# Trueshares Etf Market Value

JUNZ | - USA Etf | ## USD 26.19 0.18 0.69% |

Symbol | Trueshares |

The market value of Trueshares Structured is measured differently than its book value, which is the value of Trueshares that is recorded on the company's balance sheet. Investors also form their own opinion of Trueshares Structured's value that differs from its market value or its book value, called intrinsic value, which is Trueshares Structured's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Trueshares Structured's market value can be influenced by many factors that don't directly affect Trueshares Structured underlying business (such as pandemic or basic market pessimism), market value can vary widely from intrinsic value.

Please note, there is a significant difference between Trueshares Structured's value and its price as these two are different measures arrived at by different means. Investors typically determine Trueshares Structured value by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Trueshares Structured's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.

## Trueshares Structured '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 Trueshares Structured's etf 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 Trueshares Structured.

0.00 | 08/21/2021 |
| 09/20/2021 | 0.00 |

If you would invest

**0.00**in Trueshares Structured on**August 21, 2021**and sell it all today you would**earn a total of 0.00**from holding Trueshares Structured Outcome or generate**0.0%**return on investment in Trueshares Structured over**30**days. Trueshares Structured is related to or competes with Vanguard Value, Smallcap ETF, Vanguard Growth, FTSE Developed, FTSE EM, SP 500, and Midcap ETF.## Trueshares Structured 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 Trueshares Structured's etf 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 Trueshares Structured Outcome upside and downside potential and time the market with a certain degree of confidence.

Downside Deviation | 0.4945 | |||

Information Ratio | 0.0622 | |||

Maximum Drawdown | 2.22 | |||

Value At Risk | (0.66) | |||

Potential Upside | 0.7387 |

## Trueshares Structured Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Trueshares Structured's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Trueshares Structured's standard deviation. In reality, there are many statistical measures that can use Trueshares Structured historical prices to predict the future Trueshares Structured's volatility.Risk Adjusted Performance | 0.0781 | |||

Jensen Alpha | 0.0462 | |||

Total Risk Alpha | 0.0341 | |||

Sortino Ratio | 0.0577 | |||

Treynor Ratio | (0.76) |

Sophisticated investors, who have witnessed many market ups and downs, frequently view the market will even out over time. This tendency of Trueshares Structured'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. Please use the tools below to analyze the current value of Trueshares Structured in the context of predictive analytics.

Please note, it is not enough to conduct a financial or market analysis of a single entity such as Trueshares Structured. Your research has to be compared to or analyzed against Trueshares Structured's peers to derive any actionable benefits. When done correctly, Trueshares Structured's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy towards taking a position in Trueshares Structured.

## Trueshares Structured Backtested Returns

We consider Trueshares Structured very steady. Trueshares Structured owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.12, which indicates the etf had 0.12% of return per unit of risk over the last 3 months. Our standpoint towards measuring the volatility of an etf is to use all available market data together with etf-specific technical indicators that cannot be diversified away. We have found twenty-one technical indicators for Trueshares Structured Outcome, which you can use to evaluate the future volatility of the etf. Please validate Trueshares Structured Semi Deviation of 0.3812, coefficient of variation of 830.56, and Risk Adjusted Performance of 0.0781 to confirm if the risk estimate we provide is consistent with the expected return of 0.0514%.

The entity has a beta of -0.0597, which indicates not very significant fluctuations relative to the market. Let's try to break down what Trueshares's beta means in this case. As returns on the market increase, returns on owning Trueshares Structured are expected to decrease at a much lower rate. During the bear market, Trueshares Structured is likely to outperform the market. Although it is extremely important to respect Trueshares Structured current price movements, it is better to be realistic regarding the information on equity historical returns. The philosophy towards measuring future performance of any etf is to evaluate the business as a whole together with its past performance, including all available fundamental and technical indicators. By inspecting Trueshares Structured technical indicators, you can presently evaluate if the expected return of 0.0514% will be sustainable into the future.

Advice | Volatility Trend | Exposure | Correlations |

## Auto-correlation | (0.60) |

#### Good reverse predictability

Trueshares Structured Outcome has good reverse predictability. Overlapping area represents the amount of predictability between Trueshares Structured time series from 21st of August 2021 to 5th of September 2021 and 5th of September 2021 to 20th of September 2021. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Trueshares Structured price movement. The serial correlation of

**-0.6**indicates that roughly 60.0% of current Trueshares Structured price fluctuation can be explain by its past prices. Given that Trueshares Structured Outcome has negative autocorrelation for selected time horizon, investors may consider taking a contrarian position regarding future price movement of Trueshares Structured for similar time interval.Correlation Coefficient | -0.6 | |

Spearman Rank Test | -0.43 | |

Residual Average | 0.0 | |

Price Variance | 0.02 |

## Trueshares Structured lagged returns against current returns

Autocorrelation, which is Trueshares Structured etf'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 Trueshares Structured's etf expected returns. We can calculate the autocorrelation of Trueshares Structured returns to help us make a trade decision. For example, suppose you find that Trueshares Structured etf 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 stock movement to match the lagging time series.

Current and Lagged Values |

Timeline |

## Trueshares Structured 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 Trueshares Structured etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Trueshares Structured etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Trueshares Structured etf over time.

Current vs Lagged Prices |

Timeline |

## Trueshares Structured Lagged Returns

When evaluating Trueshares Structured's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Trueshares Structured etf have on its future price. Trueshares Structured 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, Trueshares Structured autocorrelation shows the relationship between Trueshares Structured etf current value and its past values and can show if there is a momentum factor associated with investing in Trueshares Structured Outcome.

Regressed Prices |

Timeline |

## Be your own money manager

Our tools can tell you how much better you can do entering a position in Trueshares Structured without increasing your portfolio risk or giving up expected return. As an individual investor, you need to find a reliable way to track all your investment portfolios. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing all investors analytical transparency into all their portfolios, our tools can evaluate.risk-adjusted returns of your individual positions relative to your overall portfolio.## Did you try this?

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Macroaxis puts the power of mathematics on your side. We analyze your portfolios and positions such as Trueshares Structured using complex mathematical models and algorithms, but make them easy to understand. There is no real person involved in your portfolio analysis. We perform a number of calculations to compute absolute and relative portfolio volatility, correlation between your assets, value at risk, expected return as well as over 100 different fundamental and technical indicators.## Build Optimal Portfolios

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Please see Trueshares Structured Hype Analysis, Trueshares Structured Correlation, Portfolio Optimization, Trueshares Structured Volatility, as well as analyze Trueshares Structured Alpha and Beta and Trueshares Structured Performance. Note that the Trueshares Structured information on this page should be used as a complementary analysis to other Trueshares Structured'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 Portfolio Diagnostics module to use generated alerts and portfolio events aggregator to diagnose current holdings.

## Complementary Tools for Trueshares Etf analysis

When running Trueshares Structured price analysis, check to measure Trueshares Structured'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 Trueshares Structured is operating at the current time. Most of Trueshares Structured's value examination focuses on studying past and present price action to predict the probability of Trueshares Structured's future price movements. You can analyze the entity against its peers and financial market as a whole to determine factors that move Trueshares Structured's price. Additionally, you may evaluate how the addition of Trueshares Structured to your portfolios can decrease your overall portfolio volatility.

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Trueshares Structured technical etf 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.