TraderLog vs Kinfo: Which Trading Journal Wins?

Choosing the right trading journal can transform how you analyze performance and improve decision-making. Both TraderLog and Kinfo serve active traders, but they take different approaches to data collection, analysis, and insights. This comparison explores their strengths, weaknesses, and ideal use cases so you can make an informed decision based on your trading needs and workflow.

Feature comparison

FeatureTraderLogKinfo
Broker IntegrationSchwab imports through its API, IBKR through a Flex query, and CSV covers anything else. Fills, commissions and dates come with it.Requires manual trade entry or CSV uploads from brokers. Users must input trades themselves or export data periodically. Does not offer direct API connections to major brokers.
AI-Powered AnalysisNo machine learning. Habit findings are statistics over your own fills, and they stay silent until the sample is big enough.Provides basic statistics and trade filtering. Manual analysis of performance metrics is required. No AI detection of behavioral patterns or predictive insights.
Trade Quality ScoringTrades are not scored. What you get is win rate, profit factor, expectancy, streaks, hold-time buckets and results after a win or a loss.Does not score trade quality or separate execution from luck. Users must manually evaluate trade decisions. No framework for comparing trade quality across sessions.
User InterfaceA calendar, a stats page, a day drawer and a replay chart. Clean and small, with little to configure.Straightforward interface focused on core logging features. Functional but less visually polished than modern alternatives. Works on desktop and mobile with basic responsiveness.
Custom Tags and NotesNo per-trade notes and no labels of any kind. You write one entry per trading day covering the whole session.Supports basic note-taking and simple trade tagging. Limited filtering options based on custom metadata. Notes functionality is basic compared to dedicated trading platforms.
Performance ReportingThe stats page covers win rate, average winner and loser, profit factor, expectancy, max drawdown, best and worst day, and results per symbol.Basic performance summaries with win/loss counts and total P&L. Limited customization of report structure. Does not offer advanced metrics like Sharpe ratio or drawdown analysis.
Pricing ModelThe journal is $60 a year with a 14-day free trial. Trade with AI is separate at $25 a month, in USD, CHF or EUR.Freemium model with limited features in free version. Premium tier required for advanced analytics. Pricing competitive for basic journaling needs.
Community and SupportEmail support, and that is it. There is no forum inside TraderLog and no way to see other traders' results.Responsive customer support via email. Community forums available for user discussions. Smaller user base compared to larger platforms.
Data Security and PrivacyTrades arrive over Schwab's API connection and an IBKR Flex query, so your broker password never touches TraderLog.Standard encryption and security protocols. GDPR compliant. No public information about security audit frequency.
Learning ResourcesFree calculators for expectancy, position size, risk to reward and drawdown, a trading glossary, and the Morning Map page each morning.Basic documentation and FAQ section. Limited video content. Fewer advanced learning resources for traders.
TraderLog strengths
  • Schwab and IBKR fills import automatically, so your history is complete without a CSV routine every weekend.
  • The stats page answers the questions that matter after a bad week: expectancy, profit factor, max drawdown, worst day.
  • Habit findings read your executions for give-backs, losers held too long and size jumping after a loss.
  • The daily checklist scores your prep on the calendar, so discipline gets measured rather than assumed.
Kinfo strengths
  • Freemium pricing model lets you test basic journaling before committing financially. This lower barrier to entry appeals to newer traders exploring the category.
  • Simple, straightforward interface requires minimal learning curve. If you just want quick trade logging without complexity, Kinfo delivers that efficiently.
  • Manual entry option gives you more control over what gets recorded. Some traders prefer the discipline of typing each trade while reflecting on it.
  • Smaller, more niche community can feel more personal. Direct communication with support team is possible without waiting in longer queues.
Verdict

Overall

TraderLog and Kinfo both keep a record, and they differ on who does the typing and what comes back. TraderLog pulls fills from Schwab and IBKR and turns them into a calendar, a stats page and habit findings computed from your executions.

Kinfo keeps things manual and simple, with basic stats and light notes on trades. If you want detail on individual trades, Kinfo lets you write it. TraderLog works at the level of the trading day.

Best for TraderLog

Choose TraderLog if you trade Schwab or Interactive Brokers and want the history to build itself. The stats go further than win and loss counts: expectancy, profit factor, max drawdown, streaks and hold-time buckets.

It suits traders reviewing their own process rather than comparing themselves with others. The five-item checklist and its adherence score make prep something you can see on the calendar.

Best for Kinfo

Kinfo works for traders on brokers TraderLog does not import from, where a CSV or manual entry is the only route anyway.

It is also the choice if you want notes and labels on individual trades, or a free tier to test the idea. TraderLog has neither. Entries are per day, and the trial lasts 14 days.

The bottom line

For Schwab and IBKR traders who want numbers without admin, TraderLog is the stronger fit. Import, calendar, stats, habit findings and replay all run off the same imported fills.

Kinfo stays useful for other brokers and for traders who want to write on every trade. Try TraderLog free for 14 days and see which level of detail you actually use.

Frequently asked questions

TraderLog currently offers direct integration with Schwab and IBKR. Users with other brokers can still import trades via CSV export files from their broker's platform. The process is more manual than direct API syncing but still faster than typing each trade individually. Contact TraderLog support for information about future broker integrations in development.

Yes, TraderLog allows you to edit synced trades. You can adjust entries, exits, quantities, and add notes without affecting your broker's records. Manual edits might be needed if your broker's data includes fees or commissions you want to adjust. The platform tracks whether trades were manual entries or synced from brokers.

TraderLog's AI identifies patterns like revenge trading, overtrading after losses, and averaging down excessively. The system flags emotional decision-making based on recent trades and detects consistent execution mistakes. It highlights when you deviate from your own rules most frequently. These insights help you understand which behaviors cost you money consistently.

The quality score evaluates execution against risk management principles and trade setup quality. It's based on factors like risk-reward ratio, position sizing, and entry/exit timing. Customization options exist, allowing you to weight different factors based on your strategy. The score reflects mechanical execution quality, not outcome luck.

TraderLog and Kinfo store unlimited trades in their databases. Neither platform imposes limits on trade count per account. Storage concerns are not a limiting factor for either platform, even for high-frequency traders or long-term historical data retention. Both platforms can handle thousands of trades without performance issues.

Start a TraderLog trial before you commit

Connect Schwab or IBKR and your history is in the journal within minutes. The calendar shows each day's profit or loss, and the stats page gives you win rate, profit factor and expectancy. Fourteen days free, no card.