Cognetivity Neurosciences Stock Price on September 20, 2023
| CGNSF Stock | USD 0 0 42.86% |
If you're considering investing in Cognetivity Pink Sheet, it is important to understand the factors that can impact its price. As of today, the current price of Cognetivity Neurosciences stands at 0, as last reported on the 1st of December, with the highest price reaching 0 and the lowest price hitting 0 during the day. Cognetivity Neurosciences is out of control given 3 months investment horizon. Cognetivity Neurosciences secures Sharpe Ratio (or Efficiency) of 0.16, which signifies that the company had a 0.16% return per unit of risk over the last 3 months. We are able to interpolate and collect twenty-eight different technical indicators, which can help you to evaluate if expected returns of 6.34% are justified by taking the suggested risk. Use Cognetivity Neurosciences Downside Deviation of 45.8, risk adjusted performance of 0.1257, and Mean Deviation of 20.86 to evaluate company specific risk that cannot be diversified away.
Cognetivity Pink Sheet price history is provided at the adjusted basis, taking into account all of the recent filings.
Cognetivity |
Sharpe Ratio = 0.1649
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Estimated Market Risk
| 38.43 actual daily | 96 96% of assets are less volatile |
Expected Return
| 5.01 actual daily | 96 96% of assets have lower returns |
Risk-Adjusted Return
| 0.16 actual daily | 12 88% of assets perform better |
Based on monthly moving average Cognetivity Neurosciences is performing at about 12% of its full potential. If added to a well diversified portfolio the total return can be enhanced and market risk can be reduced. You can increase risk-adjusted return of Cognetivity Neurosciences by adding it to a well-diversified portfolio.
Cognetivity Neurosciences Valuation on September 20, 2023
It is possible to determine the worth of Cognetivity Neurosciences on a given historical date. On September 20, 2023 Cognetivity was worth 0.097 at the beginning of the trading date compared to the closed value of 0.11. We use multiple weighted factors in our valuation methodologies to arrive at the intrinsic value of Cognetivity Neurosciences pink sheet. Still, in general, we apply an absolute valuation method to find Cognetivity Neurosciences' value based on its fundamental and technical indicators available within our service. As compared to an absolute model, our relative valuation model uses a comparative analysis of Cognetivity Neurosciences where we calculate exposure to its market risk and evaluate relevant financial multiples and ratios against Cognetivity Neurosciences' related companies.
| Open | High | Low | Close | Volume | |
| 0.12 | 0.12 | 0.12 | 0.12 | 2,600 | |
09/20/2023 | 0.1 | 0.11 | 0.1 | 0.11 | 10,200 |
| 0.11 | 0.11 | 0.11 | 0.11 | 1.00 |
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Cognetivity Neurosciences Trading Date Momentum on September 20, 2023
| On September 21 2023 Cognetivity Neurosciences was traded for 0.11 at the closing time. The highest daily price throughout the period was 0.11 and the lowest price was 0.11 . There was no trading activity during the period 1.0. Lack of trading volume on 09/21/2023 did not affect price variability. The overall trading delta to current closing price is 0.00% . |
Cognetivity Neurosciences Fundamentals Correlations and Trends
By evaluating Cognetivity Neurosciences' financials over time, investors can gain insight into future company performance. However, you can also analyze the published financial statements to find patterns among Cognetivity Neurosciences' main balance sheet or income statement drivers and many other relevant indicators that can statistically be found significantly correlated or uncorrelated. Cognetivity financial account trend analysis is a perfect complement when working with valuation or volatility modules.About Cognetivity Neurosciences Pink Sheet history
Cognetivity Neurosciences investors dedicate a lot of time and effort to gaining insight into how a market's past behavior relates to its future. Access to timely market data for Cognetivity is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in Cognetivity Neurosciences will depend on recognizing future opportunities and eliminating past mistakes. Historical data analysis is the study of market behavior over a given time. Recorded market-related data such as price, volatility, and volume can be quantified and studied over a defined period. Through a detailed examination of a market's past behavior, traders and investors can gain perspective on the inner workings of that market. The information obtained throughout analyzing Cognetivity Neurosciences stock prices may prove useful in developing a viable investing in Cognetivity Neurosciences
Cognetivity Neurosciences Ltd. operates as a healthcare company. Cognetivity Neurosciences Ltd. was incorporated in 2015 and is headquartered in Vancouver, Canada. Cognetivity Neurosciences operates under Health Information Services classification in the United States and is traded on OTC Exchange.
Cognetivity Neurosciences Pink Sheet Technical Analysis
Cognetivity Neurosciences 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.
Price Boundaries
Cognetivity Neurosciences Period Price Range
Low | December 1, 2024
| High |
0.00 | 0.00 |
Cognetivity Neurosciences cannot be verified against its exchange. Please verify the symbol is currently traded on PINK Exchange. If you still believe the symbol you are trying to look up is valid, please let us know, and we will check it as soon as possible.
Cognetivity Neurosciences December 1, 2024 Market Strength
Market strength indicators help investors to evaluate how Cognetivity Neurosciences pink sheet reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Cognetivity Neurosciences shares will generate the highest return on investment. By undertsting and applying Cognetivity Neurosciences pink sheet market strength indicators, traders can identify Cognetivity Neurosciences entry and exit signals to maximize returns
Cognetivity Neurosciences Technical and Predictive Indicators
Predictive indicators are helping investors to find signals for Cognetivity Neurosciences' price direction in advance. Along with the technical and fundamental analysis of Cognetivity Pink Sheet historical price patterns, it is also worthwhile for investors to track various predictive indicators of Cognetivity to make sure they correctly time the market and exploit it's hidden potentials. Even though most predictive indicators are useful for the short-term horizon, it's virtually impossible to predict the unforeseen market. For traders with a short-term horizon, predictive indicators add value when properly applied. Long-term investors, however, may find many predictive indicators less useful.
| Risk Adjusted Performance | 0.1257 | |||
| Jensen Alpha | 5.38 | |||
| Total Risk Alpha | (0.59) | |||
| Sortino Ratio | 0.1229 | |||
| Treynor Ratio | 1.92 |
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Complementary Tools for Cognetivity Pink Sheet analysis
When running Cognetivity Neurosciences' price analysis, check to measure Cognetivity Neurosciences' 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 Cognetivity Neurosciences is operating at the current time. Most of Cognetivity Neurosciences' value examination focuses on studying past and present price action to predict the probability of Cognetivity Neurosciences' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Cognetivity Neurosciences' price. Additionally, you may evaluate how the addition of Cognetivity Neurosciences to your portfolios can decrease your overall portfolio volatility.
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