Codebase Ventures Stock Market Value
| BKLLF Stock | USD 0.08 0.00 0.00% |
| Symbol | Codebase |
Codebase Ventures '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 Codebase Ventures' 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 Codebase Ventures.
| 05/16/2022 |
| 05/05/2024 |
If you would invest 0.00 in Codebase Ventures on May 16, 2022 and sell it all today you would earn a total of 0.00 from holding Codebase Ventures or generate 0.0% return on investment in Codebase Ventures over 720 days. Codebase Ventures is related to or competes with Bitwise 10. Cypher Metaverse Inc., together with its subsidiaries, engages in bitcoin mining business More
Codebase Ventures 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 Codebase Ventures' 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 Codebase Ventures upside and downside potential and time the market with a certain degree of confidence.
Codebase Ventures Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Codebase Ventures' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Codebase Ventures' standard deviation. In reality, there are many statistical measures that can use Codebase Ventures historical prices to predict the future Codebase Ventures' volatility.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Codebase Ventures' 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.
Codebase Ventures Backtested Returns
We have found three technical indicators for Codebase Ventures, which you can use to evaluate the volatility of the firm. The firm shows a Beta (market volatility) of 0.0, which signifies not very significant fluctuations relative to the market. the returns on MARKET and Codebase Ventures are completely uncorrelated.
Auto-correlation | 0.00 |
No correlation between past and present
Codebase Ventures has no correlation between past and present. Overlapping area represents the amount of predictability between Codebase Ventures time series from 16th of May 2022 to 11th of May 2023 and 11th of May 2023 to 5th of May 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Codebase Ventures price movement. The serial correlation of 0.0 indicates that just 0.0% of current Codebase Ventures price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | -0.9 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Codebase Ventures lagged returns against current returns
Autocorrelation, which is Codebase Ventures 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 Codebase Ventures' pink sheet expected returns. We can calculate the autocorrelation of Codebase Ventures returns to help us make a trade decision. For example, suppose you find that Codebase Ventures 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 |
Codebase Ventures 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 Codebase Ventures pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Codebase Ventures pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Codebase Ventures pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Codebase Ventures Lagged Returns
When evaluating Codebase Ventures' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Codebase Ventures pink sheet have on its future price. Codebase Ventures 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, Codebase Ventures autocorrelation shows the relationship between Codebase Ventures pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Codebase Ventures.
Regressed Prices |
| Timeline |
Pair Trading with Codebase Ventures
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Codebase Ventures position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Codebase Ventures will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Codebase Ventures could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Codebase Ventures when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Codebase Ventures - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Codebase Ventures to buy it.
The correlation of Codebase Ventures is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Codebase Ventures moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Codebase Ventures moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Codebase Ventures can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Codebase Ventures Correlation, Codebase Ventures Volatility and Codebase Ventures Alpha and Beta module to complement your research on Codebase Ventures. You can also try the Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.
Complementary Tools for Codebase Pink Sheet analysis
When running Codebase Ventures' price analysis, check to measure Codebase Ventures' 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 Codebase Ventures is operating at the current time. Most of Codebase Ventures' value examination focuses on studying past and present price action to predict the probability of Codebase Ventures' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Codebase Ventures' price. Additionally, you may evaluate how the addition of Codebase Ventures to your portfolios can decrease your overall portfolio volatility.
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Codebase Ventures 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.