SOFI TECHNOLOGIES (Germany) Technical Analysis

6B0 Stock   15.64  0.17  1.10%   
As of the 2nd of December, SOFI TECHNOLOGIES has the risk adjusted performance of 0.2611, and Coefficient Of Variation of 301.97. SOFI TECHNOLOGIES technical analysis provides you with a way to harness past market data to determine a pattern that measures the direction of the company's future prices. Please validate SOFI TECHNOLOGIES semi deviation, coefficient of variation, and the relationship between the mean deviation and downside deviation to decide if SOFI TECHNOLOGIES is priced adequately, providing market reflects its prevalent price of 15.64 per share.

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 SOFI
  
SOFI TECHNOLOGIES's 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 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.
A focus of SOFI TECHNOLOGIES technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of SOFI TECHNOLOGIES trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...

SOFI TECHNOLOGIES Technical Analysis

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The output start index for this execution was thirty-six with a total number of output elements of twenty-five. 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 947.05, 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.

SOFI TECHNOLOGIES December 2, 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.

Complementary Tools for SOFI Stock analysis

When running SOFI TECHNOLOGIES's price analysis, check to measure SOFI TECHNOLOGIES's 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's value examination focuses on studying past and present price action to predict the probability of SOFI TECHNOLOGIES's 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's price. Additionally, you may evaluate how the addition of SOFI TECHNOLOGIES to your portfolios can decrease your overall portfolio volatility.
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