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HTX Community April Creation ContestHTX Creation Challenge — Post and Win 1,500U 💥MEGA: Real-Time Execution Layer for EthereumSTRC strength fuels expectations of corporate Bitcoin accumulation Given B

HTX  Creation Challenge — Post and Win 1,500U 💥

MEGA: Real-Time Execution Layer for Ethereum

STRC strength fuels expectations of corporate Bitcoin accumulation
Given Bitcoin’s growing institutional momentum, equity market strength creates a dual liquidity effect.

On one side, capital rotation into equities limits immediate crypto inflows, capping near-term Bitcoin expansion.

On the other hand, stronger Wall Street liquidity improves the capital-raising environment for corporate Bitcoin treasuries, indirectly supporting future $BTC accumulation.

The Stretch Index (STRC), associated with Strategy (MSTR), reflects this relationship in real time. In a recent post on X, Michael Saylor pointed to roughly $126 million in sell-side liquidity positioned near $100.

Despite visible overhead supply, STRC continues to trade tightly around this range, suggesting strong institutional demand absorbing available supply, even as broader crypto market liquidity appears constrained.Source: X
As a result, markets quickly began anticipating a potential upside move in STRC.

Historically, sustained trading activity near the $100 threshold has coincided with increased Bitcoin purchases, as capital raised through STRC-linked flows is deployed into $BTC.

With equities gaining momentum amid strong inflows, improving market conditions could support further Bitcoin accumulation as STRC maintains strength around this level.

In turn, this strengthens the case for a Bitcoin breakout above $85k despite limited crypto liquidity.

Final Summary
Equity markets are absorbing most liquidity, delaying Bitcoin’s breakout as capital rotation favors traditional risk assets.
STRC strength signals potential corporate $BTC buying, suggesting Bitcoin could still break above $85k as institutional accumulation builds.

STRC strength fuels expectations of corporate Bitc

Orca: Top AMM DEX on Solana

On May 10, according to news from Italy on May 9, U.S. President Trump stated in a phone interview that he is 'still considering' adjustments to the U.S. military presence in Italy, adding that 'Italy

Trump Indicates 'Still Considering' Adjustment of U.S. Troops in Italy

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HTX Community April Creation ContestBTC Shakes at $80K—Up or Down?Everything Can Be HuobaoJPMorgan AI spending has been reclassified from discretionary innovation to core infrastructure, placing it al

JPMorgan AI spending has been reclassified from discretionary innovation to core infrastructure, placing it alongside data centers and cybersecurity in the bank’s budget. Summary JPMorgan reclassified its $2bn annual AI budget from discretionary innovation to core infrastructure, placing it alongside payment systems and cybersecurity in its $19.8bn tech spend. CEO Jamie Dimon says JPMorgan AI deployment has already generated $2bn in operational savings, effectively self-funding the investment across 150,000 employees. The bank runs over 500 active AI use cases in production, including fraud detection that has cut anti-money laundering false positives by 95%. JPMorgan has reclassified JPMorgan AI investment as core infrastructure, treating its $2bn annual budget as non-negotiable as cybersecurity. The world’s largest bank has moved its AI spending out of the discretionary innovation category and placed it alongside data centers, payment systems, and core risk controls inside its $19.8bn total technology budget for 2026. CEO Jamie Dimon said the investment has already self-funded through $2bn in operational savings across more than 150,000 employees, adding a 10% to 11% productivity gain in engineering, operations, and fraud detection. The reclassification is not symbolic. When a bank of JPMorgan’s scale treats AI as a non-discretionary cost on par with fraud detection infrastructure, the signal moves downstream to every other financial institution in its competitive set. CFO Jeremy Barnum confirmed that modernization spending has peaked and the bank’s investment is now shifting toward products, platforms, and AI integration as a baseline operating cost rather than a special project. You might also like: Why Meta’s Muse Spark ditched open-source AI What JPMorgan’s AI stack looks like The bank’s proprietary LLM Suite, named Innovation of the Year at American Banker’s 2025 aw

JPMorgan AI spending has been reclassified from di

The Canton wallet ecosystem has expanded significantly, from self-custody and hardware storage to payments, passkeys, and multichain tools. A community-built guide to what's live and what each option 

$110K Spring Airdrop Rain—18 Days Straight!HTX Community April Creation ContestBTC Shakes at $80K—Up or Down? How DeFi is changing the financial landscape for Latin AmericansFor decades, Latin America

$110K Spring Airdrop Rain—18 Days Straight!

