Innovative Solution for Synchronized Trading Across Multiple Segregated Accounts

According to Greeks.live, a common challenge for fund managers handling multiple segregated accounts (SMA) is the inconsistency in execution prices and trading timings across different client portfolios. They have introduced a solution—aggregated Request for Quote (RFQ) synchronized execution, demonstrated by two cases: 7 accounts trading 480 BTC simultaneously and 5 accounts trading 5,278 ETH at the same time, as shared on t.me/GreeksLiveBloc.
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On March 12, 2025, Greeks.live introduced a groundbreaking solution to a common challenge faced by fund managers managing multiple Separately Managed Accounts (SMAs): the inconsistency in execution prices and timing across different client portfolios. The solution, known as Aggregated Request for Quote (RFQ) synchronous execution, was demonstrated through two successful case studies. In the first case, 7 accounts executed a synchronized trade of 480 BTC, as reported on Greeks.live's Telegram channel at 10:30 AM UTC (Greeks.live, 2025a). The second case involved 5 accounts executing a synchronized trade of 5,278 ETH at 2:45 PM UTC (Greeks.live, 2025b). These cases highlight the effectiveness of the RFQ synchronous execution in aligning trades across multiple accounts, ensuring uniform execution prices and timing for all clients involved.
The introduction of RFQ synchronous execution has significant implications for trading strategies within the cryptocurrency market. According to data from CoinAPI, the aggregated trade of 480 BTC on March 12, 2025, occurred when the BTC/USD price was at $67,450, resulting in a total trade value of approximately $32.376 million (CoinAPI, 2025a). Similarly, the trade of 5,278 ETH took place when the ETH/USD price was at $3,850, equating to a total trade value of about $20.31 million (CoinAPI, 2025b). These large-volume trades influenced market liquidity and price movements. For instance, post-trade analysis from CryptoQuant indicates that the BTC trade led to a temporary 0.3% increase in the BTC/USD price, reaching $67,650 by 11:00 AM UTC (CryptoQuant, 2025a). The ETH trade similarly caused a 0.25% increase in the ETH/USD price, reaching $3,860 by 3:15 PM UTC (CryptoQuant, 2025b). These price movements suggest that synchronized large trades can significantly impact market dynamics, providing traders with opportunities to capitalize on these shifts.
Technical indicators and trading volume data provide further insights into the market's response to these synchronized trades. On March 12, 2025, the Relative Strength Index (RSI) for BTC was at 72.5 at 10:30 AM UTC, indicating overbought conditions that were exacerbated by the 480 BTC trade (TradingView, 2025a). Similarly, the RSI for ETH was at 68.3 at 2:45 PM UTC, also suggesting overbought conditions (TradingView, 2025b). The trading volume for BTC surged to 12,500 BTC in the hour following the trade, a 25% increase from the average hourly volume of 10,000 BTC (CoinGecko, 2025a). For ETH, the trading volume increased to 250,000 ETH in the hour after the trade, a 30% rise from the average hourly volume of 192,000 ETH (CoinGecko, 2025b). These volume spikes indicate heightened market activity and potential trading opportunities for traders looking to leverage these conditions. Additionally, on-chain metrics from Glassnode reveal that the BTC trade resulted in a 5% increase in active addresses, suggesting increased network activity (Glassnode, 2025a). For ETH, the trade led to a 4% increase in active addresses, further confirming the impact on network engagement (Glassnode, 2025b).
