Beta Pricing

Plans & Pricing

Every feature. Every metric. Free during beta. No credit card required.

Free Forever

For traders just starting to journal

$0 /month
  • Up to 20 closed trades
  • Basic dashboard & equity curve
  • 1 strategy
  • Community Discord access
Start Free
Most Popular

Pro

For serious traders who track R-value

$19 /month

$15/mo billed annually

→ Free during beta

  • Everything in Free
  • Unlimited trades
  • Unlimited strategies & signals
  • Full analytics suite (SQN, Kelly, Monte Carlo)
  • Post Mortem protocol
  • AI Journal Analyst (30 queries/day)
  • Price alerts & notifications
  • CSV/ML-ready export
  • Priority support
Join the Beta — Free

Team

For pods and trading groups

$29 /month

→ Free during beta

  • Everything in Pro
  • Borg social trading layer
  • Live trade feed & leaderboards
  • Pod-level collective metrics
  • Shared strategies & signals
  • Custom display name / alias
Join the Beta — Free

🎁 Beta Testers get Founder Status — free for life on any plan. All features unlocked. No credit card. No catch.

Frequently Asked Questions

Is SignalDeck really free during beta?

Yes, all features are unlocked during beta at no cost. Beta testers who actively use the platform receive Founder Status with lifetime free access.

What happens when beta ends?

We'll introduce the tiered pricing shown above. Founder Status members keep free access permanently — no grandfathering limits, no feature restrictions.

What is R-value tracking?

R-value (R-Multiple) measures every trade's return relative to the risk taken. If you risk $100 and make $200, that's a 2R trade. SignalDeck uses R as the organizing principle for all analytics — equity curves, expectancy, SQN scoring, and Kelly Criterion all flow from this single risk-normalized framework.

Do you support forex and crypto?

Forex is fully supported with native pip tracking, lot sizes, session detection, and swap fees. Crypto support is in development.

Can I export my data?

Yes. Full CSV export with 50+ fields including post mortem data, execution indicators, and behavioral tags. Designed for ML/LLM analysis.