Hedging-of-Financial-Derivatives
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This strategy works for every market condition irrespective of the movement
Implemented a "Comprehensive Model Evaluation" section with advanced metrics and visualizations for a deeper understanding of model performance. In "Hedging-of-Financial-Derivatives/Credit Risk /CreditRisk.ipynb" Used a variety of metrics like ROC-AUC, Precision-Recall,...
I want to make changes to "Hedging-of-Financial-Derivatives/RL Model /RL Trading.ipynb". I would add technical indicators using the `ta` library, utilize Optuna for hyperparameter optimization, and normalize data by filling missing...
1. Data Collection Gather historical data on: Indian General Election dates and outcomes. Historical stock market data (e.g., BSE Sensex and NSE Nifty). Macroeconomic indicators (e.g., inflation, interest rates, GDP...
Kindly assign the issue to me and add the gssoc label, thanks
Kindly assign this issue to me and add the gssoc label to it, thanks
The Optical character recognition or optical character reader (OCR) is the conversion of images of typed, handwritten or printed text into machine-encoded text, from a scanned documents
✔️Developed a Facebook Prophet machine learning model to forecast Tesla stock prices 30 days ahead, utilizing data sourced from Yahoo Finance. ✔️Employed Google Finance, extracted financial data into Google Sheets...
**Is your feature request related to a problem? Please describe.** Explore a dataset with parameters like the date of loan taken, credits etc. and Predict whether the loan would be...
I would like to build a Real Estate Price Prediction Model, if this enhancement aligns with the goal of this project can i go ahead and start working on this...
Explore the Netflix dataset to understand the distribution of movies vs. TV shows, identify the countries producing the most content, and analyze the trend of releases over the years. What...