First Trust (UK) Technical Analysis
| UIND Etf | 36.18 0.15 0.42% |
As of the 30th of January, First Trust shows the Coefficient Of Variation of 408.49, mean deviation of 0.5326, and Downside Deviation of 0.63. In respect to fundamental indicators, the technical analysis model provides you with a way to check existing technical drivers of First Trust, as well as the relationship between them. Please confirm First Trust Equity maximum drawdown, potential upside, and the relationship between the treynor ratio and value at risk to decide if First Trust Equity is priced favorably, providing market reflects its regular price of 36.18 per share.
First Trust Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as First, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to FirstFirst |
First Trust '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 First Trust'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 First Trust.
| 11/01/2025 |
| 01/30/2026 |
If you would invest 0.00 in First Trust on November 1, 2025 and sell it all today you would earn a total of 0.00 from holding First Trust Equity or generate 0.0% return on investment in First Trust over 90 days. First Trust is related to or competes with First Trust, First Trust, First Trust, First Trust, First Trust, First Trust, and First Trust. More
First Trust 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 First Trust'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 First Trust Equity upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.63 | |||
| Information Ratio | 0.1563 | |||
| Maximum Drawdown | 3.02 | |||
| Value At Risk | (0.95) | |||
| Potential Upside | 1.32 |
First Trust Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for First Trust's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as First Trust's standard deviation. In reality, there are many statistical measures that can use First Trust historical prices to predict the future First Trust's volatility.| Risk Adjusted Performance | 0.1772 | |||
| Jensen Alpha | 0.1554 | |||
| Total Risk Alpha | 0.1106 | |||
| Sortino Ratio | 0.1718 | |||
| Treynor Ratio | 1.96 |
First Trust January 30, 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 | 0.1772 | |||
| Market Risk Adjusted Performance | 1.97 | |||
| Mean Deviation | 0.5326 | |||
| Semi Deviation | 0.3706 | |||
| Downside Deviation | 0.63 | |||
| Coefficient Of Variation | 408.49 | |||
| Standard Deviation | 0.6926 | |||
| Variance | 0.4797 | |||
| Information Ratio | 0.1563 | |||
| Jensen Alpha | 0.1554 | |||
| Total Risk Alpha | 0.1106 | |||
| Sortino Ratio | 0.1718 | |||
| Treynor Ratio | 1.96 | |||
| Maximum Drawdown | 3.02 | |||
| Value At Risk | (0.95) | |||
| Potential Upside | 1.32 | |||
| Downside Variance | 0.3969 | |||
| Semi Variance | 0.1373 | |||
| Expected Short fall | (0.62) | |||
| Skewness | 0.3267 | |||
| Kurtosis | (0.07) |
First Trust Equity Backtested Returns
Currently, First Trust Equity is very steady. First Trust Equity secures Sharpe Ratio (or Efficiency) of 0.24, which denotes the etf had a 0.24 % return per unit of risk over the last 3 months. We have found thirty technical indicators for First Trust Equity, which you can use to evaluate the volatility of the entity. Please confirm First Trust's Coefficient Of Variation of 408.49, downside deviation of 0.63, and Mean Deviation of 0.5326 to check if the risk estimate we provide is consistent with the expected return of 0.17%. The etf shows a Beta (market volatility) of 0.0816, which means not very significant fluctuations relative to the market. As returns on the market increase, First Trust's returns are expected to increase less than the market. However, during the bear market, the loss of holding First Trust is expected to be smaller as well.
Auto-correlation | 0.83 |
Very good predictability
First Trust Equity has very good predictability. Overlapping area represents the amount of predictability between First Trust time series from 1st of November 2025 to 16th of December 2025 and 16th of December 2025 to 30th of January 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 First Trust Equity price movement. The serial correlation of 0.83 indicates that around 83.0% of current First Trust price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.83 | |
| Spearman Rank Test | 0.81 | |
| Residual Average | 0.0 | |
| Price Variance | 0.28 |
First Trust 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.
First Trust Equity Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. 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 First Trust Equity volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About First Trust 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 First Trust Equity 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 First Trust Equity based on its technical analysis. In general, a bottom-up approach, as applied to this etf, focuses on First Trust Equity price pattern first instead of the macroeconomic environment surrounding First Trust Equity. By analyzing First Trust'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 First Trust'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 First Trust specific price patterns or momentum indicators. Please read more on our technical analysis page.
First Trust January 30, 2026 Technical Indicators
Most technical analysis of First 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 First from various momentum indicators to cycle indicators. When you analyze First 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 | 0.1772 | |||
| Market Risk Adjusted Performance | 1.97 | |||
| Mean Deviation | 0.5326 | |||
| Semi Deviation | 0.3706 | |||
| Downside Deviation | 0.63 | |||
| Coefficient Of Variation | 408.49 | |||
| Standard Deviation | 0.6926 | |||
| Variance | 0.4797 | |||
| Information Ratio | 0.1563 | |||
| Jensen Alpha | 0.1554 | |||
| Total Risk Alpha | 0.1106 | |||
| Sortino Ratio | 0.1718 | |||
| Treynor Ratio | 1.96 | |||
| Maximum Drawdown | 3.02 | |||
| Value At Risk | (0.95) | |||
| Potential Upside | 1.32 | |||
| Downside Variance | 0.3969 | |||
| Semi Variance | 0.1373 | |||
| Expected Short fall | (0.62) | |||
| Skewness | 0.3267 | |||
| Kurtosis | (0.07) |
First Trust January 30, 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 First 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 | 1.15 | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 36.25 | ||
| Day Typical Price | 36.22 | ||
| Price Action Indicator | 0.01 | ||
| Market Facilitation Index | 0.13 |
Check out World Market Map to better understand how to build diversified portfolios, which includes a position in First Trust Equity. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in employment. You can also try the Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.