Hedging-of-Financial-Derivatives
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This strategy works for every market condition irrespective of the movement
You can implement using any of the existing technologies
The task is to find the sentiments and corelation with financial market movement.
we can use hyperparamete method to get good accuracy and give better result and also use logistic regression especialy for binary digits and also apply ROC method to increase accuracy...
Sentiment Analysis: Using transformer-based models like BERT or DistilBERT for sentiment analysis is a good choice, especially considering their effectiveness in capturing contextual information. I plan to fine-tune these models...
**Objective** : This model would predict whether a transaction is fraudulent or not based on transaction features. This model would **understand** data, preprocess, train logistic regression; assess metrics, interpret coefficients;...
**Overview:** The current Nifty 50 (NSEI) data analysis model provides valuable insights into historical trends and patterns of the index. However, to enhance its functionality and utility, it would be...
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## 🛠️ Related Issue - Closes #[issue_number] - #569 ## 📝 Description stock price prediction of fmcg sector ## 🔍 Type of PR - [ ] 🐛 Bug fix -...
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