Learning Tree International Stock Technical Analysis
| LTRE Stock | USD 0.76 0.00 0.00% |
As of the 22nd of January, Learning Tree secures the Risk Adjusted Performance of 0.1286, standard deviation of 18.63, and Mean Deviation of 6.32. In connection with fundamental indicators, the technical analysis model lets you check existing technical drivers of Learning Tree Intern, as well as the relationship between them. Please verify Learning Tree Intern market risk adjusted performance, total risk alpha, as well as the relationship between the Total Risk Alpha and kurtosis to decide if Learning Tree International is priced some-what accurately, providing market reflects its recent price of 0.76 per share. As Learning Tree Intern is a penny stock we also strongly advise to check its jensen alpha numbers.
Learning Tree Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Learning, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to LearningLearning |
Learning Tree '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 Learning Tree'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 Learning Tree.
| 10/24/2025 |
| 01/22/2026 |
If you would invest 0.00 in Learning Tree on October 24, 2025 and sell it all today you would earn a total of 0.00 from holding Learning Tree International or generate 0.0% return on investment in Learning Tree over 90 days. Learning Tree is related to or competes with Aspen, Birdie Win, Glucose Health, Cyanotech, and Skinvisible. Learning Tree International, Inc., together with its subsidiaries, develops, markets, and delivers a library of instruct... More
Learning Tree 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 Learning Tree'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 Learning Tree International upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.1556 | |||
| Maximum Drawdown | 162.86 | |||
| Potential Upside | 17.65 |
Learning Tree Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Learning Tree's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Learning Tree's standard deviation. In reality, there are many statistical measures that can use Learning Tree historical prices to predict the future Learning Tree's volatility.| Risk Adjusted Performance | 0.1286 | |||
| Jensen Alpha | 3.22 | |||
| Total Risk Alpha | 0.6212 | |||
| Treynor Ratio | (1.24) |
Learning Tree January 22, 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 | 0.1286 | |||
| Market Risk Adjusted Performance | (1.23) | |||
| Mean Deviation | 6.32 | |||
| Coefficient Of Variation | 620.34 | |||
| Standard Deviation | 18.63 | |||
| Variance | 347.26 | |||
| Information Ratio | 0.1556 | |||
| Jensen Alpha | 3.22 | |||
| Total Risk Alpha | 0.6212 | |||
| Treynor Ratio | (1.24) | |||
| Maximum Drawdown | 162.86 | |||
| Potential Upside | 17.65 | |||
| Skewness | 6.95 | |||
| Kurtosis | 52.36 |
Learning Tree Intern Backtested Returns
Learning Tree is out of control given 3 months investment horizon. Learning Tree Intern has Sharpe Ratio of 0.16, which conveys that the firm had a 0.16 % return per unit of risk over the last 3 months. We were able to interpolate data for eighteen different technical indicators, which can help you to evaluate if expected returns of 3.0% are justified by taking the suggested risk. Use Learning Tree Intern Standard Deviation of 18.63, mean deviation of 6.32, and Risk Adjusted Performance of 0.1286 to evaluate company specific risk that cannot be diversified away. Learning Tree holds a performance score of 12 on a scale of zero to a hundred. The company secures a Beta (Market Risk) of -2.41, which conveys a somewhat significant risk relative to the market. As returns on the market increase, returns on owning Learning Tree are expected to decrease by larger amounts. On the other hand, during market turmoil, Learning Tree is expected to outperform it. Use Learning Tree Intern market risk adjusted performance, information ratio, as well as the relationship between the Information Ratio and kurtosis , to analyze future returns on Learning Tree Intern.
Auto-correlation | 0.93 |
Excellent predictability
Learning Tree International has excellent predictability. Overlapping area represents the amount of predictability between Learning Tree time series from 24th of October 2025 to 8th of December 2025 and 8th of December 2025 to 22nd of January 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 Learning Tree Intern price movement. The serial correlation of 0.93 indicates that approximately 93.0% of current Learning Tree price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.93 | |
| Spearman Rank Test | 0.81 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Learning Tree 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.
Learning Tree Intern Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Learning Tree Intern volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Learning Tree 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 Learning Tree International 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 Learning Tree International based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Learning Tree Intern price pattern first instead of the macroeconomic environment surrounding Learning Tree Intern. By analyzing Learning Tree'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 Learning Tree'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 Learning Tree specific price patterns or momentum indicators. Please read more on our technical analysis page.
Learning Tree January 22, 2026 Technical Indicators
Most technical analysis of Learning 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 Learning from various momentum indicators to cycle indicators. When you analyze Learning 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 | 0.1286 | |||
| Market Risk Adjusted Performance | (1.23) | |||
| Mean Deviation | 6.32 | |||
| Coefficient Of Variation | 620.34 | |||
| Standard Deviation | 18.63 | |||
| Variance | 347.26 | |||
| Information Ratio | 0.1556 | |||
| Jensen Alpha | 3.22 | |||
| Total Risk Alpha | 0.6212 | |||
| Treynor Ratio | (1.24) | |||
| Maximum Drawdown | 162.86 | |||
| Potential Upside | 17.65 | |||
| Skewness | 6.95 | |||
| Kurtosis | 52.36 |
Learning Tree January 22, 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 Learning 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 | 0.00 | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 0.76 | ||
| Day Typical Price | 0.76 | ||
| Price Action Indicator | 0.00 |
Complementary Tools for Learning Pink Sheet analysis
When running Learning Tree's price analysis, check to measure Learning Tree'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 Learning Tree is operating at the current time. Most of Learning Tree's value examination focuses on studying past and present price action to predict the probability of Learning Tree's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Learning Tree's price. Additionally, you may evaluate how the addition of Learning Tree to your portfolios can decrease your overall portfolio volatility.
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