Graph Technical Analysis
| GRT Crypto | USD 0.03 0 8.48% |
As of the 1st of February, Graph retains the Risk Adjusted Performance of (0.11), market risk adjusted performance of (12.84), and Standard Deviation of 5.76. Graph technical analysis makes it possible for you to employ historical prices and volume momentum with the intention to determine a pattern that calculates the direction of the entity's future prices.
Graph Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Graph, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to GraphGraph |
Graph '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 Graph'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 Graph.
| 11/03/2025 |
| 02/01/2026 |
If you would invest 0.00 in Graph on November 3, 2025 and sell it all today you would earn a total of 0.00 from holding The Graph or generate 0.0% return on investment in Graph over 90 days. Graph is related to or competes with Staked Ether, EigenLayer, Morpho, and DIA. The Graph is peer-to-peer digital currency powered by the Blockchain technology.
Graph 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 Graph'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 The Graph upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.17) | |||
| Maximum Drawdown | 39.44 | |||
| Value At Risk | (8.48) | |||
| Potential Upside | 7.24 |
Graph Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Graph's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Graph's standard deviation. In reality, there are many statistical measures that can use Graph historical prices to predict the future Graph's volatility.| Risk Adjusted Performance | (0.11) | |||
| Jensen Alpha | (0.92) | |||
| Total Risk Alpha | (1.19) | |||
| Treynor Ratio | (12.85) |
Graph February 1, 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 | (0.11) | |||
| Market Risk Adjusted Performance | (12.84) | |||
| Mean Deviation | 4.02 | |||
| Coefficient Of Variation | (635.25) | |||
| Standard Deviation | 5.76 | |||
| Variance | 33.14 | |||
| Information Ratio | (0.17) | |||
| Jensen Alpha | (0.92) | |||
| Total Risk Alpha | (1.19) | |||
| Treynor Ratio | (12.85) | |||
| Maximum Drawdown | 39.44 | |||
| Value At Risk | (8.48) | |||
| Potential Upside | 7.24 | |||
| Skewness | 0.9317 | |||
| Kurtosis | 4.93 |
Graph Backtested Returns
Graph holds Efficiency (Sharpe) Ratio of -0.14, which attests that digital coin had a -0.14 % return per unit of risk over the last 3 months. Graph exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Graph's Market Risk Adjusted Performance of (12.84), standard deviation of 5.76, and Risk Adjusted Performance of (0.11) to validate the risk estimate we provide. The crypto retains a Market Volatility (i.e., Beta) of 0.0713, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Graph's returns are expected to increase less than the market. However, during the bear market, the loss of holding Graph is expected to be smaller as well.
Auto-correlation | 0.23 |
Weak predictability
The Graph has weak predictability. Overlapping area represents the amount of predictability between Graph time series from 3rd of November 2025 to 18th of December 2025 and 18th of December 2025 to 1st 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 Graph price movement. The serial correlation of 0.23 indicates that over 23.0% of current Graph price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.23 | |
| Spearman Rank Test | 0.26 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Graph 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.
Graph 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 Graph volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Graph 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 The Graph 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 The Graph based on its technical analysis. In general, a bottom-up approach, as applied to this cryptocurrency, focuses on Graph price pattern first instead of the macroeconomic environment surrounding Graph. By analyzing daily price indicators and various types of growth rates, we attempt to find the most accurate representation of Graph'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 Graph specific price patterns or momentum indicators.
Graph February 1, 2026 Technical Indicators
Most technical analysis of Graph 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 Graph from various momentum indicators to cycle indicators. When you analyze Graph 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 | (0.11) | |||
| Market Risk Adjusted Performance | (12.84) | |||
| Mean Deviation | 4.02 | |||
| Coefficient Of Variation | (635.25) | |||
| Standard Deviation | 5.76 | |||
| Variance | 33.14 | |||
| Information Ratio | (0.17) | |||
| Jensen Alpha | (0.92) | |||
| Total Risk Alpha | (1.19) | |||
| Treynor Ratio | (12.85) | |||
| Maximum Drawdown | 39.44 | |||
| Value At Risk | (8.48) | |||
| Potential Upside | 7.24 | |||
| Skewness | 0.9317 | |||
| Kurtosis | 4.93 |
Graph February 1, 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 Graph 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 | 0.18 | ||
| Daily Balance Of Power | (0.47) | ||
| Rate Of Daily Change | 0.92 | ||
| Day Median Price | 0.03 | ||
| Day Typical Price | 0.03 | ||
| Price Action Indicator | 0.00 | ||
| Market Facilitation Index | 0.01 |
Check out Risk vs Return Analysis to better understand how to build diversified portfolios, which includes a position in The Graph. Also, note that the market value of any cryptocurrency could be closely tied with the direction of predictive economic indicators such as various price indices. You can also try the Portfolio File Import module to quickly import all of your third-party portfolios from your local drive in csv format.