Engineering & Trading Insights
Technical tutorials, algorithmic trading strategies, and real development stories from the ClawDUX team.
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.
REST vs WebSocket: Quantitative Trading API Architecture Comparison
When to use REST APIs vs WebSocket connections in trading systems. Latency benchmarks, resource usage, and architecture patterns for different trading frequencies.
Build a Telegram Trading Signal Push Bot with Python
Create a Telegram bot that sends real-time trading signals, portfolio alerts, and P&L updates. Includes message formatting, rate limiting, and error handling.
Polygon.io API: Real-Time US Stock Data Ingestion and Cleaning in Python
Connect to Polygon.io for institutional-grade US equity data. Covers REST polling, WebSocket streaming, data normalization, and handling market hours edge cases.
Build a Stock Factor Backtest Framework with yfinance and pandas
Create a complete factor-based backtesting system using yfinance for data and pandas for computation. Covers momentum, value, and quality factors with portfolio construction.
Python asyncio for High-Frequency Trading Data Collection
Use asyncio to build a concurrent data collection pipeline that ingests tick-level data from multiple exchanges simultaneously without blocking.