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financing

Analysis: STRC breaking below par value has sparked market controversy, and the Strategy Bitcoin financing flywheel is facing a test

According to Cointelegraph, Bitcoin has dropped about 40% since Strategy launched the Bitcoin financing tool STRC. STRC has fallen below the $100 par value, sparking discussions in the market about the sustainability of Michael Saylor's Bitcoin "flywheel" model. Strategy currently holds over 846,000 BTC, but the recent buying pace has noticeably slowed. Data shows that the company increased its holdings by 1,550 BTC worth approximately $101 million in the week ending June 8; in the week ending June 15, it added another 1,587 BTC worth about $100 million. In contrast, in April 2026, it bought 34,164 BTC in a single week, amounting to $2.54 billion, indicating a significant decrease in recent capital inflows.Meanwhile, Strategy previously sold 32 BTC to meet dividend obligations. Although this amount is small compared to its overall holdings, the market believes this indicates that when STRC's financing efficiency declines, the company's cash flow pressure may increase. STRC was originally designed as a preferred stock tool trading close to the $100 par value, attracting investors through dividend adjustments and helping Strategy raise funds to purchase Bitcoin. Currently, the STRC price has fallen to a historical low, having once dropped to $82.53, and then closed at $88.59, about 13% below par value. Critics argue that the STRC price falling below par value means that Strategy's financing channels are under pressure.Long-time Bitcoin critic Peter Schiff described STRC as "like a typical centralized Ponzi structure," believing that the model relies on continuous financing or selling Bitcoin to maintain operations. Crypto trader DonAlt also questioned STRC's recent performance, stating that its trading behavior resembles a "Ponzi structure." However, some analysts believe that the decline in STRC is more due to leveraged liquidations rather than a deterioration in Strategy's fundamentals. STRC had previously maintained a price around $99 to $100, attracting investors to use leveraged trading, and the price falling below this critical level triggered forced liquidations, exacerbating the decline.Analyst Scott Melker pointed out that STRC's current yield has actually increased due to the discount. Since dividends are calculated based on a $100 liquidation preference, if the STRC price is $90, the 11.5% annualized dividend corresponds to an actual yield of about 12.8%; if the price drops to $85, the yield could exceed 13%. Strategy is expected to announce the next STRC dividend adjustment on June 30. The market is currently focused on whether STRC's discount will persist and whether Strategy's model of relying on capital markets for financing to continue increasing BTC holdings can remain stable.

Aave founder: Aave V4 can reconstruct the on-chain securities financing market, targeting a market size of trillions of dollars

Aave founder Stani Kulechov stated that Aave V4 can be used to reconstruct the on-chain securities financing market. He mentioned that securities financing is one of the largest markets on Wall Street but receives relatively little attention from the outside. Securities collateralized loans have become a multi-trillion dollar business, with the U.S. repurchase market having an average daily exposure of about $12.6 trillion, secured financing reaching $1.3 trillion, wealth management securities collateralized loans exceeding $400 billion, and approximately $4.6 trillion in assets in the securities lending market being lent out, generating a record $15 billion in revenue by 2025.Aave V4, through a "liquidity hub + modular market" structure, allows for shared liquidity at the underlying level while setting up segmented markets with different risk parameters, asset ranges, and rules at the upper level. Aave V4 can support three core securities financing scenarios: securities collateralized loans, repurchase transactions, and securities lending. Tokenized securities can be used as collateral to borrow GHO or stablecoins; repurchase transactions can borrow stablecoins using tokenized securities as collateral and achieve atomic settlement; in securities lending, the tokenized securities themselves can become borrowable assets, with lending income flowing directly to asset holders.Stani indicated that Aave V4 could adopt a single shared liquidity hub or split multiple hubs by asset class and risk. The former has deeper liquidity, while the latter offers stronger risk isolation. He believes that the realistic path may start with unified liquidity and, as the types of collateral expand, gradually evolve into a multi-hub structure categorized by asset class and risk.

