Risk Management Shifts for Crypto and Forex Traders

The author of this article had a significant revelation about their risk management strategy after using a Monte Carlo simulator on their trade history. They discovered that their actual equity curve was one draw out of ten thousand, and it was a lucky one.

This simulation revealed two crucial numbers for the author: the distribution of maximum drawdowns and the risk of ruin. The distribution showed that at 2% risk with a 45% win rate, a meaningful share of simulations dipped 30%+ before recovering. Their live account had never seen worse than 12%, so they'd been walking around thinking their strategy was tamer than it was.

The author also found that the risk of ruin, the odds of never coming back, was non-trivial at that size, prompting them to cut risk to 0.75%. They implemented automated position sizing instead of typing a lot size, ensuring that a 15-pip stop and a 90-pip stop both cost exactly the same dollars if they were wrong.

The author emphasized the importance of non-custodial wallet architecture in crypto trading, citing Nika Finance as an example. This approach eliminates counterparty risk by storing keys securely in the device's enclave and authenticating with biometrics.