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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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2024 Indian election sentimental analysis #63

Closed Akshat111111 closed 4 months ago

Akshat111111 commented 4 months ago

The task is to find the sentiments and corelation with financial market movement.

apooyadv commented 4 months ago

Assign this to me.I'll use rnns for it.

diptarup794 commented 4 months ago

Hi! I have previous experience working with nlp . Please assign this issue to me @Akshat111111

tejasvinigoel commented 4 months ago

Im interested in this, kindly assign it to me

Akshat111111 commented 4 months ago

I have assigned you all.Firstly clarify your idea/approach so that there should not be any overlapping of work.

apooyadv commented 4 months ago

Could you please describe it a little more?

Akshat111111 commented 4 months ago

Could you please describe it a little more?

You can simultaneously plot the sentiment of common people with the plot of nifty.Also both the things should be present in the same plot.

milliondreamsblog commented 4 months ago

Approch - Sentiment Analysis: Using transformer-based models like BERT or DistilBERT(because its lite on space) for sentiment analysis. Fine-tuning these models on Indian political news articles and Twitter posts . Utilizing a 5-point rating scale (very good, good, moderate, bad, very bad) can provide granularity in sentiment analysis, which can be helpful for market analysis.

Analyzing financial market movements could use time series analysis techniques - ARIMA (frankly, I don't know this part yet).

Finally, correlation analysis to identify any relationships between sentiment and market movements with techniques such as the Pearson correlation coefficient

Please assign me as well would love learn and contribute.

Akshat111111 commented 4 months ago

Approch - Sentiment Analysis: Using transformer-based models like BERT or DistilBERT(because its lite on space) for sentiment analysis. Fine-tuning these models on Indian political news articles and Twitter posts . Utilizing a 5-point rating scale (very good, good, moderate, bad, very bad) can provide granularity in sentiment analysis, which can be helpful for market analysis.

Analyzing financial market movements, could use time series analysis techniques - ARIMA(fanckly idk this part yet)

finally , correlation analysis to identify any relationships between sentiment and market movements with techniques such as Pearson correlation coefficient.

Please assign me as well would love learn and contribute.

yeah your idea is good, so I will suggest you to create a new issue specifying your model name and start working on it

milliondreamsblog commented 4 months ago

hey I have created a new issue , issue has not being assigned tag of gssoc24

Akshat111111 commented 4 months ago

Which issue ??