Thinkific Labs Stock Market Value
| THNCF Stock | USD 2.21 0.07 3.27% |
| Symbol | Thinkific |
Thinkific Labs '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 Thinkific Labs' 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 Thinkific Labs.
| 06/03/2024 |
| 11/30/2024 |
If you would invest 0.00 in Thinkific Labs on June 3, 2024 and sell it all today you would earn a total of 0.00 from holding Thinkific Labs or generate 0.0% return on investment in Thinkific Labs over 180 days. Thinkific Labs is related to or competes with Waldencast Acquisition, Alkami Technology, ADEIA P, Paycor HCM, Bentley Systems, Appfolio, and Workiva. Thinkific Labs Inc. develops, markets, and supports cloud-based platform in Canada, the United States, and international... More
Thinkific Labs 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 Thinkific Labs' 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 Thinkific Labs upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.04) | |||
| Maximum Drawdown | 19.31 | |||
| Value At Risk | (1.02) |
Thinkific Labs Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Thinkific Labs' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Thinkific Labs' standard deviation. In reality, there are many statistical measures that can use Thinkific Labs historical prices to predict the future Thinkific Labs' volatility.| Risk Adjusted Performance | 0.0135 | |||
| Jensen Alpha | 0.0185 | |||
| Total Risk Alpha | (0.45) | |||
| Treynor Ratio | (0.27) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Thinkific Labs' 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.
Thinkific Labs Backtested Returns
At this point, Thinkific Labs is risky. Thinkific Labs owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0084, which indicates the firm had a 0.0084% return per unit of risk over the last 3 months. We have found twenty-one technical indicators for Thinkific Labs, which you can use to evaluate the volatility of the company. Please validate Thinkific Labs' Variance of 7.56, risk adjusted performance of 0.0135, and Coefficient Of Variation of 12144.05 to confirm if the risk estimate we provide is consistent with the expected return of 0.0233%. The entity has a beta of -0.0463, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Thinkific Labs are expected to decrease at a much lower rate. During the bear market, Thinkific Labs is likely to outperform the market. Thinkific Labs right now has a risk of 2.79%. Please validate Thinkific Labs kurtosis, and the relationship between the total risk alpha and day median price , to decide if Thinkific Labs will be following its existing price patterns.
Auto-correlation | -0.09 |
Very weak reverse predictability
Thinkific Labs has very weak reverse predictability. Overlapping area represents the amount of predictability between Thinkific Labs time series from 3rd of June 2024 to 1st of September 2024 and 1st of September 2024 to 30th 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 Thinkific Labs price movement. The serial correlation of -0.09 indicates that less than 9.0% of current Thinkific Labs price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.09 | |
| Spearman Rank Test | 0.06 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
Thinkific Labs lagged returns against current returns
Autocorrelation, which is Thinkific Labs 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 Thinkific Labs' pink sheet expected returns. We can calculate the autocorrelation of Thinkific Labs returns to help us make a trade decision. For example, suppose you find that Thinkific Labs 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 |
Thinkific Labs 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 Thinkific Labs pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Thinkific Labs pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Thinkific Labs pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Thinkific Labs Lagged Returns
When evaluating Thinkific Labs' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Thinkific Labs pink sheet have on its future price. Thinkific Labs 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, Thinkific Labs autocorrelation shows the relationship between Thinkific Labs pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Thinkific Labs.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Thinkific Pink Sheet
Thinkific Labs financial ratios help investors to determine whether Thinkific 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 Thinkific with respect to the benefits of owning Thinkific Labs security.