Sofi Technologies Stock Technical Analysis
| SOFI Stock | USD 15.35 0.32 2.13% |
As of the 22nd of December, SoFi Technologies has the coefficient of variation of 337.58, and Risk Adjusted Performance of 0.2424. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of SoFi Technologies, as well as the relationship between them.
SoFi Technologies Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as SoFi, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SoFiSoFi |
SoFi Technologies Analyst Consensus
| Target Price | Advice | # of Analysts | |
| 9.97 | Hold | 17 | Odds |
Most SoFi analysts issue ratings four times a year, at intervals of three months. Ratings are usually accompanied by a target price to helps potential investors understand SoFi stock's fair price compared to its market value. Analysts arrive at stock ratings after researching public financial statements of SoFi Technologies, talking to its executives and customers, or listening to SoFi conference calls.
SoFi Technologies 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.
SoFi Technologies Technical Analysis
The output start index for this execution was twenty with a total number of output elements of fourty-one. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of SoFi Technologies volatility. High ATR values indicate high volatility, and low values indicate low volatility.
SoFi Technologies Trend Analysis
Use this graph to draw trend lines for SoFi Technologies. You can use it to identify possible trend reversals for SoFi Technologies as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual SoFi Technologies price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.SoFi Technologies Best Fit Change Line
The following chart estimates an ordinary least squares regression model for SoFi Technologies applied against its price change over selected period. The best fit line has a slop of 0.16 , which means SoFi Technologies will continue generating value for investors. It has 122 observation points and a regression sum of squares at 980.51, which is the sum of squared deviations for the predicted SoFi Technologies price change compared to its average price change.About SoFi Technologies Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of SoFi Technologies on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of SoFi Technologies based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on SoFi Technologies price pattern first instead of the macroeconomic environment surrounding SoFi Technologies. By analyzing SoFi Technologies's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of SoFi Technologies's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to SoFi Technologies specific price patterns or momentum indicators. Please read more on our technical analysis page.
| 2021 | 2022 | 2023 | 2024 (projected) | Dividend Yield | 0.0388 | 0.009734 | 0.004299 | 0.004084 | Price To Sales Ratio | 8.52 | 2.73 | 4.55 | 3.06 |
SoFi Technologies December 22, 2024 Technical Indicators
Most technical analysis of SoFi 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 different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.2424 | |||
| Market Risk Adjusted Performance | 0.5137 | |||
| Mean Deviation | 2.61 | |||
| Semi Deviation | 2.23 | |||
| Downside Deviation | 2.75 | |||
| Coefficient Of Variation | 337.58 | |||
| Standard Deviation | 3.42 | |||
| Variance | 11.69 | |||
| Information Ratio | 0.2868 | |||
| Jensen Alpha | 0.9588 | |||
| Total Risk Alpha | 0.9072 | |||
| Sortino Ratio | 0.3561 | |||
| Treynor Ratio | 0.5037 | |||
| Maximum Drawdown | 19.96 | |||
| Value At Risk | (3.05) | |||
| Potential Upside | 7.16 | |||
| Downside Variance | 7.59 | |||
| Semi Variance | 4.99 | |||
| Expected Short fall | (3.20) | |||
| Skewness | 0.4002 | |||
| Kurtosis | 1.42 |
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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