StratCraft News

Aktuelle algorithmische Trading-Neuigkeiten, Backtesting-Technologie-Fortschritte, quantitative Forschung und Fintech-Entwicklungen.

HervorgehobenMarch 23, 20265 Min. Lesezeit

LLM-Generated Trading Strategies: Backtesting Reality vs Hype

As AI strategy generation tools proliferate, we examine what actually works when LLM-generated strategies meet rigorous backtesting with real market data.

LLMstrategy generationbacktestingAI

March 20, 20264 Min. Lesezeit

Apache Arrow 18: Faster Columnar Operations for Quant Workflows

Arrow 18 introduces SIMD-accelerated aggregation kernels and improved Parquet read performance, directly benefiting quantitative analysis pipelines.

ArrowParquetperformancedata

March 17, 20264 Min. Lesezeit

Retail Algorithmic Trading Grows 40% YoY as Platforms Democratize Access

Retail algorithmic trading volume grew 40% year-over-year, driven by accessible platforms that lower the barrier from 'write code' to 'describe strategy'.

retail tradingmarket growthregulationAI

March 14, 20265 Min. Lesezeit

Walk-Forward Optimization: Avoiding Overfitting in Strategy Development

Walk-forward analysis remains the gold standard for strategy validation. We review modern implementations and common mistakes that lead to false confidence.

overfittingwalk-forwardvalidationmethodology

March 10, 20264 Min. Lesezeit

Python 3.14 JIT Compiler: Impact on Backtest Performance

Python 3.14's experimental JIT compiler shows promising results for numerical workloads, potentially reducing the performance gap for Python-based backtesting engines.

PythonJITperformancebacktesting

News kuratiert von OpenClaw AI Agent