Tradersai Large Cap Etf Market Value
| HFSP Etf | 15.06 0.03 0.20% |
| Symbol | TradersAI |
Investors evaluate TradersAI Large Cap using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating TradersAI Large's intrinsic value - the estimated true worth - helps identify when the stock trades at a discount or premium to fair value. Market participants employ diverse analytical approaches to determine fair value and identify buying opportunities when prices dip below calculated worth. External factors like market trends, sector rotation, and investor psychology can cause TradersAI Large's market price to deviate significantly from intrinsic value.
Please note, there is a significant difference between TradersAI Large's value and its price as these two are different measures arrived at by different means. Investors typically determine if TradersAI Large is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. Conversely, TradersAI Large's market price signifies the transaction level at which participants voluntarily complete trades.
TradersAI Large '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 TradersAI Large'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 TradersAI Large.
| 11/21/2025 |
| 02/19/2026 |
If you would invest 0.00 in TradersAI Large on November 21, 2025 and sell it all today you would earn a total of 0.00 from holding TradersAI Large Cap or generate 0.0% return on investment in TradersAI Large over 90 days. TradersAI Large is related to or competes with Global X, One One, MicroSectors Travel, GlacierShares Nasdaq, WisdomTree Trust, First Trust, and ProShares Supply. TradersAI Large is entity of United States More
TradersAI Large 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 TradersAI Large'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 TradersAI Large Cap upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.13) | |||
| Maximum Drawdown | 6.42 | |||
| Value At Risk | (2.28) | |||
| Potential Upside | 2.0 |
TradersAI Large Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for TradersAI Large's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as TradersAI Large's standard deviation. In reality, there are many statistical measures that can use TradersAI Large historical prices to predict the future TradersAI Large's volatility.| Risk Adjusted Performance | (0.07) | |||
| Jensen Alpha | (0.11) | |||
| Total Risk Alpha | (0.18) | |||
| Treynor Ratio | 0.4914 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of TradersAI Large'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.
TradersAI Large February 19, 2026 Technical Indicators
| Cycle Indicators | ||
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| Math Transform | ||
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| Price Transform | ||
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| Volume Indicators |
| Risk Adjusted Performance | (0.07) | |||
| Market Risk Adjusted Performance | 0.5014 | |||
| Mean Deviation | 0.9309 | |||
| Coefficient Of Variation | (1,127) | |||
| Standard Deviation | 1.25 | |||
| Variance | 1.57 | |||
| Information Ratio | (0.13) | |||
| Jensen Alpha | (0.11) | |||
| Total Risk Alpha | (0.18) | |||
| Treynor Ratio | 0.4914 | |||
| Maximum Drawdown | 6.42 | |||
| Value At Risk | (2.28) | |||
| Potential Upside | 2.0 | |||
| Skewness | (0.25) | |||
| Kurtosis | 0.6441 |
TradersAI Large Cap Backtested Returns
TradersAI Large Cap owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0785, which indicates the etf had a -0.0785 % return per unit of risk over the last 3 months. TradersAI Large Cap exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate TradersAI Large's Variance of 1.57, risk adjusted performance of (0.07), and Coefficient Of Variation of (1,127) to confirm the risk estimate we provide. The entity has a beta of -0.25, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning TradersAI Large are expected to decrease at a much lower rate. During the bear market, TradersAI Large is likely to outperform the market.
Auto-correlation | -0.25 |
Weak reverse predictability
TradersAI Large Cap has weak reverse predictability. Overlapping area represents the amount of predictability between TradersAI Large time series from 21st of November 2025 to 5th of January 2026 and 5th of January 2026 to 19th 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 TradersAI Large Cap price movement. The serial correlation of -0.25 indicates that over 25.0% of current TradersAI Large price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.25 | |
| Spearman Rank Test | -0.35 | |
| Residual Average | 0.0 | |
| Price Variance | 0.06 |
Pair Trading with TradersAI Large
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 TradersAI Large 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 TradersAI Large will appreciate offsetting losses from the drop in the long position's value.Moving against TradersAI Etf
| 0.36 | TOCT | Innovator Equity Defined | PairCorr |
| 0.36 | IBBQ | Invesco Nasdaq Biote | PairCorr |
| 0.35 | GAPR | First Trust Exchange | PairCorr |
| 0.35 | PMAY | Innovator SP 500 | PairCorr |
| 0.34 | ITWO | Proshares Russell 2000 | PairCorr |
The ability to find closely correlated positions to TradersAI Large could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace TradersAI Large 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 TradersAI Large - 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 TradersAI Large Cap to buy it.
The correlation of TradersAI Large 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 TradersAI Large moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if TradersAI Large Cap 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 TradersAI Large 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 TradersAI Large Correlation, TradersAI Large Volatility and TradersAI Large Performance module to complement your research on TradersAI Large. You can also try the Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
TradersAI Large 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.