According to @BitMEXResearch, it was recognized in 2017 that Bitcoin’s SegWit witness discount could be used to store up to 4MB of non-monetary data per block, reflecting the 4 million weight unit design in BIP-141 (source: @BitMEXResearch; source: BIP-141). This means non-payment data directly competes for blockspace with monetary transactions and can increase fee pressure when demand for witness space rises, affecting the fee market dynamics traders face (source: BIP-141; source: Bitcoin.org Developer Guide). For traders, higher utilization of witness space can lift BTC on-chain transaction fees and extend confirmation times during congestion, impacting the timing and cost of exchange deposits and withdrawals during volatile sessions (source: Bitcoin.org Developer Guide). Miners can see a larger share of revenue from transaction fees when blockspace is scarce, a condition traders should track because elevated fees often coincide with congested mempools and higher settlement costs (source: Bitcoin.org Developer Guide).

According to @MilkRoadDaily, Ethereum apps now secure $330B in user assets. According to @MilkRoadDaily, that figure is nearly 10x Solana and 4x Tron. According to @MilkRoadDaily, this reflects sticky demand for Ethereum blockspace and security rather than just TVL. According to @MilkRoadDaily, this asset concentration strengthens the fundamental case for ETH for trading strategies focused on network demand and security.

According to @BitMEXResearch, a new report analyzes how Bitcoin Ordinals inscriptions affect node runners’ bandwidth, storage, and operating costs, linking these dynamics to BTC fee volatility and blockspace pricing. Source: https://blog.bitmex.com/ordinals-impact-on-node-runners/ For traders, the report highlights three actionable metrics to monitor during inscription activity: mempool size, median sat/vB fee rates, and block fullness, as these directly impact execution costs and settlement latency for BTC transactions. Source: https://blog.bitmex.com/ordinals-impact-on-node-runners/ The study’s focus is directly relevant to fee-derived miner revenues versus subsidies, a mix that can influence short-term hashprice and on-chain cost environment during periods of elevated inscriptions. Source: https://blog.bitmex.com/ordinals-impact-on-node-runners/

According to @MilkRoadDaily, Solana (SOL) has generated $1.25B in year-to-date revenue, nearly 2.5x Ethereum (ETH), framed as evidence of stronger blockspace demand with no other chain close, source: @MilkRoadDaily, X, Sep 8, 2025. For trading, this revenue gap provides a concrete on-chain activity metric to compare SOL versus ETH performance and to monitor demand-driven fee trends, source: @MilkRoadDaily.

According to @adam3us, on-chain 'JPEG' inscriptions climbed from 88 million in May to 105 million four months later, a 20% increase, source: @adam3us citing BitMEX Research. According to @adam3us, by May inscription-related fees totaled 7,000 BTC, which at a $100,000 BTC price equals $700 million and about $8 paid per JPEG on average, source: @adam3us citing BitMEX Research. According to @adam3us, the inscriptions are primarily implemented via Taproot, source: @adam3us citing BitMEX Research. According to @adam3us, traders can use these dataset points to monitor BTC fee levels, blockspace utilization, and inscription activity as inputs for assessing on-chain transaction costs and miner fee trends, source: @adam3us citing BitMEX Research.

According to @adam3us, as Bitcoin technology improves, cryptographic fungibility should increase and the blockchain will converge to a cryptographic accumulator where transactions become indistinguishable blobs, making censorship and filtering impractical (Source: @adam3us on X, Aug 20, 2025). For traders, his view implies blockspace demand from any use case can still bid for inclusion, so fee dynamics are set by aggregate demand rather than policy-based filtering; monitor mempool congestion, sat/vB fee bands, and miner fee share of revenue as leading signals for BTC volatility and miner income sensitivity (Source: @adam3us on X, Aug 20, 2025). If filtering becomes ineffective as argued, attempts to exclude transaction types would not sustainably suppress fees, keeping attention on fee-market liquidity and on-chain throughput constraints when positioning around BTC catalysts (Source: @adam3us on X, Aug 20, 2025).