Engineering & Trading Insights
Technical tutorials, algorithmic trading strategies, and real development stories from the ClawDUX team.
On-Chain Limit Order Protocols Compared: 1inch vs 0x vs CoW Protocol
Technical comparison of decentralized limit order protocols. Covers order matching mechanics, gas efficiency, MEV protection, and developer integration.
Sharpe Ratio Deep Dive: 5 Common Mistakes in Strategy Evaluation
The Sharpe ratio is the most cited metric in quant finance — and the most commonly misused. Learn how annualization errors, survivorship bias, and overfitting inflate your numbers.
Cross-Chain Arbitrage Detection: Ethereum vs Arbitrum vs Base
Practical analysis of cross-chain arbitrage between Ethereum L1, Arbitrum, and Base. Covers bridge latency, gas cost differentials, and detection algorithms.
Crypto Momentum Strategy Backtest: From Signal Generation to Risk Control
Complete workflow for backtesting a momentum strategy on crypto markets. Covers signal generation, position sizing, stop-loss logic, and walk-forward optimization.
MEV Protection: How to Prevent Sandwich Attacks on Your DeFi Trades
Understanding MEV extraction, sandwich attacks, and front-running on Ethereum. Practical protection strategies including Flashbots, private mempools, and smart slippage.
Monitor DEX Liquidity Pools and Detect Arbitrage Signals with Python
Build a real-time DEX liquidity pool monitor that tracks reserve changes, detects price divergences, and generates arbitrage signals across Uniswap, SushiSwap, and Curve.
Uniswap V3 Concentrated Liquidity Market Making: Math and Implementation
The mathematics behind concentrated liquidity positions on Uniswap V3. How to calculate optimal ranges, estimate fees, and manage impermanent loss programmatically.
Decentralized vs Traditional Quant Platforms: Strengths and Trade-offs
Honest comparison of DEX-based trading platforms versus centralized quantitative platforms. Covers execution speed, cost, security, liquidity, and regulatory considerations.
On-Chain Trading Slippage: Root Cause Analysis and Algorithmic Mitigation
Why slippage happens on DEXes, how AMM curves create price impact, and algorithmic techniques to minimize it. Includes math, code, and real examples.
Grid Trading Strategy for Crypto Sideways Markets: Analysis and Parameter Tuning
Deep dive into grid trading strategy mechanics for volatile crypto markets. Covers grid spacing, position sizing, dynamic range adjustment, and backtesting results.
How to Safely Deploy an Automated Trading Algorithm on a DEX
End-to-end guide to deploying trading algorithms on decentralized exchanges. Covers smart contract interaction, gas optimization, MEV protection, and monitoring.