SoFi Technologies Stock Forward View
| SOFI Stock | USD 24.36 0.24 0.98% |
SoFi Stock outlook is based on your current time horizon. We recommend always using this module together with an analysis of SoFi Technologies' historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 30th of January 2026, the relative strength indicator of SoFi Technologies' share price is approaching 40. This usually implies that the stock is in nutural position, most likellhy at or near its support level. The main point of RSI analysis is to track how fast people are buying or selling SoFi Technologies, making its price go up or down. Momentum 40
Sell Extended
Oversold | Overbought |
Quarterly Earnings Growth 1.059 | EPS Estimate Next Quarter 0.0909 | EPS Estimate Current Year 0.3636 | EPS Estimate Next Year 0.5457 | Wall Street Target Price 27.1111 |
Using SoFi Technologies hype-based prediction, you can estimate the value of SoFi Technologies from the perspective of SoFi Technologies response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards SoFi Technologies using SoFi Technologies' stock options and short interest. It helps to benchmark the overall future attitude of investors towards SoFi using crowd psychology based on the activity and movement of SoFi Technologies' stock price.
SoFi Technologies Short Interest
A significant increase or decrease in SoFi Technologies' short interest from the previous month could be a good indicator of investor sentiment towards SoFi. Short interest can provide insight into the potential direction of SoFi Technologies stock and how bullish or bearish investors feel about the market overall.
200 Day MA 22.5588 | Short Percent 0.0911 | Short Ratio 2.52 | Shares Short Prior Month 117.3 M | 50 Day MA 27.0066 |
SoFi Relative Strength Index
The Naive Prediction forecasted value of SoFi Technologies on the next trading day is expected to be 23.37 with a mean absolute deviation of 0.82 and the sum of the absolute errors of 50.12.SoFi Technologies Hype to Price Pattern
Investor biases related to SoFi Technologies' public news can be used to forecast risks associated with an investment in SoFi. The trend in average sentiment can be used to explain how an investor holding SoFi can time the market purely based on public headlines and social activities around SoFi Technologies. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Some investors profit by finding stocks that are overvalued or undervalued based on market sentiment. The correlation of SoFi Technologies' market sentiment to its price can help taders to make decisions based on the overall investors consensus about SoFi Technologies.
SoFi Technologies Implied Volatility | 0.63 |
SoFi Technologies' implied volatility exposes the market's sentiment of SoFi Technologies stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if SoFi Technologies' implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that SoFi Technologies stock will not fluctuate a lot when SoFi Technologies' options are near their expiration.
The Naive Prediction forecasted value of SoFi Technologies on the next trading day is expected to be 23.37 with a mean absolute deviation of 0.82 and the sum of the absolute errors of 50.12. SoFi Technologies after-hype prediction price | USD 24.4 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Check out Historical Fundamental Analysis of SoFi Technologies to cross-verify your projections. Prediction based on Rule 16 of the current SoFi contract
Based on the Rule 16, the options market is currently suggesting that SoFi Technologies will have an average daily up or down price movement of about 0.0394% per day over the life of the 2026-04-17 option contract. With SoFi Technologies trading at USD 24.36, that is roughly USD 0.009592 . If you think that the market is fully incorporating SoFi Technologies' daily price movement you should consider acquiring SoFi Technologies options at the current volatility level of 0.63%. But if you have an opposite viewpoint you should avoid it and even consider selling them.
Open Interest Against 2026-04-17 SoFi Option Contracts
Although open interest is a measure utilized in the options markets, it could be used to forecast SoFi Technologies' spot prices because the number of available contracts in the market changes daily, and new contracts can be created or liquidated at will. Since open interest in SoFi Technologies' options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for SoFi Technologies stock based on available contracts left at the end of a trading day.
Please note that to derive more accurate forecasting about market movement from the current SoFi Technologies' open interest, investors have to compare it to SoFi Technologies' spot prices. As Ford's stock price increases, high open interest indicates that money is entering the market, and the market is strongly bullish. Conversely, if the price of SoFi Technologies is decreasing and there is high open interest, that is a sign that the bearish trend will continue, and investors may react by taking short positions in SoFi. So, decreasing or low open interest during a bull market indicates that investors are becoming uncertain of the depth of the bullish trend, and a reversal in sentiment will likely follow.
SoFi Technologies Additional Predictive Modules
Most predictive techniques to examine SoFi price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for SoFi using various technical 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 | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
SoFi Technologies Cash Forecast
Predicting cash flow or other financial metrics requires analysts to utilize a variety of statistical methods, techniques, and algorithms. These tools help uncover hidden patterns in the SoFi Technologies' financial statements, enabling forecasts of their impact on future stock prices.
Cash | First Reported 2019-12-31 | Previous Quarter 2.1 B | Current Value 3.2 B | Quarterly Volatility 1.2 B |
SoFi Technologies Naive Prediction Price Forecast For the 31st of January
Given 90 days horizon, the Naive Prediction forecasted value of SoFi Technologies on the next trading day is expected to be 23.37 with a mean absolute deviation of 0.82, mean absolute percentage error of 1.39, and the sum of the absolute errors of 50.12.Please note that although there have been many attempts to predict SoFi Stock prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that SoFi Technologies' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
SoFi Technologies Stock Forecast Pattern
| Backtest SoFi Technologies | SoFi Technologies Price Prediction | Buy or Sell Advice |
SoFi Technologies Forecasted Value
In the context of forecasting SoFi Technologies' Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. SoFi Technologies' downside and upside margins for the forecasting period are 19.56 and 27.18, respectively. We have considered SoFi Technologies' daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of SoFi Technologies stock data series using in forecasting. Note that when a statistical model is used to represent SoFi Technologies stock, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.| AIC | Akaike Information Criteria | 118.443 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.8217 |
| MAPE | Mean absolute percentage error | 0.0296 |
| SAE | Sum of the absolute errors | 50.1234 |
Predictive Modules for SoFi Technologies
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as SoFi Technologies. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.SoFi Technologies After-Hype Price Density Analysis
As far as predicting the price of SoFi Technologies at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in SoFi Technologies or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Stock prices, such as prices of SoFi Technologies, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
SoFi Technologies Estimiated After-Hype Price Volatility
In the context of predicting SoFi Technologies' stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on SoFi Technologies' historical news coverage. SoFi Technologies' after-hype downside and upside margins for the prediction period are 20.59 and 28.21, respectively. We have considered SoFi Technologies' daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
SoFi Technologies is not too volatile at this time. Analysis and calculation of next after-hype price of SoFi Technologies is based on 3 months time horizon.
