Labor Smart Stock Market Value
| LTNC Stock | USD 0.01 0 47.62% |
| Symbol | Labor |
Labor Smart '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 Labor Smart'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 Labor Smart.
| 02/24/2024 |
| 04/24/2024 |
If you would invest 0.00 in Labor Smart on February 24, 2024 and sell it all today you would earn a total of 0.00 from holding Labor Smart or generate 0.0% return on investment in Labor Smart over 60 days. Labor Smart, Inc. provides temporary blue-collar staffing services primarily in the United States More
Labor Smart 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 Labor Smart'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 Labor Smart upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 17.58 | |||
| Information Ratio | 0.1853 | |||
| Maximum Drawdown | 220.92 | |||
| Value At Risk | (27.59) | |||
| Potential Upside | 55.56 |
Labor Smart Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Labor Smart's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Labor Smart's standard deviation. In reality, there are many statistical measures that can use Labor Smart historical prices to predict the future Labor Smart's volatility.| Risk Adjusted Performance | 0.1272 | |||
| Jensen Alpha | 5.99 | |||
| Total Risk Alpha | 1.71 | |||
| Sortino Ratio | 0.3528 | |||
| Treynor Ratio | 1.83 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Labor Smart'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.
Labor Smart Backtested Returns
Labor Smart is out of control given 3 months investment horizon. Labor Smart has Sharpe Ratio of 0.18, which conveys that the firm had a 0.18% return per unit of risk over the last 3 months. We were able to interpolate twenty-nine different technical indicators, which can help you to evaluate if expected returns of 5.89% are justified by taking the suggested risk. Use Labor Smart Mean Deviation of 20.98, risk adjusted performance of 0.1272, and Downside Deviation of 17.58 to evaluate company specific risk that cannot be diversified away. Labor Smart holds a performance score of 13 on a scale of zero to a hundred. The company secures a Beta (Market Risk) of 3.44, which conveys 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, Labor Smart will likely underperform. Use Labor Smart potential upside, rate of daily change, and the relationship between the sortino ratio and skewness , to analyze future returns on Labor Smart.
Auto-correlation | -0.21 |
Weak reverse predictability
Labor Smart has weak reverse predictability. Overlapping area represents the amount of predictability between Labor Smart time series from 24th of February 2024 to 25th of March 2024 and 25th of March 2024 to 24th 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 Labor Smart price movement. The serial correlation of -0.21 indicates that over 21.0% of current Labor Smart price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.21 | |
| Spearman Rank Test | -0.04 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Labor Smart lagged returns against current returns
Autocorrelation, which is Labor Smart 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 Labor Smart's pink sheet expected returns. We can calculate the autocorrelation of Labor Smart returns to help us make a trade decision. For example, suppose you find that Labor Smart 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 |
Labor Smart 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 Labor Smart pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Labor Smart pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Labor Smart pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Labor Smart Lagged Returns
When evaluating Labor Smart's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Labor Smart pink sheet have on its future price. Labor Smart 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, Labor Smart autocorrelation shows the relationship between Labor Smart pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Labor Smart.
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 Labor Smart 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, Labor Smart's short interest history, or implied volatility extrapolated from Labor Smart options trading.
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Try AI Portfolio ArchitectCheck out Labor Smart Correlation, Labor Smart Volatility and Labor Smart Alpha and Beta module to complement your research on Labor Smart. You can also try the Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
Complementary Tools for Labor Pink Sheet analysis
When running Labor Smart's price analysis, check to measure Labor Smart'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 Labor Smart is operating at the current time. Most of Labor Smart's value examination focuses on studying past and present price action to predict the probability of Labor Smart's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Labor Smart's price. Additionally, you may evaluate how the addition of Labor Smart to your portfolios can decrease your overall portfolio volatility.
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Labor Smart 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.