Bains Mer (France) Price on October 15, 2024

Bains Mer Valuation on October 15, 2024

Bains Mer Trading Date Momentum on October 15, 2024

On October 16 2024 Bains Mer Monaco was traded for  107.00  at the closing time. The highest price during the trading period was 108.50  and the lowest recorded bid was listed for  105.50 . The volume for the day was 198. This history from October 16, 2024 contributed to the next trading day price decline. The overall trading delta to the next closing price was 0.93% . The overall trading delta to the current price is 0.93% .

Bains Mer Monaco Fundamentals Correlations and Trends

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

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

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

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