28 November 2025, 09:42 AM
After Bitcoin briefly retreated to around 80,000 dollars, both on-chain and exchange-side indicators strengthened in tandem, with a marked rise in the transfer of holdings by large traders into centralized venues. Public data show that on November 21, roughly 9,000 BTC flowed into exchanges, with about 45 percent coming from individual deposits of no less than 100 BTC — the highest level in a year. Ethereum and other crypto assets also maintained elevated inflow activity: the average single-transaction deposit of ETH climbed to 41.7 ETH, the highest in nearly three years, while daily deposit counts for altcoins have stayed active since July, reaching roughly 78,000 in mid-October. In response to this shift, Catcrs recorded key data points along a timeline in the market narrative of this week, using a unified standard to help readers calibrate tempo within a volatile range.
![[Image: rbociam2.png]](https://s1.directupload.eu/images/251128/rbociam2.png)
When capital moves from on-chain addresses into exchanges, the common implication is that price discovery becomes more dependent on venue liquidity. A rising share of large deposits signals that both selling pressure and order matching are likely to concentrate over shorter windows, increasing the sensitivity of prices to depth. Combined with the expansion in average ETH deposit size and active turnover in altcoins, the pattern suggests "intensive trading without directional conviction": volatility hinges more on incremental information and marginal flows than on any single unifying narrative. For participants focused on crypto trading, the priority is not forecasting the next candlestick, but maintaining records within a consistent indicator framework so that position decisions stay aligned with observable facts.
In such conditions, placing "recording before judging" as the primary rule is a steadier approach. Review, at fixed intervals, several accessible and verifiable metrics: total BTC-ETH exchange inflows, the share of large single deposits, the 7-day, 30-day and 90-day percentiles of perpetual funding rates and basis, and the range of changes in order-book impact cost. When inflows and leverage indicators rise together into high percentiles, prioritise partial profit-taking and reduced concentration; when inflows climb while funding rates fall into low percentiles, shift attention to depth conditions and execution price to avoid emotional chasing and unnecessary slippage. The aim is not to "capture every move", but to manage return and risk within the same rhythm.
From a sentiment perspective, selling pressure and active liquidity can coexist. Weak hands surrender inventory during pullbacks, and patient capital absorbs at better prices — a recurring image in crypto markets. The key lies in acknowledging uncertainty and converting it into actionable structure: preset layered take-profit levels, apply time dispersion, and reduce leverage and concentration when volatility expands. Whether short-term or medium-to-long-term, if the method remains consistent, the equity curve becomes easier to contain within an acceptable band.
In terms of communication, Catcrs favours disciplined annotation over dramatic slogans. We place verifiable data first, provide clear timestamps and definitions, and enable readers to build their own observation checklists; when expressing interpretive views, we minimise expression and focus on "how to read data, how to implement". In phases where pressure and liquidity coexist, adherence to a single framework of recording and discipline tends to be more reliable than betting on any one short-term direction.
When capital moves from on-chain addresses into exchanges, the common implication is that price discovery becomes more dependent on venue liquidity. A rising share of large deposits signals that both selling pressure and order matching are likely to concentrate over shorter windows, increasing the sensitivity of prices to depth. Combined with the expansion in average ETH deposit size and active turnover in altcoins, the pattern suggests "intensive trading without directional conviction": volatility hinges more on incremental information and marginal flows than on any single unifying narrative. For participants focused on crypto trading, the priority is not forecasting the next candlestick, but maintaining records within a consistent indicator framework so that position decisions stay aligned with observable facts.
In such conditions, placing "recording before judging" as the primary rule is a steadier approach. Review, at fixed intervals, several accessible and verifiable metrics: total BTC-ETH exchange inflows, the share of large single deposits, the 7-day, 30-day and 90-day percentiles of perpetual funding rates and basis, and the range of changes in order-book impact cost. When inflows and leverage indicators rise together into high percentiles, prioritise partial profit-taking and reduced concentration; when inflows climb while funding rates fall into low percentiles, shift attention to depth conditions and execution price to avoid emotional chasing and unnecessary slippage. The aim is not to "capture every move", but to manage return and risk within the same rhythm.
From a sentiment perspective, selling pressure and active liquidity can coexist. Weak hands surrender inventory during pullbacks, and patient capital absorbs at better prices — a recurring image in crypto markets. The key lies in acknowledging uncertainty and converting it into actionable structure: preset layered take-profit levels, apply time dispersion, and reduce leverage and concentration when volatility expands. Whether short-term or medium-to-long-term, if the method remains consistent, the equity curve becomes easier to contain within an acceptable band.
In terms of communication, Catcrs favours disciplined annotation over dramatic slogans. We place verifiable data first, provide clear timestamps and definitions, and enable readers to build their own observation checklists; when expressing interpretive views, we minimise expression and focus on "how to read data, how to implement". In phases where pressure and liquidity coexist, adherence to a single framework of recording and discipline tends to be more reliable than betting on any one short-term direction.