Farmers Bancorp Stock Price History

Farmers Bancorp Pink Sheet Price History Chart

Farmers Bancorp February 26, 2025 Pink Sheet Price Synopsis

Various analyses of Farmers Bancorp's daily price changes, such as its Balance Of Power or Price Action, are crucial when deciding whether to buy, hold, or sell Farmers Pink Sheet. It can be used to describe the percentage change in the price of Farmers Bancorp from one trading day to the next and could be a valuable metric for traders and investors to gauge the volatility and momentum of Farmers Pink Sheet. When benchmark price declines in a down market, there may be an uptick in Farmers Stock price where buyers come in believing the asset is cheap or selling overdone. The opposite is true when the market is bullish. You can use Farmers Bancorp intraday prices and daily technical indicators to check the level of noise trading in Farmers Stock and then apply it to test your longer-term investment strategies against Farmers.

Farmers Pink Sheet Price History Data

The price series of Farmers Bancorp for the period between Thu, Nov 28, 2024 and Wed, Feb 26, 2025 has a statistical range of 6.27 with a coefficient of variation of 5.65. Under current investment horizon, the daily prices are spread out with arithmetic mean of 34.69. The median price for the last 90 days is 35.13. The company completed 2:1 stock split on 12th of April 2017. Farmers Bancorp completed dividends distribution on 2023-01-30.

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

Farmers Bancorp technical pink sheet 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, pink sheet market cycles, or different charting patterns.

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