Stock Volatility Prediction ML Model
Budget: $30 – $250 SGD
I'm in need of a machine learning expert to create a model that can predict stock volatility. This model will specifically cater to risk management needs.
Key Aspects of the Project:
- The model should take into account past volatility, various financial data, Bollinger Bands, and SMA.
- It may utilize daily stock prices, quarterly financial reports, and economic indicators as historical data inputs.
- Integration of technical indicators like Bollinger Bands, Simple Moving Average (SMA), and Relative Strength Index (RSI) is a must.
Ideal Skills and Experience:
- Proficient in machine learning and data analysis.
- Familiarity with stock market data and risk management strategies.
- Experience in using technical indicators in predictive modelling.
Key Aspects of the Project:
- The model should take into account past volatility, various financial data, Bollinger Bands, and SMA.
- It may utilize daily stock prices, quarterly financial reports, and economic indicators as historical data inputs.
- Integration of technical indicators like Bollinger Bands, Simple Moving Average (SMA), and Relative Strength Index (RSI) is a must.
Ideal Skills and Experience:
- Proficient in machine learning and data analysis.
- Familiarity with stock market data and risk management strategies.
- Experience in using technical indicators in predictive modelling.