Deep Learning Market Trends
Budget: $100 – $150 USD
I am a commodity trader i want prediction based on historical data available at me. and predict next candlestick before 10 second. in realtime. the software you develop will connected through api to my broker which get realtime data. and predict next candlestick based on deep learning (keras, tensorflow) nural network trained data.
Essential Skills:
- Proficiency in deep learning and AI
- Experience with financial markets
- Understanding of high-level trend analysis
Requirements:
- Develop a predictive model using advanced deep learning techniques.
- The focus will be on recognizing and interpreting significant market trends.
- The model should be adaptable for various commodities, as the specific one is yet to be determined.
I have attached all the commodity data down below and will share one more file with freelancer.
Ideal Candidate:
- Someone with a portfolio showcasing past work in similar projects.
- Strong background in AI with a specialization in financial applications.
Please include in your application:
- Evidence of past work in market prediction using deep learning.
- A brief explanation of your approach to this project.
- Any relevant experience in commodity trading predictions.
Essential Skills:
- Proficiency in deep learning and AI
- Experience with financial markets
- Understanding of high-level trend analysis
Requirements:
- Develop a predictive model using advanced deep learning techniques.
- The focus will be on recognizing and interpreting significant market trends.
- The model should be adaptable for various commodities, as the specific one is yet to be determined.
I have attached all the commodity data down below and will share one more file with freelancer.
Ideal Candidate:
- Someone with a portfolio showcasing past work in similar projects.
- Strong background in AI with a specialization in financial applications.
Please include in your application:
- Evidence of past work in market prediction using deep learning.
- A brief explanation of your approach to this project.
- Any relevant experience in commodity trading predictions.
Related categories:
R Programming Language
Statistical Analysis
Data Science
Deep Learning
Deep Neural Network