SOLOMON SYSTECH (Germany) Market Value

RZF Stock  EUR 0.06  0.00  0.00%   
SOLOMON SYSTECH's market value is the price at which a share of SOLOMON SYSTECH trades on a public exchange. It measures the collective expectations of SOLOMON SYSTECH investors about its performance. SOLOMON SYSTECH is selling for under 0.0555 as of the 11th of January 2026; that is No Change since the beginning of the trading day. The stock's last reported lowest price was 0.0555.
With this module, you can estimate the performance of a buy and hold strategy of SOLOMON SYSTECH and determine expected loss or profit from investing in SOLOMON SYSTECH over a given investment horizon. Check out SOLOMON SYSTECH Correlation, SOLOMON SYSTECH Volatility and SOLOMON SYSTECH Alpha and Beta module to complement your research on SOLOMON SYSTECH.
Symbol

Please note, there is a significant difference between SOLOMON SYSTECH's value and its price as these two are different measures arrived at by different means. Investors typically determine if SOLOMON SYSTECH is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, SOLOMON SYSTECH's 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.

SOLOMON SYSTECH '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 SOLOMON SYSTECH's 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 SOLOMON SYSTECH.
0.00
12/12/2025
No Change 0.00  0.0 
In 30 days
01/11/2026
0.00
If you would invest  0.00  in SOLOMON SYSTECH on December 12, 2025 and sell it all today you would earn a total of 0.00 from holding SOLOMON SYSTECH or generate 0.0% return on investment in SOLOMON SYSTECH over 30 days. SOLOMON SYSTECH is related to or competes with COLUMBIA SPORTSWEAR, PLAY2CHILL, Commercial Vehicle, and Guangzhou Automobile. More

SOLOMON SYSTECH 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 SOLOMON SYSTECH's 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 SOLOMON SYSTECH upside and downside potential and time the market with a certain degree of confidence.

SOLOMON SYSTECH Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for SOLOMON SYSTECH's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SOLOMON SYSTECH's standard deviation. In reality, there are many statistical measures that can use SOLOMON SYSTECH historical prices to predict the future SOLOMON SYSTECH's volatility.
Hype
Prediction
LowEstimatedHigh
0.050.060.06
Details
Intrinsic
Valuation
LowRealHigh
0.050.050.06
Details
Naive
Forecast
LowNextHigh
0.060.060.06
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
0.060.060.06
Details

SOLOMON SYSTECH Backtested Returns

We have found three technical indicators for SOLOMON SYSTECH, which you can use to evaluate the volatility of the company. The entity has a beta of 0.0, which indicates not very significant fluctuations relative to the market. the returns on MARKET and SOLOMON SYSTECH are completely uncorrelated.

Auto-correlation

    
  0.00  

No correlation between past and present

SOLOMON SYSTECH has no correlation between past and present. Overlapping area represents the amount of predictability between SOLOMON SYSTECH time series from 12th of December 2025 to 27th of December 2025 and 27th of December 2025 to 11th of January 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 SOLOMON SYSTECH price movement. The serial correlation of 0.0 indicates that just 0.0% of current SOLOMON SYSTECH price fluctuation can be explain by its past prices.
Correlation Coefficient0.0
Spearman Rank Test1.0
Residual Average0.0
Price Variance0.0

SOLOMON SYSTECH lagged returns against current returns

Autocorrelation, which is SOLOMON SYSTECH stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting SOLOMON SYSTECH's stock expected returns. We can calculate the autocorrelation of SOLOMON SYSTECH returns to help us make a trade decision. For example, suppose you find that SOLOMON SYSTECH has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
   Current and Lagged Values   
       Timeline  

SOLOMON SYSTECH regressed lagged prices vs. current prices

Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If SOLOMON SYSTECH stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SOLOMON SYSTECH stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SOLOMON SYSTECH stock over time.
   Current vs Lagged Prices   
       Timeline  

SOLOMON SYSTECH Lagged Returns

When evaluating SOLOMON SYSTECH's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SOLOMON SYSTECH stock have on its future price. SOLOMON SYSTECH autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, SOLOMON SYSTECH autocorrelation shows the relationship between SOLOMON SYSTECH stock current value and its past values and can show if there is a momentum factor associated with investing in SOLOMON SYSTECH.
   Regressed Prices   
       Timeline  

Thematic Opportunities

Explore Investment Opportunities

Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
Explore Investing Ideas  

Additional Tools for SOLOMON Stock Analysis

When running SOLOMON SYSTECH's price analysis, check to measure SOLOMON SYSTECH'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 SOLOMON SYSTECH is operating at the current time. Most of SOLOMON SYSTECH's value examination focuses on studying past and present price action to predict the probability of SOLOMON SYSTECH's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move SOLOMON SYSTECH's price. Additionally, you may evaluate how the addition of SOLOMON SYSTECH to your portfolios can decrease your overall portfolio volatility.