LOOM Technical Analysis
| LOOM Crypto | USD 0 0.000001 0.04% |
As of the 23rd of February, LOOM secures the mean deviation of 353.54, and Risk Adjusted Performance of 0.2306. In respect to fundamental indicators, the technical analysis model lets you check practical technical drivers of LOOM, as well as the relationship between them.
LOOM Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as LOOM, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to LOOMLOOM |
LOOM '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 LOOM's crypto coin 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 LOOM.
| 11/25/2025 |
| 02/23/2026 |
If you would invest 0.00 in LOOM on November 25, 2025 and sell it all today you would earn a total of 0.00 from holding LOOM or generate 0.0% return on investment in LOOM over 90 days. LOOM is related to or competes with XRP, Solana, Hyperliquid, TRON, Staked Ether, WhiteBIT Token, and World Liberty. LOOM is peer-to-peer digital currency powered by the Blockchain technology.
LOOM 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 LOOM's crypto coin 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 LOOM upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 44.54 | |||
| Information Ratio | 0.2892 | |||
| Maximum Drawdown | 3836.19 | |||
| Value At Risk | (91.90) | |||
| Potential Upside | 1128.97 |
LOOM Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for LOOM's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as LOOM's standard deviation. In reality, there are many statistical measures that can use LOOM historical prices to predict the future LOOM's volatility.| Risk Adjusted Performance | 0.2306 | |||
| Jensen Alpha | 183.42 | |||
| Total Risk Alpha | 129.35 | |||
| Sortino Ratio | 4.27 | |||
| Treynor Ratio | 2.0 |
LOOM February 23, 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 | 0.2306 | |||
| Market Risk Adjusted Performance | 2.01 | |||
| Mean Deviation | 353.54 | |||
| Semi Deviation | 32.45 | |||
| Downside Deviation | 44.54 | |||
| Coefficient Of Variation | 345.58 | |||
| Standard Deviation | 657.05 | |||
| Variance | 431708.86 | |||
| Information Ratio | 0.2892 | |||
| Jensen Alpha | 183.42 | |||
| Total Risk Alpha | 129.35 | |||
| Sortino Ratio | 4.27 | |||
| Treynor Ratio | 2.0 | |||
| Maximum Drawdown | 3836.19 | |||
| Value At Risk | (91.90) | |||
| Potential Upside | 1128.97 | |||
| Downside Variance | 1984.24 | |||
| Semi Variance | 1053.03 | |||
| Expected Short fall | (429.78) | |||
| Skewness | 3.99 | |||
| Kurtosis | 17.32 |
LOOM Backtested Returns
LOOM is abnormally risky given 3 months investment horizon. LOOM has Sharpe Ratio of 0.31, which conveys that digital coin had a 0.31 % return per unit of volatility over the last 3 months. We were able to break down twenty-seven different technical indicators, which can help you to evaluate if expected returns of 93.72% are justified by taking the suggested risk. Use LOOM risk adjusted performance of 0.2306, and Mean Deviation of 353.54 to evaluate coin specific risk that cannot be diversified away. The crypto secures a Beta (Market Risk) of 95.0, which conveys a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, LOOM will likely underperform.
Auto-correlation | -0.2 |
Insignificant reverse predictability
LOOM has insignificant reverse predictability. Overlapping area represents the amount of predictability between LOOM time series from 25th of November 2025 to 9th of January 2026 and 9th of January 2026 to 23rd 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 LOOM price movement. The serial correlation of -0.2 indicates that over 20.0% of current LOOM price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.2 | |
| Spearman Rank Test | 0.02 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
LOOM technical crypto coin 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, crypto market cycles, or different charting patterns.
LOOM Technical Analysis
The output start index for this execution was ten with a total number of output elements of fifty-one. The Normalized Average True Range is used to analyze tradable apportunities for LOOM across different markets.
About LOOM 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 LOOM 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 LOOM based on its technical analysis. In general, a bottom-up approach, as applied to this cryptocurrency, focuses on LOOM price pattern first instead of the macroeconomic environment surrounding LOOM. By analyzing daily price indicators and various types of growth rates, we attempt to find the most accurate representation of LOOM's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the crypto market before zooming in to LOOM specific price patterns or momentum indicators.
LOOM February 23, 2026 Technical Indicators
Most technical analysis of LOOM 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 LOOM from various momentum indicators to cycle indicators. When you analyze LOOM 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 | 0.2306 | |||
| Market Risk Adjusted Performance | 2.01 | |||
| Mean Deviation | 353.54 | |||
| Semi Deviation | 32.45 | |||
| Downside Deviation | 44.54 | |||
| Coefficient Of Variation | 345.58 | |||
| Standard Deviation | 657.05 | |||
| Variance | 431708.86 | |||
| Information Ratio | 0.2892 | |||
| Jensen Alpha | 183.42 | |||
| Total Risk Alpha | 129.35 | |||
| Sortino Ratio | 4.27 | |||
| Treynor Ratio | 2.0 | |||
| Maximum Drawdown | 3836.19 | |||
| Value At Risk | (91.90) | |||
| Potential Upside | 1128.97 | |||
| Downside Variance | 1984.24 | |||
| Semi Variance | 1053.03 | |||
| Expected Short fall | (429.78) | |||
| Skewness | 3.99 | |||
| Kurtosis | 17.32 |
LOOM February 23, 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 LOOM 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 | 1.00 | ||
| Day Median Price | 0.00 | ||
| Day Typical Price | 0.00 | ||
| Price Action Indicator | 0.00 |
Check out Correlation Analysis to better understand how to build diversified portfolios, which includes a position in LOOM. Also, note that the market value of any cryptocurrency could be closely tied with the direction of predictive economic indicators such as signals in inflation. You can also try the Funds Screener module to find actively-traded funds from around the world traded on over 30 global exchanges.