System1 Etf Market Value
| SST Etf | USD 0.96 0.01 1.03% |
| Symbol | System1 |
The market value of System1 is measured differently than its book value, which is the value of System1 that is recorded on the company's balance sheet. Investors also form their own opinion of System1's value that differs from its market value or its book value, called intrinsic value, which is System1'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 System1's market value can be influenced by many factors that don't directly affect System1'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 System1's value and its price as these two are different measures arrived at by different means. Investors typically determine if System1 is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, System1'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.
System1 '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 System1'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 System1.
| 10/23/2024 |
| 11/22/2024 |
If you would invest 0.00 in System1 on October 23, 2024 and sell it all today you would earn a total of 0.00 from holding System1 or generate 0.0% return on investment in System1 over 30 days. System1 is related to or competes with Network 1, Maximus, First Advantage, Civeo Corp, Performant Financial, Rentokil Initial, and Wilhelmina. System1, Inc. develops technology and data science to operate responsive acquisition marketing platform More
System1 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 System1'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 System1 upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.12) | |||
| Maximum Drawdown | 20.38 | |||
| Value At Risk | (8.40) | |||
| Potential Upside | 6.82 |
System1 Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for System1's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as System1's standard deviation. In reality, there are many statistical measures that can use System1 historical prices to predict the future System1's volatility.| Risk Adjusted Performance | (0.07) | |||
| Jensen Alpha | (0.57) | |||
| Total Risk Alpha | (0.85) | |||
| Treynor Ratio | (0.20) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of System1'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.
System1 Backtested Returns
System1 owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.15, which indicates the etf had a -0.15% return per unit of risk over the last 3 months. System1 exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate System1's Coefficient Of Variation of (994.92), variance of 15.37, and Risk Adjusted Performance of (0.07) to confirm the risk estimate we provide. The entity has a beta of 1.98, which indicates a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, System1 will likely underperform.
Auto-correlation | 0.43 |
Average predictability
System1 has average predictability. Overlapping area represents the amount of predictability between System1 time series from 23rd of October 2024 to 7th of November 2024 and 7th of November 2024 to 22nd of November 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 System1 price movement. The serial correlation of 0.43 indicates that just about 43.0% of current System1 price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.43 | |
| Spearman Rank Test | 0.17 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
System1 lagged returns against current returns
Autocorrelation, which is System1 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 System1's etf expected returns. We can calculate the autocorrelation of System1 returns to help us make a trade decision. For example, suppose you find that System1 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 |
System1 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 System1 etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if System1 etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in System1 etf over time.
Current vs Lagged Prices |
| Timeline |
System1 Lagged Returns
When evaluating System1's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of System1 etf have on its future price. System1 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, System1 autocorrelation shows the relationship between System1 etf current value and its past values and can show if there is a momentum factor associated with investing in System1.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Other Information on Investing in System1 Etf
System1 financial ratios help investors to determine whether System1 Etf is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in System1 with respect to the benefits of owning System1 security.