STORJ Technical Analysis
| STORJ Crypto | USD 0.1 0 2.24% |
As of the 23rd of February, STORJ has the risk adjusted performance of (0.04), and Variance of 51.22. Compared to fundamental indicators, the technical analysis model makes it possible for you to check available technical drivers of STORJ, as well as the relationship between them.
STORJ Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as STORJ, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to STORJSTORJ |
STORJ '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 STORJ'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 STORJ.
| 11/25/2025 |
| 02/23/2026 |
If you would invest 0.00 in STORJ on November 25, 2025 and sell it all today you would earn a total of 0.00 from holding STORJ or generate 0.0% return on investment in STORJ over 90 days. STORJ is related to or competes with Staked Ether, EigenLayer, Morpho, and DIA. STORJ is peer-to-peer digital currency powered by the Blockchain technology.
STORJ 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 STORJ'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 STORJ upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.07) | |||
| Maximum Drawdown | 52.08 | |||
| Value At Risk | (13.33) | |||
| Potential Upside | 9.09 |
STORJ Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for STORJ's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as STORJ's standard deviation. In reality, there are many statistical measures that can use STORJ historical prices to predict the future STORJ's volatility.| Risk Adjusted Performance | (0.04) | |||
| Jensen Alpha | (0.30) | |||
| Total Risk Alpha | (1.10) | |||
| Treynor Ratio | 0.217 |
STORJ 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 | (0.04) | |||
| Market Risk Adjusted Performance | 0.227 | |||
| Mean Deviation | 4.19 | |||
| Coefficient Of Variation | (1,661) | |||
| Standard Deviation | 7.16 | |||
| Variance | 51.22 | |||
| Information Ratio | (0.07) | |||
| Jensen Alpha | (0.30) | |||
| Total Risk Alpha | (1.10) | |||
| Treynor Ratio | 0.217 | |||
| Maximum Drawdown | 52.08 | |||
| Value At Risk | (13.33) | |||
| Potential Upside | 9.09 | |||
| Skewness | 1.17 | |||
| Kurtosis | 7.16 |
STORJ Backtested Returns
STORJ owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0628, which indicates digital coin had a -0.0628 % return per unit of standard deviation over the last 3 months. STORJ exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate STORJ's variance of 51.22, and Risk Adjusted Performance of (0.04) to confirm the risk estimate we provide. The entity has a beta of -2.03, which indicates a somewhat significant risk relative to the market. As returns on the market increase, returns on owning STORJ are expected to decrease by larger amounts. On the other hand, during market turmoil, STORJ is expected to outperform it.
Auto-correlation | 0.58 |
Modest predictability
STORJ has modest predictability. Overlapping area represents the amount of predictability between STORJ 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 STORJ price movement. The serial correlation of 0.58 indicates that roughly 58.0% of current STORJ price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.58 | |
| Spearman Rank Test | 0.3 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
STORJ 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.
STORJ 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 STORJ across different markets.
About STORJ 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 STORJ 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 STORJ based on its technical analysis. In general, a bottom-up approach, as applied to this cryptocurrency, focuses on STORJ price pattern first instead of the macroeconomic environment surrounding STORJ. By analyzing daily price indicators and various types of growth rates, we attempt to find the most accurate representation of STORJ'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 STORJ specific price patterns or momentum indicators.
STORJ February 23, 2026 Technical Indicators
Most technical analysis of STORJ 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 STORJ from various momentum indicators to cycle indicators. When you analyze STORJ 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 | (0.04) | |||
| Market Risk Adjusted Performance | 0.227 | |||
| Mean Deviation | 4.19 | |||
| Coefficient Of Variation | (1,661) | |||
| Standard Deviation | 7.16 | |||
| Variance | 51.22 | |||
| Information Ratio | (0.07) | |||
| Jensen Alpha | (0.30) | |||
| Total Risk Alpha | (1.10) | |||
| Treynor Ratio | 0.217 | |||
| Maximum Drawdown | 52.08 | |||
| Value At Risk | (13.33) | |||
| Potential Upside | 9.09 | |||
| Skewness | 1.17 | |||
| Kurtosis | 7.16 |
STORJ 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 STORJ 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 | 0.04 | ||
| Daily Balance Of Power | (0.58) | ||
| Rate Of Daily Change | 0.98 | ||
| Day Median Price | 0.10 | ||
| Day Typical Price | 0.10 | ||
| Price Action Indicator | 0.00 | ||
| Market Facilitation Index | 0 |
Check out World Market Map to better understand how to build diversified portfolios, which includes a position in STORJ. Also, note that the market value of any cryptocurrency could be closely tied with the direction of predictive economic indicators such as signals in bureau of economic analysis. You can also try the Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.