Pyth Network Technical Analysis
| PYTH Crypto | USD 0.05 0.0001 0.20% |
As of the 5th of February, Pyth Network holds the Variance of 31.62, risk adjusted performance of (0.1), and Coefficient Of Variation of (681.80). Compared to fundamental indicators, the technical analysis model allows you to check existing technical drivers of Pyth Network, as well as the relationship between them.
Pyth Network Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Pyth, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to PythPyth |
Pyth Network '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 Pyth Network'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 Pyth Network.
| 11/07/2025 |
| 02/05/2026 |
If you would invest 0.00 in Pyth Network on November 7, 2025 and sell it all today you would earn a total of 0.00 from holding Pyth Network or generate 0.0% return on investment in Pyth Network over 90 days. Pyth Network is related to or competes with XRP, Solana, Hyperliquid, TRON, Staked Ether, WhiteBIT Token, and World Liberty. Pyth Network is peer-to-peer digital currency powered by the Blockchain technology.
Pyth Network 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 Pyth Network'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 Pyth Network upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.16) | |||
| Maximum Drawdown | 37.38 | |||
| Value At Risk | (8.29) | |||
| Potential Upside | 7.01 |
Pyth Network Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Pyth Network's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Pyth Network's standard deviation. In reality, there are many statistical measures that can use Pyth Network historical prices to predict the future Pyth Network's volatility.| Risk Adjusted Performance | (0.1) | |||
| Jensen Alpha | (0.84) | |||
| Total Risk Alpha | (1.25) | |||
| Treynor Ratio | (9.49) |
Pyth Network February 5, 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 | (0.1) | |||
| Market Risk Adjusted Performance | (9.48) | |||
| Mean Deviation | 4.07 | |||
| Coefficient Of Variation | (681.80) | |||
| Standard Deviation | 5.62 | |||
| Variance | 31.62 | |||
| Information Ratio | (0.16) | |||
| Jensen Alpha | (0.84) | |||
| Total Risk Alpha | (1.25) | |||
| Treynor Ratio | (9.49) | |||
| Maximum Drawdown | 37.38 | |||
| Value At Risk | (8.29) | |||
| Potential Upside | 7.01 | |||
| Skewness | 0.8841 | |||
| Kurtosis | 3.51 |
Pyth Network Backtested Returns
Pyth Network maintains Sharpe Ratio (i.e., Efficiency) of -0.2, which implies digital coin had a -0.2 % return per unit of risk over the last 3 months. Pyth Network exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Pyth Network's Risk Adjusted Performance of (0.1), coefficient of variation of (681.80), and Variance of 31.62 to confirm the risk estimate we provide. The crypto holds a Beta of 0.088, which implies not very significant fluctuations relative to the market. As returns on the market increase, Pyth Network's returns are expected to increase less than the market. However, during the bear market, the loss of holding Pyth Network is expected to be smaller as well.
Auto-correlation | 0.22 |
Weak predictability
Pyth Network has weak predictability. Overlapping area represents the amount of predictability between Pyth Network time series from 7th of November 2025 to 22nd of December 2025 and 22nd of December 2025 to 5th 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 Pyth Network price movement. The serial correlation of 0.22 indicates that over 22.0% of current Pyth Network price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.22 | |
| Spearman Rank Test | 0.29 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Pyth Network 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.
Pyth Network 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 Pyth Network volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Pyth Network 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 Pyth Network 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 Pyth Network based on its technical analysis. In general, a bottom-up approach, as applied to this cryptocurrency, focuses on Pyth Network price pattern first instead of the macroeconomic environment surrounding Pyth Network. By analyzing daily price indicators and various types of growth rates, we attempt to find the most accurate representation of Pyth Network'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 Pyth Network specific price patterns or momentum indicators.
Pyth Network February 5, 2026 Technical Indicators
Most technical analysis of Pyth 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 Pyth from various momentum indicators to cycle indicators. When you analyze Pyth 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 | (0.1) | |||
| Market Risk Adjusted Performance | (9.48) | |||
| Mean Deviation | 4.07 | |||
| Coefficient Of Variation | (681.80) | |||
| Standard Deviation | 5.62 | |||
| Variance | 31.62 | |||
| Information Ratio | (0.16) | |||
| Jensen Alpha | (0.84) | |||
| Total Risk Alpha | (1.25) | |||
| Treynor Ratio | (9.49) | |||
| Maximum Drawdown | 37.38 | |||
| Value At Risk | (8.29) | |||
| Potential Upside | 7.01 | |||
| Skewness | 0.8841 | |||
| Kurtosis | 3.51 |
Pyth Network February 5, 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 Pyth 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 | 54,045 | ||
| Daily Balance Of Power | 0.17 | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 0.05 | ||
| Day Typical Price | 0.05 | ||
| Price Action Indicator | 0.00 |
Check out Your Equity Center to better understand how to build diversified portfolios, which includes a position in Pyth Network. 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 Crypto Correlations module to use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins.