Stock Price Prediction Algorithm Development
Budget: $750 – $1,500 USD
I'm seeking experienced machine learning developers to create an algorithm that can predict stock prices using historical stock data. The ideal candidate should be proficient in supervised learning techniques, as this will be the primary approach for the algorithm.
Key Requirements:
- Expertise in machine learning, particularly supervised learning
- Experience working with financial market data
- Ability to develop predictive algorithms based on historical stock data
- Knowledge of algorithm development for stock price prediction
- Strong programming skills
Your task will be to utilise historical stock data to construct a model capable of predicting future stock prices. The project is suitable for those who are not only skilled in machine learning, but also have a keen interest in financial markets. Please provide examples of previous relevant work when bidding.
The algorithm should focus on historical stock data from 2 hours.
Key Requirements:
- Expertise in machine learning, particularly supervised learning
- Experience working with financial market data
- Ability to develop predictive algorithms based on historical stock data
- Knowledge of algorithm development for stock price prediction
- Strong programming skills
Your task will be to utilise historical stock data to construct a model capable of predicting future stock prices. The project is suitable for those who are not only skilled in machine learning, but also have a keen interest in financial markets. Please provide examples of previous relevant work when bidding.
The algorithm should focus on historical stock data from 2 hours.
Related categories:
Python
Statistics
Machine Learning (ML)
Statistical Analysis
Artificial Intelligence