Spark Technical Analysis
| SPK Crypto | USD 0.02 0.0003 1.38% |
As of the 7th of February, Spark has the Coefficient Of Variation of (994.17), variance of 38.29, and Risk Adjusted Performance of (0.07). In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Spark, as well as the relationship between them.
Spark Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Spark, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SparkSpark |
Spark '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 Spark'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 Spark.
| 11/09/2025 |
| 02/07/2026 |
If you would invest 0.00 in Spark on November 9, 2025 and sell it all today you would earn a total of 0.00 from holding Spark or generate 0.0% return on investment in Spark over 90 days. Spark is related to or competes with XRP, Solana, Hyperliquid, TRON, Staked Ether, WhiteBIT Token, and World Liberty. Spark is peer-to-peer digital currency powered by the Blockchain technology.
Spark 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 Spark'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 Spark upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.12) | |||
| Maximum Drawdown | 34.36 | |||
| Value At Risk | (9.96) | |||
| Potential Upside | 12.5 |
Spark Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Spark's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Spark's standard deviation. In reality, there are many statistical measures that can use Spark historical prices to predict the future Spark's volatility.| Risk Adjusted Performance | (0.07) | |||
| Jensen Alpha | (0.57) | |||
| Total Risk Alpha | (1.24) | |||
| Treynor Ratio | 0.8274 |
Spark February 7, 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 | (0.07) | |||
| Market Risk Adjusted Performance | 0.8374 | |||
| Mean Deviation | 4.35 | |||
| Coefficient Of Variation | (994.17) | |||
| Standard Deviation | 6.19 | |||
| Variance | 38.29 | |||
| Information Ratio | (0.12) | |||
| Jensen Alpha | (0.57) | |||
| Total Risk Alpha | (1.24) | |||
| Treynor Ratio | 0.8274 | |||
| Maximum Drawdown | 34.36 | |||
| Value At Risk | (9.96) | |||
| Potential Upside | 12.5 | |||
| Skewness | 0.4847 | |||
| Kurtosis | 1.74 |
Spark Backtested Returns
Spark owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.13, which indicates digital coin had a -0.13 % return per unit of risk over the last 3 months. Spark exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Spark's Variance of 38.29, risk adjusted performance of (0.07), and Coefficient Of Variation of (994.17) to confirm the risk estimate we provide. The entity has a beta of -0.76, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Spark are expected to decrease at a much lower rate. During the bear market, Spark is likely to outperform the market.
Auto-correlation | 0.24 |
Weak predictability
Spark has weak predictability. Overlapping area represents the amount of predictability between Spark time series from 9th of November 2025 to 24th of December 2025 and 24th of December 2025 to 7th 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 Spark price movement. The serial correlation of 0.24 indicates that over 24.0% of current Spark price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.24 | |
| Spearman Rank Test | 0.17 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Spark 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.
Spark Technical Analysis
The output start index for this execution was fifty with a total number of output elements of eleven. 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 Spark volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Spark 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 Spark 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 Spark based on its technical analysis. In general, a bottom-up approach, as applied to this cryptocurrency, focuses on Spark price pattern first instead of the macroeconomic environment surrounding Spark. By analyzing daily price indicators and various types of growth rates, we attempt to find the most accurate representation of Spark'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 Spark specific price patterns or momentum indicators.
Spark February 7, 2026 Technical Indicators
Most technical analysis of Spark 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 Spark from various momentum indicators to cycle indicators. When you analyze Spark 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 | (0.07) | |||
| Market Risk Adjusted Performance | 0.8374 | |||
| Mean Deviation | 4.35 | |||
| Coefficient Of Variation | (994.17) | |||
| Standard Deviation | 6.19 | |||
| Variance | 38.29 | |||
| Information Ratio | (0.12) | |||
| Jensen Alpha | (0.57) | |||
| Total Risk Alpha | (1.24) | |||
| Treynor Ratio | 0.8274 | |||
| Maximum Drawdown | 34.36 | |||
| Value At Risk | (9.96) | |||
| Potential Upside | 12.5 | |||
| Skewness | 0.4847 | |||
| Kurtosis | 1.74 |
Spark February 7, 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 Spark 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 | 214,053 | ||
| Daily Balance Of Power | (0.75) | ||
| Rate Of Daily Change | 0.99 | ||
| Day Median Price | 0.02 | ||
| Day Typical Price | 0.02 | ||
| Price Action Indicator | 0.00 |
Check out World Market Map to better understand how to build diversified portfolios, which includes a position in Spark. Also, note that the market value of any cryptocurrency could be closely tied with the direction of predictive economic indicators such as signals in state. You can also try the Money Managers module to screen money managers from public funds and ETFs managed around the world.