In February, the overall crypto market showed a weak trend, with notable outflows from BTC ETFs. Major blockchains remained stable throughout the month, with Solana leading by a wide margin at over 100 million daily transactions. Ethereum recorded 13.34 million unique active addresses, maintaining its second-highest level in history. TradFi trading volume on Perp DEXs surged to $47.3 billion, largely driven by Hyperliquid’s HIP-3. The Web3 sector completed 46 funding rounds totaling $986 million, with the top 10 projects accounting for $793 million—three major deals were led by Tether. Meanwhile, Web3 security incidents declined significantly month-over-month, though smart contract vulnerabilities remained the primary risk source.
2026-03-20 07:14:50
Gate Research: Over the past two weeks, the crypto market has transitioned from a post-deleveraging compression phase into a low-crowding recovery phase. BTC posted a range gain of approximately 2.2%, while ETH rose about 9.5%; measured from local lows to highs, their recovery magnitudes reached roughly 15.8% and 24.9%, respectively. This report analyzes recent market dynamics in BTC and ETH by examining price volatility, account long/short ratios, open interest, ETF net inflows, funding rates, and liquidation structures. It also reviews live trading signals, parameter sensitivity, and strategy performance over the past two weeks using a 4-hour dense moving average breakout strategy, highlighting that the market has gradually shifted from a defensive recovery phase to a trend-following trading environment.
2026-03-20 02:01:30
Gate Research: Large language models and AI agent technologies are pushing trading systems into a new stage of development. Quantitative trading, which previously relied heavily on programming skills and complex engineering systems, is gradually evolving into product forms with much lower barriers to entry. Gate has introduced products such as AI Quant Workspace and Gate for AI, which aim to integrate strategy generation, backtesting, and automated execution within a single platform through natural language interaction, no-code quant tools, and unified trading interfaces, allowing more users to participate in strategy trading. As AI technology continues to mature, trading platforms are also evolving from traditional matching tools into AI-driven trading infrastructure.
2026-03-19 10:19:29
