A quant trading newsletter focused on building trading infrastructure, backtesting and mid-frequency crypto strategies, with code-backed tutorials for subscribers. Readers get step-by-step guides to writing realistic perpetual futures backtesters and candid post-mortems of trading mistakes.
Website: https://www.taiwanquant.dev
The newsletter walks through quantitative trading strategies with worked implementations, such as a triangulated statistical arbitrage model and a momentum paper replication. It also shares decision-making ideas for avoiding self-deception when testing trading models.
Python Para Trading es un sitio de research cuantitativo en Python que publica artículos con código sobre backtesting, microestructura, volatilidad y datos de mercado. La newsletter combina análisis histórico como el caso Knight Capital, tutoriales de instalación de librerías y series prácticas sobre estacionalidad intradía.
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