Sailpoint Common Stock Stock Market Value
| SAIL Stock | USD 17.32 0.95 5.20% |
| Symbol | SailPoint |
SailPoint Common Stock Price To Book Ratio
Is Application Software space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of SailPoint Common. If investors know SailPoint will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about SailPoint Common listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
The market value of SailPoint Common Stock is measured differently than its book value, which is the value of SailPoint that is recorded on the company's balance sheet. Investors also form their own opinion of SailPoint Common's value that differs from its market value or its book value, called intrinsic value, which is SailPoint Common'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 SailPoint Common's market value can be influenced by many factors that don't directly affect SailPoint Common'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 SailPoint Common's value and its price as these two are different measures arrived at by different means. Investors typically determine if SailPoint Common is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, SailPoint Common'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.
SailPoint Common '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 SailPoint Common's stock 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 SailPoint Common.
| 12/21/2025 |
| 01/20/2026 |
If you would invest 0.00 in SailPoint Common on December 21, 2025 and sell it all today you would earn a total of 0.00 from holding SailPoint Common Stock or generate 0.0% return on investment in SailPoint Common over 30 days. SailPoint Common is related to or competes with Joint Stock, QXO, Akamai Technologies, Okta, Klarna Group, Manhattan Associates, and Synnex. SailPoint Technologies Holdings, Inc. provides enterprise identity security solutions in the United States, Europe, the ... More
SailPoint Common 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 SailPoint Common's stock 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 SailPoint Common Stock upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.13) | |||
| Maximum Drawdown | 12.06 | |||
| Value At Risk | (5.23) | |||
| Potential Upside | 3.8 |
SailPoint Common Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SailPoint Common's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SailPoint Common's standard deviation. In reality, there are many statistical measures that can use SailPoint Common historical prices to predict the future SailPoint Common's volatility.| Risk Adjusted Performance | (0.06) | |||
| Jensen Alpha | (0.44) | |||
| Total Risk Alpha | (0.64) | |||
| Treynor Ratio | (0.15) |
SailPoint Common Stock Backtested Returns
SailPoint Common Stock owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.12, which indicates the firm had a -0.12 % return per unit of risk over the last 3 months. SailPoint Common Stock exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate SailPoint Common's Variance of 7.68, risk adjusted performance of (0.06), and Coefficient Of Variation of (1,050) to confirm the risk estimate we provide. The entity has a beta of 1.83, 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, SailPoint Common will likely underperform. At this point, SailPoint Common Stock has a negative expected return of -0.33%. Please make sure to validate SailPoint Common's maximum drawdown, as well as the relationship between the accumulation distribution and day typical price , to decide if SailPoint Common Stock performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.62 |
Good predictability
SailPoint Common Stock has good predictability. Overlapping area represents the amount of predictability between SailPoint Common time series from 21st of December 2025 to 5th of January 2026 and 5th of January 2026 to 20th of January 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of SailPoint Common Stock price movement. The serial correlation of 0.62 indicates that roughly 62.0% of current SailPoint Common price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.62 | |
| Spearman Rank Test | 0.35 | |
| Residual Average | 0.0 | |
| Price Variance | 0.11 |
SailPoint Common Stock lagged returns against current returns
Autocorrelation, which is SailPoint Common stock'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 SailPoint Common's stock expected returns. We can calculate the autocorrelation of SailPoint Common returns to help us make a trade decision. For example, suppose you find that SailPoint Common has exhibited high autocorrelation historically, and you observe that the stock 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 |
SailPoint Common 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 SailPoint Common stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SailPoint Common stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SailPoint Common stock over time.
Current vs Lagged Prices |
| Timeline |
SailPoint Common Lagged Returns
When evaluating SailPoint Common's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SailPoint Common stock have on its future price. SailPoint Common 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, SailPoint Common autocorrelation shows the relationship between SailPoint Common stock current value and its past values and can show if there is a momentum factor associated with investing in SailPoint Common Stock.
Regressed Prices |
| Timeline |
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SailPoint Common technical stock 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, stock market cycles, or different charting patterns.