Topic: "black-swan-events"
dbogatic/sp_sigma_events
Expected sigma event frequency of S&P 500 daily returns based on historical returns, compared to normal distribution expected frequency.
Language: Jupyter Notebook - Size: 424 KB - Last synced at: about 19 hours ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 1
mala-lab/DRA Fork of Choubo/DRA
Official PyTorch implementation of the paper “Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection”, open-set anomaly detection, few-shot anomaly detection, semi-supervised anomaly detection.
Size: 33.2 KB - Last synced at: about 1 year ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0
vmieres/DeepLearning_During_Blackswan_Events
Collaborative Project with group members using LSTM (Long-Term/Short-Term Deep Learning) models to predict stock prices.
Language: Jupyter Notebook - Size: 11.5 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0
