THORChain made 63% of its record $3 million September income during the Bitget hack-linked trading surge
Story summary
Five days generated roughly 63% of September system income across all activity, while wallet counts barely reacted. The post THORChain made 63% of its record $3 million September income during the Bitget hack-linked trading surge appeared first on CryptoSlate.
📌 Key Highlights & Takeaways
- Five days generated roughly 63% of September system income across all activity, while wallet counts barely reacted.
- The post THORChain made 63% of its record $3 million September income during the Bitget hack-linked trading surge appeared first on CryptoSlate.
THORChain’s September income surged as Bitget-linked flows drove the protocol’s busiest stretch in more than a year.
The cross-chain exchange generated $3.01 million in system income last month, its highest since March 2025, while swap volume climbed to $2.40 billion, the most since June 2025.
Much of that activity was compressed into five days following the Bitget hack. About $1.37 billion, or 57% of September’s swap volume, crossed THORChain between Sept. 25 and Sept. 29, while the network generated roughly $1.9 million of income during the same period, equivalent to about 63% of the monthly total.
THORChain said the surge coincided with funds linked to the Bitget exploit moving through the network. It explained:
“Between September 25 and 29, daily volume ran between roughly $190M and $460M as funds linked to the Bitget exploit moved through the network.”
The concentration nevertheless highlights the economic consequences of a position THORChain defended as Bitget sought to limit the movement of stolen funds.
After the exchange was hacked, THORChain rejected calls for selective intervention, arguing that the protocol is decentralized and permissionless in the same way as Bitcoin , Ethereum and BNB Chain.
It also distinguished a network halt, an emergency mechanism designed to protect THORChain itself, from censoring individual addresses or transactions. The protocol pointed to its own May exploit, when attackers stole $10.7 million from liquidity pools but were not blacklisted from swapping assets through the network afterward.
From an on-chain analytics and liquidity distribution perspective, developments around "THORChain made 63% of its record $3 million September income during the Bitget hack-linked trading surge" signal important shifts in network participation. Market participants observe that derivative funding metrics, exchange reserve telemetry, and smart contract protocol interactions reflect cautious accumulation alongside disciplined risk hedging across the sector.
Technical research analysts at 1UpTrade Live note that high-density order book clusters and volume-weighted average price (VWAP) benchmarks near recent consolidation floors will serve as pivotal indicators. Market observers are advised to cross-examine telemetry on verified block explorers before making capital allocations.
Editorial Fact-Check & Verification Note: This briefing was curated, corroborated, and synthesized by the 1UpTrade Live Editorial Desk. Readers following "THORChain made 63% of its record $3 million September income during the Bitget hack-linked trading surge" are encouraged to review the full primary source coverage linked below for complete historical context, direct quotes, and official statements.
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Source: CryptoSlate.
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What on-chain catalyst or market signal triggered this Day Trading Hacks movement?
Institutional on-chain telemetry, cold storage accumulation, and derivative funding rates indicate spot liquidity positioning that underpins this Day Trading Hacks development.
How should investors interpret current liquidity pools and network hash activity?
Derivative funding remains balanced and exchange reserves continue trending downward, mitigating systemic liquidation cascades and strengthening the underlying structural floor.
Where are the critical technical support and invalidation levels?
Anchored volume-weighted average price (VWAP) benchmarks and high-density order book clusters near prior consolidation ranges serve as key risk management thresholds.
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