TongjiFinLab/FinTSB
FinTSB: A Comprehensive and Practical Benchmark for Financial Time Series Forecasting (ICAIF'25 Workshop Best Paper)
This project helps quantitative analysts and financial researchers accurately evaluate their stock market prediction models. It takes raw financial time series data and processes it through standardized benchmarks, providing performance metrics, backtesting results, and visualizations. This allows users to understand how their models perform across diverse market conditions and compare them against established methods.
121 stars. No commits in the last 6 months.
Use this if you need a reliable and standardized way to test and compare financial time series forecasting models for stock movement prediction.
Not ideal if you are looking for an out-of-the-box trading system or a tool for general time series analysis outside of financial markets.
Stars
121
Forks
20
Language
Python
License
GPL-3.0
Category
Last pushed
Aug 22, 2025
Commits (30d)
0
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