Lam Research (Germany) Price on February 11, 2024

Lam Research Valuation on February 11, 2024

Lam Research Trading Date Momentum on February 11, 2024

On February 12 2024 Lam Research was traded for  83.64  at the closing time. The highest daily price throughout the period was 84.74  and the lowest price was  83.21 . The daily volume was 100.0. The net trading volume on 02/12/2024 added to the next day price rise. The trading delta at closing time to closing price of the next trading day was 3.43% . The trading delta at closing time to current closing price is 5.76% .

Lam Research Fundamentals Correlations and Trends

By evaluating Lam Research'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 Lam Research's main balance sheet or income statement drivers and many other relevant indicators that can statistically be found significantly correlated or uncorrelated. Lam financial account trend analysis is a perfect complement when working with valuation or volatility modules.

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

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

Predictive indicators are helping investors to find signals for Lam Research's price direction in advance. Along with the technical and fundamental analysis of Lam Stock historical price patterns, it is also worthwhile for investors to track various predictive indicators of Lam 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 Lam Research's price analysis, check to measure Lam Research'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 Lam Research is operating at the current time. Most of Lam Research's value examination focuses on studying past and present price action to predict the probability of Lam Research's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Lam Research's price. Additionally, you may evaluate how the addition of Lam Research to your portfolios can decrease your overall portfolio volatility.