Ronn Inc Stock Technical Analysis
RONN Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as RONN, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to RONNRONN |
RONN '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 RONN's 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 RONN.
| 11/07/2025 |
| 02/05/2026 |
If you would invest 0.00 in RONN on November 7, 2025 and sell it all today you would earn a total of 0.00 from holding RONN Inc or generate 0.0% return on investment in RONN over 90 days.
RONN 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 RONN's 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 RONN Inc upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 103.77 | |||
| Information Ratio | 0.4757 | |||
| Maximum Drawdown | 1100.0 | |||
| Value At Risk | (100.00) | |||
| Potential Upside | 1000.0 |
RONN Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for RONN's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as RONN's standard deviation. In reality, there are many statistical measures that can use RONN historical prices to predict the future RONN's volatility.| Risk Adjusted Performance | 0.3677 | |||
| Jensen Alpha | 209.58 | |||
| Total Risk Alpha | 189.4 | |||
| Sortino Ratio | 2.02 | |||
| Treynor Ratio | 18.12 |
RONN February 5, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.3677 | |||
| Market Risk Adjusted Performance | 18.13 | |||
| Mean Deviation | 368.67 | |||
| Semi Deviation | 53.82 | |||
| Downside Deviation | 103.77 | |||
| Coefficient Of Variation | 210.18 | |||
| Standard Deviation | 441.38 | |||
| Variance | 194813.56 | |||
| Information Ratio | 0.4757 | |||
| Jensen Alpha | 209.58 | |||
| Total Risk Alpha | 189.4 | |||
| Sortino Ratio | 2.02 | |||
| Treynor Ratio | 18.12 | |||
| Maximum Drawdown | 1100.0 | |||
| Value At Risk | (100.00) | |||
| Potential Upside | 1000.0 | |||
| Downside Variance | 10769.23 | |||
| Semi Variance | 2896.44 | |||
| Expected Short fall | (1,000.00) | |||
| Skewness | 1.26 | |||
| Kurtosis | (0.37) |
RONN Inc Backtested Returns
RONN is out of control given 3 months investment horizon. RONN Inc maintains Sharpe Ratio (i.e., Efficiency) of 0.48, which implies the firm had a 0.48 % return per unit of standard deviation over the last 3 months. We were able to interpolate twenty-one different technical indicators, which can help you to evaluate if expected returns of 210.0% are justified by taking the suggested risk. Use RONN Semi Deviation of 53.82, risk adjusted performance of 0.3677, and Market Risk Adjusted Performance of 18.13 to evaluate company specific risk that cannot be diversified away. RONN holds a performance score of 37 on a scale of zero to a hundred. The company holds a Beta of 11.59, which implies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, RONN will likely underperform. Use RONN variance, value at risk, as well as the relationship between the Value At Risk and skewness , to analyze future returns on RONN.
Auto-correlation | 0.16 |
Very weak predictability
RONN Inc has very weak predictability. Overlapping area represents the amount of predictability between RONN time series from 7th of November 2025 to 22nd of December 2025 and 22nd of December 2025 to 5th 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 RONN Inc price movement. The serial correlation of 0.16 indicates that over 16.0% of current RONN price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.16 | |
| Spearman Rank Test | 0.21 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
RONN technical pink sheet 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, pink sheet market cycles, or different charting patterns.
RONN Inc Technical Analysis
The output start index for this execution was fifty with a total number of output elements of eleven. 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 RONN Inc volatility. High ATR values indicate high volatility, and low values indicate low volatility.
RONN February 5, 2026 Technical Indicators
Most technical analysis of RONN 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 RONN from various momentum indicators to cycle indicators. When you analyze RONN 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.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.3677 | |||
| Market Risk Adjusted Performance | 18.13 | |||
| Mean Deviation | 368.67 | |||
| Semi Deviation | 53.82 | |||
| Downside Deviation | 103.77 | |||
| Coefficient Of Variation | 210.18 | |||
| Standard Deviation | 441.38 | |||
| Variance | 194813.56 | |||
| Information Ratio | 0.4757 | |||
| Jensen Alpha | 209.58 | |||
| Total Risk Alpha | 189.4 | |||
| Sortino Ratio | 2.02 | |||
| Treynor Ratio | 18.12 | |||
| Maximum Drawdown | 1100.0 | |||
| Value At Risk | (100.00) | |||
| Potential Upside | 1000.0 | |||
| Downside Variance | 10769.23 | |||
| Semi Variance | 2896.44 | |||
| Expected Short fall | (1,000.00) | |||
| Skewness | 1.26 | |||
| Kurtosis | (0.37) |