Nanoflex Power Corp Stock Market Value
| OPVS Stock | USD 0.0001 0.00 0.00% |
| Symbol | NanoFlex |
NanoFlex Power '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 NanoFlex Power'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 NanoFlex Power.
| 10/25/2025 |
| 01/23/2026 |
If you would invest 0.00 in NanoFlex Power on October 25, 2025 and sell it all today you would earn a total of 0.00 from holding NanoFlex Power Corp or generate 0.0% return on investment in NanoFlex Power over 90 days. NanoFlex Power Corporation researches, develops, commercializes, and licenses photovoltaic technologies that enable thin... More
NanoFlex Power 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 NanoFlex Power'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 NanoFlex Power Corp upside and downside potential and time the market with a certain degree of confidence.
NanoFlex Power Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for NanoFlex Power's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as NanoFlex Power's standard deviation. In reality, there are many statistical measures that can use NanoFlex Power historical prices to predict the future NanoFlex Power's volatility.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of NanoFlex Power's 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.
NanoFlex Power Corp Backtested Returns
We have found three technical indicators for NanoFlex Power, which you can use to evaluate the volatility of the firm. The company secures a Beta (Market Risk) of 0.0, which conveys not very significant fluctuations relative to the market. the returns on MARKET and NanoFlex Power are completely uncorrelated.
Auto-correlation | 1.00 |
Perfect predictability
NanoFlex Power Corp has perfect predictability. Overlapping area represents the amount of predictability between NanoFlex Power time series from 25th of October 2025 to 9th of December 2025 and 9th of December 2025 to 23rd 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 NanoFlex Power Corp price movement. The serial correlation of 1.0 indicates that 100.0% of current NanoFlex Power 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 NanoFlex Pink Sheet Analysis
When running NanoFlex Power's price analysis, check to measure NanoFlex Power'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 NanoFlex Power is operating at the current time. Most of NanoFlex Power's value examination focuses on studying past and present price action to predict the probability of NanoFlex Power's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move NanoFlex Power's price. Additionally, you may evaluate how the addition of NanoFlex Power to your portfolios can decrease your overall portfolio volatility.