SoFi Technologies Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as SoFi Technologies is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading SoFi Technologies backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Stock price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with SoFi Technologies, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.30 | 3.81 | 0.04 | 0.07 | 10 Events / Month | 6 Events / Month | In about 10 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
24.36 | 24.40 | 0.16 |
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SoFi Technologies Hype Timeline
SoFi Technologies is at this time traded for 24.36. The entity has historical hype elasticity of 0.04, and average elasticity to hype of competition of 0.07. SoFi is forecasted to increase in value after the next headline, with the price projected to jump to 24.4 or above. The average volatility of media hype impact on the company the price is over 100%. The price growth on the next news is projected to be 0.16%, whereas the daily expected return is at this time at -0.3%. The volatility of related hype on SoFi Technologies is about 1693.33%, with the expected price after the next announcement by competition of 24.43. The company reported the previous year's revenue of 2.61 B. Net Income was 498.67 M with profit before overhead, payroll, taxes, and interest of 2.72 B. Given the investment horizon of 90 days the next forecasted press release will be in about 10 days. Check out Historical Fundamental Analysis of SoFi Technologies to cross-verify your projections.SoFi Technologies Related Hype Analysis
Having access to credible news sources related to SoFi Technologies' direct competition is more important than ever and may enhance your ability to predict SoFi Technologies' future price movements. Getting to know how SoFi Technologies' peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how SoFi Technologies may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| MS | Morgan Stanley | 10.23 | 9 per month | 1.21 | 0.08 | 2.55 | (2.21) | 9.48 | |
| HBAN | Huntington Bancshares Incorporated | (0.15) | 7 per month | 1.57 | 0.05 | 2.86 | (2.40) | 10.36 | |
| RJF | Raymond James Financial | (0.11) | 7 per month | 1.33 | 0.0003 | 2.22 | (2.20) | 5.52 | |
| SCHW | Charles Schwab Corp | (1.49) | 6 per month | 1.11 | 0.07 | 2.09 | (2.32) | 5.35 | |
| SYF | Synchrony Financial | (0.64) | 10 per month | 0.00 | (0.03) | 2.67 | (3.58) | 12.73 | |
| SLF | Sun Life Financial | (0.04) | 10 per month | 1.15 | 0.02 | 1.51 | (1.76) | 5.63 | |
| ACGL | Arch Capital Group | (2.14) | 11 per month | 0.84 | 0.09 | 1.82 | (1.42) | 4.71 | |
| BBD | Banco Bradesco SA | (0.05) | 11 per month | 2.00 | 0.15 | 4.05 | (2.51) | 12.78 | |
| STT | State Street Corp | (1.55) | 7 per month | 1.70 | 0.10 | 1.85 | (2.12) | 9.12 | |
| ARES | Ares Management LP | (1.81) | 11 per month | 1.90 | (0.0002) | 2.91 | (3.44) | 11.24 |
Other Forecasting Options for SoFi Technologies
For every potential investor in SoFi, whether a beginner or expert, SoFi Technologies' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. SoFi Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in SoFi. Basic forecasting techniques help filter out the noise by identifying SoFi Technologies' price trends.SoFi Technologies Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with SoFi Technologies stock to make a market-neutral strategy. Peer analysis of SoFi Technologies could also be used in its relative valuation, which is a method of valuing SoFi Technologies by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
SoFi Technologies Market Strength Events
Market strength indicators help investors to evaluate how SoFi Technologies stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading SoFi Technologies shares will generate the highest return on investment. By undertsting and applying SoFi Technologies stock market strength indicators, traders can identify SoFi Technologies entry and exit signals to maximize returns.
SoFi Technologies Risk Indicators
The analysis of SoFi Technologies' basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in SoFi Technologies' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting sofi stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
| Mean Deviation | 2.96 | |||
| Standard Deviation | 3.9 | |||
| Variance | 15.17 |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
Story Coverage note for SoFi Technologies
The number of cover stories for SoFi Technologies depends on current market conditions and SoFi Technologies' risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that SoFi Technologies is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about SoFi Technologies' long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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SoFi Technologies Short Properties
SoFi Technologies' future price predictability will typically decrease when SoFi Technologies' long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of SoFi Technologies often depends not only on the future outlook of the potential SoFi Technologies' investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. SoFi Technologies' indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 1.1 B | |
| Cash And Short Term Investments | 4.3 B |
Check out Historical Fundamental Analysis of SoFi Technologies to cross-verify your projections. For more detail on how to invest in SoFi Stock please use our How to Invest in SoFi Technologies guide.You can also try the Stock Screener module to find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook..
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 1.059 | Earnings Share 0.56 | Revenue Per Share | Quarterly Revenue Growth 0.378 | 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.