Farmhouse Stock Technical Analysis
| FMHS Stock | USD 0.09 0.01 10.00% |
As of the 29th of January, Farmhouse shows the Coefficient Of Variation of 1045.76, downside deviation of 33.36, and Mean Deviation of 14.14. Farmhouse technical analysis allows you to utilize historical prices and volume patterns in order to determine a pattern that computes the direction of the firm's future prices. Put another way, you can use this information to find out if the firm will indeed mirror its model of historical prices and volume momentum, or the prices will eventually revert. We have analyze and collected data for nineteen technical drivers for Farmhouse, which can be compared to its peers. Please confirm Farmhouse variance, value at risk, as well as the relationship between the Value At Risk and skewness to decide if Farmhouse is priced favorably, providing market reflects its regular price of 0.09 per share. As Farmhouse appears to be a penny stock we also advise to verify its total risk alpha numbers.
Farmhouse Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Farmhouse, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to FarmhouseFarmhouse |
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.
| 10/31/2025 |
| 01/29/2026 |
If you would invest 0.00 in Farmhouse on October 31, 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 Creatd. 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 | 33.36 | |||
| Information Ratio | 0.0932 | |||
| Maximum Drawdown | 196.15 | |||
| Value At Risk | (44.44) | |||
| Potential Upside | 80.0 |
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 | 0.0801 | |||
| Jensen Alpha | 2.44 | |||
| Total Risk Alpha | 0.2158 | |||
| Sortino Ratio | 0.0855 | |||
| Treynor Ratio | 0.3932 |
Farmhouse January 29, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0801 | |||
| Market Risk Adjusted Performance | 0.4032 | |||
| Mean Deviation | 14.14 | |||
| Semi Deviation | 14.43 | |||
| Downside Deviation | 33.36 | |||
| Coefficient Of Variation | 1045.76 | |||
| Standard Deviation | 30.61 | |||
| Variance | 937.19 | |||
| Information Ratio | 0.0932 | |||
| Jensen Alpha | 2.44 | |||
| Total Risk Alpha | 0.2158 | |||
| Sortino Ratio | 0.0855 | |||
| Treynor Ratio | 0.3932 | |||
| Maximum Drawdown | 196.15 | |||
| Value At Risk | (44.44) | |||
| Potential Upside | 80.0 | |||
| Downside Variance | 1113.21 | |||
| Semi Variance | 208.15 | |||
| Expected Short fall | (69.61) | |||
| Skewness | 2.5 | |||
| Kurtosis | 10.12 |
Farmhouse Backtested Returns
Farmhouse is out of control given 3 months investment horizon. Farmhouse secures Sharpe Ratio (or Efficiency) of 0.0919, which denotes the company had a 0.0919 % return per unit of risk over the last 3 months. We have analyze and collected data for twenty-seven different technical indicators, which can help you to evaluate if expected returns of 2.9% are justified by taking the suggested risk. Use Farmhouse Coefficient Of Variation of 1045.76, mean deviation of 14.14, and Downside Deviation of 33.36 to evaluate company specific risk that cannot be diversified away. Farmhouse holds a performance score of 7 on a scale of zero to a hundred. The firm shows a Beta (market volatility) of 7.42, 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 value at risk, as well as the relationship between the skewness and price action indicator , to analyze future returns on Farmhouse.
Auto-correlation | -0.62 |
Very good reverse predictability
Farmhouse has very good reverse predictability. Overlapping area represents the amount of predictability between Farmhouse time series from 31st of October 2025 to 15th of December 2025 and 15th of December 2025 to 29th of January 2026. 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 -0.62 indicates that roughly 62.0% of current Farmhouse price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.62 | |
| Spearman Rank Test | -0.8 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Farmhouse technical otc 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, otc market cycles, or different charting patterns.
Farmhouse Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. The Normalized Average True Range is used to analyze tradable apportunities for Farmhouse across different markets.
About Farmhouse Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Farmhouse on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Farmhouse based on its technical analysis. In general, a bottom-up approach, as applied to this otc stock, focuses on Farmhouse price pattern first instead of the macroeconomic environment surrounding Farmhouse. By analyzing Farmhouse's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Farmhouse's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Farmhouse specific price patterns or momentum indicators. Please read more on our technical analysis page.
Farmhouse January 29, 2026 Technical Indicators
Most technical analysis of Farmhouse help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Farmhouse from various momentum indicators to cycle indicators. When you analyze Farmhouse charts, please remember that the event formation may indicate an entry point for a short seller, and look at different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0801 | |||
| Market Risk Adjusted Performance | 0.4032 | |||
| Mean Deviation | 14.14 | |||
| Semi Deviation | 14.43 | |||
| Downside Deviation | 33.36 | |||
| Coefficient Of Variation | 1045.76 | |||
| Standard Deviation | 30.61 | |||
| Variance | 937.19 | |||
| Information Ratio | 0.0932 | |||
| Jensen Alpha | 2.44 | |||
| Total Risk Alpha | 0.2158 | |||
| Sortino Ratio | 0.0855 | |||
| Treynor Ratio | 0.3932 | |||
| Maximum Drawdown | 196.15 | |||
| Value At Risk | (44.44) | |||
| Potential Upside | 80.0 | |||
| Downside Variance | 1113.21 | |||
| Semi Variance | 208.15 | |||
| Expected Short fall | (69.61) | |||
| Skewness | 2.5 | |||
| Kurtosis | 10.12 |
Farmhouse January 29, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Farmhouse stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 0.00 | ||
| Daily Balance Of Power | (Huge) | ||
| Rate Of Daily Change | 0.90 | ||
| Day Median Price | 0.09 | ||
| Day Typical Price | 0.09 | ||
| Price Action Indicator | (0.01) |
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.