According to Greeks.live, fund managers overseeing multiple Separately Managed Accounts (SMAs) face challenges with inconsistent execution prices and timing during large cryptocurrency trades. Greeks.live addresses this issue by implementing Aggregated Request for Quote (RFQ), allowing managers to combine orders from several accounts—in this example, 7 accounts trading a total of 480 BTC—into a single bulk trade. This aggregation improves price consistency and execution efficiency, reducing slippage and offering better average execution for all participating accounts. For crypto traders and institutional investors, this innovation enhances liquidity access and could lead to tighter spreads and improved trading outcomes in the BTC market (Source: Greeks.live, June 23, 2025).

According to Greeks.live, fund managers controlling multiple Separately Managed Accounts (SMAs) often face challenges with inconsistent execution prices and timing during cryptocurrency trades. Greeks.live addresses this with an Aggregated Request for Quote (RFQ) system, which allows managers to group trades from several accounts—such as the example of 7 accounts trading 480 BTC together—into a single block order. This aggregation improves execution consistency and typically results in more favorable pricing and lower slippage, directly benefiting trading efficiency and portfolio performance. Reliable aggregation methods are increasingly relevant for institutional managers seeking to optimize large BTC transactions and minimize execution risk in volatile crypto markets (Source: Greeks.live, June 5, 2025).

According to Greeks.live, fund managers overseeing multiple Separately Managed Accounts (SMAs) frequently face challenges with inconsistent execution prices and timing across client portfolios. Greeks.live addresses this issue through Aggregated Request for Quote (RFQ), allowing managers to execute trades for multiple accounts—such as a combined 480 BTC trade across 7 portfolios—in a single, unified transaction. This solution delivers uniform pricing, improved liquidity, and streamlined execution times, which can lead to more efficient crypto portfolio management and better risk management for institutional investors. The adoption of aggregated RFQ trading directly impacts crypto market liquidity and pricing consistency, making it a critical advancement for professional traders and fund managers (Source: Greeks.live, May 29, 2025).

According to @GreeksLive, fund managers handling multiple Separately Managed Accounts (SMAs) face challenges with inconsistent execution prices and timing across different portfolios. The introduction of Aggregated Request for Quote (RFQ) offers a solution by allowing simultaneous trading for multiple accounts, exemplified by 7 accounts trading 480 BTC together. This strategy improves trading efficiency and price consistency, making it crucial for fund managers aiming for optimized execution in cryptocurrency markets.

According to [source], fund managers dealing with multiple Separately Managed Accounts (SMAs) face challenges in achieving consistent execution prices and timing. By utilizing Aggregated Request for Quote (RFQ), these managers can batch trades across accounts, as demonstrated in a case where 7 accounts executed a trade of 480 BTC collectively. This method streamlines the process, potentially reducing slippage and improving efficiency in cryptocurrency markets.

According to Greeks.live, fund managers managing multiple Separately Managed Accounts (SMAs) face challenges with inconsistent execution prices and timing. The Aggregated Request for Quote (RFQ) method addresses these issues, allowing for simultaneous trading across accounts, exemplified by 7 accounts trading 480 BTC together.

According to Greeks.live, fund managers managing multiple Separately Managed Accounts (SMAs) face challenges with inconsistent execution prices and timing. They propose a solution using Aggregated Request for Quote (RFQ), exemplified by 7 accounts trading 480 BTC collectively, aiming to streamline execution across client portfolios.