Trading Systems
Crypto Quant Systems: What You Need Before You Trade Real Money
A practical checklist for crypto quant systems: data quality, backtesting, execution, risk limits, monitoring, and operational security.
The Backtesting Mistakes That Kill Crypto Trading Strategies
Common crypto backtesting errors including survivorship bias, ignored fees, overfitting, liquidity assumptions, funding rates, and regime blindness.
The Practical Stack for Automated Investing: Data, Signals, Risk, and Execution
A practical framework for building automated investing workflows around clean data, simple signals, risk controls, and disciplined execution.