
最新演算法交易新聞、回測技術進展、量化研究和金融科技發展。
Arrow 18 introduces SIMD-accelerated aggregation kernels and improved Parquet read performance, directly benefiting quantitative analysis pipelines.
Retail algorithmic trading volume grew 40% year-over-year, driven by accessible platforms that lower the barrier from 'write code' to 'describe strategy'.
Walk-forward analysis remains the gold standard for strategy validation. We review modern implementations and common mistakes that lead to false confidence.
Python 3.14's experimental JIT compiler shows promising results for numerical workloads, potentially reducing the performance gap for Python-based backtesting engines.
