Rit Technologies Stock Market Value
| RITT Stock | USD 0.0001 0.00 0.00% |
| Symbol | RIT |
RIT 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 RIT Technologies' pink sheet 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 RIT Technologies.
| 11/17/2025 |
| 02/15/2026 |
If you would invest 0.00 in RIT Technologies on November 17, 2025 and sell it all today you would earn a total of 0.00 from holding RIT Technologies or generate 0.0% return on investment in RIT Technologies over 90 days. RiT Technologies Ltd. provides intelligent infrastructure management and indoor optical wireless technology solutions wo... More
RIT 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 RIT Technologies' pink sheet 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 RIT Technologies upside and downside potential and time the market with a certain degree of confidence.
RIT Technologies Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for RIT Technologies' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as RIT Technologies' standard deviation. In reality, there are many statistical measures that can use RIT Technologies historical prices to predict the future RIT Technologies' volatility.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of RIT 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.
RIT Technologies Backtested Returns
We have found three technical indicators for RIT Technologies, which you can use to evaluate the volatility of the company. The company holds a Beta of 0.0, which implies not very significant fluctuations relative to the market. the returns on MARKET and RIT Technologies are completely uncorrelated.
Auto-correlation | 1.00 |
Perfect predictability
RIT Technologies has perfect predictability. Overlapping area represents the amount of predictability between RIT Technologies time series from 17th of November 2025 to 1st of January 2026 and 1st of January 2026 to 15th 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 RIT Technologies price movement. The serial correlation of 1.0 indicates that 100.0% of current RIT Technologies price fluctuation can be explain by its past prices.
| Correlation Coefficient | 1.0 | |
| Spearman Rank Test | 1.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
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Additional Tools for RIT Pink Sheet Analysis
When running RIT Technologies' price analysis, check to measure RIT 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 RIT Technologies is operating at the current time. Most of RIT Technologies' value examination focuses on studying past and present price action to predict the probability of RIT Technologies' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move RIT Technologies' price. Additionally, you may evaluate how the addition of RIT Technologies to your portfolios can decrease your overall portfolio volatility.