Build Funds Trust Etf Technical Analysis
| BFIX Etf | USD 25.50 0.03 0.12% |
As of the 2nd of February, Build Funds shows the Mean Deviation of 0.1558, risk adjusted performance of 0.072, and Downside Deviation of 0.2045. Build Funds Trust technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates the direction of the entity's future prices.
Build Funds Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Build, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to BuildBuild Funds' Momentum analyses are specifically helpful, as they help investors time the market using mark points where the market can reverse. The reversal spots are usually identified through divergence between price movement and momentum.Build Funds Trust's market price often diverges from its book value, the accounting figure shown on Build's balance sheet. Smart investors calculate Build Funds' intrinsic value - its true economic worth - which may differ significantly from both market price and book value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Since Build Funds' trading price responds to investor sentiment, macroeconomic conditions, and market psychology, it can swing far from fundamental value.
It's important to distinguish between Build Funds' intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding Build Funds should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. However, Build 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.
Build 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 Build 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 Build Funds.
| 11/04/2025 |
| 02/02/2026 |
If you would invest 0.00 in Build Funds on November 4, 2025 and sell it all today you would earn a total of 0.00 from holding Build Funds Trust or generate 0.0% return on investment in Build Funds over 90 days. Build Funds is related to or competes with Tidal ETF, TCW Transform, YieldMax R2000, Calamos ETF, American Beacon, GraniteShares, and Kurv Yield. The fund is an actively managed exchange-traded fund that seeks to achieve its investment objective through investing in... More
Build 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 Build 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 Build Funds Trust upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.2045 | |||
| Information Ratio | (0.14) | |||
| Maximum Drawdown | 1.11 | |||
| Value At Risk | (0.32) | |||
| Potential Upside | 0.3583 |
Build Funds Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Build Funds' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Build Funds' standard deviation. In reality, there are many statistical measures that can use Build Funds historical prices to predict the future Build Funds' volatility.| Risk Adjusted Performance | 0.072 | |||
| Jensen Alpha | 0.0119 | |||
| Total Risk Alpha | 0.0046 | |||
| Sortino Ratio | (0.14) | |||
| Treynor Ratio | 0.143 |
Build Funds February 2, 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 | 0.072 | |||
| Market Risk Adjusted Performance | 0.153 | |||
| Mean Deviation | 0.1558 | |||
| Semi Deviation | 0.0944 | |||
| Downside Deviation | 0.2045 | |||
| Coefficient Of Variation | 751.33 | |||
| Standard Deviation | 0.2062 | |||
| Variance | 0.0425 | |||
| Information Ratio | (0.14) | |||
| Jensen Alpha | 0.0119 | |||
| Total Risk Alpha | 0.0046 | |||
| Sortino Ratio | (0.14) | |||
| Treynor Ratio | 0.143 | |||
| Maximum Drawdown | 1.11 | |||
| Value At Risk | (0.32) | |||
| Potential Upside | 0.3583 | |||
| Downside Variance | 0.0418 | |||
| Semi Variance | 0.0089 | |||
| Expected Short fall | (0.18) | |||
| Skewness | (0.01) | |||
| Kurtosis | 0.614 |
Build Funds Trust Backtested Returns
At this stage we consider Build Etf to be very steady. Build Funds Trust secures Sharpe Ratio (or Efficiency) of 0.13, which signifies that the etf had a 0.13 % return per unit of risk over the last 3 months. We have found thirty technical indicators for Build Funds Trust, which you can use to evaluate the volatility of the entity. Please confirm Build Funds' Mean Deviation of 0.1558, risk adjusted performance of 0.072, and Downside Deviation of 0.2045 to double-check if the risk estimate we provide is consistent with the expected return of 0.0274%. The etf shows a Beta (market volatility) of 0.12, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Build Funds' returns are expected to increase less than the market. However, during the bear market, the loss of holding Build Funds is expected to be smaller as well.
Auto-correlation | 0.42 |
Average predictability
Build Funds Trust has average predictability. Overlapping area represents the amount of predictability between Build Funds time series from 4th of November 2025 to 19th of December 2025 and 19th of December 2025 to 2nd 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 Build Funds Trust price movement. The serial correlation of 0.42 indicates that just about 42.0% of current Build Funds price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.42 | |
| Spearman Rank Test | 0.48 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Build 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.
Build Funds Trust Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. The Normalized Average True Range is used to analyze tradable apportunities for Build Funds Trust across different markets.
About Build Funds 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 Build Funds Trust 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 Build Funds Trust based on its technical analysis. In general, a bottom-up approach, as applied to this etf, focuses on Build Funds Trust price pattern first instead of the macroeconomic environment surrounding Build Funds Trust. By analyzing Build Funds'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 Build Funds'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 Build Funds specific price patterns or momentum indicators. Please read more on our technical analysis page.
Build Funds February 2, 2026 Technical Indicators
Most technical analysis of Build 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 Build from various momentum indicators to cycle indicators. When you analyze Build 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 | 0.072 | |||
| Market Risk Adjusted Performance | 0.153 | |||
| Mean Deviation | 0.1558 | |||
| Semi Deviation | 0.0944 | |||
| Downside Deviation | 0.2045 | |||
| Coefficient Of Variation | 751.33 | |||
| Standard Deviation | 0.2062 | |||
| Variance | 0.0425 | |||
| Information Ratio | (0.14) | |||
| Jensen Alpha | 0.0119 | |||
| Total Risk Alpha | 0.0046 | |||
| Sortino Ratio | (0.14) | |||
| Treynor Ratio | 0.143 | |||
| Maximum Drawdown | 1.11 | |||
| Value At Risk | (0.32) | |||
| Potential Upside | 0.3583 | |||
| Downside Variance | 0.0418 | |||
| Semi Variance | 0.0089 | |||
| Expected Short fall | (0.18) | |||
| Skewness | (0.01) | |||
| Kurtosis | 0.614 |
Build Funds February 2, 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 Build 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 | (3.00) | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 25.49 | ||
| Day Typical Price | 25.50 | ||
| Price Action Indicator | (0.01) | ||
| Market Facilitation Index | 0.01 |
Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Build Funds Trust. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in gross domestic product. You can also try the Efficient Frontier module to plot and analyze your portfolio and positions against risk-return landscape of the market..
Build Funds Trust's market price often diverges from its book value, the accounting figure shown on Build's balance sheet. Smart investors calculate Build Funds' intrinsic value - its true economic worth - which may differ significantly from both market price and book value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Since Build Funds' trading price responds to investor sentiment, macroeconomic conditions, and market psychology, it can swing far from fundamental value.
It's important to distinguish between Build Funds' intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding Build Funds should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. However, Build 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.