Guides, changelogs, deep dives and everything trade journaling.
Our 4th edition of the current market's survey of trading journaling, analytics, and everything users are looking for. Whether you are new or a veteran trader, or whether you use trade journaling or not, as long as you trade and you deal with data, this should be interesting to you.
Exit Insights compares your trade exits against best-exit, EOD and multi-timeframe simulations to show money left on the table, whether you round-trip or cut winners early, if holding longer is reliable, and when to tighten up - instead of outdated PnL-vs-time charts.
All the questions you have had about the trading statistics, their definitions, etc., are all documented here! Most commonly asked questions about charts, what their meanings are can also be found here! Now updated for 2026!
The complete 2026 map of every chart in TradesViz - PnL, win-rate, hit-ratio, performance metrics, distribution curves, drawdown, MFE/MAE, multi-timeframe exit analysis, options analytics, seasonality, treemaps, pivot grid, custom dashboards and the AI suite - with where to find each one. Now updated for 2026!
A complete guide to day tags and day tag groups in TradesViz: how they differ from trade tags, how to add/edit/delete them, how to organize them into groups, how to filter and combine them with trade tags, and where they show up across charts and in summaries.
Your entry doesn't determine your P&L - your exit does. This guide breaks down how to measure exit efficiency, diagnose whether you're exiting too early or too late, and build data-driven exit rules using your own trading history. No generic advice. Just data and frameworks.
Most trading journals are just digital diaries that record your losses with a smile. In 2026, logging 'entry price' is useless without the institutional context of market data and the flexibility that can adapt to your unique trading style. This report dismantles the 'vibe apps' and spreadsheets bleeding your edge and introduces the only alternative: The Analytics Engine. Stop writing about the past and start engineering your future.
Are emotions costing you money? Traditional 'mood meters' aren't enough. Learn how to quantify your trading discipline and calculate the exact dollar cost of FOMO and revenge trading. We break down how to use custom tags, AI analysis, and digital checklists to build a data-driven framework for your psychology.
Discover how to scientifically validate candlestick patterns using TradesViz's powerful backtester. This comprehensive guide reveals surprising results from backtesting classic patterns on ES futures and AAPL, including why the Bearish Engulfing pattern actually performs as a bullish signal with 75%+ win rates. Learn the exact EZstockscreener query syntax for pattern detection, see real performance metrics, and master data-driven trading strategies that actually work.
This comprehensive guide explains how to calculate and analyze, and use R-value and Profit Factor in TradesViz using powerful features such as the General Statistics dashboard, Pivot Grid analysis, AI Query tool, and Custom Dashboards to identify your most profitable setups and optimize your trading strategy.
A complete revamp of the TradesViz mobile app with new features, faster UI, and more!
Just imported your trades and not sure why the numbers are not matching? Read on to understand more about why this happens, what data your brokers provide, and how to get a better match!