Trading Journal & Coach

Newest genuinely-useful category z AI-for-trading to nie predicting market — to analysing Twoje behaviour. Trading Journal turns Twoją history z runs i backtests do honest feedback więc możesz improve strategy którą już masz.

Otwórz AI → Trading Journal (/journal).

Co surfaces

Z Twoich instances (runs i backtests) to computes, deterministycznie:

• Win / loss / failure counts i win rate across Twoje backtests;
• Behavioural insights — leaks które quietly cost retail traders:
  • Over-concentration — most z Twojej activity to w jeden symbol;
  • Repeated failures — high share z runs failed do build lub configure;
  • Losing bias — more losing niż winning backtests (z nudge do run Integrity Lab i check czy edge to real);
  • clean bill z health gdy none z above applies.

GET /api/journal

Dlaczego jest niezawodny

Behavioural analysis to pure, deterministyczne domain code (Core.Journal) z żadną infrastrukturą dependency — unit-tested dla over-concentration, repeated failures, losing bias, balanced case i empty account. Facts come first; AI coach (Portfolio Digest) to optional narrative layer na top, gated na Anthropic API key, więc journal works fully bez AI configured.