Learning Technologies (UK) Price on March 9, 2023

LTG Stock   97.60  0.30  0.31%   
If you're considering investing in Learning Stock, it is important to understand the factors that can impact its price. As of today, the current price of Learning Technologies stands at 97.60, as last reported on the 10th of January, with the highest price reaching 98.00 and the lowest price hitting 97.40 during the day. At this point, Learning Technologies is very steady. Learning Technologies has Sharpe Ratio of 0.0687, which conveys that the firm had a 0.0687% return per unit of risk over the last 3 months. We have found thirty technical indicators for Learning Technologies, which you can use to evaluate the volatility of the firm. Please verify Learning Technologies' Risk Adjusted Performance of 0.0587, downside deviation of 1.02, and Mean Deviation of 0.8029 to check out if the risk estimate we provide is consistent with the expected return of 0.0912%.
  
Learning Stock price history is provided at the adjusted basis, taking into account all of the recent filings.

Sharpe Ratio = 0.0687

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Estimated Market Risk

 1.33
  actual daily
11
89% of assets are more volatile

Expected Return

 0.09
  actual daily
1
99% of assets have higher returns

Risk-Adjusted Return

 0.07
  actual daily
5
95% of assets perform better
Based on monthly moving average Learning Technologies is performing at about 5% of its full potential. If added to a well diversified portfolio the total return can be enhanced and market risk can be reduced. You can increase risk-adjusted return of Learning Technologies by adding it to a well-diversified portfolio.

Learning Technologies Valuation on March 9, 2023

It is possible to determine the worth of Learning Technologies on a given historical date. On March 9, 2023 Learning was worth 132.11 at the beginning of the trading date compared to the closed value of 132.77. We use multiple weighted factors in our valuation methodologies to arrive at the intrinsic value of Learning Technologies stock. Still, in general, we apply an absolute valuation method to find Learning Technologies' value based on its fundamental and technical indicators available within our service. As compared to an absolute model, our relative valuation model uses a comparative analysis of Learning Technologies where we calculate exposure to its market risk and evaluate relevant financial multiples and ratios against Learning Technologies' related companies.
 Open High Low Close Volume
  132.77    134.48    127.84    132.77    2,127,933  
03/09/2023
  132.11    136.88    130.87    132.77    1,393,002  
  128.31    131.92    125.18    129.83    707,188  
Backtest Learning Technologies  |  Learning Technologies History  |  Learning Technologies Valuation   PreviousNext  
Open Value
132.11
128.13
Downside
132.77
Closing Value
136.09
Upside

Learning Technologies Trading Date Momentum on March 9, 2023

On March 10 2023 Learning Technologies Group was traded for  129.83  at the closing time. The highest price during the trading period was 131.92  and the lowest recorded bid was listed for  125.18 . The volume for the day was 707.2 K. This history from March 10, 2023 contributed to the next trading day price decline. The trading delta at closing time to the next closing price was 2.21% . The trading delta at closing time to the current price is 12.71% .

Learning Technologies Fundamentals Correlations and Trends

By evaluating Learning Technologies' financials over time, investors can gain insight into future company performance. However, you can also analyze the published financial statements to find patterns among Learning Technologies' main balance sheet or income statement drivers and many other relevant indicators that can statistically be found significantly correlated or uncorrelated. Learning financial account trend analysis is a perfect complement when working with valuation or volatility modules.

About Learning Technologies Stock history

Learning Technologies investors dedicate a lot of time and effort to gaining insight into how a market's past behavior relates to its future. Access to timely market data for Learning is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in Learning Technologies will depend on recognizing future opportunities and eliminating past mistakes. Historical data analysis is the study of market behavior over a given time. Recorded market-related data such as price, volatility, and volume can be quantified and studied over a defined period. Through a detailed examination of a market's past behavior, traders and investors can gain perspective on the inner workings of that market. The information obtained throughout analyzing Learning Technologies stock prices may prove useful in developing a viable investing in Learning Technologies

Learning Technologies Stock Technical Analysis

Learning Technologies technical stock 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, stock market cycles, or different charting patterns.
A focus of Learning Technologies technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Learning Technologies trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...

Price Boundaries

Learning Technologies Period Price Range

Low
January 10, 2025
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High

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Learning Technologies Group cannot be verified against its exchange. Please verify the symbol is currently traded on London Exchange. If you still believe the symbol you are trying to look up is valid, please let us know, and we will check it as soon as possible.

Learning Technologies January 10, 2025 Market Strength

Market strength indicators help investors to evaluate how Learning Technologies stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Learning Technologies shares will generate the highest return on investment. By undertsting and applying Learning Technologies stock market strength indicators, traders can identify Learning Technologies Group entry and exit signals to maximize returns

Learning Technologies Technical and Predictive Indicators

Predictive indicators are helping investors to find signals for Learning Technologies' price direction in advance. Along with the technical and fundamental analysis of Learning Stock historical price patterns, it is also worthwhile for investors to track various predictive indicators of Learning to make sure they correctly time the market and exploit it's hidden potentials. Even though most predictive indicators are useful for the short-term horizon, it's virtually impossible to predict the unforeseen market. For traders with a short-term horizon, predictive indicators add value when properly applied. Long-term investors, however, may find many predictive indicators less useful.

Complementary Tools for Learning Stock analysis

When running Learning Technologies' price analysis, check to measure Learning 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 Learning Technologies is operating at the current time. Most of Learning Technologies' value examination focuses on studying past and present price action to predict the probability of Learning Technologies' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Learning Technologies' price. Additionally, you may evaluate how the addition of Learning Technologies to your portfolios can decrease your overall portfolio volatility.
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