Could Bitcoin miner sell pressure indicate further upside potential?

cryptoslatePublished on 2022-11-07Last updated on 2022-11-08

Abstract

Bitcoin miners have been selling BTC holdings at a rate not seen since early 2021.

Bitcoin miners have been selling BTC holdings at a rate not seen since early 2021. Further, the persistence of the negative net position change has not occurred since 2017. Miners consistently sold Bitcoin for the past three months at an aggressive rate likely to cover liabilities such as energy bills and loans.

btc mineres

Source: Glassnode

Since 2020, miners’ net Bitcoin positions have turned negative on five occasions. Bitcoin saw a major price increase in four of those five occurrences during the following months. There was also sustained selling from Bitcoin miners throughout the entirety of the 2017 bull run.

While miners selling Bitcoin can be seen as a symptom of an underperforming market, it has also historically been a precursor to upside movement in Bitcoin’s price.

The only periods in Bitcoin’s existence when miner accumulation occurred alongside bullish sentiment were after the COVID crash of May 2020 and as Bitcoin hit its all-time high in Nov. 2021.

Miners, however, are transferring increasingly less Bitcoin onto exchanges. Whether the explanation is related to the failure of several exchanges during the bear market or the increased availability of P2P OTC trades is unknown.

The chat below highlights the volume of Bitcoin sent to exchanges from miners since 2016. There have been no spikes in volume during 2022, but there has been consistent transferring of Bitcoin to exchanges. Bitcoin miners are selling coins at an accelerated pace which could be indicative of future upside potential.

btc transfer volume

Source: Glassnode

Related Reads

Bitcoin Trading Strategy Breakdown: Celebrity Predictions and Classic Models All Fail, Only These Four Indicators Remain

Analysis of Bitcoin Trading Strategies: Why Celebrity Forecasts and Classic Models Fail, Leaving Only These Four Reliable Indicators This analysis examines the failure of common Bitcoin prediction methods and identifies four reliable indicators for constructing a trading strategy. The author reviewed all major BTC prediction approaches from 2017-2025, categorizing them into three groups: celebrity price targets (consistently over-optimistic), analytical models like Stock-to-Flow (broken post-2022), and on-chain signals. The key finding is that more data often creates confusion, not clarity. The strategy discards unreliable elements: celebrity predictions (incentivized to be extreme), pure models (invalidated by post-ETF market changes), and the Fear & Greed Index used alone (too many false signals). Four reliable indicators were selected: 1. **MVRV Z-Score:** Accurately identifies cycle bottoms when entering its green zone (e.g., 2018, 2020, 2022). Note: Its ability to call tops is now ineffective post-2024. 2. **SOPR (28-day MA):** Consistently signals bottoms when below 1.0, indicating holders are selling at a loss. 3. **ETF Net Flow:** A crucial post-2024 metric showing institutional momentum (e.g., sustained inflows = buying). 4. **Macro Liquidity (Fed policy & M2):** Sets the overall directional bias (e.g., bullish during easing cycles). The core strategy involves waiting for a multi-signal共振 (resonance). For example, a bottom signal requires MVRV in the green zone + SOPR < 1.0. A top signal requires overheated on-chain data + sustained ETF outflows. Macro policy sets the overall direction. The Fear & Greed Index is only used as a weighted confirmatory signal, never alone. Action is only taken when three or more indicators align. The author automated this into a monitoring system that sends Telegram alerts only when signals trigger. As of the article's date (April 15, 2026), the system showed a strong bottom signal: extreme fear (F&G=12), MVRV in the buy zone, and SOPR < 1.0. The only contrary signal was weak ETF flows. Historically, such triple on-chain共振 has preceded 100%+ returns. The conclusion emphasizes building a personal framework over relying on external predictions, allowing for iterative improvement and customization based on individual risk tolerance.

marsbit2h ago

Bitcoin Trading Strategy Breakdown: Celebrity Predictions and Classic Models All Fail, Only These Four Indicators Remain

marsbit2h ago

Trading

Spot
Futures
活动图片