Future Farm Technologies Stock Technical Analysis
Future Farm Technologies 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.
Future Farm Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Future, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to FutureFuture |
Future Farm '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 Future Farm's pink sheet 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 Future Farm.
| 11/07/2025 |
| 02/05/2026 |
If you would invest 0.00 in Future Farm on November 7, 2025 and sell it all today you would earn a total of 0.00 from holding Future Farm Technologies or generate 0.0% return on investment in Future Farm over 90 days. Future Farm Technologies Inc., together with its subsidiaries, engages in indoor plant growth technology and production ... More
Future Farm 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 Future Farm's pink sheet 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 Future Farm Technologies upside and downside potential and time the market with a certain degree of confidence.
Future Farm Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Future Farm's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Future Farm's standard deviation. In reality, there are many statistical measures that can use Future Farm historical prices to predict the future Future Farm's volatility.Future Farm Technologies Backtested Returns
We have found zero technical indicators for Future Farm Technologies, which you can use to evaluate the volatility of the firm. The firm shows a Beta (market volatility) of 0.0, which means not very significant fluctuations relative to the market. the returns on MARKET and Future Farm are completely uncorrelated.
Auto-correlation | 0.00 |
No correlation between past and present
Future Farm Technologies has no correlation between past and present. Overlapping area represents the amount of predictability between Future Farm time series from 7th of November 2025 to 22nd of December 2025 and 22nd of December 2025 to 5th of February 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 Future Farm Technologies price movement. The serial correlation of 0.0 indicates that just 0.0% of current Future Farm price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 1.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Future Farm 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.
Future Farm Technologies Technical Analysis
The function did not generate any output. Please change time horizon or modify your input parameters. The output start index for this execution was fifty with a total number of output elements of eleven. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Future Farm Technologies volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Future Farm 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 Future Farm Technologies 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 Future Farm Technologies based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Future Farm Technologies price pattern first instead of the macroeconomic environment surrounding Future Farm Technologies. By analyzing Future Farm'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 Future Farm'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 Future Farm specific price patterns or momentum indicators. Please read more on our technical analysis page.
Complementary Tools for Future Pink Sheet analysis
When running Future Farm's price analysis, check to measure Future Farm'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 Future Farm is operating at the current time. Most of Future Farm's value examination focuses on studying past and present price action to predict the probability of Future Farm's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Future Farm's price. Additionally, you may evaluate how the addition of Future Farm to your portfolios can decrease your overall portfolio volatility.
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