Tradersai Large Cap Etf Technical Analysis
| HFSP Etf | 15.47 0.22 1.40% |
As of the 7th of February, TradersAI Large has the Coefficient Of Variation of (798.06), variance of 1.69, and Risk Adjusted Performance of (0.1). TradersAI Large technical analysis provides you with a way to harness past market data to determine a pattern that measures the direction of the etf's future prices.
TradersAI Large Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as TradersAI, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to TradersAITradersAI | Build AI portfolio with TradersAI Etf |
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.
| 11/09/2025 |
| 02/07/2026 |
If you would invest 0.00 in TradersAI Large on November 9, 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 | (0.19) | |||
| Maximum Drawdown | 5.58 | |||
| Value At Risk | (2.93) | |||
| Potential Upside | 1.63 |
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 | (0.1) | |||
| Jensen Alpha | (0.15) | |||
| Total Risk Alpha | (0.30) | |||
| Treynor Ratio | 0.5765 |
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 7, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | (0.1) | |||
| Market Risk Adjusted Performance | 0.5865 | |||
| Mean Deviation | 0.9818 | |||
| Coefficient Of Variation | (798.06) | |||
| Standard Deviation | 1.3 | |||
| Variance | 1.69 | |||
| Information Ratio | (0.19) | |||
| Jensen Alpha | (0.15) | |||
| Total Risk Alpha | (0.30) | |||
| Treynor Ratio | 0.5765 | |||
| Maximum Drawdown | 5.58 | |||
| Value At Risk | (2.93) | |||
| Potential Upside | 1.63 | |||
| Skewness | (0.41) | |||
| Kurtosis | 0.6585 |
TradersAI Large Cap Backtested Returns
TradersAI Large Cap owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.11, which indicates the etf had a -0.11 % return per unit of risk over the last 3 months. TradersAI Large Cap exposes twenty different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate TradersAI Large's Variance of 1.69, risk adjusted performance of (0.1), and Coefficient Of Variation of (798.06) to confirm the risk estimate we provide. The entity has a beta of -0.3, 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 | -0.01 |
Very weak reverse predictability
TradersAI Large Cap has very weak reverse predictability. Overlapping area represents the amount of predictability between TradersAI Large time series from 9th of November 2025 to 24th of December 2025 and 24th of December 2025 to 7th 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 -0.01 indicates that just 1.0% of current TradersAI Large price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.01 | |
| Spearman Rank Test | -0.1 | |
| Residual Average | 0.0 | |
| Price Variance | 0.04 |
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.
TradersAI Large Cap Technical Analysis
The output start index for this execution was fifty with a total number of output elements of eleven. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of TradersAI Large Cap volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About TradersAI Large Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of TradersAI Large Cap on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of TradersAI Large Cap based on its technical analysis. In general, a bottom-up approach, as applied to this etf, focuses on TradersAI Large Cap price pattern first instead of the macroeconomic environment surrounding TradersAI Large Cap. By analyzing TradersAI Large's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of TradersAI Large's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to TradersAI Large specific price patterns or momentum indicators. Please read more on our technical analysis page.
TradersAI Large February 7, 2026 Technical Indicators
Most technical analysis of TradersAI help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for TradersAI from various momentum indicators to cycle indicators. When you analyze TradersAI charts, please remember that the event formation may indicate an entry point for a short seller, and look at different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | (0.1) | |||
| Market Risk Adjusted Performance | 0.5865 | |||
| Mean Deviation | 0.9818 | |||
| Coefficient Of Variation | (798.06) | |||
| Standard Deviation | 1.3 | |||
| Variance | 1.69 | |||
| Information Ratio | (0.19) | |||
| Jensen Alpha | (0.15) | |||
| Total Risk Alpha | (0.30) | |||
| Treynor Ratio | 0.5765 | |||
| Maximum Drawdown | 5.58 | |||
| Value At Risk | (2.93) | |||
| Potential Upside | 1.63 | |||
| Skewness | (0.41) | |||
| Kurtosis | 0.6585 |
TradersAI Large February 7, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as TradersAI stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 0.00 | ||
| Daily Balance Of Power | (Huge) | ||
| Rate Of Daily Change | 0.99 | ||
| Day Median Price | 15.47 | ||
| Day Typical Price | 15.47 | ||
| Price Action Indicator | (0.11) |
Check out Risk vs Return Analysis to better understand how to build diversified portfolios, which includes a position in TradersAI Large Cap. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in main economic indicators. You can also try the Portfolio Center module to all portfolio management and optimization tools to improve performance of your portfolios.
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.