What's New in Tradebreath: Release for Q4 2025
Tradebreath TeamJanuary 7, 2026
Product Update: Q4 2025 Release – Expanded Data & Enhanced Performance
Our final release of 2025 focuses on what matters most to traders and quantitative analysts: data depth, asset diversity, and platform speed. Here is everything new in our Q4 update.
1. Expanded Universe & Deep Historical Data
We have broadened our asset coverage to provide more robust testing environments:
- 800+ Symbols: Our total symbol count now exceeds 800 across various sectors.
- New Asset Classes: We’ve introduced Indices, ETFs, and Bonds to our library.
- Forex: Access all currency pairs with up to 20 years of historical minute-level data.
- Global Indices: Access major global indices with up to 20 years of historical minute-level data.
- US ETFs: All mainstream US-listed ETFs are now available with high-resolution minute data.
- US Stocks: Dozens of top-tier stocks have been upgraded to include both 1-hour and 1-minute intraday data.
2. Daily Data Freshness
Accuracy starts with up-to-date information. All datasets are now synchronized daily, ensuring that your backtesting environment includes closing data through the previous trading session.
3. Advanced Technical Analysis
The built-in indicator library has been expanded to 36 indicators. To improve your workflow, these are now organized into logical categories (e.g., Trend, Momentum, Volatility), making it easier to find the right tool for your strategy.
4. Workflow & UI Improvements
- New Timeframes: We now support 1-week and 1-month timeframes for long-term trend analysis.
- Optimized Interface: The timeframe selection menu has been moved to a more intuitive lower position to streamline your chart management and focus.
5. High-Speed Performance
Backtesting efficiency is critical. We have overhauled our backend engine to significantly increase data loading speeds, allowing you to cycle through symbols and strategies faster than ever before.
Ready to test your latest strategy? Log in now to explore the new data and features.