Accumulation addresses = a bull run?

cryptoslatePublicado em 2022-08-05Última atualização em 2022-08-05

Resumo

A valuable metric that can be used to predict bull runs with a significant degree of accuracy is accumulation addresses. Defined as Bitcoin wallets held by investors that haven’t withdrawn or spent any of the BTC stored in them, accumulation addresses are often used to calculate the bullish sentiment in the market.

While active Bitcoin (BTC) addresses are seen as a good indicator of the overall health of the crypto market, they’re less helpful in predicting market cycles.

A valuable metric that can be used to predict bull runs with a significant degree of accuracy is accumulation addresses. Defined as Bitcoin wallets held by investors that haven’t withdrawn or spent any of the BTC stored in them, accumulation addresses are often used to calculate the bullish sentiment in the market.

Determining the number of accumulation addresses requires applying strict limitations to the data. Any amount of Bitcoin withdrawn or spent from this particular type of address immediately removes it from the cohort. When calculating the total number of accumulation addresses, Glassnode considered both cold and hot wallets.

Zooming out to 2010 reveals an interesting trend — every time the number of these addresses increased, a bull run ensued.

The bull run of 2018 was preceded by the addition of 200,000 new accumulation addresses. Its peaks in 2014, 2013, and 2011 also correlated with a significant spike in the number of accumulation addresses. 

According to Glassnode’s data, accumulation addresses have grown by 18% since Jan. 1, 2022, reaching an all-time high of 700,000 addresses. 

The addition of 170,000 new accumulation addresses is typically a bullish indicator, as it shows an increasing amount of Bitcoin’s supply being taken out of the network. A drastically reduced supply of Bitcoins on exchanges then triggers an increase in buying pressure, pushing the price up. 

Leituras Relacionadas

NVIDIA CPU Advances, China's RISC-V Responds: Semiconductor Deep Dive - Part Four

NVIDIA is set to launch its new Vera AI data center CPU in China as early as August, with high pricing. While this move offers a new option, it highlights China's continued dependence on foreign-controlled Arm architecture. In response, the Chinese semiconductor industry is increasingly turning to RISC-V as a strategic alternative for achieving high-performance computing autonomy. The article explores the concept of the "impossible triangle" in CPU development—balancing prosperity, control, and autonomy—and posits that RISC-V's open-source, modular nature offers a unique path to achieving all three. While RISC-V is already dominant in embedded systems, the focus is now shifting to data centers and AI workloads. China has become a global hotspot for RISC-V development, driven by AI-driven compute demand, supply chain concerns from export controls, cost benefits of open-source, and strong policy support. Multiple Chinese companies have reportedly crossed the key performance threshold of 15 SPECint per GHz, a benchmark for entering the high-performance CPU club. Progress extends beyond single-core benchmarks. Companies are developing complete computing subsystems, including commercial-grade coherent network-on-chip (NoC) technology and server processors with up to 40 cores that strictly adhere to the RVA23 standard to ensure software compatibility. Real-world applications are emerging in areas like video transcoding and edge AI. However, significant challenges remain. The RISC-V ecosystem faces fragmentation, immature toolchains and verification processes, and gaps in single-core performance and energy efficiency compared to mature x86 and Arm architectures. The formidable software moat, epitomized by NVIDIA's CUDA, is a long-term hurdle. In conclusion, while RISC-V cannot immediately replace offerings like NVIDIA's Vera, it represents a viable long-term path for China to develop a self-sufficient, high-performance CPU ecosystem. The journey is acknowledged to be long and arduous, requiring sustained effort to overcome technical and ecosystem challenges.

marsbitHá 6h

NVIDIA CPU Advances, China's RISC-V Responds: Semiconductor Deep Dive - Part Four

marsbitHá 6h

My Coding Betting Dashboard is Profiting, but Polymarket is Truly Not a Good Place for 'Arbitrage'

The author built a custom monitoring dashboard for Polymarket, a prediction market platform, and tested it with $1,600, achieving over 30% returns. However, the core argument is that Polymarket is not a good venue for traditional arbitrage. The dashboard has two main sections: a "Portfolio Dashboard" for tracking active positions with key metrics like total capital, P&L, and a risk-control module using a tier system (T1, T2, T3), and an "Opportunity Watchlist" for monitoring markets. The article details a critical structural trap in binary markets: a bet with a high perceived probability of success still carries a 100% loss risk if wrong. The author's T1/T2/T3 system is designed to manage this by limiting position sizes based on conviction and time horizon, emphasizing that high confidence should not equal high concentration. A key insight is the danger of "pseudo-diversification"—betting on different markets driven by the same underlying variable. The author concludes that Polymarket offers few true low-risk, arbitrage opportunities. It is instead a high-risk environment where wins can create a false sense of mastery, leading to large losses. The platform is better viewed as a training ground for honing judgment through disciplined, framework-driven betting rather than a reliable income source. The tools help transform intuition into structured, rule-based decisions to mitigate the risk of catastrophic errors.

marsbitHá 9h

My Coding Betting Dashboard is Profiting, but Polymarket is Truly Not a Good Place for 'Arbitrage'

marsbitHá 9h

Trading

Spot
Futuros
活动图片