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blockchain ai agent llm solana bitcoin

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Basic Information

This repository describes an Onchain AI Agent Platform that combines artificial intelligence with blockchain data to support market analysis, trading insights, and decision-making. The README outlines a system that aggregates financial market data from centralized and decentralized sources, collects social sentiment from platforms like X, Reddit and Discord, and consolidates news via RSS and APIs. It details analytical modules that apply machine learning, predictive analytics and natural language processing to generate market forecasts, sentiment evaluations and tailored trading strategies validated by backtesting. The project emphasizes support for on-chain data and lists an MVP labeled Ordinal API Invoke. The README also includes example user queries for token details, prices, volumes, holders, contract and liquidity addresses, and trade execution requests. A companion backend repository is noted as private and support is provided via Telegram.

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App URL
https://github.com/jwest951227/blockchain-ai-agent-llm-solana-bitcoin
Github Repository
https://github.com/jwest951227/blockchain-ai-agent-llm-solana-bitcoin/blob/main/README.md

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App Details

Features
The README highlights a set of core features focused on data aggregation, analytics and security. Data aggregation capabilities include real-time and historical financial market data through APIs such as CoinGecko, CoinMarketCap and exchange integrations, social sentiment collection from X, Reddit and Discord, and news aggregation and summarization via RSS and APIs. Analytical features include machine learning and NLP for forecasting and sentiment scoring, backtesting to validate trading strategies, and generation of tailored trading signals including momentum-based approaches. Platform-level features called out are direct on-chain data access for transaction analysis, on-demand AI trading recommendations and alerts, and an emphasis on robust security practices to protect user data and transactions. The README also references an MVP implementation using an Ordinal API invoke.
Use Cases
The platform is intended to help traders, analysts and developers by centralizing diverse data sources and applying AI to surface actionable insights. Users can query token-specific information such as current market price, trading volume, active holders, buyer versus seller imbalance, contract addresses and liquidity pairs, and request trade actions. The combined on-chain and off-chain data support enables more accurate transaction analysis and richer context for decision-making. Predictive models and backtesting assist in evaluating and refining trading strategies. Alerts and AI recommendations help identify opportunities without manually monitoring multiple feeds. The README notes that the backend repository is private and that the repository owner can be contacted on Telegram for support.

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