A weekly review template for discretionary traders
Thirty minutes, five questions, one forbid rule — how to turn Stats and Journal Coach into a habit that sticks.
R-multiple thinking without the jargon trap
Frame wins and losses in units of initial risk so expectancy stays honest when size changes.
When to use Market Briefing vs the AI Analyst
Briefing for context; Analyst for a specific chart. Two tools, two jobs — don’t blur them into “tell me what to buy.”
Mistake tags that pay for themselves
FOMO, moved stop, oversized — a short taxonomy so your journal can price process leaks instead of hiding them.
Read-only API keys for trade import — what to enable
How to connect Binance or Bybit to a journal without granting trade or withdraw permissions — and why TradaxLab checks before saving.
Break-even win rate and expectancy, explained simply
Why a 40% win rate can still be fine — and how costs quietly raise the bar.
Using AI chart analysis responsibly
Structure and levels ≠ signals. How to use the Analyst as a second set of eyes without outsourcing decisions.
Pre-flight before you click buy
Playbook compliance, checklist, and a grade — a 60-second gate that catches revenge and FOMO entries.
Position sizing without guesswork
Risk % → units or lots in one pass. How TradaxLab’s desk tools connect account risk to real size.
How to journal trades that actually improve your process
Most journals become scrapbooks. Here’s a lean checklist for tags, mistakes, and weekly review that compounds.