Python araç seti: Borsa ve finansal veri analizinde pandas, yfinance, TA-Lib ve scikit-learn

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Bir yazar, borsa verileriyle çalışmaya başladığında her şeyi sıfırdan yazmanın büyük bir hata olduğunu fark ettiğini anlatıyor. Bu deneyimlerden yola çıkarak gerçek işlerde kullandığı Python kütüphanelerini ve bunların tuzaklarını paylaşıyor. Pandas'ta SettingWithCopyWarning hatasıyla karşılaşıldığında .copy() kullanımının ve veri tiplerini float32 olarak ayarlamanın bellek kullanımını yaklaşık yüzde 40 düşürdüğü belirtiliyor. Yfinance'in resmi bir API olmadığı için Yahoo tarafındaki değişikliklerle aniden çalışmayabileceği, bu nedenle yalnızca prototip ve analizlerde kullanılması gerektiği vurgulanıyor. Teknik analiz kütüphanesinin özelleştirmede zorluk çıkarabileceği ve sinyallerin manuel kontrol edilmesi gerektiği, scikit-learn ile zaman serilerinde look-ahead bias riskine dikkat edilmesi gerektiği de aktarılıyor.

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