Blue Line Protection Stock Market Value
BLPG Stock | USD 0.06 0.01 12.89% |
Symbol | Blue |
Blue Line '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 Blue Line'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 Blue Line.
10/30/2024 |
| 11/29/2024 |
If you would invest 0.00 in Blue Line on October 30, 2024 and sell it all today you would earn a total of 0.00 from holding Blue Line Protection or generate 0.0% return on investment in Blue Line over 30 days. Blue Line is related to or competes with Vow ASA, and TOMI Environmental. Blue Line Protection Group, Inc. provides armed protection and transportation, banking, compliance, and training service... More
Blue Line 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 Blue Line'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 Blue Line Protection upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.02) | |||
Maximum Drawdown | 42.49 | |||
Value At Risk | (17.96) | |||
Potential Upside | 20.0 |
Blue Line Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Blue Line's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Blue Line's standard deviation. In reality, there are many statistical measures that can use Blue Line historical prices to predict the future Blue Line's volatility.Risk Adjusted Performance | 0.0072 | |||
Jensen Alpha | (0.02) | |||
Total Risk Alpha | (1.48) | |||
Treynor Ratio | 0.3739 |
Blue Line Protection Backtested Returns
Blue Line Protection secures Sharpe Ratio (or Efficiency) of -0.0674, which signifies that the company had a -0.0674% return per unit of risk over the last 3 months. Blue Line Protection exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Blue Line's Mean Deviation of 6.11, standard deviation of 9.58, and Risk Adjusted Performance of 0.0072 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of -0.0944, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Blue Line are expected to decrease at a much lower rate. During the bear market, Blue Line is likely to outperform the market. At this point, Blue Line Protection has a negative expected return of -0.62%. Please make sure to confirm Blue Line's jensen alpha, skewness, as well as the relationship between the Skewness and day median price , to decide if Blue Line Protection performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.47 |
Modest reverse predictability
Blue Line Protection has modest reverse predictability. Overlapping area represents the amount of predictability between Blue Line time series from 30th of October 2024 to 14th of November 2024 and 14th of November 2024 to 29th of November 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 Blue Line Protection price movement. The serial correlation of -0.47 indicates that about 47.0% of current Blue Line price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.47 | |
Spearman Rank Test | -0.15 | |
Residual Average | 0.0 | |
Price Variance | 0.0 |
Blue Line Protection lagged returns against current returns
Autocorrelation, which is Blue Line 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 Blue Line's pink sheet expected returns. We can calculate the autocorrelation of Blue Line returns to help us make a trade decision. For example, suppose you find that Blue Line 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 |
Blue Line 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 Blue Line pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Blue Line pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Blue Line pink sheet over time.
Current vs Lagged Prices |
Timeline |
Blue Line Lagged Returns
When evaluating Blue Line's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Blue Line pink sheet have on its future price. Blue Line 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, Blue Line autocorrelation shows the relationship between Blue Line pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Blue Line Protection.
Regressed Prices |
Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Blue Pink Sheet
Blue Line financial ratios help investors to determine whether Blue 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 Blue with respect to the benefits of owning Blue Line security.