Kinfo vs TradingDiary Pro (2026) — Which Is Better?
Compare Kinfo and TradingDiary Pro — features, pricing, pros and cons.
Quick Verdict
Higher Rated
TradingDiary Pro (4.1)
More Affordable
Kinfo (Free)
Kinfo
★★★★☆ 3.8/5
Automated portfolio tracker and trading journal with verified performance metrics and social sharing for options traders.
From: Free
Full review →
TradingDiary Pro
★★★★☆ 4.1/5
Desktop-based trading journal with institutional-grade analytics, 16+ broker integrations, and a one-time purchase model — no recurring subscription required.
From: Free
Full review →
Feature Comparison
| Feature | Kinfo | TradingDiary Pro |
|---|---|---|
| Rating | ★ 3.8 | ★ 4.1 |
| Starting Price | Free | Free |
| Free Tier | Yes | Yes |
| Markets | stocks, options | stocks, options, futures, forex, etfs |
| AI Analysis | ✗ | ✗ |
| Backtesting | ✗ | ✗ |
| Paper Trading | ✗ | ✗ |
| Price Alerts | ✗ | ✗ |
| Mobile App | ✓ | ✗ |
| API Access | ✗ | ✗ |
| Social Features | ✓ | ✗ |
| Broker Integration | ✓ | ✓ |
| Custom Indicators | ✗ | ✗ |
| Automated Trading | ✗ | ✗ |
| Trade Journaling | ✓ | ✓ |
| Performance Analytics | ✓ | ✓ |
| Risk Management | ✗ | ✓ |
| News Feed | ✗ | ✗ |
| Education Content | ✗ | ✗ |
Kinfo: Pros & Cons
Pros
- + Verified performance metrics build credible track records
- + Free tier for basic tracking
- + Social sharing with proof of performance
- + Automatic broker sync eliminates manual entry
Cons
- - Limited to stocks and options only
- - Smaller community than alternatives
- - Analytics depth not as strong as dedicated journals
TradingDiary Pro: Pros & Cons
Pros
- + One-time pricing eliminates ongoing subscription costs
- + Deep analytics including Sharpe/Sortino ratios, R-Multiple, and IRR
- + Local data storage ensures full privacy and offline access
- + 16+ broker one-click import with CSV fallback for any platform
- + Built-in capital gains tax reporting saves time at tax time
Cons
- - Desktop-only with no mobile app or web browser access
- - Annual fee required to continue receiving updates after first year
- - No AI-powered analysis or trade pattern recognition
- - Small independent team may mean slower feature development
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