Can Fite Biopharma Stock Price on September 10, 2024

Can Fite Valuation on September 10, 2024

Can Fite Trading Date Momentum on September 10, 2024

On September 11 2024 Can Fite Biopharma was traded for  2.30  at the closing time. The top price for the day was 2.37  and the lowest listed price was  2.20 . The trading volume for the day was 110.5 K. The trading history from September 11, 2024 was a factor to the next trading day price decrease. The overall trading delta against the next closing price was 1.29% . The overall trading delta against the current closing price is 12.02% .

Can Fite Biopharma Fundamentals Correlations and Trends

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

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

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

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