Real-Time News Sentiment & Alt Rank Integration
Budget: $8 – $15 USD
I'm seeking a proficient Python developer with experience in trading platform integration, data analysis, and backtesting. The project requires the development of a system that:
- Retrieves and processes news sentiment from cryptonews.com
- Gathers alt rank from lunarcrush.com
- Forecasts prices using Google Times Series Foundation Model
The system needs to be compatible with the Jesse trading platform, able to perform both backtesting and live trading. Each news article will be classified as positive, negative, or neutral, and the task will involve calculating an indicator value as a rolling sentiment score within a specified window, with a range from -10 to 10.
Key project requirements include:
- Full integration with data APIs from cryptonews.com and lunarcrush.com
- Real-time updates for news sentiment and alt rank data
Ideal candidates should have robust Python programming skills, trading platform experience, and a strong understanding of backtesting and data analysis. Prior experience with the Jesse platform would be a significant advantage.
- Retrieves and processes news sentiment from cryptonews.com
- Gathers alt rank from lunarcrush.com
- Forecasts prices using Google Times Series Foundation Model
The system needs to be compatible with the Jesse trading platform, able to perform both backtesting and live trading. Each news article will be classified as positive, negative, or neutral, and the task will involve calculating an indicator value as a rolling sentiment score within a specified window, with a range from -10 to 10.
Key project requirements include:
- Full integration with data APIs from cryptonews.com and lunarcrush.com
- Real-time updates for news sentiment and alt rank data
Ideal candidates should have robust Python programming skills, trading platform experience, and a strong understanding of backtesting and data analysis. Prior experience with the Jesse platform would be a significant advantage.