Bitfarms Stock Market Value
| BITF Stock | 1.61 0.02 1.26% |
| Symbol | Bitfarms |
Bitfarms Price To Book Ratio
Bitfarms '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 Bitfarms' 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 Bitfarms.
| 12/16/2024 |
| 03/16/2025 |
If you would invest 0.00 in Bitfarms on December 16, 2024 and sell it all today you would earn a total of 0.00 from holding Bitfarms or generate 0.0% return on investment in Bitfarms over 90 days. Bitfarms is related to or competes with Hut 8, Bitfarms, Dmg Blockchain, Galaxy Digital, and Digihost Technology. Bitfarms is entity of Canada. It is traded as Stock on TO exchange. More
Bitfarms 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 Bitfarms' 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 Bitfarms upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.15) | |||
| Maximum Drawdown | 22.65 | |||
| Value At Risk | (8.52) | |||
| Potential Upside | 8.18 |
Bitfarms Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Bitfarms' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Bitfarms' standard deviation. In reality, there are many statistical measures that can use Bitfarms historical prices to predict the future Bitfarms' volatility.| Risk Adjusted Performance | (0.14) | |||
| Jensen Alpha | (0.66) | |||
| Total Risk Alpha | (0.24) | |||
| Treynor Ratio | (0.49) |
Bitfarms Backtested Returns
Bitfarms secures Sharpe Ratio (or Efficiency) of -0.18, which signifies that the company had a -0.18 % return per unit of risk over the last 3 months. Bitfarms exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Bitfarms' Standard Deviation of 4.84, risk adjusted performance of (0.14), and Mean Deviation of 3.72 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 1.72, which signifies 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, Bitfarms will likely underperform. At this point, Bitfarms has a negative expected return of -0.88%. Please make sure to confirm Bitfarms' maximum drawdown, potential upside, kurtosis, as well as the relationship between the value at risk and skewness , to decide if Bitfarms performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.58 |
Modest predictability
Bitfarms has modest predictability. Overlapping area represents the amount of predictability between Bitfarms time series from 16th of December 2024 to 30th of January 2025 and 30th of January 2025 to 16th of March 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 Bitfarms price movement. The serial correlation of 0.58 indicates that roughly 58.0% of current Bitfarms price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.58 | |
| Spearman Rank Test | 0.39 | |
| Residual Average | 0.0 | |
| Price Variance | 0.04 |
Bitfarms lagged returns against current returns
Autocorrelation, which is Bitfarms 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 Bitfarms' stock expected returns. We can calculate the autocorrelation of Bitfarms returns to help us make a trade decision. For example, suppose you find that Bitfarms has exhibited high autocorrelation historically, and you observe that the 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 |
Bitfarms 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 Bitfarms stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Bitfarms stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Bitfarms stock over time.
Current vs Lagged Prices |
| Timeline |
Bitfarms Lagged Returns
When evaluating Bitfarms' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Bitfarms stock have on its future price. Bitfarms 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, Bitfarms autocorrelation shows the relationship between Bitfarms stock current value and its past values and can show if there is a momentum factor associated with investing in Bitfarms.
Regressed Prices |
| Timeline |
Pair Trading with Bitfarms
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 Bitfarms 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 Bitfarms will appreciate offsetting losses from the drop in the long position's value.Moving against Bitfarms Stock
The ability to find closely correlated positions to Bitfarms could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Bitfarms 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 Bitfarms - 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 Bitfarms to buy it.
The correlation of Bitfarms 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 Bitfarms moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Bitfarms 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 Bitfarms 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.Check out Bitfarms Correlation, Bitfarms Volatility and Bitfarms Alpha and Beta module to complement your research on Bitfarms. To learn how to invest in Bitfarms Stock, please use our How to Invest in Bitfarms guide.You can also try the Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
Bitfarms technical 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, stock market cycles, or different charting patterns.