Nodechain Stock Market Value
| NODC Stock | USD 0.0005 0.00 0.00% |
| Symbol | Nodechain |
Nodechain '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 Nodechain'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 Nodechain.
| 01/20/2023 |
| 01/09/2025 |
If you would invest 0.00 in Nodechain on January 20, 2023 and sell it all today you would earn a total of 0.00 from holding Nodechain or generate 0.0% return on investment in Nodechain over 720 days. Nodechain is related to or competes with Donnelley Financial, Heritage Global, Houlihan Lokey, Oppenheimer Holdings, and Piper Sandler. Nodechain, Inc. engages in the digital cryptocurrency mining and transaction validation operations More
Nodechain 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 Nodechain'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 Nodechain upside and downside potential and time the market with a certain degree of confidence.
Nodechain Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Nodechain's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Nodechain's standard deviation. In reality, there are many statistical measures that can use Nodechain historical prices to predict the future Nodechain's volatility.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Nodechain'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.
Nodechain Backtested Returns
We have found three technical indicators for Nodechain, 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 Nodechain are completely uncorrelated.
Auto-correlation | 0.00 |
No correlation between past and present
Nodechain has no correlation between past and present. Overlapping area represents the amount of predictability between Nodechain time series from 20th of January 2023 to 15th of January 2024 and 15th of January 2024 to 9th of January 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 Nodechain price movement. The serial correlation of 0.0 indicates that just 0.0% of current Nodechain price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 1.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Nodechain lagged returns against current returns
Autocorrelation, which is Nodechain 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 Nodechain's pink sheet expected returns. We can calculate the autocorrelation of Nodechain returns to help us make a trade decision. For example, suppose you find that Nodechain 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 |
Nodechain 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 Nodechain pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Nodechain pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Nodechain pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Nodechain Lagged Returns
When evaluating Nodechain's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Nodechain pink sheet have on its future price. Nodechain 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, Nodechain autocorrelation shows the relationship between Nodechain pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Nodechain.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.| BTC | Bitcoin | |
| TRX | TRON | |
| BNB | Binance Coin |
Other Information on Investing in Nodechain Pink Sheet
Nodechain financial ratios help investors to determine whether Nodechain 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 Nodechain with respect to the benefits of owning Nodechain security.