AutoML - MCP Hackathon
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Automated ML model comparison with LazyPredict
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Build error when starting the app
#2 opened about 1 month ago
by 
Amasylla
daniel-was-taken
updated a
Space about 2 months ago
Request about the server restart
3
#1 opened about 2 months ago
by Amasylla
Request about the server restart
3
#1 opened about 2 months ago
by Amasylla
Addyk24
updated a
Space 3 months ago
soiz1
updated a
Space 3 months ago
yunfengwang
authored 2
papers 4 months ago
kaiser-data
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Space 4 months ago
crcdng
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Space 4 months ago
EwanMe
published a
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ckttam
updated a
Space 4 months ago
Looking for Feedback
11
#1 opened 9 months ago
by 
Aayussh
GChilukala
updated a
Space 4 months ago
davidlms
updated a
Space 5 months ago
SelmaNajih001
posted an update 5 months ago
Post
2925
How Financial News Can Be Used to Train Good Financial Models 📰
Numbers tell you what happened, but news tells you why.
I’ve written an article explaining how news can be used to train AI models for sentiment analysis and better forecasting. Hope you find it interesting!
Read it here: https://huggingface.co/blog/SelmaNajih001/llms-applied-to-finance
I would love to read your opinions! I’m open to suggestions on how to improve the methodology and the training
Numbers tell you what happened, but news tells you why.
I’ve written an article explaining how news can be used to train AI models for sentiment analysis and better forecasting. Hope you find it interesting!
Read it here: https://huggingface.co/blog/SelmaNajih001/llms-applied-to-finance
I would love to read your opinions! I’m open to suggestions on how to improve the methodology and the training
- 1 reply
Nihal2000
updated a
Space 5 months ago
SelmaNajih001
posted an update 5 months ago
Post
3049
Which is the best model to use as a signal for investment?
Here who is gaining the most:
SelmaNajih001/InvestmentStrategyBasedOnSentiment
The Space uses titles from this dataset:
📊 SelmaNajih001/Cnbc_MultiCompany
Given a news title, it calculates a sentiment score : if the score crosses a certain threshold, the strategy decides to buy or sell.
Each trade lasts one day, and the strategy then computes the daily return.
For Tesla the best model seems to be the regression 👀
Just a quick note: the model uses the closing price as the buy price, meaning it already reflects the impact of the news.
Here who is gaining the most:
SelmaNajih001/InvestmentStrategyBasedOnSentiment
The Space uses titles from this dataset:
📊 SelmaNajih001/Cnbc_MultiCompany
Given a news title, it calculates a sentiment score : if the score crosses a certain threshold, the strategy decides to buy or sell.
Each trade lasts one day, and the strategy then computes the daily return.
For Tesla the best model seems to be the regression 👀
Just a quick note: the model uses the closing price as the buy price, meaning it already reflects the impact of the news.
SelmaNajih001
posted an update 5 months ago
Post
392
Which is the best model to use as a signal for investment? 🤔
I’ve created a Space where you can compare three models:
-Two available on my profile
- ProsusAI/finbert
You can try it here:
👉 SelmaNajih001/InvestmentStrategyBasedOnSentiment
The Space uses titles from this dataset:
📊 SelmaNajih001/Cnbc_MultiCompany
Given a news title, it calculates a sentiment score : if the score crosses a certain threshold, the strategy decides to buy or sell.
Each trade lasts one day, and the strategy then computes the daily return.
Just a quick note: the model uses the closing price as the buy price, meaning it already reflects the impact of the news.
If I had chosen the opening price, the results would have been less biased but less realistic given the data available.
I’ve created a Space where you can compare three models:
-Two available on my profile
- ProsusAI/finbert
You can try it here:
👉 SelmaNajih001/InvestmentStrategyBasedOnSentiment
The Space uses titles from this dataset:
📊 SelmaNajih001/Cnbc_MultiCompany
Given a news title, it calculates a sentiment score : if the score crosses a certain threshold, the strategy decides to buy or sell.
Each trade lasts one day, and the strategy then computes the daily return.
Just a quick note: the model uses the closing price as the buy price, meaning it already reflects the impact of the news.
If I had chosen the opening price, the results would have been less biased but less realistic given the data available.
davidlms
updated a
Space 6 months ago