AI Crypto Analysis Platform
Budget: $30 – $250 USD
I want to launch a web-based platform that applies artificial intelligence to cryptocurrency analysis, delivering clear, real-time insights for Bitcoin, Ethereum and Ripple. The core of the job is to build three complementary analytics engines—technical, fundamental and sentiment—and surface their combined signals through a clean dashboard and API.
Here is what I need from you:
• Technical analysis module that streams market data, runs indicator-based models and highlights trends or break-outs.
• Fundamental analysis module that ingests on-chain metrics, macro news, project updates and scores long-term value.
• Sentiment analysis module that mines social channels, news headlines and forums to gauge crowd mood.
• Unified scoring layer so users can quickly compare all three viewpoints before making a decision.
• Support for BTC, ETH and XRP from day one, with a framework that lets me plug in more assets later.
• A lightweight web UI plus REST/GraphQL endpoints; Python (TensorFlow / PyTorch), Node or similar mainstream stacks are fine—use what you’re best at.
• Clear documentation and a short demo clip showing the system in action.
I’ll consider the work complete when live price feeds flow through each model, the dashboard updates without manual refresh, alerts can be triggered via API, and your read-me lets my own devs extend or host the project independently.
If you’ve built algo-trading or data science apps before and can point me to something comparable, that’s a bonus. Let’s talk about your proposed architecture, timeline and any data providers or libraries you plan to leverage.
Here is what I need from you:
• Technical analysis module that streams market data, runs indicator-based models and highlights trends or break-outs.
• Fundamental analysis module that ingests on-chain metrics, macro news, project updates and scores long-term value.
• Sentiment analysis module that mines social channels, news headlines and forums to gauge crowd mood.
• Unified scoring layer so users can quickly compare all three viewpoints before making a decision.
• Support for BTC, ETH and XRP from day one, with a framework that lets me plug in more assets later.
• A lightweight web UI plus REST/GraphQL endpoints; Python (TensorFlow / PyTorch), Node or similar mainstream stacks are fine—use what you’re best at.
• Clear documentation and a short demo clip showing the system in action.
I’ll consider the work complete when live price feeds flow through each model, the dashboard updates without manual refresh, alerts can be triggered via API, and your read-me lets my own devs extend or host the project independently.
If you’ve built algo-trading or data science apps before and can point me to something comparable, that’s a bonus. Let’s talk about your proposed architecture, timeline and any data providers or libraries you plan to leverage.