盈透证券通过退休计划功能增强金融工具

币界网Published on 2024-07-24Last updated on 2024-07-24

币界网报道:

盈透证券通过整合退休规划师升级了其投资组合管理工具。这是对该平台的重大升级,该平台已经提供了用户财务的分析和统一视图。

自定义财务数据

新产品旨在通过允许用户定制财务数据和设定个性化目标来提高退休准备。据报道,通过这一最新更新,用户可以利用退休计划来评估他们的退休准备情况。

根据该公司今天(星期三)的一份声明,该工具允许个人输入详细的财务数据,并评估他们的现金流是否能够维持他们的退休计划。通过提供个性化的方法,退休规划师帮助用户有效地设定和跟踪他们的财务目标。

营销营销执行副总裁Steve Sanders在评论新产品时将营销定义为识别、预测和满足客户需求和欲望的业务流程。这是金融服务领域任何运营或经纪业务的关键要素。资金充足的营销活动对于这些公司在竞争日益激烈的行业中的生存和长寿至关重要。在外汇领域,营销人员执行广泛的职能,以帮助获取、保护或留住客户。特别是,新的外汇经纪商也有市场营销的定义,即识别、预测和满足客户需求和欲望的业务流程。这是金融服务领域任何运营或经纪业务的关键要素。资金充足的营销活动对于这些公司在竞争日益激烈的行业中的生存和长寿至关重要。在外汇领域,营销人员执行广泛的职能,以帮助获取、保护或留住客户。特别是,新的外汇经纪商也没有阅读本条款。盈透证券的产品开发部表示:“投资组合分析师提供了清晰全面的持股和资产情况。从熟练的交易员到初学者,任何人都可以使用它来跟踪和评估他们的投资组合,管理他们的财务,并取得财务成功。”

投资组合分析师支持广泛的账户,包括经纪、银行、信用卡等。通过连接15000多家金融机构,它提供了所有资产和负债的详细快照。该平台的多托管解决方案和可定制的报告功能旨在提供对风险指标、基准和绩效归因的见解。

特征

退休规划师的加入与投资组合分析师的目标相一致,即进行高级投资组合分析。分析分析可以被定义为检测、分析和传递数据中的重要模式。分析还试图解释或准确反映数据与有效决策之间的关系。在交易领域,分析以预测的方式应用,试图更准确地预测价格。这种预测分析模型通常涉及对历史价格模式的分析,这些模式用于确定某些价格结果。分析可以被定义为检测、分析和传递数据中的结果模式。分析还试图解释或准确反映数据与有效决策之间的关系。在交易领域,分析以预测的方式应用,试图更准确地预测价格。这种预测分析模型通常涉及对历史价格模式的分析,这些模式用于确定某些价格结果。所有投资者都可以阅读本条款。盈透证券营销和产品开发执行副总裁Steve Sanders强调了该工具的多功能性。该平台的集成工具支持用户跟踪其投资组合分配、重新平衡,并确保其财务战略与长期退休目标保持一致。

最近,盈透证券公布了2024年第二季度令人印象深刻的财务业绩,突显出收益和收入的扩张。这家经纪公司公布的摊薄每股收益(EPS)为1.65美元,比去年同期的1.20美元增长了37%。

IB的每股收益为1.76美元,同比增长33%,高于1.32美元。该公司的净收入为12.30亿美元(同比增长23%),调整后的净收入达到12.9亿美元(环比增长21%),而前一年分别为10亿美元和10.64亿美元。此外,这家经纪巨头与汇丰银行合作,允许客户在一个平台上进入全球交易市场。

Related Reads

The Pioneer of AI Boomerang Job-Hopping: No Ph.D., Fought Over by Top AI Labs in Silicon Valley

"AI's Boomerang Hire: The Unconventional Career of Barret Zoph Who is known as the first practitioner of 'boomerang hiring' in AI? Barret Zoph, now a Research VP at Google DeepMind, has an unconventional resume: former Senior Research Scientist at Google Brain, former VP of Post-Training Research at OpenAI, former co-founder/CTO of Thinking Machines Lab, former OpenAI Codex commercialization lead—all without a PhD. Zoph's career began at Google Brain in 2016 after his USC bachelor's degree. He co-authored the seminal "Neural Architecture Search with Reinforcement Learning," helping pioneer the NAS field. His later work included co-authoring the Switch Transformer, a key model for trillion-parameter scale training. He joined OpenAI in 2022, rising to VP focusing on reinforcement learning for post-training—a crucial step in aligning models like ChatGPT. USC later listed him among alumni who "paved the path for ChatGPT." In 2025, he co-founded Thinking Machines Lab with ex-OpenAI CTO Mira Murati but left under controversial circumstances less than a year later, returning briefly to OpenAI before his final move back to Google in 2026. His hiring coincides with significant talent churn at Google DeepMind. Data shows DeepMind's senior talent inflow/outflow ratio has sharply declined from 12:1 in 2023 to 2:1 in 2026, meaning for every two hires, one leaves—a stark contrast to Anthropic (22:1) and OpenAI (5.7:1). Key departures include founders and Nobel laureates moving to rivals. This fluid, sports-like transfer market for elite AI researchers is driven not just by pay but by competitive positioning, pre-IPO equity at startups, and concerns over shifting research priorities at large firms like Google as they focus more on commercial products like Gemini."

marsbit16m ago

The Pioneer of AI Boomerang Job-Hopping: No Ph.D., Fought Over by Top AI Labs in Silicon Valley

marsbit16m ago

Bitcoin Stabilizes at $80,000, How Do Institutions and Smart Money View the Future Market?

Bitcoin has consolidated around the $80,000 level following a record-breaking weekly dollar gain, pushing the price up 23.5% from August 17-23. Market focus is now on whether it can decisively overcome a significant resistance cluster between $81,000 and $86,000. This zone represents a critical supply wall, containing nearly 8% of the circulating supply and the average cost basis for major US spot Bitcoin ETFs. Analysis from Glassnode indicates the recent rally was fueled by substantial spot buying, evidenced by ETF inflows and declining exchange balances, rather than excessive leverage. Futures open interest has decreased, with cash/stablecoin margins dominating. While US ETF flows remain a key bullish driver, the market faces a crucial test. A successful break above the $81k-$82k resistance and the 50-week moving average (approx. $81,081) could signal a broader trend reversal. Failure may lead to a retracement toward the $75,000 support level. Institutional views are mixed but generally cautious. CryptoQuant highlights potential seasonal weakness in September, while CoinShares sees a likely trading range, requiring weaker jobs data for a sustained push toward $100k. K33 Research draws parallels to past cycle starts, and Bitwise suggests the bottoming process is advanced. Overall, the market is at a pivotal point, with the battle around $80k determining the near-term direction.

marsbit31m ago

Bitcoin Stabilizes at $80,000, How Do Institutions and Smart Money View the Future Market?

marsbit31m ago

Trading

Spot
活动图片