All Case Studies
Crypto TradingAlphaQuant•5 Months
Autonomous Arbitrage Bot for DeFi Markets
Due to strict NDA agreements, client names and representatives have been anonymized.
Execution
<5ms
Trade latency
Volume
$50M+
Daily volume processed
Success
99.8%
Transaction success rate
The Challenge
AlphaQuant needed to automate their arbitrage strategies across decentralized exchanges (DEXs). The main challenge was speed and gas optimization. They were losing opportunities to faster bots and suffering from front-running attacks (MEV).
Our Solution
We built a custom Rust-based trading bot optimized for bare-metal performance. The system integrates directly with blockchain nodes to bypass standard mempool delays.
We implemented advanced MEV protection strategies, including private transaction submission (Flashbots) and dynamic gas auctions. The bot autonomously monitors thousands of liquidity pools and executes trades in milliseconds.
The Results
The bot now executes over 50,000 trades daily with a 99.8% success rate. It generates consistent alpha in volatile markets and has outperformed their previous Python-based system by 100x in speed.
"The engineering quality is top-tier. It's not just a bot; it's a finely tuned weapon for the markets."
Confidential
Head of Algo Trading, AlphaQuant
Project Details
Client
AlphaQuant
Industry
Crypto Trading
Duration
5 Months
Technologies
RustSolidityEthereumFlashbotsAWS
Capabilities