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 Simplify Macro Strategy upside and downside potential and time the market with a certain degree of confidence.

Simplify Macro Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Simplify Macro's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Simplify Macro's standard deviation. In reality, there are many statistical measures that can use Simplify Macro historical prices to predict the future Simplify Macro's volatility.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Simplify Macro's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
19.5520.8122.07
Details
Intrinsic
Valuation
LowRealHigh
19.6620.9222.18
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Simplify Macro. Your research has to be compared to or analyzed against Simplify Macro's peers to derive any actionable benefits. When done correctly, Simplify Macro's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Simplify Macro Strategy.

Simplify Macro Strategy Backtested Returns

Simplify Macro Strategy owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0817, which indicates the etf had a -0.0817% return per unit of risk over the last 3 months. Simplify Macro Strategy exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Simplify Macro's Coefficient Of Variation of (898.11), variance of 1.57, and Risk Adjusted Performance of (0.07) to confirm the risk estimate we provide. The entity has a beta of 0.0468, which indicates not very significant fluctuations relative to the market. As returns on the market increase, Simplify Macro's returns are expected to increase less than the market. However, during the bear market, the loss of holding Simplify Macro is expected to be smaller as well.

Auto-correlation

    
  0.13  

Insignificant predictability

Simplify Macro Strategy has insignificant predictability. Overlapping area represents the amount of predictability between Simplify Macro time series from 28th of April 2024 to 12th of June 2024 and 12th of June 2024 to 27th of July 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Simplify Macro Strategy price movement. The serial correlation of 0.13 indicates that less than 13.0% of current Simplify Macro price fluctuation can be explain by its past prices.
Correlation Coefficient0.13
Spearman Rank Test-0.17
Residual Average0.0
Price Variance0.06

Simplify Macro Strategy lagged returns against current returns

Autocorrelation, which is Simplify Macro 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 Simplify Macro's etf expected returns. We can calculate the autocorrelation of Simplify Macro returns to help us make a trade decision. For example, suppose you find that Simplify Macro 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  

Simplify Macro 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 Simplify Macro etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Simplify Macro etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Simplify Macro etf over time.
   Current vs Lagged Prices   
       Timeline  

Simplify Macro Lagged Returns

When evaluating Simplify Macro's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Simplify Macro etf have on its future price. Simplify Macro 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, Simplify Macro autocorrelation shows the relationship between Simplify Macro etf current value and its past values and can show if there is a momentum factor associated with investing in Simplify Macro Strategy.
   Regressed Prices   
       Timeline  

Currently Active Assets on Macroaxis

Additional Information and Resources on Investing in Simplify Etf

When determining whether Simplify Macro Strategy is a strong investment it is important to analyze Simplify Macro's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Simplify Macro's future performance. For an informed investment choice regarding Simplify Etf, refer to the following important reports:
Check out Simplify Macro Correlation, Simplify Macro Volatility and Simplify Macro Alpha and Beta module to complement your research on Simplify Macro.
You can also try the Stock Tickers module to use high-impact, comprehensive, and customizable stock tickers that can be easily integrated to any websites.
Simplify Macro 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 Simplify Macro technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Simplify Macro 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...