Position sizing for people who hate maths
Two traders take identical trades. One risks 1% a trade, the other 10%. After eight losses, one is down 8% and the other needs to double what is left. Here is the one formula that matters.
Risk, sizing, derivatives and the statistics behind a real edge.
Two traders take identical trades. One risks 1% a trade, the other 10%. After eight losses, one is down 8% and the other needs to double what is left. Here is the one formula that matters.
Three great months proves less than it feels like. The probabilistic Sharpe ratio gives a rough answer to how many trades you need before luck stops being the likely explanation.
Funding shows who is crowded on perpetual futures and who is paying for it. Useful context, poor crystal ball.
Bitcoin, wallets, security and on-chain markets, in plain English.
2 guidesRisk, sizing, derivatives and the statistics behind a real edge.
3 guidesBots, expert advisors, backtests and what machine learning really adds.
2 guidesAutonomous trading agents, prediction markets and their failure modes.
2 guidesChecklists, workflows and red flags from things that went wrong.
2 guidesAnswers only from our guides, with sources.
Hoo. I'm Owlgo. Ask me anything we've written about: bots, sizing, agents, funding, security.
Owlgo explains, never advises. Not financial advice.