Core Insights - The JPMorgan Carbon Transition U.S. Equity ETF (JCTR US) focuses on large- and mid-cap U.S. equities from the Russell 1000 Index, which includes the largest 1,000 U.S. companies by free-float market capitalization [1] Group 1: Portfolio Construction Methodology - The underlying index excludes companies involved in controversial activities such as weapons, fossil fuels, gambling, adult entertainment, and severe violations of the United Nations Global Compact, as well as the sponsor's own stock [1] - Each remaining company is assigned a Carbon Transition Score based on seven indicator groups across three pillars: emissions, resource management, and risk management [1] - A multi-stage optimization process reweights securities to favor those with higher Carbon Transition Scores while maintaining sector weights similar to the Russell 1000 [1] - The strategy enforces stock-level liquidity caps based on median daily volume, a 10% turnover cap per quarterly rebalance, and adheres to EU Climate Transition Benchmark rules, requiring at least a 30% reduction in weighted-average carbon intensity compared to the Russell 1000 and a 7% annual decarbonization trajectory [1]

Collaboration and Integration - FTSE Russell 与 Chainlink 合作，通过 DataLink 首次将其全球领先的全球指数发布到链上 [1] - DataLink 利用 Chainlink 的基础设施，使机构能够无缝地在链上分发和商业化其数据 [5] - 通过将 FTSE Russell 基准引入链上，DataLink 加速了机构对数字资产的采用 [5] Index Overview - FTSE Russell 指数在全球范围内被广泛采用，覆盖全球 98% 的可投资市场 [2] - Russell 1000 指数由约 1000 家最大的美国上市公司组成，代表美国股市的大盘股部分，平均市值超过 12000 亿美元 [2] - Russell 2000 指数追踪约 2000 只美国小盘股，通常被认为是美国小盘股表现的领先基准 [2] - Russell 3000 指数包含约 3000 只美国股票，约占美国可投资股票市场的 98%，是美国股市的广泛基准 [3] - FTSE 100 指数追踪在伦敦证券交易所上市的 100 家市值最大的公司，是英国蓝筹股的主要业绩指标 [3] Data and Benchmarks - WMR FX 基准提供全球认可的外汇基准利率，供机构用于货币估值、交易和指数构建 [4] - FTSE DAR 数字资产价格提供独立计算的数字资产价格，来源于经过审查的交易所，以满足机构数据标准 [4] - FTSE 数字资产为数字资产市场提供机构级基准，覆盖约 95% 的合格数字资产，并按季度进行重新平衡 [4] Impact and Application - DataLink 将基础机构用例引入区块链经济，同时使链上应用程序能够更快地启动新资产和市场 [6] - 通过 DataLink，罗素 1000 指数、罗素 2000 指数、罗素 3000 指数、富时 100 指数、WMR FX 基准、富时 DAR 数字资产价格和富时数字资产指数将在 40 多个区块链上可用 [1]

Core Insights - The Franklin U.S. Large Cap Multifactor Index ETF (FLQL) offers broad exposure to the Style Box - Large Cap Blend category and debuted on April 26, 2017 [1] - The fund is designed to outperform traditional market cap weighted indexes by utilizing a multi-factor selection process [6] Fund Overview - Sponsored by Franklin Templeton Investments, FLQL has amassed over $1.61 billion in assets, making it one of the larger ETFs in its category [5] - The ETF seeks to match the performance of the LibertyQ US Large Cap Equity Index, which aims for lower risk and higher risk-adjusted performance compared to the Russell 1000 Index [6] Cost Structure - FLQL has an annual operating expense ratio of 0.15%, making it one of the cheaper options in the market [7] - The fund has a 12-month trailing dividend yield of 1.13% [7] Sector Exposure and Holdings - The ETF's largest allocation is in the Information Technology sector, comprising approximately 35% of the portfolio [8] - Nvidia Corp (NVDA) is the top holding at about 6.42% of total assets, followed by Microsoft Corp (MSFT) and Apple Inc (AAPL) [9] - The top 10 holdings account for around 34.29% of total assets under management [9] Performance Metrics - As of August 13, 2025, FLQL has returned approximately 13.39% year-to-date and 23.47% over the past year [11] - The fund has a beta of 0.94 and a standard deviation of 16.24% over the trailing three-year period, indicating effective diversification of company-specific risk [11] Alternatives - Other ETFs in the same space include SPDR S&P 500 ETF (SPY) and Vanguard S&P 500 ETF (VOO), with assets of $657.19 billion and $722.37 billion respectively [12] - SPY has an expense ratio of 0.09% while VOO charges 0.03% [12]