Luna Foundation's BTC Stash Nears Tesla's — But Is Terra's Buying Enough For BTC To Go Higher?

zycrypto2022-04-18 tarihinde yayınlandı2022-04-18 tarihinde güncellendi

Özet

The current aggressive accumulation of Bitcoin by Terra has no doubt been a positive catalyst for the cryptocurrency’s price.

The current aggressive accumulation of Bitcoin by Terra has no doubt been a positive catalyst for the cryptocurrency’s price. So far, through The Luna Foundation Guard (LFG), over $1.7 billion of Bitcoin has been purchased to backstop Terra’s algorithmic UST stablecoin.

LFG added another 2,500 BTC, worth approximately $100.4 million at the time of the transaction, to its reserves on April 13 and 123 BTC yesterday. Thus, Terra now owns 42,530 BTC, which is approximately $1.72 billion at the time of this writing — just 700 BTC less than Tesla’s corporate treasury holdings.

Despite the massive purchases, there are lingering questions as to whether Terra can sustain a move higher by Bitcoin. According to a report by “IntoTheBlock” a crypto data research company, despite LFG being one of the most avid Bitcoin buyers, scooping over 40,000 BTC in the last 30 days, those investments still make up a very small portion of Bitcoin’s daily volume.

As per the report, the $67M daily average inflow into Terra’s reserves represents just 0.27% of Bitcoins’ daily volume as per data by CoinGecko. Further, Terra’s highest purchase of $223M worth of Bitcoin on April 6 made up only 0.88% of that day’s trading volume signaling that Terra’s market conviction still has a long way to go.

“This suggests that impact in Bitcoin’s price throughout late March is likely more due to the psychological factor of having a large whale such as Terra avidly accumulating deterring sellers, rather than the actual buying propelling the rise.” Read the report.

Screen Shot 2022-04-07 at 5.15.47 PM

Furthermore, a dive deeper into whale address activity also seems to paint a picture contrary to Terra’s. In the past three months, the total Bitcoin balance held by addresses with 1k to 10k BTC dropped to its lowest. It is worthy to note that this click of whales is considered the real market movers, given that they hold over a quarter of Bitcoin’s total supply.

On-chain data shows that this group has gone mute, with groups holding over 100 BTC mostly decreasing their positions.

This liquidity, however, seems to be flowing into smaller addresses, particularly the group holding between 0.001 BTC and 0.01 BTC which has had the fastest growth in the past 30 days.

Although Bitcoin’s bearish plumb has been attributed to a list of other issues including the Federal Reserves’ slipups as well as other microeconomic concerns which are believed to impede investor decisions, it seems that large investors are still pondering on what could go worst with Terra’s BTC purchases.

That said, Bitcoin continues to recede, losing close to 13% since April 1, and is trading at $40,390 as of reporting with investors such as Peter Brandt, a lionized trader speculating that Bitcoin’s next rocket stage may not be ignited until 2024.

İlgili Okumalar

BIS Report Compliance Observations: The True Risks of Stablecoins Go Beyond 'De-pegging'

The BIS report, "Anchoring trust in money: innovation beyond stablecoins," highlights that the primary risks of stablecoins extend beyond potential de-pegging. It argues that the core challenge is whether stablecoins can be integrated into a financial system that is identifiable, monitorable, accountable, and regulatable. While acknowledging efficiency gains like faster payments and programmability, BIS emphasizes that money requires an institutional framework—including legal certainty, liquidity support, and financial integrity controls—which many stablecoins currently lack. The report details compliance risks, noting that while blockchain transactions are transparent, address visibility does not equate to identity or purpose clarity. This creates a systemic risk as pseudonymity, non-custodial wallets, and cross-chain bridges can undermine AML/CFT controls. Furthermore, these risks can spill over into the traditional financial system through on- and off-ramps. The future direction, per BIS, is not to prohibit innovation but to embed regulatory rules—such as identity verification and transaction screening—directly into the technological infrastructure of tokenized finance. The key takeaway for compliance is that any new financial instrument must clearly address questions of customer identification, transaction monitoring, accountability, and cross-border rule consistency to be viable as a mainstream payment tool.

