Leafbuyer Technologies Stock Market Value
| LBUY Stock | USD 0.01 0 8.33% |
| Symbol | Leafbuyer |
Leafbuyer Technologies '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 Leafbuyer Technologies' 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 Leafbuyer Technologies.
| 10/28/2024 |
| 11/27/2024 |
If you would invest 0.00 in Leafbuyer Technologies on October 28, 2024 and sell it all today you would earn a total of 0.00 from holding Leafbuyer Technologies or generate 0.0% return on investment in Leafbuyer Technologies over 30 days. Leafbuyer Technologies is related to or competes with Meta Platforms, Alphabet, Twilio, Snap, and Baidu. Leafbuyer Technologies, Inc., through its subsidiary, LB Media Group, LLC, provides online resources for cannabis deals ... More
Leafbuyer Technologies 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 Leafbuyer Technologies' 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 Leafbuyer Technologies upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 47.63 | |||
| Information Ratio | 0.207 | |||
| Maximum Drawdown | 1393.33 | |||
| Value At Risk | (50.00) | |||
| Potential Upside | 100.0 |
Leafbuyer Technologies Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Leafbuyer Technologies' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Leafbuyer Technologies' standard deviation. In reality, there are many statistical measures that can use Leafbuyer Technologies historical prices to predict the future Leafbuyer Technologies' volatility.| Risk Adjusted Performance | 0.1687 | |||
| Jensen Alpha | 43.95 | |||
| Total Risk Alpha | 10.06 | |||
| Sortino Ratio | 0.8728 | |||
| Treynor Ratio | (2.22) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Leafbuyer Technologies' 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.
Leafbuyer Technologies Backtested Returns
Leafbuyer Technologies is out of control given 3 months investment horizon. Leafbuyer Technologies has Sharpe Ratio of 0.22, which conveys that the firm had a 0.22% return per unit of risk over the last 3 months. We are able to break down and analyze data for twenty-eight different technical indicators, which can help you to evaluate if expected returns of 38.32% are justified by taking the suggested risk. Use Leafbuyer Technologies Downside Deviation of 47.63, mean deviation of 81.18, and Risk Adjusted Performance of 0.1687 to evaluate company specific risk that cannot be diversified away. Leafbuyer Technologies holds a performance score of 17 on a scale of zero to a hundred. The company secures a Beta (Market Risk) of -18.75, which conveys a somewhat significant risk relative to the market. As returns on the market increase, returns on owning Leafbuyer Technologies are expected to decrease by larger amounts. On the other hand, during market turmoil, Leafbuyer Technologies is expected to outperform it. Use Leafbuyer Technologies jensen alpha and the relationship between the potential upside and relative strength index , to analyze future returns on Leafbuyer Technologies.
Auto-correlation | -0.6 |
Good reverse predictability
Leafbuyer Technologies has good reverse predictability. Overlapping area represents the amount of predictability between Leafbuyer Technologies time series from 28th of October 2024 to 12th of November 2024 and 12th of November 2024 to 27th 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 Leafbuyer Technologies price movement. The serial correlation of -0.6 indicates that roughly 60.0% of current Leafbuyer Technologies price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.6 | |
| Spearman Rank Test | -0.48 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Leafbuyer Technologies lagged returns against current returns
Autocorrelation, which is Leafbuyer Technologies 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 Leafbuyer Technologies' pink sheet expected returns. We can calculate the autocorrelation of Leafbuyer Technologies returns to help us make a trade decision. For example, suppose you find that Leafbuyer Technologies 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 |
Leafbuyer Technologies 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 Leafbuyer Technologies pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Leafbuyer Technologies pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Leafbuyer Technologies pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Leafbuyer Technologies Lagged Returns
When evaluating Leafbuyer Technologies' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Leafbuyer Technologies pink sheet have on its future price. Leafbuyer Technologies 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, Leafbuyer Technologies autocorrelation shows the relationship between Leafbuyer Technologies pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Leafbuyer Technologies.
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.Additional Tools for Leafbuyer Pink Sheet Analysis
When running Leafbuyer Technologies' price analysis, check to measure Leafbuyer Technologies' 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 Leafbuyer Technologies is operating at the current time. Most of Leafbuyer Technologies' value examination focuses on studying past and present price action to predict the probability of Leafbuyer Technologies' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Leafbuyer Technologies' price. Additionally, you may evaluate how the addition of Leafbuyer Technologies to your portfolios can decrease your overall portfolio volatility.