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Development of a Bot for Token Holder Analysis and Signal Generation with Continuous Ai-Driven Learning

Published on the October 31, 2024 in IT & Programming

About this project

Open

I need to develop a bot that can analyze the top 30 holders of specified tokens and generate signals based on these holder patterns. The bot should be capable of continuous learning by receiving user feedback and retraining itself to improve accuracy over time.

The bot will perform initial supervised training with XGBoost, learning to differentiate between tokens with high growth potential (good signals) and those with lower potential (bad signals) based on historical data. Once the model is trained, the bot should classify each new token submission and issue alerts with a growth probability score. I would like the project to start as soon as possible and am available for continuous feedback to ensure clarity and effectiveness.

Project overview

This bot will help analyze token holder patterns, provide timely signals, and continuously learn to improve predictions based on user feedback. I have immediate availability to discuss details, provide feedback, and facilitate adjustments throughout the development process.

Category IT & Programming
Subcategory Web development
What is the scope of the project? Medium-sized change
Is this a project or a position? Project
I currently have I have specifications
Required availability As needed
API Integrations Other (Other APIs)
Roles needed Developer

Delivery term: Not specified

Skills needed

MySQL PHP API Python Artificial intelligence Machine Learning Pytorch scikit-learn

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