Hf Foods Group Stock Price on November 11, 2024

Hf Foods Valuation on November 11, 2024

Hf Foods Trading Date Momentum on November 11, 2024

On November 12 2024 Hf Foods Group was traded for  3.47  at the closing time. The top price for the day was 3.58  and the lowest listed price was  3.45 . The trading volume for the day was 53.2 K. The trading history from November 12, 2024 was a factor to the next trading day price decrease. The trading delta at closing time against the next closing price was 0.86% . The trading delta at closing time against the current closing price is 1.71% .

Hf Foods Group Fundamentals Correlations and Trends

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

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

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

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