According to @PelosiTracker_, a user copy-traded $1.25M on JoinAutopilot, allocating $234K to Nvidia (NVDA), $198K to Broadcom (AVGO), $151K to Google (GOOGL), and $122K to Vistra (VST) — source: @PelosiTracker_. Based on these disclosed amounts, the four buys total $705K or about 56.4% of the stated capital, with no other positions mentioned in the post — source: @PelosiTracker_. For trade sizing context, the listed allocations approximate 18.7% NVDA, 15.8% AVGO, 12.1% GOOGL, and 9.8% VST of the $1.25M, making NVDA the largest disclosed position — source: @PelosiTracker_.

According to @JoinAutopilot, over $70 million in assets are currently managed using the platform's automated tools to replicate Michael Burry’s trading strategies, enabling retail and institutional traders to execute similar stock positions. This trend, cited from @JoinAutopilot, is notable for its potential spillover into the crypto market, as algorithm-driven trading strategies—popularized in equities—are increasingly being adapted for digital assets. The transparency and automation offered by JoinAutopilot can empower crypto traders to utilize data-driven strategies mirroring influential investors, potentially impacting market sentiment and volatility, especially among tokens closely linked to AI and automated trading sectors (Source: @JoinAutopilot).

According to @PelosiTracker_, 'investing like a Politician' involves tracking public disclosures of lawmakers' stock trades and using platforms like @JoinAutopilot_ to automatically mirror these trades in user portfolios. This strategy leverages the timely and often market-moving information from politicians' financial activities, as required by the STOCK Act, to inform trading decisions. For crypto traders, monitoring these trades can provide early signals on sectors and assets likely to be influenced by upcoming legislation or regulatory changes, offering an edge in timing market entries and exits (Source: @PelosiTracker_ Twitter, June 4, 2025).