Anonymous cryptocurrency trader Eugene Ng Ah Sio is doubling down on a high-risk, high-reward strategy in the face of August 2024’s tumultuous market conditions.
What Happened: His approach, which he describes as “longing ahead of a regime change,” is based on the principle that potential gains far outweigh the risks in the current crypto landscape.
This strategy led to a notable $3 million profit on a well-timed Solana SOL/USD trade, even as Bitcoin‘s BTC/USD price swung dramatically between $50,000 and $60,000 throughout the month. In total, the trader made a profit of $1.9 million in August.
Eugene’s trading log reveals a series of calculated risks in a market characterized by rapid price movements.
“I would still adopt the same strategy of longing ahead of a regime change, simply because the payoff of being right is so much more than the downside of being wrong,” Ng stated, underlining his commitment to the approach despite short-term setbacks.
The trader’s month began with challenges as Bitcoin’s sudden drop to $50,000 triggered stop-losses.
However, Eugene’s persistence paid off with successful entries on both Solana and Ethereum, yielding approximately 10% gains on substantial positions.
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The highlight came on Aug. 8, with a $3 million profit from a SOL trade, entering at $141 and exiting at $157.
Eugene’s strategy wasn’t without its pitfalls.
He noted missed opportunities in the meme coin sector, where potential 25-30% gains on tokens like WIF WIF/USD, PEPE PEPE/USD and FLOKI FLOKI/USD were cut short at 5-7% due to early exits.
The trader acknowledged the difficulty of perfect execution in such a volatile environment, stating, “This month really required absolutely perfect execution because the meat of the moves happened so quickly.”
What’s Next: Looking ahead, Ng remains cautious about September’s market outlook, stating he holds “no long-term biases for September.”
The upcoming Benzinga Future of Digital Assets event on Nov. 19 could provide a valuable platform for further discussion on such high-risk, high-reward approaches.
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