Sofi Technologies Stock Overlap Studies All Moving Average
| SOFI Stock | USD 7.25 0.14 1.97% |
| Symbol |
Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. The Moving Average is predictive technique used to analyze SoFi Technologies price data points by creating a series of averages of different subsets of SoFi Technologies entire price series.
SoFi Technologies Technical Analysis Modules
Most technical analysis of SoFi Technologies help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for SoFi from various momentum indicators to cycle indicators. When you analyze SoFi charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
About SoFi Technologies Predictive Technical Analysis
Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of SoFi Technologies. We use our internally-developed statistical techniques to arrive at the intrinsic value of SoFi Technologies based on widely used predictive technical indicators. In general, we focus on analyzing SoFi Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build SoFi Technologies's daily price indicators and compare them against related drivers, such as overlap studies and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of SoFi Technologies's intrinsic value. In addition to deriving basic predictive indicators for SoFi Technologies, we also check how macroeconomic factors affect SoFi Technologies price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
| 2021 | 2022 | 2023 | 2024 (projected) | Dividend Yield | 0.0388 | 0.009734 | 0.004299 | 0.004084 | Price To Sales Ratio | 8.46 | 2.64 | 4.58 | 3.22 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of SoFi Technologies' 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.
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Trending Themes
If you are a self-driven investor, you will appreciate our idea-generating investing themes. Our themes help you align your investments inspirations with your core values and are essential building blocks of your portfolios. A typical investing theme is an unweighted collection of up to 20 funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of equities with common characteristics such as industry and growth potential, volatility, or market segment. | Social Domain Invested a lot of shares | |
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 | Momentum Invested over 70 shares | |
Check out World Market Map to better understand how to build diversified portfolios, which includes a position in SoFi Technologies. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in census. For more detail on how to invest in SoFi Stock please use our How to Invest in SoFi Technologies guide.Note that the SoFi Technologies information on this page should be used as a complementary analysis to other SoFi Technologies' statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
Complementary Tools for SoFi Stock analysis
When running SoFi Technologies' price analysis, check to measure SoFi Technologies' 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 SoFi Technologies is operating at the current time. Most of SoFi Technologies' value examination focuses on studying past and present price action to predict the probability of SoFi Technologies' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move SoFi Technologies' price. Additionally, you may evaluate how the addition of SoFi Technologies to your portfolios can decrease your overall portfolio volatility.
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Is SoFi Technologies' industry 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 SoFi Technologies. If investors know SoFi 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 SoFi Technologies listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share (0.36) | Revenue Per Share 2.188 | Quarterly Revenue Growth 0.366 | Return On Assets (0.01) | Return On Equity (0.05) |
The market value of SoFi Technologies is measured differently than its book value, which is the value of SoFi that is recorded on the company's balance sheet. Investors also form their own opinion of SoFi Technologies' value that differs from its market value or its book value, called intrinsic value, which is SoFi Technologies' 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 SoFi Technologies' market value can be influenced by many factors that don't directly affect SoFi Technologies' 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 SoFi Technologies' value and its price as these two are different measures arrived at by different means. Investors typically determine if SoFi Technologies is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, SoFi Technologies' 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.