"Backtesting before you believe it: tick data, slippage and the traps"
A backtest is a story about the past, not a promise about the future. Tick data, slippage, look-ahead and overfitting — the traps that make beautiful equity curves lie.
Plain-English explainers for algo traders: how stacks fit together, how to choose the boring-but-critical parts, and the maths that keeps robots alive. Every product and price mentioned is drawn from the directory itself — no invented numbers.
A backtest is a story about the past, not a promise about the future. Tick data, slippage, look-ahead and overfitting — the traps that make beautiful equity curves lie.
Grid, DCA and combo bots explained in plain English — what each one actually does, what it costs in fees, and the questions to ask before you switch one on.
Your EA is only as reliable as the machine it sleeps on. How latency really works, which specs matter for MetaTrader, and how the listed options differ.
Entries get the glory, but position size decides whether a bad week is a lesson or a funeral. The simple formula, worked examples, and the special maths of grids.
A journal is the cheapest edge in trading — if it records decisions, not just results. What to track, what to ignore, and how the listed journals compare.
A stack is just a small team of tools that trade, host, test and track together. Here is the smallest honest version — and the extras that can wait.
Stackbot-checked · Oct 2026