Thinkific Labs Stock Technical Analysis
| THNCF Stock | USD 1.50 0.02 1.35% |
As of the 3rd of February, Thinkific Labs has the Risk Adjusted Performance of 0.0355, semi deviation of 1.83, and Coefficient Of Variation of 2633.5. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Thinkific Labs, as well as the relationship between them. Please validate Thinkific Labs maximum drawdown, and the relationship between the information ratio and downside variance to decide if Thinkific Labs is priced more or less accurately, providing market reflects its prevalent price of 1.5 per share. Please also confirm Thinkific Labs total risk alpha, which is currently at (0.09) to double-check the company can sustain itself at a future point.
Thinkific Labs Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Thinkific, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to ThinkificThinkific |
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.
| 11/05/2025 |
| 02/03/2026 |
If you would invest 0.00 in Thinkific Labs on November 5, 2025 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 90 days. Thinkific Labs is related to or competes with Intermap Technologies, Mach7 Technologies, Blueone Card, WonderFi Technologies, Sylogist, NameSilo Technologies, and Appen. 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.
| Downside Deviation | 4.36 | |||
| Information Ratio | 0.0201 | |||
| Maximum Drawdown | 20.0 | |||
| Value At Risk | (4.64) | |||
| Potential Upside | 3.47 |
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 | 0.0355 | |||
| Jensen Alpha | 0.131 | |||
| Total Risk Alpha | (0.09) | |||
| Sortino Ratio | 0.0143 | |||
| Treynor Ratio | (0.22) |
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 February 3, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0355 | |||
| Market Risk Adjusted Performance | (0.21) | |||
| Mean Deviation | 1.37 | |||
| Semi Deviation | 1.83 | |||
| Downside Deviation | 4.36 | |||
| Coefficient Of Variation | 2633.5 | |||
| Standard Deviation | 3.11 | |||
| Variance | 9.69 | |||
| Information Ratio | 0.0201 | |||
| Jensen Alpha | 0.131 | |||
| Total Risk Alpha | (0.09) | |||
| Sortino Ratio | 0.0143 | |||
| Treynor Ratio | (0.22) | |||
| Maximum Drawdown | 20.0 | |||
| Value At Risk | (4.64) | |||
| Potential Upside | 3.47 | |||
| Downside Variance | 19.02 | |||
| Semi Variance | 3.34 | |||
| Expected Short fall | (4.64) | |||
| Skewness | 2.26 | |||
| Kurtosis | 11.3 |
Thinkific Labs Backtested Returns
Thinkific Labs owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0314, which indicates the firm had a -0.0314 % return per unit of risk over the last 3 months. Thinkific Labs exposes twenty-eight different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Thinkific Labs' Risk Adjusted Performance of 0.0355, semi deviation of 1.83, and Coefficient Of Variation of 2633.5 to confirm the risk estimate we provide. The entity has a beta of -0.5, which indicates possible diversification benefits within a given portfolio. 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. At this point, Thinkific Labs has a negative expected return of -0.0828%. Please make sure to validate Thinkific Labs' downside variance, rate of daily change, and the relationship between the maximum drawdown and skewness , to decide if Thinkific Labs performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.9 |
Excellent reverse predictability
Thinkific Labs has excellent reverse predictability. Overlapping area represents the amount of predictability between Thinkific Labs time series from 5th of November 2025 to 20th of December 2025 and 20th of December 2025 to 3rd of February 2026. 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 -0.9 indicates that approximately 90.0% of current Thinkific Labs price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.9 | |
| Spearman Rank Test | -0.71 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Thinkific Labs 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.
Thinkific Labs Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. The Normalized Average True Range is used to analyze tradable apportunities for Thinkific Labs across different markets.
About Thinkific Labs Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Thinkific Labs on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Thinkific Labs based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Thinkific Labs price pattern first instead of the macroeconomic environment surrounding Thinkific Labs. By analyzing Thinkific Labs's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Thinkific Labs's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Thinkific Labs specific price patterns or momentum indicators. Please read more on our technical analysis page.
Thinkific Labs February 3, 2026 Technical Indicators
Most technical analysis of Thinkific help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Thinkific from various momentum indicators to cycle indicators. When you analyze Thinkific charts, please remember that the event formation may indicate an entry point for a short seller, and look at different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0355 | |||
| Market Risk Adjusted Performance | (0.21) | |||
| Mean Deviation | 1.37 | |||
| Semi Deviation | 1.83 | |||
| Downside Deviation | 4.36 | |||
| Coefficient Of Variation | 2633.5 | |||
| Standard Deviation | 3.11 | |||
| Variance | 9.69 | |||
| Information Ratio | 0.0201 | |||
| Jensen Alpha | 0.131 | |||
| Total Risk Alpha | (0.09) | |||
| Sortino Ratio | 0.0143 | |||
| Treynor Ratio | (0.22) | |||
| Maximum Drawdown | 20.0 | |||
| Value At Risk | (4.64) | |||
| Potential Upside | 3.47 | |||
| Downside Variance | 19.02 | |||
| Semi Variance | 3.34 | |||
| Expected Short fall | (4.64) | |||
| Skewness | 2.26 | |||
| Kurtosis | 11.3 |
Thinkific Labs February 3, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Thinkific stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 0.00 | ||
| Daily Balance Of Power | Huge | ||
| Rate Of Daily Change | 1.01 | ||
| Day Median Price | 1.50 | ||
| Day Typical Price | 1.50 | ||
| Price Action Indicator | 0.01 |
Complementary Tools for Thinkific Pink Sheet analysis
When running Thinkific Labs' price analysis, check to measure Thinkific Labs' 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 Thinkific Labs is operating at the current time. Most of Thinkific Labs' value examination focuses on studying past and present price action to predict the probability of Thinkific Labs' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Thinkific Labs' price. Additionally, you may evaluate how the addition of Thinkific Labs to your portfolios can decrease your overall portfolio volatility.
| Companies Directory Evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals | |
| Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios | |
| Top Crypto Exchanges Search and analyze digital assets across top global cryptocurrency exchanges | |
| Pair Correlation Compare performance and examine fundamental relationship between any two equity instruments | |
| Portfolio Comparator Compare the composition, asset allocations and performance of any two portfolios in your account | |
| Sectors List of equity sectors categorizing publicly traded companies based on their primary business activities | |
| Instant Ratings Determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
| Positions Ratings Determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
| Portfolio Center All portfolio management and optimization tools to improve performance of your portfolios |