Fire Funds Wealth Etf Market Value
| FIRS Etf | 19.82 0.16 0.81% |
| Symbol | FIRE |
The market value of FIRE Funds Wealth is measured differently than its book value, which is the value of FIRE that is recorded on the company's balance sheet. Investors also form their own opinion of FIRE Funds' value that differs from its market value or its book value, called intrinsic value, which is FIRE Funds' 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 FIRE Funds' market value can be influenced by many factors that don't directly affect FIRE Funds' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between FIRE Funds' value and its price as these two are different measures arrived at by different means. Investors typically determine if FIRE Funds is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, FIRE Funds' 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.
FIRE Funds '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 FIRE Funds' 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 FIRE Funds.
| 12/15/2024 |
| 03/15/2025 |
If you would invest 0.00 in FIRE Funds on December 15, 2024 and sell it all today you would earn a total of 0.00 from holding FIRE Funds Wealth or generate 0.0% return on investment in FIRE Funds over 90 days. FIRE Funds is related to or competes with Freedom Day, IShares MSCI, Tidal Trust, IShares Dividend, SmartETFs Dividend, Listed Funds, and Martin Currie. FIRE Funds is entity of United States. It is traded as Etf on NYSE ARCA exchange. More
FIRE Funds 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 FIRE Funds' 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 FIRE Funds Wealth upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.1508 | |||
| Maximum Drawdown | 2.86 | |||
| Value At Risk | (0.85) | |||
| Potential Upside | 0.7064 |
FIRE Funds Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for FIRE Funds' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as FIRE Funds' standard deviation. In reality, there are many statistical measures that can use FIRE Funds historical prices to predict the future FIRE Funds' volatility.| Risk Adjusted Performance | (0.08) | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | 0.0351 | |||
| Treynor Ratio | (0.30) |
FIRE Funds Wealth Backtested Returns
FIRE Funds Wealth secures Sharpe Ratio (or Efficiency) of -0.0687, which denotes the etf had a -0.0687 % return per unit of volatility over the last 3 months. FIRE Funds Wealth exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm FIRE Funds' Mean Deviation of 0.4066, market risk adjusted performance of (0.29), and Standard Deviation of 0.5553 to check the risk estimate we provide. The etf shows a Beta (market volatility) of 0.2, which means not very significant fluctuations relative to the market. As returns on the market increase, FIRE Funds' returns are expected to increase less than the market. However, during the bear market, the loss of holding FIRE Funds is expected to be smaller as well.
Auto-correlation | -0.6 |
Good reverse predictability
FIRE Funds Wealth has good reverse predictability. Overlapping area represents the amount of predictability between FIRE Funds time series from 15th of December 2024 to 29th of January 2025 and 29th of January 2025 to 15th 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 FIRE Funds Wealth price movement. The serial correlation of -0.6 indicates that roughly 60.0% of current FIRE Funds price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.6 | |
| Spearman Rank Test | -0.25 | |
| Residual Average | 0.0 | |
| Price Variance | 0.05 |
FIRE Funds Wealth lagged returns against current returns
Autocorrelation, which is FIRE Funds 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 FIRE Funds' etf expected returns. We can calculate the autocorrelation of FIRE Funds returns to help us make a trade decision. For example, suppose you find that FIRE Funds has exhibited high autocorrelation historically, and you observe that the etf 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 |
FIRE Funds 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 FIRE Funds etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if FIRE Funds etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in FIRE Funds etf over time.
Current vs Lagged Prices |
| Timeline |
FIRE Funds Lagged Returns
When evaluating FIRE Funds' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of FIRE Funds etf have on its future price. FIRE Funds 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, FIRE Funds autocorrelation shows the relationship between FIRE Funds etf current value and its past values and can show if there is a momentum factor associated with investing in FIRE Funds Wealth.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Check out FIRE Funds Correlation, FIRE Funds Volatility and FIRE Funds Alpha and Beta module to complement your research on FIRE Funds. You can also try the Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
FIRE Funds 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, etf market cycles, or different charting patterns.