marsbit22 dk önce

BIS Report Compliance Observations: The True Risks of Stablecoins Go Beyond 'De-pegging'

marsbit22 dk önce

When US Giants Collectively "Defect" to Chinese AI Models

When Silicon Valley Giants Turn to Chinese AI Models to Cut Costs A surprising trend is emerging: major U.S. tech companies are significantly reducing AI costs by switching to Chinese models. Coinbase, the largest U.S. cryptocurrency exchange, reportedly halved its AI spending after migrating to China's GLM-5.2 and Kimi 2.7 models, despite increasing usage. They achieved this through a sophisticated three-part strategy: implementing an automatic routing system to select the most cost-effective model per task, boosting cache hit rates from 5% to 60% to reuse computations, and employing "context engineering" to provide AI with more precise, less cluttered information. They are not alone. AI startup Lindy switched from Claude to DeepSeek, saving millions, while Snowflake's tests found GLM-5.2 solved 66% of coding tasks compared to Claude Opus's 67%—but at a fraction of the cost (output pricing is 5-7 times lower). While the top Western models may offer slightly better stability, the massive price differential is leading many businesses to reconsider their value proposition. This shift signals a deeper change in the AI industry, moving beyond pure performance benchmarks to a fierce cost competition. As pressure mounts, even OpenAI and Anthropic have begun slashing prices. For users, this means more choices, lower costs, and a crucial lesson: using multiple models based on task complexity, optimizing with caching, and keeping contexts lean are now key to leveraging AI efficiently and affordably.

marsbit29 dk önce

When US Giants Collectively "Defect" to Chinese AI Models

marsbit29 dk önce

BIS Report Compliance Watch: The Real Risks of Stablecoins Are Not Just 'De-pegging'

BIS Report Compliance Observations: The real risks of stablecoins go beyond "depegging" The BIS report "Anchoring trust in money: innovation beyond stablecoins" argues that while stablecoins and tokenization offer efficiency gains, their primary risk lies in fitting into an identifiable, monitorable, accountable, and regulatable financial system. Money's trust stems not just from technology but from institutional arrangements: a common unit of account, guaranteed redemption at par, liquidity support, regulatory frameworks, and financial integrity requirements. Stablecoins, operating on permissionless blockchains with pseudo-anonymity and non-custodial wallets, create systemic compliance gaps: unclear customer identity, incomplete fund origins, unexplained transaction purposes, fragmented cross-chain paths, and ambiguous liability. On-chain transparency does not equal compliance transparency. Public addresses don't reveal identity or intent. While blockchain analytics aid law enforcement, they cannot replace routine, large-scale AML/CFT controls. Effective compliance requires a closed-loop process encompassing customer onboarding, transaction monitoring, investigation, reporting, and audit. Stablecoin risks are not confined to the blockchain; they re-enter the traditional financial system via on/off-ramps, exchanges, and payment institutions. This forces banks to monitor client accounts for activity linked to virtual assets. The future direction is not to prohibit innovation but to embed rules into the technology. Tokenized finance should integrate with the existing two-tier monetary system, embedding compliance—like customer identification, pre-transaction screening, and auditable data trails—directly into the transaction flow. For compliance professionals, the key takeaway is that any new financial instrument must answer core questions: Who identifies the customer? Who monitors transactions? Who handles exceptions? Who is liable? Compliance is not the antithesis of innovation but the essential infrastructure for its sustainable growth.

链捕手30 dk önce

BIS Report Compliance Watch: The Real Risks of Stablecoins Are Not Just 'De-pegging'

链捕手30 dk önce

When American Giants 'Defect' to Chinese AI Models

Summary: The trend of major U.S. technology firms adopting more cost-effective Chinese AI models is gaining momentum. A prime example is Coinbase, the largest U.S. cryptocurrency exchange, which reportedly halved its AI expenditure by switching to Chinese models GLM-5.2 and Kimi 2.7, while its usage volume increased. This was achieved through a sophisticated cost-saving system featuring intelligent model routing (selecting the most suitable model per task), dramatically improving cache hit rates from 5% to 60%, and implementing "Context Engineering" to streamline prompts. This shift is not isolated. Other companies like the AI startup Lindy and data cloud firm Snowflake are making similar moves, drawn by the significant price disparity. For instance, GLM-5.2 costs $1.40/$4.40 per million tokens (input/output), compared to $5/$25 for Claude Opus 4.7. While top Western models may offer slightly higher stability or speed in complex tasks, the performance gap is narrowing, making the price difference harder to justify for many enterprise use cases. The implications are significant for both businesses and individual users. It highlights the importance of a multi-model strategy based on task requirements, the value of caching and reusing outputs, and the effectiveness of providing concise context. Ultimately, this migration signals a potential reshaping of the AI industry's pricing model, moving competition from pure performance benchmarks to practical cost-effectiveness, with increased choice and downward price pressure benefiting end-users.

链捕手37 dk önce

When American Giants 'Defect' to Chinese AI Models

链捕手37 dk önce

İşlemler

Spot
活动图片