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The 2025 Radiant Capital hack is not just a cautionary tale of cybersecurity vulnerabilities but a masterclass in strategic swing trading within a defined price range. By exploiting Ethereum’s (ETH) $4,000–$5,000 range, the hacker transformed $53 million in stolen funds into $103 million through disciplined technical analysis, liquidity management, and market timing. This case study offers actionable insights for investors navigating range-bound markets.
Ethereum’s price action in 2025 was characterized by tight consolidation between $4,000 and $5,000, a pattern confirmed by on-chain data showing declining exchange holdings and RSI oscillations [1]. The hacker’s approach mirrored classical swing trading principles: selling at resistance levels ($4,500–$4,600) and reaccumulating at support levels ($4,100–$4,200). For instance, they sold 9,631 ETH at $4,562 and repurchased 2,109.5 ETH at $4,096, locking in profits while minimizing downside risk [1]. This strategy leveraged Ethereum’s predictable volatility, a hallmark of range-bound markets.
Technical indicators played a critical role. The RSI and MACD suggested potential breakouts or consolidations, guiding the hacker’s entry and exit points [1]. A backtest of a similar RSI-based strategy from 2022 to 2025 yielded a 282.7% total return, with an annualized return of 36.4% and a Sharpe ratio of 0.79 [2]. However, the strategy’s success hinged on strict risk management, as the strategy faced a maximum drawdown of –72.8% during its history [2], and the hacker’s $141.6 million ETH purchase caused a 6.9% price drop, exposing the fragility of liquidity in such markets [2].
The hacker’s use of stablecoins like DAI to repurchase ETH at lower price points exemplifies a “buy-the-dip” strategy. By converting stolen assets into 21,957 ETH and waiting for a 100% price surge by January 2025, they capitalized on Ethereum’s bull market phase [1]. This approach mirrors institutional strategies of dollar-cost averaging, but with a twist: the hacker timed their reentries during dips, using stablecoins to avoid slippage and maintain capital efficiency.

While the hacker’s strategy was profitable, it also exposed systemic risks. Large-scale trades can destabilize markets, as seen when the hacker’s $141.6 million ETH purchase triggered a 6.9% price drop [2]. This underscores the need for liquidity management tools like stop-loss orders and on-chain monitoring to detect whale movements [2]. Additionally, the hacker’s use of decentralized exchanges (DEXs) to obscure their footprint highlights the importance of protocol-level safeguards, such as dynamic fees or circuit breakers, to mitigate manipulation risks [2].
The Radiant Capital hacker’s strategy demonstrates that range-bound markets offer opportunities for disciplined traders. Key takeaways include:
1. Technical Discipline: Use RSI and MACD to identify support/resistance levels.
2. Liquidity Management: Employ stablecoins to execute low-slippage trades during dips.
3. Risk Mitigation: Implement stop-loss orders and monitor large wallet movements.
While the ethical implications of the hack are undeniable, the tactics employed reflect a sophisticated understanding of market dynamics. For investors, the lesson is clear: in a range-bound ETH market, patience, technical rigor, and liquidity awareness can yield outsized returns—even in the hands of a rogue actor.
Source:
[1] Exploiting Ethereum's Range-Bound Volatility: A Strategic Case Study [https://www.ainvest.com/news/exploiting-ethereum-range-bound-volatility-strategic-case-swing-trading-radiant-capital-hacker-moves-2508/]
[2] The Radiant Capital Hack: A Case Study in How Stolen Crypto Outperform Institutional Portfolios [https://www.ainvest.com/news/radiant-capital-hack-case-study-stolen-crypto-outperform-institutional-portfolios-2508/]
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