Akshat111111 / Hedging-of-Financial-Derivatives

This strategy works for every market condition irrespective of the movement
BSD 3-Clause "New" or "Revised" License
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Developing Machine learning models for GOLD PRICE PREDICTION #82

Closed binguliki closed 1 month ago

binguliki commented 1 month ago

@Akshat111111 Hey πŸ‘‹ , I have checked the Gold price prediction Code that was trained over linear regression model in your code base. I have some better solutions where we can use XG boost and Gradient Boosting Algorithms etc inorder to produce precise results as price prediction is a sensitive task.

My approach : First I would be doing Proper EDA over the I would be using and then i would be using Different Machine learning models and train them over different hyperparameters to obtain the best results , i would also provide the performance analysis and a proper conclusion of the performance.

I'm a Machine learning and Deep learning dev and have been constantly contributing , Can you please assign me this Issue with a GSSoC '24 contribution tag with appropriate level tag as it requires alot of efforts

binguliki commented 1 month ago

@Akshat111111 Hey bro πŸ‘‹ , Can you please check this out

Akshat111111 commented 1 month ago

I like your approach.You can start working on it.

ajoshi30 commented 1 month ago

I have reviewed the Gold price prediction code that utilizes a linear regression model. Given the sensitivity of price prediction, I believe we can achieve more precise results by employing advanced techniques such as XGBoost and Gradient Boosting Algorithms.

My approach includes:

Conducting thorough Exploratory Data Analysis (EDA). Implementing and training multiple machine learning models with various hyperparameters. Providing detailed performance analysis and a comprehensive conclusion of the results.

Akshat111111 commented 1 month ago

I have reviewed the Gold price prediction code that utilizes a linear regression model. Given the sensitivity of price prediction, I believe we can achieve more precise results by employing advanced techniques such as XGBoost and Gradient Boosting Algorithms.

My approach includes:

Conducting thorough Exploratory Data Analysis (EDA). Implementing and training multiple machine learning models with various hyperparameters. Providing detailed performance analysis and a comprehensive conclusion of the results.

create a new issue mentioning it and start working.

binguliki commented 1 month ago

@Akshat111111 HeyπŸ‘‹ bro , but he is addressing the same issue that i'm doing so how will it be counted . I'm working on the project and would be providing a PR soon

Akshat111111 commented 1 month ago

@ajoshi30 dont repeat the same work, add some value by your work.

ajoshi30 commented 1 month ago

yeah, sure

On Fri, 17 May 2024 at 20:26, Akshat Sharma @.***> wrote:

@ajoshi30 https://github.com/ajoshi30 dont repeat the same work, add some value by your work.

β€” Reply to this email directly, view it on GitHub https://github.com/Akshat111111/Hedging-of-Financial-Derivatives/issues/82#issuecomment-2117788176, or unsubscribe https://github.com/notifications/unsubscribe-auth/A7O7NG5EXBQFIQU4HWRGXY3ZCYLBXAVCNFSM6AAAAABHURCK5WVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDCMJXG44DQMJXGY . You are receiving this because you were mentioned.Message ID: @.*** .com>