Leggett Platt (Germany) Price on December 13, 2024

Leggett Platt Valuation on December 13, 2024

Leggett Platt Trading Date Momentum on December 13, 2024

On December 13 2024 Leggett Platt Incorporated was traded for  10.86  at the closing time. The highest daily price throughout the period was 10.86  and the lowest price was  10.82 . The daily volume was 320. The net trading volume on 12/13/2024 did not cause price change. The trading delta at closing time to current closing price is 0.37% .

Leggett Platt Fundamentals Correlations and Trends

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

Leggett Platt 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 Leggett is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in Leggett Platt 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 Leggett Platt stock prices may prove useful in developing a viable investing in Leggett Platt

Leggett Platt 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.

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

Predictive indicators are helping investors to find signals for Leggett Platt's price direction in advance. Along with the technical and fundamental analysis of Leggett Stock historical price patterns, it is also worthwhile for investors to track various predictive indicators of Leggett 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.

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