Blog

Strategy backtesting, AI agents, TypeScript trading strategies, and trading-risk research for crypto traders.

How to backtest a crypto strategy with an AI agent

Connect an AI agent in Claude Code or Cursor over MCP and it writes your strategy in TypeScript, backtests it on years of real candles with no look-ahead, reads the trades back, and refines it.

June 11, 2026

Why 97% of day traders lose money

The research is clear: experience doesn't help, and education alone doesn't fix the problem. What actually works is removing emotion from execution.

March 12, 2026

Stop-loss hunting: how exchanges see your stops

When you place a stop-loss on an exchange, market makers can see it. Hidden server-side stops remove that visibility entirely.

March 7, 2026

Kill switch vs daily loss limit: what's the difference

Four layers of risk protection — from per-trade limits to the kill switch. How they work together and why one safety net isn't enough.

March 3, 2026

Server-side vs client-side stop-losses: why it matters

Close your laptop and your client-side stop dies. In a 24/7 crypto market, that's a serious problem. Server-side stops run regardless.

February 27, 2026

How crypto prop firms manage trader risk

Multiple traders, shared capital, 24/7 markets. What prop firms need from risk management and why manual monitoring doesn't scale.

February 24, 2026