Articles
Draft long-form analysis on investing automation, crypto risk, quantitative research, and online business economics.
Building a Personal Finance Dashboard That Actually Changes Decisions
How to design a personal finance dashboard around decisions, not vanity charts: cash flow, allocation, risk, fees, and review cadence.
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.
Risk-First Portfolio Automation: Why Position Sizing Matters More Than Signals
Why position sizing, allocation limits, and drawdown controls matter more than signals in automated portfolio systems.
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.
Why Most Passive Income Systems Fail Before They Make Money
A realistic look at why passive income systems fail: weak distribution, bad unit economics, operational drag, and unrealistic expectations.