SoFi Technologies Stock Forecast - 4 Period Moving Average
| SOFI Stock | USD 7.58 0.33 4.55% |
The 4 Period Moving Average forecasted value of SoFi Technologies on the next trading day is expected to be 7.27 with a mean absolute deviation of 0.28 and the sum of the absolute errors of 15.90. SoFi Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast SoFi Technologies stock prices and determine the direction of SoFi Technologies's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of SoFi Technologies' historical fundamentals, such as revenue growth or operating cash flow patterns. Although SoFi Technologies' naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of SoFi Technologies' systematic risk associated with finding meaningful patterns of SoFi Technologies fundamentals over time.
Check out Historical Fundamental Analysis of SoFi Technologies to cross-verify your projections. SoFi |
Open Interest Against 2024-04-26 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.
Most investors in SoFi Technologies cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the SoFi Technologies' time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets SoFi Technologies' price structures and extracts relationships that further increase the generated results' accuracy.
A four-period moving average forecast model for SoFi Technologies is based on an artificially constructed daily price series in which the value for a given day is replaced by the mean of that value and the values for four preceding and succeeding time periods. This model is best suited to forecast equities with high volatility. SoFi Technologies 4 Period Moving Average Price Forecast For the 24th of April
Given 90 days horizon, the 4 Period Moving Average forecasted value of SoFi Technologies on the next trading day is expected to be 7.27 with a mean absolute deviation of 0.28, mean absolute percentage error of 0.15, and the sum of the absolute errors of 15.90.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 2.79 and 11.75, 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 4 Period Moving Average 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 | 108.8671 |
| Bias | Arithmetic mean of the errors | 0.0396 |
| MAD | Mean absolute deviation | 0.2789 |
| MAPE | Mean absolute percentage error | 0.0361 |
| SAE | Sum of the absolute errors | 15.895 |
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.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.
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 Technical and Predictive Analytics
The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of SoFi Technologies' price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of SoFi Technologies' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
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 | 2.93 | |||
| Semi Deviation | 4.14 | |||
| Standard Deviation | 4.42 | |||
| Variance | 19.54 | |||
| Downside Variance | 17.79 | |||
| Semi Variance | 17.17 | |||
| Expected Short fall | (2.99) |
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.
SoFi Technologies Investors Sentiment
The influence of SoFi Technologies' investor sentiment on the probability of its price appreciation or decline could be a good factor in your decision-making process regarding taking a position in SoFi. The overall investor sentiment generally increases the direction of a stock movement in a one-year investment horizon. However, the impact of investor sentiment on the entire stock market does not have solid backing from leading economists and market statisticians.
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.
SoFi Technologies' market sentiment shows the aggregated news analyzed to detect positive and negative mentions from the text and comments. The data is normalized to provide daily scores for SoFi Technologies' and other traded tickers. The bigger the bubble, the more accurate is the estimated score. Higher bars for a given day show more participation in the average SoFi Technologies' news discussions. The higher the estimated score, the more favorable is the investor's outlook on SoFi Technologies.
SoFi Technologies Implied Volatility | 67.94 |
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.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards SoFi Technologies in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, SoFi Technologies' short interest history, or implied volatility extrapolated from SoFi Technologies options trading.
Currently Active Assets on Macroaxis
When determining whether SoFi Technologies offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of SoFi Technologies' financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Sofi Technologies Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Sofi Technologies Stock: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.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 Crypto Correlations module to use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins.
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.
| Portfolio Dashboard Portfolio dashboard that provides centralized access to all your investments | |
| Odds Of Bankruptcy Get analysis of equity chance of financial distress in the next 2 years | |
| Balance Of Power Check stock momentum by analyzing Balance Of Power indicator and other technical ratios | |
| Share Portfolio Track or share privately all of your investments from the convenience of any device | |
| Sign In To Macroaxis Sign in to explore Macroaxis' wealth optimization platform and fintech modules | |
| Price Transformation Use Price Transformation models to analyze the depth of different equity instruments across global markets |
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.