On October 4, Michael Lewis said in his new book "Going Infinite" about SBF that since the establishment of Alameda Research in 2017, SBF, who was only 26 years old, had raised nearly $170 million from the effective altruism community. SBF invested these funds in the cryptocurrency market and lost millions of dollars in the first few months. In one month, it lost more than $500,000 a day, and some trading funds simply disappeared due to poor fund management. In addition, SBF used a robot program called Modelbot to trade nearly 500 tokens on about 30 exchanges, but the program did not distinguish between highly liquid cryptocurrencies such as Bitcoin and Ethereum and meme coins with sparse trading volume, which aroused the concerns of early Alameda employees. The situation did not improve until Gary Wang and Nishad Singh joined the company. It is said that Wang wrote a quantitative trading system and eventually began to make money for Alameda, while Singh integrated various parts to manage the company.