https://github.com/salfaris/tradelogger

Shiny ML-powered web app to log stock trades
https://github.com/salfaris/tradelogger

flask machine-learning

Last synced: 2 months ago
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Shiny ML-powered web app to log stock trades

• Host: GitHub
• URL: https://github.com/salfaris/tradelogger
• Owner: salfaris
• Created: 2020-11-23T09:58:07.000Z (over 5 years ago)
• Default Branch: main
• Last Pushed: 2020-11-28T15:00:29.000Z (over 5 years ago)
• Last Synced: 2025-01-16T10:36:30.017Z (over 1 year ago)
• Topics: flask, machine-learning
• Language: HTML
• Homepage:
• Size: 668 KB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# tradelogger

TradeLogger, shiny ML-powered web app to log stock trades. 

### Tech powered by:

- Back-end: Flask

- Machine learning: scikit-learn, XGBoost

The app uses **online machine learning** instead of batch offline ML, meaning that it learns from the user's recent trades in real-time and makes predictions from it constantly. The prediction gets better as the number of trades increases. It also has an AI feature which gives advice based on the user's recent trades.

![Screenshot](./docs/main.png)

### Extra notes

The currency rate here is RM or sometimes known as MYR which is Malaysian ringgit, the currency used in Malaysia. This can be easily modified to suit the user.