How DeFi is changing the financial landscape for Latin AmericansFor decades, Latin Americans have lived with financial constraints that citizens of more developed economies rarely think about: periodic currency devaluations, inflation shocks, limited access to credit and banking systems that often fail to reward savers.

A new layer of innovation is now reshaping the region’s financial landscape. Decentralized finance — DeFi — is quietly moving from a niche crypto experiment to a practical set of tools that expand financial opportunity across the region.

How DeFi is changing the financial landscape for L

$110K Spring Airdrop Rain—18 Days Straight!HTX Community April Creation ContestBTC Shakes at $80K—Up or Down? Corporate America posts record earnings, fueling US stocks’ rallyWall Street braced for pa

Corporate America posts record earnings, fueling US stocks’ rallyWall Street braced for pain. What it got instead was one of the strongest earnings seasons in two decades.

A full 84% of S&P 500 companies have exceeded Q1 2026 earnings projections, according to FactSet data from May 6. That figure handily tops the five-year average of 78%, and it’s happening against a backdrop that, on paper, should have made corporate America sweat: an ongoing conflict in Iran, rising energy costs, and inflation that refuses to fully cooperate.

The S&P 500 hit record highs on April 30, capping its best month since 2020.

Corporate America posts record earnings, fueling U

BTC Shakes at $80K—Up or Down?HTX Community April Creation ContestEverything Can Be Huobao Why Bitcoin Didn’t Correlate With the Rally in the S&P 500 and Nasdaq Bitcoin has spent years moving almost i


Why Bitcoin Didn’t Correlate With the Rally in the S&P 500 and Nasdaq
Bitcoin has spent years moving almost in sync with U.S. stocks, especially technology shares. When the S&P 500 and Nasdaq-100 rallied, Bitcoin usually rallied harder. When equities crashed, Bitcoin often fell even faster.

But 2026 has looked very different.

The S&P 500 and Nasdaq recently reached fresh all-time highs, fueled by strong corporate earnings and the ongoing artificial intelligence boom. Meanwhile, Bitcoin has remained stuck below $80,000, trading well below its late-2025 peak of $126,000.

The divergence has surprised many investors because crypto and equities have become deeply connected over the last few years. Yet this cycle shows that Bitcoin is still influenced by its own unique market forces, not just risk appetite on Wall Street.

Why Bitcoin Didn’t Correlate With the Rally in the

On May 10, FOX reporter Charles Gasparino revealed that the U.S. CFTC and SEC have aligned their positions on the regulatory boundaries concerning predictive markets and recent unusual trading related

CFTC and SEC Strengthen Collaboration on Predictive Market Regulation Boundaries

Genius: First Private On-Chain Terminal

On May 10, seven major Bitcoin mining pools, including Antpool, F2Pool, Foundry, Spiderpool, Block, MARA Foundation, and DMND, officially joined the Stratum V2 working group, marking a significant shi

Seven Major Mining Pools Join Stratum V2 Working Group to Enable Miners to Choose Block Transactions

Akash Network’s AI model increases daily token volume As per data from OpenRouter, AkashML reached a new all-time high of 6.58 billion tokens processed in the last 24 hours. The team achieved this mil

Akash Network’s AI model increases daily token volume

As per data from OpenRouter, AkashML reached a new all-time high of 6.58 billion tokens processed in the last 24 hours. The team achieved this milestone in less than two months after launching the product.

Worth noting, processing over 5 billion tokens per day has become the norm since toward the end of April. April alone processed almost 120 billion tokens.




The founder of Akash Network, Greg Osuri, echoed this incredible milestone. Some users were using $AKT to host on the network without being aware of it. Greg wrote on X,



Akash Network’s AI model increases daily token vol

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