On December 22 2024 Farmers Bancorp was traded for 38.48 at the closing time. The top price for the day was 38.48 and the lowest listed price was 38.48 . There was no trading activity during the period 0.0. Lack of trading volume on December 22, 2024 did not affect price variability. The overall trading delta against the current closing price is 0.00% .
For every potential investor in Farmers, whether a beginner or expert, Farmers Bancorp's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Farmers Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Farmers. Basic forecasting techniques help filter out the noise by identifying Farmers Bancorp's price trends.
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Farmers Bancorp pink sheet to make a market-neutral strategy. Peer analysis of Farmers Bancorp could also be used in its relative valuation, which is a method of valuing Farmers Bancorp by comparing valuation metrics with similar companies.
Farmers Bancorp Technical and Predictive Analytics
The pink sheet market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Farmers Bancorp's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Farmers Bancorp's current price.
Market strength indicators help investors to evaluate how Farmers Bancorp pink sheet reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Farmers Bancorp shares will generate the highest return on investment. By undertsting and applying Farmers Bancorp pink sheet market strength indicators, traders can identify Farmers Bancorp entry and exit signals to maximize returns.
The analysis of Farmers Bancorp's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Farmers Bancorp's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting farmers pink sheet prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
Pair Trading with Farmers Bancorp
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Farmers Bancorp position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Farmers Bancorp will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to Farmers Bancorp could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Farmers Bancorp when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Farmers Bancorp - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Farmers Bancorp to buy it.
The correlation of Farmers Bancorp is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Farmers Bancorp moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Farmers Bancorp moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Farmers Bancorp can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
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.