The collectible RWA infrastructure protocol Renaiss has completed a $1.5 million seed round financing, led by YZi Labs

Renaiss, a liquidity infrastructure for real-world collectibles, announced the completion of a $1.5 million seed round financing, led by YZi Labs, with participation from Gate Ventures, Hash Global, XIN Family, and Redline Labs. Angel investors come from Mask Network, Far East Group, Logoman, Hoopi, and Legit App.Built on the BNB Chain, Renaiss aims to connect third-party vaults, card shops, and custody nodes through Renaiss Vault OS, and uses Renaiss.XYZ as the application layer for users to access the on-chain collectibles market. It provides verifiable custody, standardized settlement, and on-chain liquidity for physical collectibles, eliminating friction in verification, custody, pricing, and cross-border transactions. Collectibles verified through custody can complete ownership transfers on-chain and circulate globally without trust and permission.The funds from this round will be used to expand the vault network, enhance product integration with the Renaiss SDK ecosystem, expand collectible categories, drive global market expansion, and support DeFi integration and AI Agent-related infrastructure development.It is reported that Renaiss has been selected for the third season of the YZi Labs incubation program EASY Residency and has won the 2025 Binance Blockchain Week Dubai Demo Night award, while ranking first in the RWA category on the BNB Chain. Since the Beta launch in November 2025, the Renaiss platform has achieved a turnover of over $20 million, with more than 260,000 users.

JPMorgan has raised its forecast for AI infrastructure investment to $5.5 trillion, as giants like NVIDIA are turning to debt financing

J.P. Morgan strategist Tarek Hamid and his team have raised their forecast for total investment in artificial intelligence infrastructure by 2030 to $5.5 trillion in a recent research report, an increase of $400 billion from their prediction last November. The bank noted that in this investment race for super-scale data centers, approximately $4.1 trillion will come from debt financing, with loans covering an average of 85% of total project costs, indicating that AI capital expenditures have shifted to a debt market-centric financing model.Since last November, global bond issuance related to AI and data centers has exceeded $300 billion. The latest typical case comes from chip giant NVIDIA, which completed the pricing of a $25 billion investment-grade bond issuance this Monday, marking its return to the bond market for the first time in five years. This issuance was conducted in seven tranches (with maturities ranging from 2 to 30 years) and attracted oversubscription of up to $85 billion, ultimately increasing the issuance size by 25% from the initial target.The research report emphasizes that although tech giants like NVIDIA, Alphabet, and Amazon are generating substantial cash flow from the AI boom (with NVIDIA estimating free cash flow exceeding $200 billion this fiscal year), these giants still choose to issue hundreds of billions of dollars in bonds. This indicates that such bond issuance is not due to a "lack of financing," but rather that the credit market is confirming the pricing of AI assets.

Energy company TAR completes $27 million seed round financing to address power issues in data centers during the AI era

Green energy infrastructure startup TAR announced the completion of a $27 million seed round financing to develop modular "plug-and-play" power systems for data centers, aimed at addressing the power and deployment bottlenecks faced by data centers in the AI era.According to reports, the solution combines solar energy, wind energy, battery storage, and natural gas backup units to achieve nearly round-the-clock (24/7) local power supply capability, reducing reliance on the public grid and thus bypassing issues such as grid access queuing, approval delays, and power price fluctuations. TAR's co-founder stated that the core idea is to significantly compress the deployment cycle of energy systems through factory prefabrication, pre-assembly, and pre-testing, enabling data centers to achieve "rapid go-live" capability.In pilot projects, the system can provide approximately 10 MW of stable power supply and plans to deploy over 200 MW of normal load capacity by 2027. The company noted that its first customer is an undisclosed "neocloud" service provider, aiming to provide a faster energy deployment path for AI computing infrastructure.In terms of the economic model, TAR stated that its solution does not aim for costs below those of traditional grids but prioritizes solving the "speed issue." Its off-grid energy system can be deployed in about three months, avoiding the time costs associated with grid access and land restrictions. As the demand for AI computing continues to grow, power supply has been identified by multiple studies as one of the main bottlenecks for data center expansion. Industry analysis suggests that the "off-grid energy + modular data center" model is becoming a new direction in the competition for AI infrastructure.
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