Digipath Stock Market Value
DIGP Stock | USD 0.03 0 4.56% |
Symbol | Digipath |
Digipath '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 Digipath'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 Digipath.
05/10/2022 |
| 04/29/2024 |
If you would invest 0.00 in Digipath on May 10, 2022 and sell it all today you would earn a total of 0.00 from holding Digipath or generate 0.0% return on investment in Digipath over 720 days. Digipath is related to or competes with Shionogi, Pacira Pharmaceuticals, Lucy Scientific, Biofrontera, Shuttle Pharmaceuticals, Lifecore Biomedical, and Journey Medical. Digipath, Inc., together with its subsidiaries, provides cannabis and hemp lab testing services in Las Vegas to Nevada l... More
Digipath 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 Digipath'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 Digipath upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 13.54 | |||
Information Ratio | 0.1095 | |||
Maximum Drawdown | 136.5 | |||
Value At Risk | (21.28) | |||
Potential Upside | 47.8 |
Digipath Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Digipath's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Digipath's standard deviation. In reality, there are many statistical measures that can use Digipath historical prices to predict the future Digipath's volatility.Risk Adjusted Performance | 0.0808 | |||
Jensen Alpha | 1.82 | |||
Total Risk Alpha | (0.28) | |||
Sortino Ratio | 0.1652 | |||
Treynor Ratio | 0.3671 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Digipath'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.
Digipath Backtested Returns
Digipath is out of control given 3 months investment horizon. Digipath secures Sharpe Ratio (or Efficiency) of 0.0946, which denotes the company had a 0.0946% return per unit of risk over the last 3 months. We were able to analyze and collect data for twenty-nine different technical indicators, which can help you to evaluate if expected returns of 1.52% are justified by taking the suggested risk. Use Digipath Coefficient Of Variation of 877.87, downside deviation of 13.54, and Mean Deviation of 11.86 to evaluate company specific risk that cannot be diversified away. Digipath holds a performance score of 7 on a scale of zero to a hundred. The firm shows a Beta (market volatility) of 6.31, which means a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Digipath will likely underperform. Use Digipath jensen alpha and the relationship between the value at risk and day median price , to analyze future returns on Digipath.
Auto-correlation | -0.63 |
Very good reverse predictability
Digipath has very good reverse predictability. Overlapping area represents the amount of predictability between Digipath time series from 10th of May 2022 to 5th of May 2023 and 5th of May 2023 to 29th of April 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 Digipath price movement. The serial correlation of -0.63 indicates that roughly 63.0% of current Digipath price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.63 | |
Spearman Rank Test | -0.44 | |
Residual Average | 0.0 | |
Price Variance | 0.0 |
Digipath lagged returns against current returns
Autocorrelation, which is Digipath 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 Digipath's pink sheet expected returns. We can calculate the autocorrelation of Digipath returns to help us make a trade decision. For example, suppose you find that Digipath 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 |
Digipath 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 Digipath pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Digipath pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Digipath pink sheet over time.
Current vs Lagged Prices |
Timeline |
Digipath Lagged Returns
When evaluating Digipath's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Digipath pink sheet have on its future price. Digipath 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, Digipath autocorrelation shows the relationship between Digipath pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Digipath.
Regressed Prices |
Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Digipath in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Digipath's short interest history, or implied volatility extrapolated from Digipath options trading.
Pair Trading with Digipath
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 Digipath 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 Digipath will appreciate offsetting losses from the drop in the long position's value.Moving against Digipath Pink Sheet
0.55 | PTAIY | Astra International Tbk | PairCorr |
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0.43 | PIFMY | Indofood Sukses Makmur | PairCorr |
The ability to find closely correlated positions to Digipath could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Digipath 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 Digipath - 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 Digipath to buy it.
The correlation of Digipath 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 Digipath moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Digipath 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 Digipath 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 Digipath Correlation, Digipath Volatility and Digipath Alpha and Beta module to complement your research on Digipath. Note that the Digipath information on this page should be used as a complementary analysis to other Digipath's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Funds Screener module to find actively-traded funds from around the world traded on over 30 global exchanges.
Complementary Tools for Digipath Pink Sheet analysis
When running Digipath's price analysis, check to measure Digipath'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 Digipath is operating at the current time. Most of Digipath's value examination focuses on studying past and present price action to predict the probability of Digipath's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Digipath's price. Additionally, you may evaluate how the addition of Digipath to your portfolios can decrease your overall portfolio volatility.
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Digipath 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.