Playbook A: Clean trend
- Bias and price aligned > +2% from reference.
- No entry if historical max DD exceeds your current rule.
- Invalidation must be defined before execution.
Quantiva Lab
Train decision quality, risk, and consistency with your backtests. This module complements the operational engine output, it does not replace it.
Lab + operational output
All operational workflows remain active. Lab is used to prepare execution and validate consistency.
Challenge Composer
Build your symbol basket, define rules, and estimate your challenge readiness.
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Symbol Leaderboard
Ranking by historical context quality (consistency, factor, return, and drawdown).
| # | Symbol | Lab score | Outcome | Max DD | Win rate | Factor | Action |
|---|
Execution tape (simulated)
Quick review of closed segments to refine reading and discipline.
Focus symbol: —
Latest closes
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Persistent Journal
Log execution notes, avoided mistakes, and outcomes per symbol. Entries are stored in your account.
Log in to use journal, comparisons, and certificates.
Strategy Comparisons
Score-based comparison to benchmark consistency across symbols and setups.
Active comparisons
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Comparison leaderboard
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Challenge Certificates
Issue certificates from your current basket to document progress and share results.
You need a session to issue and manage certificates.
Operational Playbooks
Playbook B: Controlled reversion
- Use symbols with historical win rate > 55% only.
- Risk per trade <= 1% and max 2 attempts per session.
- Log rationale and avoided mistake in journal.
Playbook C: Challenge mode
- Small, consistent daily target.
- If DD rule is broken, pause session.
- Prioritize consistency over frequency.