EVERЦена Everscale

Following the Federal Reserve's 25 basis point rate cut, Ethereum retreated below $3,200 after an initial brief rally. According to CryptoQuant, Binance’s Ethereum Estimated Leverage Ratio has reached a record high of nearly 0.579, indicating the market has entered a highly sensitive and unstable phase. This extreme leverage suggests recent price action is driven by speculation rather than organic demand, making the market vulnerable to sharp volatility. Even a modest price swing could trigger cascading liquidation event. With ETH trading near $3,300, this rally is considered inherently fragile as it is supported by leverage, not strong spot inflows. A slight cooling in leverage alongside rising prices could provide a healthier foundation for a sustained uptrend.

"Attack of the MM 1: Market Maker Inventory Quoting System" by Dave explores why altcoin prices often move against retail traders immediately after their purchases, debunking the myth of intentional manipulation by "market manipulators." The article explains that this phenomenon is not due to malicious intent but is a result of automated market maker (MM) systems using the Avellaneda-Stoikov model for inventory-based pricing and protection against toxic order flow. When retail traders execute large buy orders, MMs sell, leading to a short inventory exposure. To mitigate risk, MMs adjust their strategies in two ways: 1. **Quote Skew**: They lower prices to attract sellers and discourage further buys, aiming to replenish inventory and protect their short position. 2. **Spread Widening**: They widen bid-ask spreads to reduce transaction probability and earn more spread profit to offset potential losses. The core mechanism involves the "Reservation Price," calculated as Mid Price − γ⋅q (where q is inventory and γ is risk aversion). Large retail orders disrupt inventory balance, causing MMs to adjust prices dynamically. Retail traders often face this due to their concentrated, unconcealed, and unhedged orders, especially in low-liquidity altcoins where their trades significantly impact pricing. The article concludes with a practical tip: instead of executing large orders at once, retail traders can break them into smaller, staggered orders to exploit MM pricing adjustments, achieving better average entry prices. A follow-up will discuss toxic order flow and order book dynamics.

The article "Advancing MM 1: Market Maker Inventory Quoting System" explains why retail traders often experience price movements against their positions after buying altcoins. It argues this is not due to market manipulation but is a result of automated market maker (MM) systems responding to inventory risk and toxic order flow. When traders place large buy orders, MMs sell inventory, creating a short exposure. To mitigate this risk, MMs adjust their pricing using the Avellaneda-Stoikov model. They skew quotes lower to attract sellers and widen spreads to reduce transaction probability, aiming to return inventory to a balanced state while protecting against adverse selection. The reservation price, central to this model, is calculated as the mid-price adjusted by inventory levels and risk aversion. The article notes that retail traders are particularly affected because their orders are often large, concentrated, and not hedged—especially in low-liquidity altcoins. A suggested strategy for traders is to break large orders into smaller, less detectable increments, allowing them to buy at progressively better prices as the MM’s quoting system reacts. The post teasers follow-up articles on order book dynamics and toxic flow.

Grayscale has filed with the SEC to convert its Grayscale Bittensor Trust into the first-ever spot ETF for Bittensor's TAO token. If approved, this ETF would provide institutional investors with exposure to TAO through a U.S. exchange. The filing follows Bittensor halving event in December 2025, which reduced daily token emissions, creating a supply shock that immediately boosted TAO's price above $220. Grayscale aims to establish decentralized AI as a formal investment category in traditional finance. The proposed ETF would use Coinbase as prime broker and offer both in-kind and cash creation mechanisms, though staking is not currently permitted. This move is part of Grayscale's broader expansion strategy, which also includes refining offerings for other cryptocurrencies. The SEC's decision, expected in mid-2026, will be a key determinant for TAO's future institutional adoption.

Bitcoin closed 2025 with a 6% decline, marking the first negative post-halving year in its history. This breaks the long-standing four-year cycle where Bitcoin historically saw significant gains following halving events. The trend shift is attributed to increased institutional dominance through ETFs, which tied Bitcoin closer to traditional markets and macro factors like interest rates and equity sentiment. The 2024 halving’s supply reduction had a diminished impact due to the maturity of the market and the fact that most Bitcoin has already been mined. While some declare the four-year cycle "dead," others see it as evolution toward longer, less volatile cycles aligned with macroeconomic trends. Despite the downturn, Bitcoin's network strength and adoption continue to grow.