Image of PYTH
PYTHPyth Network
$0.07248
-0.37%
1D

Pyth Network Analysis

Investment Score
A quick view into Pyth Network's investment prospects.
7.4

The asset looks technically constructive, but the current entry quality is not perfect.

What is helping
  • The current level still offers a favorable reward-to-risk profile.
  • Doji pattern detected: the market is indecisive after the recent move, which can support a reversal if confirmation follows.
Main risks
  • ATR percentile is elevated, which signals a noisier market and a higher chance of sharp swings.
  • Price is trading below the volume-weighted average, which suggests the move is losing volume-backed support.
Market State Summary
Current regime
Bull Volatile
Confidence: 76%
Why this state?
  • PYTH is above SMA50
  • SMA50 is above SMA200
  • SMA50 slope is positive over the last 10 days
  • 30-day return is negative
  • ATR volatility is above the 60th percentile of its trailing 180-day history
Suggested strategy

In the current Bull Volatile regime, the best-fit approach is Follow the trend, but tighten risk control. The broader trend is still bullish, but price swings are wider and less forgiving, so the upside bias remains intact while execution and risk control need to be tighter.

Trend
Bullish
PYTH is trading above key moving averages and the medium-term trend is still rising.
Momentum
Neutral
RSI is 47.15, which is neither overbought nor oversold.
Volatility
Volatile
PYTH ATR volatility is above the 60th percentile of its trailing 180-day history.
Key Levels
Resistance zone
$0.09516 - $0.1113
Active zone
$0.06728 - $0.09208
Support zone
$0.02557 - $0.06559
Chart Patterns
SMA50
SMA100
SMA200
RSI
Neutral
MACD
Bearish
ATR%
Volatile
Volume
Low
Support & Resistance

Pyth Network support and resistance levels highlight key price zones where buyers and sellers are most active. This section helps identify likely breakout areas, pullback support, overhead resistance, and the current trading range so you can evaluate trend continuation, reversal risk, and near-term crypto price direction.

Support zone
$0.02557 - $0.06559
Resistance zone
$0.09516 - $0.1113
Active zone
$0.06728 - $0.09208
Levels Table
LevelZoneStrength
Support 1$0.02557 - $0.06559
Resistance 1$0.09516 - $0.1113
Resistance 2$0.1139 - $0.1422
Resistance 3$0.1652 - $0.1813
Resistance 4$0.3334 - $0.3429
Active 1$0.06728 - $0.09208
Scenario Analysis
Bullish scenario

PYTH clears the resistance zone at $0.09516 - $0.1113 and holds above it. That would strengthen the breakout case and shift attention to $0.1139 - $0.1422.

Bearish scenario

PYTH loses the support zone at $0.02557 - $0.06559. That would weaken the setup and open the way toward $0.02557 - $0.06559.

Neutral scenario

PYTH continues trading between $0.06559 and $0.09516. In that case, range-trading conditions remain active.

Technical Indicators

Technical indicators help summarize trend, momentum, volatility, and key price levels. They should not be used in isolation, but they can help identify whether a coin is trending, ranging, overextended, or approaching an important support or resistance level.

IndicatorValueSignalInterpretation
SMA50
$0.07123
Bullish
PYTH is trading above the 50-day average.
SMA200
$0.05057
Bullish
PYTH remains above the long-term trend line.
EMA50
$0.07099
Bullish
PYTH is holding above the 50-day exponential average, which supports the recent trend.
EMA200
$0.05924
Bullish
PYTH is above the 200-day exponential average, which keeps the longer-term structure constructive.
RSI (14)
47.15
Neutral
RSI (14) is at 47.15, which keeps momentum in a balanced range.
Stoch RSI (14)
10.12
Oversold
Stoch RSI (14) is low at 10.12, which shows momentum is pressing near its recent lower extreme.
MACD
0.00003219
Bearish
MACD is below its signal line.
ATR
10.05%
Volatile
Volatility is above its 180-day median.
VWMA
$0.08117
Bearish
Price is below the volume-weighted average.
Commodity Channel Index (20)
-81.32
Neutral
CCI (20) is at -81.32, which keeps price relatively close to its recent average.
Awesome Oscillator (5, 34)
$-0.005830
Bearish
Awesome Oscillator is below zero at $-0.005830, which supports bearish momentum.
Williams Percent Range (14)
-82.54
Oversold
Williams Percent Range (14) is near the bottom of its recent range at -82.54.
Bull Bear Power (13)
$-0.002298
Bearish
Bull Bear Power (13) is negative at $-0.002298, which suggests sellers are controlling price relative to the EMA baseline.
Ultimate Oscillator (7, 14, 28)
47.30
Neutral
Ultimate Oscillator is at 47.30, which suggests momentum is balanced across its short, medium, and long windows.
Hull Moving Average (9)
$0.07339
Bearish
PYTH is trading below the Hull Moving Average (9), which weakens the near-term trend.
Ichimoku Cloud B/L (9, 26, 52, 26)
$0.08363
Bearish
PYTH is trading below the Ichimoku base line, which points to weaker structure.
Assets Similar to Pyth Network

Over the past 7 days, Pyth Network price was most positively correlated with the price of Injective (INJ), Uniswap (UNI), Raydium (RAY), Polygon Ecosystem Token (POL) and Celestia (TIA) and most negatively correlated with the price of Beldex (BDX), Dash (DASH), JUST (JST), LEO Token (LEO) and Pepe Coin (PEPE).

Positively Correlated Currencies
NameCorrelation
Image of InjectiveInjective0.868
Image of UniswapUniswap0.860
Image of RaydiumRaydium0.832
Image of Polygon Ecosystem TokenPolygon Ecosystem Token0.817
Image of CelestiaCelestia0.813
Negatively Correlated Currencies
NameCorrelation
Image of BeldexBeldex-0.357
Image of DashDash-0.078
Image of JUSTJUST-0.066
Image of LEO TokenLEO Token0.037
Image of Pepe CoinPepe Coin0.144

Pyth Network price is positively correlated with the top 10 coins by market cap with a price of 0.631, excluding Tether (USDT) and positively correlated with the top 100 coins by market cap excluding all stablecoins with a price of 0.599. Currencies that are positively correlated with Pyth Network indicate that the movement of one has a statistically significant weight to lead the other in the same direction. For currencies that are negatively correlated with Pyth Network, a move in one direction for Pyth Network would translate into a move in the opposite direction for the negatively correlated coin.

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