Fixed Price Recruitment: Development of an Automated Hedging AI Model
Budget: $50 – $0 USD
Fixed Price Recruitment: Development of an Automated Hedging AI Model
Application Deadline: December 12th
This is a fixed-price project. Applicants are required to provide a detailed time frame and budget estimation for project completion. Please note that applications without a time plan and budget estimation will be considered invalid.
Tasks to be completed:
1. Hedging AI Model
2. Odds-Based Goal Alert
3. Hedging Strategy Automated Execution Module
(For detailed requirements and specifics, please refer to the attached images)
We will provide:
1. A real historical dataset of 10,000 entries.
2. Access to one website account for automation purposes.
Project Challenges:
1. Data to be scraped in later stages will be distributed across different levels of web pages, not confined to a single level.
2. To prevent websites from detecting automated operations, it is necessary to design camouflages to circumvent websites' unfriendly stance towards automation.
3. The success of the project depends on the efficiency and quality of the Odds-Based Goal Alert construction.
4. A key consideration is whether the decision-making layer AI can perform high-quality and timely risk-avoidance operations in extreme situations.
5. Due to my limited English proficiency, video conferencing is not feasible. Applicants must be able to fully understand the explanatory images in the project. Our communication will rely solely on messages assisted by translation software.
Application Deadline: December 12th
This is a fixed-price project. Applicants are required to provide a detailed time frame and budget estimation for project completion. Please note that applications without a time plan and budget estimation will be considered invalid.
Tasks to be completed:
1. Hedging AI Model
2. Odds-Based Goal Alert
3. Hedging Strategy Automated Execution Module
(For detailed requirements and specifics, please refer to the attached images)
We will provide:
1. A real historical dataset of 10,000 entries.
2. Access to one website account for automation purposes.
Project Challenges:
1. Data to be scraped in later stages will be distributed across different levels of web pages, not confined to a single level.
2. To prevent websites from detecting automated operations, it is necessary to design camouflages to circumvent websites' unfriendly stance towards automation.
3. The success of the project depends on the efficiency and quality of the Odds-Based Goal Alert construction.
4. A key consideration is whether the decision-making layer AI can perform high-quality and timely risk-avoidance operations in extreme situations.
5. Due to my limited English proficiency, video conferencing is not feasible. Applicants must be able to fully understand the explanatory images in the project. Our communication will rely solely on messages assisted by translation software.