Nano One Materials Stock Market Value
NNOMF Stock | USD 0.45 0.05 12.50% |
Symbol | Nano |
Nano One '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 Nano One'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 Nano One.
12/15/2024 |
| 03/15/2025 |
If you would invest 0.00 in Nano One on December 15, 2024 and sell it all today you would earn a total of 0.00 from holding Nano One Materials or generate 0.0% return on investment in Nano One over 90 days. Nano One is related to or competes with G6 Materials, Orica, Johnson Matthey, Flexible Solutions, Graphene Manufacturing, Iofina Plc, and Gevo. Nano One Materials Corp. produces cathode active materials for lithium-ion battery applications in electric vehicles, en... More
Nano One 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 Nano One'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 Nano One Materials upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.08) | |||
Maximum Drawdown | 17.22 | |||
Value At Risk | (5.45) | |||
Potential Upside | 7.14 |
Nano One Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Nano One's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Nano One's standard deviation. In reality, there are many statistical measures that can use Nano One historical prices to predict the future Nano One's volatility.Risk Adjusted Performance | (0.09) | |||
Jensen Alpha | (0.42) | |||
Total Risk Alpha | 0.0582 | |||
Treynor Ratio | (4.41) |
Nano One Materials Backtested Returns
Nano One Materials has Sharpe Ratio of -0.11, which conveys that the firm had a -0.11 % return per unit of risk over the last 3 months. Nano One exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify Nano One's Standard Deviation of 3.92, mean deviation of 2.86, and Risk Adjusted Performance of (0.09) to check out the risk estimate we provide. The company secures a Beta (Market Risk) of 0.0982, which conveys not very significant fluctuations relative to the market. As returns on the market increase, Nano One's returns are expected to increase less than the market. However, during the bear market, the loss of holding Nano One is expected to be smaller as well. At this point, Nano One Materials has a negative expected return of -0.42%. Please make sure to verify Nano One's potential upside, as well as the relationship between the daily balance of power and market facilitation index , to decide if Nano One Materials performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.60 |
Good predictability
Nano One Materials has good predictability. Overlapping area represents the amount of predictability between Nano One time series from 15th of December 2024 to 29th of January 2025 and 29th of January 2025 to 15th of March 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Nano One Materials price movement. The serial correlation of 0.6 indicates that roughly 60.0% of current Nano One price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.6 | |
Spearman Rank Test | 0.49 | |
Residual Average | 0.0 | |
Price Variance | 0.0 |
Nano One Materials lagged returns against current returns
Autocorrelation, which is Nano One pink sheet'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 Nano One's pink sheet expected returns. We can calculate the autocorrelation of Nano One returns to help us make a trade decision. For example, suppose you find that Nano One has exhibited high autocorrelation historically, and you observe that the pink sheet 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 |
Nano One 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 Nano One pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Nano One pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Nano One pink sheet over time.
Current vs Lagged Prices |
Timeline |
Nano One Lagged Returns
When evaluating Nano One's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Nano One pink sheet have on its future price. Nano One 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, Nano One autocorrelation shows the relationship between Nano One pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Nano One Materials.
Regressed Prices |
Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Nano Pink Sheet
Nano One financial ratios help investors to determine whether Nano Pink Sheet is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Nano with respect to the benefits of owning Nano One security.