Written for people who are not traders and never want to be. Almost everything you will read on this subject is written by someone with something to sell — so here are the questions people actually ask us, answered plainly, including the ones where the honest answer is don't.
Most trading bots start with an entry and hope the market keeps behaving the same way. Robust automated systems are built differently: measure behaviour, form a hypothesis, test it, define risk, validate it and automate only when the evidence survives.
Quick question. You’ve spent months testing a strategy. Hundreds of trades. The maths looks good. Then Monday happens. Loss. Another loss. Then another. By loss number four, your b…
A trading system can win 91% of its trades and still be completely misunderstood. Here’s why professional trading system development starts with the behaviour of the asset — not indicators — using gold, risk, probability and a live tracked account as the example.
One month had more losing days than winning ones and still finished up. The next was green almost every day. Same systems, same rules. Here's what that tells you about judging a system by the calendar.
The best traders in history mostly had systems. Here's the real reason systematic trading works — and why forming a view about the market is what actually blows accounts.
Every trader finds something that works, then bets the whole year on it. Here's why running one strategy is the real risk, and what AI is about to do to the gap.
Martingale and grid bots produce the prettiest backtests in the business. Here's the maths behind why they eventually take the account, and why the marketplace is full of them anyway.
Every trader eventually asks the same question — is this thing broken, or is this normal? Here are the four numbers that answer it, and the test that tells you when to stop.
AI trading agents are everywhere right now. Here's what they can genuinely do, what they can't, and the one question that decides whether any of them make money.
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