What technical signals does CoinSeekly track for Pyth Network (PYTH)?

We scan PYTH's daily chart for RSI overbought and oversold readings, MACD bullish and bearish crosses, the 50/200-day golden and death cross, moving-average trend, chart patterns, and unusual volume. The current reading for each is shown on this page, and you can watch every signal update live in the screener.

Is Pyth Network a good investment?

CoinSeekly does not give investment advice. What we provide is objective, back-tested data — how PYTH's technical signals have actually performed in the past, and what they are showing right now. Treat it as one input alongside your own research and risk tolerance, and never invest more than you can afford to lose.

Where can I see live PYTH price and analysis?

Open PYTH in our screener for real-time price, technical indicators, rule-based chart patterns, and signal alerts you can route to email or Telegram.

Pyth Network (PYTH)

Rank #99 by market cap

Open in screener

Price: $0.0676
24h: +4.0%
7d: +3.6%
Market cap: $532.3M

PYTH signals right now

Bearish

Setup score

How Pyth Network's current technicals add up

-13

−1000+100

Helping

Bullish pattern+17

Weighing down

MACD bearish-15
Downtrend (below MA50)-15

RSI (14)46 · neutral

MACDbearish

Trenddown

PatternBullish Engulfing

Current technical state from Pyth Network's daily chart, refreshed regularly. Open the live PYTH chart for real-time updates and alerts.

About Pyth Network

Pyth Network (PYTH) is the 99th-largest cryptocurrency by market capitalization among the assets CoinSeekly tracks. It is commonly grouped under Infrastructure, Decentralized Finance (DeFi), Oracle.

This page follows Pyth Network's live market data and the technical signals our screener detects on its daily chart — RSI momentum, MACD crossovers, moving-average trend, and the classic 50/200-day golden and death cross. Below you'll find PYTH's current signal state and a back-tested record of how those signals have historically performed on Pyth Network.

How PYTH's signals have performed

We back-tested our signals on 2.8 years of Pyth Network daily price history — firing each on its trigger bar and measuring the move 7 and 30 days later. Bullish signals returned +1.6% over 30 days vs -2.6% for simply holding — a +4.2% edge.

Signal

Fired

Win 30d

Avg 30d

MACD bullish cross

Fired 42

Win 43%

Avg -4.3%

MACD bearish cross

Fired 42

Win 62%

Avg +1.6%

RSI oversold

Fired 16

Win 63%

Avg +10.6%

RSI overbought

Fired 12

Win 67%

Avg +12.4%

Golden cross

Fired 4

Win 75%

Avg +28.0%

Death cross

Fired 3

Win 67%

Avg -6.8%

Buy & hold PYTH — any random day

Avg 30d -2.6%

Full signal track record across all coins

Historical back-test of mechanical signal rules — no fees or slippage modelled, and past performance doesn't predict the future. Educational, not financial advice.

Pyth Network FAQ

What technical signals does CoinSeekly track for Pyth Network (PYTH)?: We scan PYTH's daily chart for RSI overbought and oversold readings, MACD bullish and bearish crosses, the 50/200-day golden and death cross, moving-average trend, chart patterns, and unusual volume. The current reading for each is shown on this page, and you can watch every signal update live in the screener.
Is Pyth Network a good investment?: CoinSeekly does not give investment advice. What we provide is objective, back-tested data — how PYTH's technical signals have actually performed in the past, and what they are showing right now. Treat it as one input alongside your own research and risk tolerance, and never invest more than you can afford to lose.
Where can I see live PYTH price and analysis?: Open PYTH in our screener for real-time price, technical indicators, rule-based chart patterns, and signal alerts you can route to email or Telegram.

Disclaimer: The content on this page is for educational purposes only and does not constitute financial advice. Cryptocurrency markets are volatile. Always do your own research and never invest more than you can afford to lose. See our methodology for details on how we generate analysis.