Farmhouse Stock Market Value
| FMHS Stock | USD 0.16 0.00 0.00% |
| Symbol | Farmhouse |
Farmhouse 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Farmhouse's otc stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Farmhouse.
| 08/28/2025 |
| 11/26/2025 |
If you would invest 0.00 in Farmhouse on August 28, 2025 and sell it all today you would earn a total of 0.00 from holding Farmhouse or generate 0.0% return on investment in Farmhouse over 90 days. Farmhouse is related to or competes with ABN AMRO, Summit Bank, Laurentian Bank, Copperbank Resources, Air Lease, Mesa Air, and Ryanair Holdings. Farmhouse, Inc. operates a platform for regulated cannabis industry More
Farmhouse Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Farmhouse's otc stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Farmhouse upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 28.61 | |||
| Information Ratio | 0.1612 | |||
| Maximum Drawdown | 196.39 | |||
| Value At Risk | (20.00) | |||
| Potential Upside | 53.33 |
Farmhouse Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Farmhouse's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Farmhouse's standard deviation. In reality, there are many statistical measures that can use Farmhouse historical prices to predict the future Farmhouse's volatility.| Risk Adjusted Performance | 0.1208 | |||
| Jensen Alpha | 4.54 | |||
| Total Risk Alpha | 2.23 | |||
| Sortino Ratio | 0.1614 | |||
| Treynor Ratio | 1.98 |
Farmhouse Backtested Returns
Farmhouse is out of control given 3 months investment horizon. Farmhouse secures Sharpe Ratio (or Efficiency) of 0.16, which denotes the company had a 0.16 % return per unit of risk over the last 3 months. We have analyze and collected data for twenty-four different technical indicators, which can help you to evaluate if expected returns of 4.69% are justified by taking the suggested risk. Use Farmhouse Coefficient Of Variation of 611.19, mean deviation of 14.22, and Downside Deviation of 28.61 to evaluate company specific risk that cannot be diversified away. Farmhouse holds a performance score of 12 on a scale of zero to a hundred. The firm shows a Beta (market volatility) of 2.36, which means a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Farmhouse will likely underperform. Use Farmhouse jensen alpha, value at risk, as well as the relationship between the Value At Risk and skewness , to analyze future returns on Farmhouse.
Auto-correlation | -0.09 |
Very weak reverse predictability
Farmhouse has very weak reverse predictability. Overlapping area represents the amount of predictability between Farmhouse time series from 28th of August 2025 to 12th of October 2025 and 12th of October 2025 to 26th of November 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Farmhouse price movement. The serial correlation of -0.09 indicates that less than 9.0% of current Farmhouse price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.09 | |
| Spearman Rank Test | -0.21 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Farmhouse lagged returns against current returns
Autocorrelation, which is Farmhouse otc stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Farmhouse's otc stock expected returns. We can calculate the autocorrelation of Farmhouse returns to help us make a trade decision. For example, suppose you find that Farmhouse has exhibited high autocorrelation historically, and you observe that the otc stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Farmhouse regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Farmhouse otc stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Farmhouse otc stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Farmhouse otc stock over time.
Current vs Lagged Prices |
| Timeline |
Farmhouse Lagged Returns
When evaluating Farmhouse's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Farmhouse otc stock have on its future price. Farmhouse autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Farmhouse autocorrelation shows the relationship between Farmhouse otc stock current value and its past values and can show if there is a momentum factor associated with investing in Farmhouse.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Additional Tools for Farmhouse OTC Stock Analysis
When running Farmhouse's price analysis, check to measure Farmhouse'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 Farmhouse is operating at the current time. Most of Farmhouse's value examination focuses on studying past and present price action to predict the probability of Farmhouse's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Farmhouse's price. Additionally, you may evaluate how the addition of Farmhouse to your portfolios can decrease your overall portfolio volatility.