Young Crypto Whiz Nets $1.5M Using Single-Sided Quoting Strategy

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Young Crypto Whiz Nets $1.5M Using Single-Sided Quoting Strategy

Obscure trader dominates exchange liquidity and racks up $1.5 million in just two weeks


Small Account, Massive Impact

In a feat that stunned even seasoned observers, an anonymous crypto trader has reportedly turned just $6,800 into $1.5 million using an unconventional and tightly controlled market-making strategy. According to Adverse Selectee, the account held less than $200,000 in equity yet generated over $1.4 billion in trading volume in just two weeks.

Despite the modest account size, the trader accounted for more than 3% of maker-side volume on a major centralized exchange — a level of activity rarely achieved by retail participants.

Source: @Versace_Trader

One-Sided Order Book Strategy Confounds the Norm

The trader employed a single-sided quoting method, placing orders only on the bid or ask side of the order book at any given time — a tactic that typically increases exposure to adverse selection. This is a scenario in which better-informed traders may exploit static quotes.

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Yet, the trader sustained consistent profits, all while keeping maximum drawdown to just 6.48% — an impressive feat under volatile crypto conditions.


Tightly Managed Risk, Market-Neutral Design

According to trader and commentator @Versace_Trader, the account’s net delta exposure rarely exceeds $100,000, suggesting a market-neutral strategy built on careful position management and advanced execution tools.

The account relies exclusively on perpetual futures, with no activity in spot holdings or staking. Such a focus aligns with high-frequency trading (HFT) and automated market-making (AMM) strategies, which often leverage low-latency infrastructure and colocated servers for speed advantages.


Profit Before Price Moves? Thank Maker Rebates

Part of the secret lies in the use of maker rebates. The account benefits from a -0.0030% maker fee, which rewards traders for providing liquidity. This means the trader profits even before price action is factored in, thanks to smart quoting logic and execution precision.

As of the latest snapshot, the trader holds a $175,000 long on Solana (SOL/USDT) and a $20,000 short on Dogecoin (DOGE/USDT) — showcasing real-time directional bets layered onto a risk-managed trading engine.

Crypto trader dashboard. Source: hypurrscan.io
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