Learning Tree International Stock Market Value

LTRE Stock  USD 0.75  0.05  6.25%   
Learning Tree's market value is the price at which a share of Learning Tree trades on a public exchange. It measures the collective expectations of Learning Tree International investors about its performance. Learning Tree is trading at 0.75 as of the 29th of December 2025, a 6.25 percent decrease since the beginning of the trading day. The stock's lowest day price was 0.75.
With this module, you can estimate the performance of a buy and hold strategy of Learning Tree International and determine expected loss or profit from investing in Learning Tree over a given investment horizon. Check out Learning Tree Correlation, Learning Tree Volatility and Learning Tree Alpha and Beta module to complement your research on Learning Tree.
Symbol

Please note, there is a significant difference between Learning Tree's value and its price as these two are different measures arrived at by different means. Investors typically determine if Learning Tree is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Learning Tree's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.

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.
0.00
11/29/2025
No Change 0.00  0.0 
In 30 days
12/29/2025
0.00
If you would invest  0.00  in Learning Tree on November 29, 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 30 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.

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.
Hype
Prediction
LowEstimatedHigh
0.040.7519.25
Details
Intrinsic
Valuation
LowRealHigh
0.030.6319.13
Details
Naive
Forecast
LowNextHigh
0.020.8319.32
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
0.520.680.84
Details

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 twenty-one different technical indicators, which can help you to evaluate if expected returns of 2.94% are justified by taking the suggested risk. Use Learning Tree Intern Mean Deviation of 6.24, risk adjusted performance of 0.0925, and Standard Deviation of 19.16 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 0.59, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, Learning Tree's returns are expected to increase less than the market. However, during the bear market, the loss of holding Learning Tree is expected to be smaller as well. Use Learning Tree Intern information ratio, as well as the relationship between the kurtosis and price action indicator , to analyze future returns on Learning Tree Intern.

Auto-correlation

    
  0.33  

Below average predictability

Learning Tree International has below average predictability. Overlapping area represents the amount of predictability between Learning Tree time series from 29th of November 2025 to 14th of December 2025 and 14th of December 2025 to 29th of December 2025. 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 0.33 indicates that nearly 33.0% of current Learning Tree price fluctuation can be explain by its past prices.
Correlation Coefficient0.33
Spearman Rank Test0.75
Residual Average0.0
Price Variance0.0

Learning Tree Intern lagged returns against current returns

Autocorrelation, which is Learning Tree 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 Learning Tree's pink sheet expected returns. We can calculate the autocorrelation of Learning Tree returns to help us make a trade decision. For example, suppose you find that Learning Tree 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  

Learning Tree 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 Learning Tree pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Learning Tree pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Learning Tree pink sheet over time.
   Current vs Lagged Prices   
       Timeline  

Learning Tree Lagged Returns

When evaluating Learning Tree's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Learning Tree pink sheet have on its future price. Learning Tree 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, Learning Tree autocorrelation shows the relationship between Learning Tree pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Learning Tree International.
   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.

Other Information on Investing in Learning Pink Sheet

Learning Tree financial ratios help investors to determine whether Learning 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 Learning with respect to the benefits of owning Learning Tree security.