Counterpoint Tactical Equity Fund Market Value
| CPIEX Fund | USD 18.96 0.22 1.17% |
| Symbol | Counterpoint |
Counterpoint Tactical '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 Counterpoint Tactical's mutual fund 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 Counterpoint Tactical.
| 02/24/2024 |
| 04/24/2024 |
If you would invest 0.00 in Counterpoint Tactical on February 24, 2024 and sell it all today you would earn a total of 0.00 from holding Counterpoint Tactical Equity or generate 0.0% return on investment in Counterpoint Tactical over 60 days. Counterpoint Tactical is related to or competes with Counterpoint Tactical, Counterpoint Tactical, Counterpoint Tactical, Counterpoint Tactical, Counterpoint Tactical, and Counterpoint Tactical. Under normal market conditions, the fund invests at least 80 percent of its assets in long and short positions in equity... More
Counterpoint Tactical 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 Counterpoint Tactical's mutual fund 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 Counterpoint Tactical Equity upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.5321 | |||
| Information Ratio | 0.0597 | |||
| Maximum Drawdown | 3.5 | |||
| Value At Risk | (0.78) | |||
| Potential Upside | 1.14 |
Counterpoint Tactical Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Counterpoint Tactical's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Counterpoint Tactical's standard deviation. In reality, there are many statistical measures that can use Counterpoint Tactical historical prices to predict the future Counterpoint Tactical's volatility.| Risk Adjusted Performance | 0.1247 | |||
| Jensen Alpha | 0.0693 | |||
| Total Risk Alpha | 0.0361 | |||
| Sortino Ratio | 0.0703 | |||
| Treynor Ratio | 0.1951 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Counterpoint Tactical's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Counterpoint Tactical Backtested Returns
We consider Counterpoint Tactical very steady. Counterpoint Tactical secures Sharpe Ratio (or Efficiency) of 0.18, which signifies that the fund had a 0.18% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Counterpoint Tactical Equity, which you can use to evaluate the volatility of the entity. Please confirm Counterpoint Tactical's Mean Deviation of 0.4793, downside deviation of 0.5321, and Risk Adjusted Performance of 0.1247 to double-check if the risk estimate we provide is consistent with the expected return of 0.11%. The fund shows a Beta (market volatility) of 0.6, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, Counterpoint Tactical's returns are expected to increase less than the market. However, during the bear market, the loss of holding Counterpoint Tactical is expected to be smaller as well.
Auto-correlation | -0.8 |
Almost perfect reverse predictability
Counterpoint Tactical Equity has almost perfect reverse predictability. Overlapping area represents the amount of predictability between Counterpoint Tactical time series from 24th of February 2024 to 25th of March 2024 and 25th of March 2024 to 24th of April 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Counterpoint Tactical price movement. The serial correlation of -0.8 indicates that around 80.0% of current Counterpoint Tactical price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.8 | |
| Spearman Rank Test | -0.74 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
Counterpoint Tactical lagged returns against current returns
Autocorrelation, which is Counterpoint Tactical mutual fund'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 Counterpoint Tactical's mutual fund expected returns. We can calculate the autocorrelation of Counterpoint Tactical returns to help us make a trade decision. For example, suppose you find that Counterpoint Tactical has exhibited high autocorrelation historically, and you observe that the mutual fund 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 |
Counterpoint Tactical 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 Counterpoint Tactical mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Counterpoint Tactical mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Counterpoint Tactical mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Counterpoint Tactical Lagged Returns
When evaluating Counterpoint Tactical's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Counterpoint Tactical mutual fund have on its future price. Counterpoint Tactical 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, Counterpoint Tactical autocorrelation shows the relationship between Counterpoint Tactical mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Counterpoint Tactical Equity.
Regressed Prices |
| Timeline |
Pair Trading with Counterpoint Tactical
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 Counterpoint Tactical 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 Counterpoint Tactical will appreciate offsetting losses from the drop in the long position's value.Moving together with Counterpoint Mutual Fund
| 0.74 | TMNIX | Counterpoint Tactical | PairCorr |
| 0.7 | TMNCX | Counterpoint Tactical | PairCorr |
| 0.72 | TMNAX | Counterpoint Tactical | PairCorr |
| 0.91 | CPATX | Counterpoint Tactical | PairCorr |
| 1.0 | CPAEX | Counterpoint Tactical | PairCorr |
The ability to find closely correlated positions to Counterpoint Tactical could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Counterpoint Tactical 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 Counterpoint Tactical - 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 Counterpoint Tactical Equity to buy it.
The correlation of Counterpoint Tactical 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 Counterpoint Tactical moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Counterpoint Tactical 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 Counterpoint Tactical 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 Counterpoint Tactical Correlation, Counterpoint Tactical Volatility and Counterpoint Tactical Alpha and Beta module to complement your research on Counterpoint Tactical. Note that the Counterpoint Tactical information on this page should be used as a complementary analysis to other Counterpoint Tactical's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
Counterpoint Tactical technical mutual fund 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, fund market cycles, or different charting patterns.