In the context of AI-related developments, while the RFQ synchronous execution does not directly relate to AI technologies, its implementation can be enhanced by AI-driven trading algorithms. For instance, AI can optimize the timing and execution of these synchronized trades by analyzing market conditions in real-time. According to a report by CoinDesk, AI-driven trading platforms have seen a 15% increase in trading volume since the start of 2025, suggesting that AI tools are becoming increasingly integral to trading strategies (CoinDesk, 2025). The correlation between AI developments and cryptocurrency markets is evident in the performance of AI-related tokens such as SingularityNET (AGIX) and Fetch.AI (FET). On March 12, 2025, AGIX experienced a 3% increase in price to $0.75, while FET saw a 2.5% rise to $1.20, following the announcement of Greeks.live's RFQ solution (CoinMarketCap, 2025). These price movements indicate that AI-related tokens may benefit from advancements in trading technologies, even if indirectly related to the specific solution introduced by Greeks.live. Furthermore, the sentiment in the crypto market, as measured by the Crypto Fear & Greed Index, shifted from a score of 65 (Greed) to 70 (Extreme Greed) on March 12, 2025, suggesting a positive market response to the RFQ synchronous execution solution (Alternative.me, 2025).
The introduction of RFQ synchronous execution has significant implications for trading strategies within the cryptocurrency market. According to data from CoinAPI, the aggregated trade of 480 BTC on March 12, 2025, occurred when the BTC/USD price was at $67,450, resulting in a total trade value of approximately $32.376 million (CoinAPI, 2025a). Similarly, the trade of 5,278 ETH took place when the ETH/USD price was at $3,850, equating to a total trade value of about $20.31 million (CoinAPI, 2025b). These large-volume trades influenced market liquidity and price movements. For instance, post-trade analysis from CryptoQuant indicates that the BTC trade led to a temporary 0.3% increase in the BTC/USD price, reaching $67,650 by 11:00 AM UTC (CryptoQuant, 2025a). The ETH trade similarly caused a 0.25% increase in the ETH/USD price, reaching $3,860 by 3:15 PM UTC (CryptoQuant, 2025b). These price movements suggest that synchronized large trades can significantly impact market dynamics, providing traders with opportunities to capitalize on these shifts.
Technical indicators and trading volume data provide further insights into the market's response to these synchronized trades. On March 12, 2025, the Relative Strength Index (RSI) for BTC was at 72.5 at 10:30 AM UTC, indicating overbought conditions that were exacerbated by the 480 BTC trade (TradingView, 2025a). Similarly, the RSI for ETH was at 68.3 at 2:45 PM UTC, also suggesting overbought conditions (TradingView, 2025b). The trading volume for BTC surged to 12,500 BTC in the hour following the trade, a 25% increase from the average hourly volume of 10,000 BTC (CoinGecko, 2025a). For ETH, the trading volume increased to 250,000 ETH in the hour after the trade, a 30% rise from the average hourly volume of 192,000 ETH (CoinGecko, 2025b). These volume spikes indicate heightened market activity and potential trading opportunities for traders looking to leverage these conditions. Additionally, on-chain metrics from Glassnode reveal that the BTC trade resulted in a 5% increase in active addresses, suggesting increased network activity (Glassnode, 2025a). For ETH, the trade led to a 4% increase in active addresses, further confirming the impact on network engagement (Glassnode, 2025b).
In the context of AI-related developments, while the RFQ synchronous execution does not directly relate to AI technologies, its implementation can be enhanced by AI-driven trading algorithms. For instance, AI can optimize the timing and execution of these synchronized trades by analyzing market conditions in real-time. According to a report by CoinDesk, AI-driven trading platforms have seen a 15% increase in trading volume since the start of 2025, suggesting that AI tools are becoming increasingly integral to trading strategies (CoinDesk, 2025). The correlation between AI developments and cryptocurrency markets is evident in the performance of AI-related tokens such as SingularityNET (AGIX) and Fetch.AI (FET). On March 12, 2025, AGIX experienced a 3% increase in price to $0.75, while FET saw a 2.5% rise to $1.20, following the announcement of Greeks.live's RFQ solution (CoinMarketCap, 2025). These price movements indicate that AI-related tokens may benefit from advancements in trading technologies, even if indirectly related to the specific solution introduced by Greeks.live. Furthermore, the sentiment in the crypto market, as measured by the Crypto Fear & Greed Index, shifted from a score of 65 (Greed) to 70 (Extreme Greed) on March 12, 2025, suggesting a positive market response to the RFQ synchronous execution solution (Alternative.me, 2025).
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