pyth

#PYTH $PYTH

Pyth Network is currently forming a descending channel on the 3D chart

Volume is decreasing, suggesting an explosive move is approaching📈

$PYTH Launches Massive Token Buyback Program!

Pyth Network has announced a new mechanism: 100% of the revenue generated by the DAO through Pyth products will now be directed toward buying back $PYTH tokens on the open market. This directly ties the project’s business growth to sustained demand for its native token.
In September, Pyth’s annualized revenue reached $11.5 million, marking an 86% quarterly increase. As protocol adoption expands, buyback volumes could scale accordingly.
I would consider dollar-cost averaging (DCA) in small tranches as the project continues to strengthen its position in financial data infrastructure.
Token buybacks do not guarantee immediate upward price momentum, as broader market conditions, token supply dynamics, and organic demand remain decisive factors.
#PYTH #pump #InvestSmart

$PYTH /$CHIP /$AXS 30-minute bullish bias, short-term confluence🔥

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🔴 $PYTH 30-minute bullish signal
⚠️Technical: The ADX trend is forming—an opportunity to enter; MACD has a bullish golden cross with rising volume, breaking above the zero line; moving averages are about to fan upward, and the direction should soon become clear; K has crossed above D without being overbought, favoring the bulls; volume is 1.5× higher.
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🔴 $CHIP 30-minute bullish signal
⚠️Technical: ADX at 27, trend just starting—tradable｜MACD golden cross above zero, red histogram expanding｜moving averages have just formed a bullish alignment｜KDJ not overbought｜volume up 7×
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🔴 $AXS 30-minute bullish signal
⚠️Technical: The trend is very clear. After the MACD golden cross, the red histogram is expanding; moving averages have just formed a bullish alignment, and volume is 1.7× higher.
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🔔 Follow for the latest market movements 🔔
#技术分析 #PYTH #CHIP #AXS
📌 When trading, pay attention to whether the candlestick pattern confirms the setup

🔻 $PYTH BEARISH CONTINUATION SETTING UP AS SELLERS DEFEND THE REJECTION ZONE! 📉

Entry: 0.07817–0.07837 ⚡
Target: 0.07767 / 0.07737 / 0.07023 🚀
Stop Loss: 0.07876 ⚠️

Sellers are actively pressing down on the 1H timeframe for $PYTH as lower highs keep locking in overhead supply. 📉 Market structure continues to favor a clean downside expansion once lower support breaks down, but disciplined execution requires waiting for explicit trigger confirmation. 🔍

With downside potential reaching toward deep lower targets, keeping this setup strictly on the watchlist allows us to capture the move once momentum aligns. 📊 Are you waiting for structural breakdown confirmation before shorting or staying on the sidelines? 👇

⚠️ Not financial advice. Always manage your risk. 🛡️

🏷️ #PYTH #ShortSetup #Crypto #Trading #Bearish

🔻 🐻

Friends, this is a must-know: the two types of oracles!
Pull-based oracles keep signed price data off-chain. When an app makes a transaction, it submits the price data along with it, and the on-chain contract only uses it after verifying the signature.
With pull-based oracles, data is only put on-chain when needed, so prices can be updated more promptly. But apps need to check for themselves whether the price is too old; otherwise, they may end up using outdated prices.
$PYTH is the token of Pyth, an oracle network that uses a pull-based design. Current price: 0.07836.
Save this for later and take a closer look 👇

#PYTH

Price swings can be significant, so use leverage responsibly.

Pyth Research Report: Q3 recurring revenue reached $11.49 million, up 86.5% quarter over quarter; DAO approves the “100% rule” for full PYTH buybacks
I have a habit of saving news when I see it, then checking back at night to see how the price moved. That adds another brick to the narrative, but the price needs real buying pressure for it to count.
$PYTH 0.08041

#PYTH

This is not financial advice. Trade at your own risk.

Who submits on-chain price feeds? A lot of people can’t explain it clearly!
Chainlink Data Feeds are mainly push-based: a group of independent nodes aggregates price quotes and writes them on-chain.
Pull-based feeds are brought on-chain only when needed, so prices can be updated more promptly. But applications have to check for themselves whether a price is stale; otherwise, they might end up using an outdated price.
If you don’t understand something, don’t take a large position in it yet. It’s safer to practice with a small amount.
$PYTH 0.07813（-8.28%）

#PYTH

Just a casual note—make your own decisions about what to do.

Blockchain industry | Who writes price feeds on-chain?
Push-based price feeds generally update when price movements exceed a set threshold or when a fixed heartbeat interval is reached.
Pull-based feeds are posted on-chain only when needed. Prices can be updated more promptly, but applications need to check for themselves whether a price is too stale; otherwise, they may use an outdated price.
$PYTH is the token of Pyth, an oracle network that uses a pull-based design. Currently: 0.07842.
Invest according to your own risk tolerance, and leave yourself plenty of room.

#PYTH

Market conditions change quickly. Make your own decisions.

$PYTH : 100% BUYBACKS… SO WHY THE VOLATILITY? 👀
Pyth DAO’s new rule directs all eligible protocol revenue toward $PYTH buybacks, sparking bullish excitement! 🔥 But after a strong monthly rally, profit-taking and valuation concerns are keeping the price action unpredictable.
📈 The narrative is promising, but I’d wait for confirmation before buying rather than chase the hype.
👇 Are you buying the $PYTH dip or expecting more downside?
#BinanceSquare #PYTH

That's intense!

🚨 $PYTH Long signal triggered

🟢 Strategy: CHAN | 4h | Score: 87
💎 Current price: 0.079160
🎯 Entry: 0.077370
🛑 Stop loss: 0.069879
💰 Take profit: 0.085750

⚖️ Risk-reward ratio: 1.12 : 1

#PYTH #梭哈 #交易信号 #币圈 #Three Buys, Three Sells

Do prices in contracts update automatically from time to time, or are they fetched only when needed?
My understanding is that either way, the diversity of price sources and the independence of nodes or publishers determine how difficult it is to manipulate or compromise the price feed.
Pull-based oracles store signed prices off-chain, and the application submits the price along with the transaction. The on-chain contract uses it only after verifying the signature.
$PYTH and $LINK are the tokens of the oracle networks Pyth and Chainlink, respectively.

#PYTH

This is not a recommendation to buy or sell. You are responsible for any gains or losses.

🟢 $PYTH — FUTURES LONG | Recovery Setup 📈

📍 Entry Zone: 0.0780–0.0788
🛑 Stop Loss: 0.0760
🎯 TP1: 0.0800
🎯 TP2: 0.0825
🎯 TP3: 0.0850

⚡ Leverage: 10x–20x
💰 Risk Management: Use only 1–2% of total capital.

📊 Technical Context:
• Recovered strongly from 0.07032.
• Price is testing the Bollinger middle band (0.07846).
• Resistance near 0.0800 and 0.0842.
• Wait for bullish confirmation above 0.0788 before entering.

⚠️ If PYTH loses 0.0760, reassess the LONG setup.

Trade $PYTH Here 👇


#PYTH #CryptoTrading #FuturesTrading #BinanceSquare #LongSetup

Let's talk about the two oracle models:
Each Pyth price feed comes with a confidence interval, which indicates the degree of disagreement among quotes from multiple publishers.
The advantage of the push model is that contracts can use the data right away. The trade-off is that the oracle network must continuously pay gas to push updates, so the update frequency can't be increased arbitrarily.
$PYTH 0.07873（-7.76%）

#PYTH

The above is compiled from publicly available information. Please verify it independently.

Two models for oracles:
Each Pyth price feed includes a confidence interval, which can indicate the degree of disagreement among quotes from different publishers.
Regardless of the model, the diversity of quote sources and the independence of nodes or publishers affect how difficult it is to manipulate a price feed or cause errors.
$PYTH 0.0787（-7.79%）

#PYTH

Personal notes; not investment advice.

🚨 $PYTH WATCHLIST ALERT: BEARISH CONTINUATION STRUCTURE FORMING ON 1H CHART! 🐻

Entry: 0.07817 - 0.07837 ⚡
Target: 0.07023 🎯
Stop Loss: 0.07876 ⚠️

$PYTH is exhibiting early signs of institutional distribution on the 1H timeframe, setting up potential downward continuation into lower liquidity pools. 📊 While the lower timeframes suggest ongoing structural weakness, expected-value metrics remain tight, making strict confirmation essential before executing any position.

🔍 Smart money is monitoring the supply zone around 0.07817–0.07837 for a high-probability rejection, targeting efficiency sweeps down to 0.07023. 📌 Discipline remains paramount—patience for structural confirmation will separate profitable executions from prematurely triggered trades. 💬 Are you waiting for a clean sweep of supply or jumping into short setups early? 👇

⚠️ Not financial advice. Always manage your risk. 🛡️

🏷️ #PYTH #ShortSetup #Trading #Crypto #MarketStructure

🎯 🦈

I only learned this lesson the hard way, after losing money.
Pyth Network uses a pull-based design, with prices submitted by first-party publishers such as trading firms and market makers.
In either model, how diverse the price sources are and how independent the nodes or publishers are determine how difficult it is to manipulate prices or cause errors.
$PYTH and $LINK are the tokens of the oracle networks Pyth and Chainlink, respectively.
What would you like to hear about next? DeFi or something else?

#PYTH

Opinions can be wrong at any time. Please manage your own gains and losses.

Do prices in a contract update automatically from time to time, or are they fetched only when needed?
It’s worth understanding the two oracle models.
With pull-based oracles, prices are updated on-chain on demand. This can keep prices more up to date, but applications need to check whether a price is stale; otherwise, they may read an outdated price.
Verify information from multiple sources before acting—don’t rely on just one source.
$PYTH and $LINK are the tokens of the oracle networks Pyth and Chainlink, respectively.

#PYTH

Make your own decisions when buying or selling; don’t follow the crowd.

Who writes price feeds on-chain?
Pyth Network uses a pull-based design, with prices submitted by first-party publishers such as trading firms and market makers. Chainlink Data Feeds are representative of a push-based model, in which a group of independent nodes aggregate quotes and write them on-chain.
The advantage of the push-based model is that contracts can use the data straight away. The trade-off is that the oracle network must continuously pay gas to push updates, so the update frequency cannot be increased arbitrarily.
$PYTH is the token of Pyth, a pull-based oracle network.

#PYTH

The above is compiled from public information. Please refer to the original text.

$PYTH #PYTH 【PYTH·Bearish】PYTHUSDT Current price: 0.0784, 24h: -8.4%, 24h trading volume: 5.25 million. Bearish rationale: down 10% from the 7-day high of 0.0875; current price is at the 47% midpoint of the 7-day range; aggressive buyers account for only 48% of 24h activity, with selling pressure dominant. Key levels: entry 0.0800 (bounce level), stop loss 0.0875, target 0.0687.
Data source: BinanceSkillsHub. For reference only; this is not investment advice.

Let’s talk about the two oracle models.
Every Pyth price feed includes a confidence interval that reflects the degree of disagreement among publishers’ quotes.
Honestly, I only learned this later: when using pull-based price feeds in DeFi applications, you need to check the feed’s update time and confidence interval. Don’t use a feed directly if it’s too old or the interval is too wide.
$PYTH and $LINK are the tokens of the oracle networks Pyth and Chainlink, respectively.
Don’t put all your funds into a single project.

#PYTH

NFA, DYOR.