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🚨 Big one coming
$23.6B in Bitcoin options expire next Friday
Calls stacked at $100k and $120k
Puts heavy around $85k
Max pain sitting near $96k
One of the largest $BTC  options expiries we’ve seen 👀

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APRO positioning itself as the #1 oracle deserves a closer look, beyond slogans. At its core, APRO is building an oracle layer optimized for real-time, high-frequency data, not just slow price feeds. This matters because the next wave of onchain activity isn’t simple spot swaps it’s perps, prediction markets, AI-driven apps, and event-based settlement, where stale data can cause liquidations or broken outcomes. Unlike legacy oracle models that focus mainly on coverage, APRO is leaning into speed, low latency, and multi-chain delivery. Their Oracle 3.0 design combines off-chain computation with on-chain verification, aiming to keep data accurate without bloating costs. Support for both push and pull data feeds makes it flexible for different applications. That said, “#1” isn’t about claims it’s about dependency. Chainlink still dominates integrations, but APRO is targeting a different battlefield: markets where milliseconds matter. The real test is adoption. If prediction markets and high-speed DeFi keep growing, oracles like APRO won’t be optional infrastructure they’ll be critical. Whether APRO captures that future will depend on usage, not narratives.$AT @APRO Oracle @APRO-ORACLE #APRO

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Polymarket moving off Polygon to launch its own L2 is genuinely bullish This is how L2s should be born Not random chains searching for users But apps that grow so large they need their own execution layer When an application reaches that scale it means real demand real usage and real product market fit More apps evolving into infrastructure Less empty chains trying to force ecosystems #USCryptoStakingTaxReview #TrumpTariffs $BNB

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This really puts 2025 post-TGE performance into perspective. Around 35 projects launched at valuations above $1B this year. Not one of them is in the green today. Average performance ≈ -81% That’s not a few bad apples That’s a pattern We may still see one or two more >$1B launches this year like Lighter or Sentient AGI, but the backdrop hasn’t changed. It raises an uncomfortable question Are these launches meaningfully different from memecoin dynamics Just wrapped in better branding, suits, and narratives Because even projects launching at $100M with “strong fundamentals” are still down 70–80% shortly after listing This isn’t just poor timing It’s structural High FDVs Low floats Weak value capture And a market with no appetite for dilution No surprise teams are struggling to clear $100M now And no surprise users are exhausted 2025 wasn’t just a tough year It was a brutal reality check for altcoins $AAVE

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CT feels stuck. Same recycled takes. Same screenshots. Same I told you storytelling motivation posts every day Nothing new gets said. Nothing old gets challenged. Just copy paste loops farming impressions. No wonder people tune out. $BTC

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Story of Cupsey From $2000 to $30M on Solana and then the edge disappeared He started with about $2000 By the end of 2025 the number was above $30M This is not a claim of inevitability It is a record of how the trades unfolded The trader Cupsey Age 19 Often described as a trench grinder The numbers Records show • Starting capital around $2000 • Ending net between $30400000 and $30660000 • More than 262000 trades • Win rate near 67.7 percent • Over 15500 tokens • More than $56M in volume From December 20 2024 to September 15 2025 • 271 green days in a row • Average daily profit around $113469 during the bull phase How the strategy worked This was not long term investing The approach relied on • PumpFun snipes • Small standard entries often near 3 SOL • Rapid exits • Scanning hundreds of new launches daily Holding periods were short Around 95 percent of trades closed in under one minute Speed mattered more than conviction The break On September 16 activity changed The main wallet was drained Nova is suspected as the connection vector A new wallet appeared After the drain From September 16 to December 21 • $145237 realized • 1248 trades • About 12.9 trades per day • Average profit near $1496 per day The pace slowed The edge narrowed The open question Was the performance driven by execution speed By early access to flow By tooling discipline or by conditions that no longer exist Cupsey shows what is possible in one market phase What remains unclear is how repeatable this really is once the environment changes $SOL

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