SPACE Technical Analysis
| ID Crypto | USD 0.04 -0.0009 -2.14% |
As of the 11th of March 2026, the last recorded price for SPACE is 0.04 per share. Primary technical drivers reflect risk adjusted performance of -0.05, and Standard Deviation of 8.22. Quantitative analysis incorporates volatility metrics and price behavior to assess directional bias. Metrics are compared to industry averages to assess relative positioning.
SPACE Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as SPACE, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SPACESPACE |
SPACE 'What if' Analysis
Running a what-if backtest on SPACE gives investors a practical way to test how changes in horizon, position size, or market timing might have affected the result. Used properly, this review helps investors decide whether SPACE's historical reward profile was stable enough to support the current thesis.
| 12/11/2025 |
| 03/11/2026 |
If you invested 0.00 in SPACE on December 11, 2025 and closed the position today, you would earn 0.00 in aggregate gains. The change equals a 0.0% return on investment in SPACE on balance over a 90 day window.. SPACE is related to or competes with Staked Ether, EigenLayer, Allora, and DIA. Peer context can support comparative analysis. SPACE is peer-to-peer digital currency powered by the Blockchain technology.
SPACE Upside and Downside Indicators Signals
Upside and downside indicators for SPACE summarize momentum balance and potential range context for the crypto asset. The signals are presented as informational context for recent price movement.
| Information Ratio | -0.07 | |||
| Maximum Drawdown | 55.16 | |||
| Value At Risk | -14.51 | |||
| Potential Upside | 10.8 |
SPACE Market Risk Indicators Signals
Market risk indicators summarize volatility and return dispersion for SPACE. This view provides neutral context for risk and variability.| Risk Adjusted Performance | -0.05 | |||
| Jensen Alpha | -0.60 | |||
| Total Risk Alpha | -0.47 | |||
| Treynor Ratio | -0.66 |
The concept of mean reversion suggests that SPACE's price will eventually return toward its long-run average. High prices may deter value investors, while unusually low prices often attract buyers who anticipate a recovery.
SPACE Technical Indicators
| Cycle Indicators | ||
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| Math Transform | ||
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| Pattern Recognition | ||
| Price Transform | ||
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| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | -0.05 | |||
| Market Risk Adjusted Performance | -0.65 | |||
| Mean Deviation | 5.22 | |||
| Coefficient Of Variation | -1,372 | |||
| Standard Deviation | 8.22 | |||
| Variance | 67.49 | |||
| Information Ratio | -0.07 | |||
| Jensen Alpha | -0.60 | |||
| Total Risk Alpha | -0.47 | |||
| Treynor Ratio | -0.66 | |||
| Maximum Drawdown | 55.16 | |||
| Value At Risk | -14.51 | |||
| Potential Upside | 10.8 | |||
| Skewness | 0.043 | |||
| Kurtosis | 3.62 |
SPACE Backtested Returns
Over the selected 3 months, SPACE demonstrates an exceptional volatility. It exhibits a Sharpe Ratio (Efficiency) of -0.0654, indicating negative risk-adjusted returns over the last 3 months. Technical screening detected twenty-four indicators influencing risk dynamics. Please analyze metrics such as risk-adjusted performance of -0.05, and standard deviation of 8.22 to assess dispersion and downside exposure. The crypto owns a Beta (Systematic Risk) of 0.92, which conveys possible diversification benefits within a given portfolio. SPACE returns are very sensitive to returns on the market. As the market goes up or down, SPACE is expected to follow.
Auto-correlation | -0.17 |
Insignificant reverse predictability
SPACE exhibits insignificant reverse predictability. Autocorrelation measures the degree of predictability between SPACE time series from 11th of December 2025 to 25th of January 2026 and from 25th of January 2026 to 11th of March 2026. The stronger the relationship between the current interval and its lagged values, the more accurately future price behavior of SPACE may be projected. A serial correlation of -0.17 indicates that over 17.0% of current SPACE price fluctuations can be explained by its historical price movements. Given that SPACE has negative autocorrelation for the selected time horizon, market participants may evaluate potential contrarian price behavior over comparable future intervals.
| Correlation Coefficient | -0.17 | |
| Spearman Rank Test | -0.29 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
SPACE technical crypto coin analysis uses price and volume transformations to study behavior. The model references moving averages, relative strength, and price correlation signals.
SPACE 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 SPACE volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About SPACE Technical Analysis
Technical analysis of SPACE evaluates venue price structure, momentum, and volatility clustering in fragmented markets. Volume and liquidity conditions influence signal reliability. Lower liquidity may increase execution variability.
Unless otherwise specified, financial data for SPACE is derived from periodic company reporting (annual and quarterly where available). Asset-level metrics are computed daily by Macroaxis LLC and refreshed regularly based on asset type. Updates may occur throughout the day.
SPACE Technical Indicators
A technical review of SPACE can improve timing discipline by comparing momentum, reversal risk, and confirmation signals across several time horizons. The stronger process confirms one signal with others instead of reacting to one pattern in isolation.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | -0.05 | |||
| Market Risk Adjusted Performance | -0.65 | |||
| Mean Deviation | 5.22 | |||
| Coefficient Of Variation | -1,372 | |||
| Standard Deviation | 8.22 | |||
| Variance | 67.49 | |||
| Information Ratio | -0.07 | |||
| Jensen Alpha | -0.60 | |||
| Total Risk Alpha | -0.47 | |||
| Treynor Ratio | -0.66 | |||
| Maximum Drawdown | 55.16 | |||
| Value At Risk | -14.51 | |||
| Potential Upside | 10.8 | |||
| Skewness | 0.043 | |||
| Kurtosis | 3.62 |
SPACE March 11, 2026 Daily Trend Indicators
A technical review of SPACE can improve timing discipline by comparing momentum, reversal risk, and confirmation signals across several time horizons. The stronger process confirms one signal with others instead of reacting to one pattern in isolation.
| Accumulation Distribution | 0.03 | ||
| Daily Balance Of Power | -0.69 | ||
| Rate Of Daily Change | 0.98 | ||
| Day Median Price | 0.04 | ||
| Day Typical Price | 0.04 | ||
| Price Action Indicator | 0.00 | ||
| Market Facilitation Index | 0.0013 |
More Resources for SPACE Crypto Coin Analysis
A structured review of SPACE often starts with core financial statements and trend context. Financial ratios provide context for profitability, efficiency, and growth trends.SPACE has market cap of 947.97 K. Use Risk vs Return Analysis to explore allocation context. This includes a position in SPACE across the allocation. Also, note that the market value of any cryptocurrency could be closely tied with the direction of predictive economic indicators such as signals in services. Analysis related to SPACE should be read together with other portfolio and risk tools before capital is reallocated. That is especially important when the goal is to improve the overall mix of instruments already held. You can also try the Companies Directory module to evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals.