Ethereum steadies above $4,000 as exchange outflows and Radiant Capital hacker trades may be influencing flows

Ethereum stabilizes above $4,000 as exchange outflows rise and the Radiant Capital hacker adds to holdings.

• Radiant hacker bought 2,109 ETH for 8.64M DAI at $4,096, after selling 9,631 ETH for $43.9M.

• Late July outflows spiked near -$150M as prices dipped toward $3,400–$3,500.

• Mid‑August outflows approached -$200M, supporting ETH stability between $4,000 and $4,200.

Ethereum exchange outflows drive ETH above $4,000; read on for Radiant hacker trade details and flow analysis with actionable insights for traders.

What is driving Ethereum’s exchange outflows and price stability above $4,000?

Ethereum exchange outflows have reduced immediate selling pressure by removing supply from exchanges, and concentrated withdrawals from Aug 14–20 (~-100M to -200M USD) helped ETH stabilize above $4,000. Concurrently, large wallet trades — notably the Radiant Capital hacker’s buys and sells — added liquidity and volume that influenced short‑term price moves.

How did the Radiant Capital hacker’s trades affect ETH liquidity?

According to Lookonchain (plain text source), the Radiant Capital hacker spent 8.64M DAI to acquire 2,109.54 ETH at ~ $4,096 each after earlier selling 9,631 ETH for ~$43.94M. This cycle of selling then selective repurchases shifted liquidity between OTC and on‑chain pools, increasing volatility while net exchange outflows limited readily available sell liquidity on exchanges.

Fluctuating inflows and outflows: when and how large were the moves?

Exchange flow patterns showed alternating phases. Late July saw sharp negative spikes (July 29–30) exceeding -$100M to -$150M as ETH fell toward $3,400–$3,500. Early August briefly flipped to inflows, coinciding with upward price pressure. August 14–20 then produced persistent outflows near -$100M to -$200M, helping ETH stabilize between $4,000 and $4,200.

Did stolen funds materially change ETH market flows?

Ten months after the Radiant Capital exploit, the stolen $53M (21,957 ETH at time of theft) became a traded position. Lookonchain reports the stash grew to ~$102.54M by mid‑August after sales and repurchases. The hacker sold ~9,631 ETH (~$43.94M at avg $4,562) and retained ~12,326 ETH (~$58.6M), showing that illicitly sourced funds can still create measurable liquidity impacts.

Frequently Asked Questions

How can exchange outflows support ETH price?

When large amounts of ETH leave exchanges, available sell liquidity falls, which can reduce immediate downward pressure and allow prices to hold or rebound, provided demand remains stable. Outflows are one of several supply‑side signals traders monitor.

Who reported the Radiant Capital wallet activity?

Wallet tracking and transaction summaries were reported in plain text by Lookonchain and flow charts were referenced from Coinglass (plain text sources). These sources show on‑chain transfers, trades, and exchange balances used in this analysis.

What should traders watch next?

Monitor exchange net flow spikes, large wallet movements, and realized price levels on major exchanges. Sudden inflows above $100–$200M typically indicate increased selling intent, while sustained outflows suggest accumulation or non‑sell transfers.

Key Takeaways

• Outflows supported ETH prices: Mid‑August withdrawals reduced immediate sell liquidity and helped ETH hold above $4,000.
• Hacker trades added volume: The Radiant Capital hacker’s sell and subsequent buy sequences materially affected short‑term liquidity.
• Watch flow spikes: Traders should track exchange net flows and large wallet moves as early signals of potential price pressure.

Conclusion

Ethereum exchange outflows and concentrated wallet activity combined to stabilize ETH in the $4,000–$4,200 band. Evidence from on‑chain trackers and exchange flow aggregates suggests reduced sell liquidity supported prices, while large wallet trading — including the Radiant Capital case — amplified volume. Continue monitoring net flows and major wallet trades for near‑term signals and risk management.