Sofi Technologies Stock Technical Analysis
| SOFI Stock | USD 19.51 0.10 0.51% |
As of the 18th of February 2026, SoFi Technologies has the variance of 13.38, and Risk Adjusted Performance of (0.13). 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 Technologies' Momentum analyses are specifically helpful, as they help investors time the market using mark points where the market can reverse. The reversal spots are usually identified through divergence between price movement and momentum.SoFi Technologies Analyst Consensus
| Target Price | Consensus | # of Analysts | |
| 26.87 | Buy | 19 | 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.
Is there potential for Consumer Finance market expansion? Will SoFi introduce new products? 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. Understanding fair value requires weighing current performance against future potential. 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.
Quarterly Earnings Growth (0.57) | Earnings Share 0.39 | Revenue Per Share | Quarterly Revenue Growth 0.402 | Return On Assets |
Investors evaluate SoFi Technologies using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating SoFi Technologies' intrinsic value - the estimated true worth - helps identify when the stock trades at a discount or premium to fair value. Analysts utilize numerous techniques to assess fundamental value, seeking to purchase shares when trading prices fall beneath estimated intrinsic worth. External factors like market trends, sector rotation, and investor psychology can cause SoFi Technologies' market price to deviate significantly 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. Conversely, SoFi Technologies' market price signifies the transaction level at which participants voluntarily complete trades.
SoFi Technologies '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 SoFi Technologies' 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 SoFi Technologies.
| 11/20/2025 |
| 02/18/2026 |
If you would invest 0.00 in SoFi Technologies on November 20, 2025 and sell it all today you would earn a total of 0.00 from holding SoFi Technologies or generate 0.0% return on investment in SoFi Technologies over 90 days. SoFi Technologies is related to or competes with Morgan Stanley, Huntington Bancshares, Raymond James, Charles Schwab, Synchrony Financial, Sun Life, and Arch Capital. SoFi Technologies, Inc. provides digital financial services More
SoFi Technologies 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 SoFi Technologies' 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 SoFi Technologies upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.19) | |||
| Maximum Drawdown | 16.63 | |||
| Value At Risk | (6.36) | |||
| Potential Upside | 4.89 |
SoFi Technologies Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SoFi Technologies' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SoFi Technologies' standard deviation. In reality, there are many statistical measures that can use SoFi Technologies historical prices to predict the future SoFi Technologies' volatility.| Risk Adjusted Performance | (0.13) | |||
| Jensen Alpha | (0.74) | |||
| Total Risk Alpha | (0.84) | |||
| Treynor Ratio | (0.27) |
SoFi Technologies February 18, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | (0.13) | |||
| Market Risk Adjusted Performance | (0.26) | |||
| Mean Deviation | 2.71 | |||
| Coefficient Of Variation | (580.51) | |||
| Standard Deviation | 3.66 | |||
| Variance | 13.38 | |||
| Information Ratio | (0.19) | |||
| Jensen Alpha | (0.74) | |||
| Total Risk Alpha | (0.84) | |||
| Treynor Ratio | (0.27) | |||
| Maximum Drawdown | 16.63 | |||
| Value At Risk | (6.36) | |||
| Potential Upside | 4.89 | |||
| Skewness | (0.17) | |||
| Kurtosis | 0.9394 |
SoFi Technologies Backtested Returns
SoFi Technologies owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.11, which indicates the firm had a -0.11 % return per unit of volatility over the last 3 months. SoFi Technologies exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate SoFi Technologies' risk adjusted performance of (0.13), and Variance of 13.38 to confirm the risk estimate we provide. The entity has a beta of 2.4, 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, SoFi Technologies will likely underperform. At this point, SoFi Technologies has a negative expected return of -0.36%. Please make sure to validate SoFi Technologies' treynor ratio, as well as the relationship between the kurtosis and day median price , to decide if SoFi Technologies performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.16 |
Very weak predictability
SoFi Technologies has very weak predictability. Overlapping area represents the amount of predictability between SoFi Technologies time series from 20th of November 2025 to 4th of January 2026 and 4th of January 2026 to 18th of February 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 SoFi Technologies price movement. The serial correlation of 0.16 indicates that over 16.0% of current SoFi Technologies price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.16 | |
| Spearman Rank Test | 0.33 | |
| Residual Average | 0.0 | |
| Price Variance | 8.77 |
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 one with a total number of output elements of sixty. 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.
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.
| 2023 | 2024 | 2025 | 2026 (projected) | Dividend Yield | 0.004299 | 0.00102 | 0.001173 | 0.001115 | Price To Sales Ratio | 3.25 | 4.37 | 6.31 | 6.63 |
SoFi Technologies February 18, 2026 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 | (0.13) | |||
| Market Risk Adjusted Performance | (0.26) | |||
| Mean Deviation | 2.71 | |||
| Coefficient Of Variation | (580.51) | |||
| Standard Deviation | 3.66 | |||
| Variance | 13.38 | |||
| Information Ratio | (0.19) | |||
| Jensen Alpha | (0.74) | |||
| Total Risk Alpha | (0.84) | |||
| Treynor Ratio | (0.27) | |||
| Maximum Drawdown | 16.63 | |||
| Value At Risk | (6.36) | |||
| Potential Upside | 4.89 | |||
| Skewness | (0.17) | |||
| Kurtosis | 0.9394 |
SoFi Technologies February 18, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as SoFi stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 1,823,032 | ||
| Daily Balance Of Power | (0.14) | ||
| Rate Of Daily Change | 0.99 | ||
| Day Median Price | 19.48 | ||
| Day Typical Price | 19.49 | ||
| Price Action Indicator | (0.01) |
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.
| ETFs Find actively traded Exchange Traded Funds (ETF) from around the world | |
| Piotroski F Score Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals | |
| Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
| Global Correlations Find global opportunities by holding instruments from different markets | |
| Funds Screener Find actively-traded funds from around the world traded on over 30 global exchanges | |
| Bond Analysis Evaluate and analyze corporate bonds as a potential investment for your portfolios. | |
| Equity Search Search for actively traded equities including funds and ETFs from over 30 global markets | |
| Portfolio Anywhere Track or share privately all of your investments from the convenience of any device | |
| Instant Ratings Determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance |