marketdata

☀️ WPO DAILY MARKET — Mon 05 Oct 20:18 (GMT+4)

Total mcap: $2.90T (-0.23% 24h)
BTC dom: 59.0% | ETH: 11.3%
Fear & Greed: 70 Greed 🟩🟩🟩🟩▫️
🟠 $BTC $85,121 -0.21% | $ETH $2,695 -0.19%
Breadth: 🟢 87 (45%) 🔴 100 (52%) avg +0.44% (194 assets)

🚀 Top gainers (liquid 24h)
🟢 $RLC +53.4% $0.5548
🟢 FLUID +23.7% $2.14
🟢 CARDS +16.9% $0.2863
🟢 NIL +14.2% $0.1027
🟢 AI +11.4% $0.1247

📉 Top losers
🔴 CT -14.5% $0.4109
🔴 SAND -12.3% $0.0679
🔴 STRK -7.75% $0.0523
🔴 SOON -7.39% $0.3359
🔴 USELESS -6.42% $0.2238

🧩 Zones (24h, mcap-weighted)
🟢 AI +1.08%
🟢 MEMES +0.84%
🟢 DEFI +0.38%
🔴 GAMING -1.55%
🔴 INFRASTRUCTURE -1.07%
🔴 SOLANA -0.98%

WPO Read: Leadership is mixed and rotation is selective. Treat isolated movers cautiously until breadth and total market value confirm the direction.

Sources: CoinMarketCap, Alternative.me
#wpo_report #CryptoMarket #MarketData

Pyth Network is building serious infrastructure for internet-native finance.

$PYTH is the network token tied to governance and Pyth’s broader market-data ecosystem.

Most market data is downstream.

Pyth goes upstream—sourcing prices directly from institutions and market participants creating the data.

The scale stands out.

710+ businesses.

125+ institutional publishers.

114+ blockchains.

$3.25T+ in cumulative volume secured.

$LINK , $ONDO, and $HYPE each connect to parts of the broader financial-infrastructure narrative.

Pyth’s first-party, multi-asset market-data model gives it a distinct lane.

Pyth Pro, Data Marketplace, and Pyth Indices are pushing that infrastructure deeper into internet-native markets.

Not financial advice, just information post

#PYTH #DeFi #RWA #MarketData #Crypto .

Weekend Market Snapshot

After the CPI-driven volatility, the market is trying to stabilize.

Bitcoin is holding around the $77,200–$77,400 zone.


Ethereum continues to show relative strength, up over 2% and trading near $2,520.


Key observations from the data:
- ETH is outperforming BTC in the short term.
- Rate hike odds remain elevated after the hotter inflation print.
- Liquidations were heavy yesterday, but price recovered quickly.

With the Fed meeting next week, traders are watching whether Bitcoin can hold current support or if we see another test lower.

Data still points to selective strength rather than broad risk-on.

What’s your view heading into next week?

#CryptoAnalytics #BTC #ETH #MarketData #BinanceSquare

Market data is becoming critical infrastructure for 24/7 finance.

Most data travels downstream. Pyth Network goes upstream, sourcing prices directly from institutions and traders creating them.

$PYTH provides governance and utility within the Pyth Network ecosystem.

710+ businesses use Pyth Network data.

$3.25T+ cumulative volume secured.

125+ institutional publishers across 114+ blockchains, with 60% of the onchain perpetuals market running on Pyth Network.

Pyth Pro delivers multi-asset data through one integration and crossed $6M ARR within months.

$HBAR connects with institutional adoption, $XLM with programmable finance, and $TAO with autonomous AI systems.

Pyth Network takes a distinct path through first-party financial data infrastructure.

Not financial advice, just information post.

#PYTH #PythNetwork #RWA #MarketData #DeFi

Most crypto projects talk about adoption.
Pyth has already built it.

710+ businesses trust Pyth for live market data.
$3T+ in cumulative transaction volume secured.
60% of the entire onchain perpetuals market runs on Pyth.

114 blockchains. 138+ first-party publishers. 3,000+ price feeds.

This isn't oracle infra. This is financial infrastructure the same kind. TradFi institutions have relied on for decades, rebuilt for internet-native markets.

Coinbase uses it. BitMEX uses it. Polymarket uses it. @PythNetwork

SGX FX and Euronext FX use it.

Pyth Pro reached a $3M ARR run-rate in Q1 2026.
Target: $10M ARR by year-end.

The market-data layer for the next era of finance isn't being built.
It's already live.

$PYTH #PythNetwork #DeFi #CryptoInfrastructure #MarketData

THE MARKET CAN BE GREEN AND RED AT THE SAME TIME—DEPENDING ON THE INDEX.

At 20:00 ICT, CoinMarketCap showed total crypto capitalization at $2.16T, down 0.90% over 24 hours, with $48.81B in volume. CoinGecko simultaneously reported $2.22T, up 1.7%, and $46.2B in volume. Yet both put Bitcoin near $62.7K, so the conflict is in the aggregate, not the core price.

Market lesson: “total market cap” is a provider-defined index shaped by listing coverage, supply inputs, stablecoin treatment, and update timing. Compare like with like before reading a market signal. When two reputable dashboards disagree on direction, use the divergence as a prompt to inspect methodology—not as proof that one side must be wrong. #MarketData $BTC

My analysis of $PNUT shows Balanced DOM (1.19x) and Accumulating (+) 1H Open Interest. The Whales L/S is 52.5% Long, which is slightly positive. Here are the levels I'm watching: 🔥 Deep Market Intel
✅ Order Book: Balanced DOM (1.19x)
✅ 1H Open Interest: Accumulating (+)
✅ Whales L/S: 52.5% Long
✅ Taker Flow: 0.70x
✅ 🔥 Deep Market Intel
✅ Order Book: Heavy Buy Walls (2.22x)
✅ 1H Open Interest: Declining (-)
✅ Whales L/S: 65.4% Long
✅ Taker Flow: 1.15x
✅

🎯 $PNUT DEEP VALUE 📌
✅ Entry Zone: 0.04383 - 0.04450
✅ 🎯 Target 1: 0.04540
✅ 🎯 Target 2: 0.04630
✅ 🎯 Target 3: 0.04738
✅ 🛑 Invalidation (SL): 0.04275 Keep an eye on the overall market sentiment with $NEAR . #PNUT #MarketData

$PYTH is redefining how market data moves across internet-native finance.

While most data providers operate downstream, Pyth goes upstream sourcing prices directly from the institutions and market participants that create them.

Today, Pyth powers:

• 710+ businesses
• $3T+ cumulative transaction volume secured
• 60% of the onchain perpetuals market
• 114+ blockchains receiving feeds
• 3,000+ price feeds across global markets
• Sub-100ms latency and 99.99% uptime

Through Pyth Pro, institutions and exchanges gain access to multi-asset market data through a single integration, while Pyth Terminal provides a transparent way to explore live feeds, compare benchmarks, and inspect data publishers.

The future of finance needs reliable, verifiable, and machine-readable data. Pyth is building the infrastructure layer to make that possible.

Pyth Network continues strengthening the foundation for next-generation financial markets alongside innovative infrastructure ecosystems such as $LINK and the emerging AI-driven economy powered by $TAO .

B U L L I S H 🥂

#PythNetwork #MarketData #DeFi

A new player is emerging in the on-chain market data space with $PYTH , and it's catching attention for all the right reasons 🚀

Entry: 1.20
Target: 1.80
Stop Loss: 0.90

This project is making waves by providing fast and reliable market data to internet-native finance, and its potential impact on the market structure is significant. With a strong focus on bringing institutions and traders together, $PYTH is poised to play a major role in shaping the future of on-chain markets.

Not financial advice. Manage your risk.

#PYTH #MarketData #OnchainFinance
❌

Over the past 12 hours, liquidation data made the direction very clear.

- Total liquidations: $283.52 million
- Long liquidations: $36.84 million
- Short liquidations: $246.68 million

The scale of the shorts being liquidated was more than 6 times that of the longs. This suggests that in the past half day, price saw a period of rapid upward movement that forcibly liquidated high-leverage short positions. This kind of move is usually not a “fundamental reversal,” but a liquidity-driven short squeeze: shorts stop out → price accelerates → more shorts get liquidated.

However, liquidation data is lagging. It tells you what happened just now, not what will happen next. After seeing large-scale short position clearing, chasing longs or shorts is equally dangerous: chasing longs could mean getting a pullback after liquidity has been exhausted, while chasing shorts could mean getting hurt as residual shorts continue to be liquidated.

The data is more like a “risk map” than a trading instruction.

$BTC #Crypto #Liquidation #MarketData

Pyth Network goes upstream while most market data stays downstream.

$PYTH powers the Pyth ecosystem, connecting first-party institutional pricing with internet-native finance.

Pyth Pro crossed $6M ARR, subscription ARR jumped 109% QoQ, while 710+ businesses use Pyth data across 114+ blockchains.

$UMA connects with prediction markets, $ONDO targets RWAs, and $HYPE represents perpetual markets. Pyth brings institutional market data across all three themes.

With 125+ publishers and $3.25T+ cumulative volume secured, Pyth keeps expanding its role in 24/7 markets.

Not financial advice, just information post

#PYTH #PythNetwork #DeFi #RWA #MarketData

Pyth Network is quietly rebuilding how financial markets get their data.

Most market data is downstream. Pyth goes upstream—sourcing prices directly from the institutions and traders creating them.

The scale is already significant:

710+ businesses using Pyth data
$3.25T+ cumulative volume secured
60% of the onchain perpetuals market
125+ institutional publishers
114+ blockchains receiving feeds
3,000+ price feeds across global markets

Pyth Pro takes this infrastructure institutional, offering 2,200+ instruments across multiple asset classes through one integration, with sub-100ms end-to-end latency and 99.99% uptime guarantees.

That matters for normal users because better underlying data can support more reliable pricing, collateral valuation, liquidations, settlement and 24/7 financial products.

Pyth Terminal makes the same ecosystem easier to inspect, letting users explore live feeds, compare pricing against benchmarks and see where data comes from.

Then there are two additional layers: Pyth Data Marketplace for distributing proprietary institutional datasets, and Pyth Indices for always-on pricing across individual assets and baskets.

Pyth Pro for AI Agents extends this further into autonomous finance, where machines need reliable, structured financial data to make decisions.

Commercial adoption is also accelerating. Pyth Pro crossed $6M ARR within months of launch, subscription ARR grew 109% QoQ, and Pyth reported three consecutive months above $1M in gross new ARR.

For context, $LINK overlaps with institutional data infrastructure, $ONDO with RWAs, $HYPE with perpetual markets, and $TAO with the emerging AI-agent narrative.

The bigger question isn't simply who provides data onchain. It's who becomes the market-data layer for financial markets that never close.

Only information not financial advice

#PythNetwork #MarketData #DeFi

Trend quality improves when gains are shared across several liquid names.

Stocks — Top Performance & Trend:

$ORCL | $TSLA | $RDDT | PLTR | COIN | SHOP | UBER | MSTR | AMZN | MSFT

WPO Read:

Oracle leads the liquid universe at +4.76% in the latest monitored session and -2.73% across the five-session sample. 5 of the top 5 names are positive, so breadth is broad. Leadership is shared across the top group; volume is 0.5x its recent pace.

Confirmation across the next session would strengthen the trend case.

#wpo_report #MarketData #StockWatch

$SHELL | What today's data actually shows, no more and no less

Both BTC and SHELL fell over the past 24 hours. Both have recovered somewhat from their respective lows. Both have a daily RSI below 40. Beyond those points, the two assets diverge: SHELL moved further, recovered less, and has much thinner liquidity.

That's all today's figures support. Anything beyond that—the cause, direction, or outcome—isn't something these numbers can answer.

#SHELL #BTC #MarketData

$SHELL | What Today's Data Actually Shows, No More and No Less

Both BTC and SHELL are down over the past 24 hours. Both have recovered somewhat off their respective lows. Both show daily RSI readings below 40. Beyond that, the two assets diverge: SHELL moved further, recovered less, and carries far thinner liquidity.

That's the full extent of what today's numbers support. Anything beyond this, cause, direction, or outcome, isn't something these figures answer.

#SHELL #BTC #MarketData

China's housing market data is out! From January to September, the transaction area of second-hand homes surged 10.7%, with market activity remaining strong. Real estate and crypto are both important asset allocation options, and the recovery in liquidity is worth watching. Whether buying a home or crypto, timing the market is key.

#房地产市场 #宏观经济 $BTC

China's real estate activity heating up! Second-hand home transactions surged 10.7% in first 9 months. Whether it's property or crypto, market momentum matters. Stay alert to shifting trends in both asset classes.

#RealEstate #MarketData $BTC

Performance becomes more useful when volume supports the move.

Stocks — Top Performance & Trend:

$MU | $SMCI | $LLY | RDDT | SHOP | AMZN | AVGO | NFLX | WMT | AAPL

WPO Read:

Micron leads the liquid universe at +4.06% in the latest monitored session and +5.33% across the five-session sample. 5 of the top 5 names are positive, so breadth is broad. Leadership is shared across the top group; volume is 1.2x its recent pace.

Follow-through will determine whether this is leadership or a short-lived spike.

#wpo_report #MarketData #StockWatch

24,073 Bitcoin left exchanges – the biggest outflow in seven months.

Santiment reports that exchange‑held Bitcoin fell to about 6.50% of total supply after the net outflow of 24,073 units on Monday.

Large outflows are often seen as a positive signal because fewer coins are readily available for selling, and the analytics platform noted that persistent withdrawals may indicate investors moving Bitcoin to longer‑term custody.

CryptoQuant data shows mid‑size inflows on Binance dropped from a 7‑day average of 4,155 BTC on August 16 to 2,648 units on October 7—a decline of over 36%—while Binance price moved from around $63,000 to above $84,000.

Coinbase Prime’s mid‑size inflows fell from 1,620 to 1,370 BTC (about 15%), whereas Coinbase Advanced saw inflows rise to 4,760 from 2,520 BTC, still below the 5,000 BTC threshold.

On the institutional side, U.S. spot Bitcoin ETFs reversed a $90 million net outflow on Monday with $119 million of inflows on Tuesday, led by BlackRock’s IBIT with $122 million and Morgan Stanley’s MSBT with $7.84 million; Grayscale’s Mini Trust recorded an outflow of roughly $11 million.

Do you think the shrinking on‑exchange supply will keep price pressure to the upside?

#Bitcoin #Crypto #ETFs #MarketData

$SHELL | What "24h Change %" Actually Tells You

Imagine your friend tells you "the price went up 1.34% today." That one sentence hides two numbers: where the price started, and where it ended up.

For SHELL right now, the price started the 24-hour window at approximately 0.02381 USDT (worked out backward from the percentage) and currently sits at 0.02413 USDT. The difference between those two numbers, divided by the starting number, gives you that 1.34%.

This single percentage is useful because it's the fastest way to answer "did this asset go up or down over the last 24 hours, and by how much," without doing the math yourself every time you check.

#SHELL #CryptoBasics #MarketData

Trend quality improves when gains are shared across several liquid names.

Stocks — Top Performance & Trend:

$SHOP | $MSTR | $TSLA | NVDA | MSFT | META | AVGO | RDDT | COIN | UBER

WPO Read:

Shopify leads the liquid universe at +5.76% in the latest monitored session and +7.70% across the five-session sample. 5 of the top 5 names are positive, so breadth is broad. Leadership is shared across the top group; volume is 1.5x its recent pace.

Confirmation across the next session would strengthen the trend case.

#wpo_report #MarketData #StockWatch