Litium AB (Sweden) Price on January 30, 2023

Litium AB Valuation on January 30, 2023

Litium AB Trading Date Momentum on January 30, 2023

On January 31 2023 Litium AB was traded for  11.35  at the closing time. The highest price during the trading period was 11.35  and the lowest recorded bid was listed for  10.85 . The volume for the day was 4.1 K. This history from January 31, 2023 contributed to the next trading day price appreciation. The trading delta at closing time to the next closing price was 0.89% . The trading delta at closing time to the current price is 5.78% .

Litium AB Fundamentals Correlations and Trends

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

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

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

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