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README.md

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-Coming Soon
+HodlBot AI – Project Story
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+🚀 Inspiration
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+The crypto market never sleeps, and neither should your investment strategy. Traditional portfolio management tools often require constant monitoring and manual adjustments, making it difficult for investors to react to market shifts in real-time.
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+I envisioned HodlBot AI as a fully autonomous, AI-powered portfolio manager that optimizes investment strategies, executes intelligent trades, and mitigates risks—without requiring users to micromanage their portfolios. By leveraging NEAR Protocol’s blockchain infrastructure and cutting-edge AI-driven analytics, HodlBot AI brings intelligent, decentralized investing to the masses.
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+🧠 What I Learned
+I explored AI, DeFi, and blockchain automation throughout this hackathon. 
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+Key takeaways include:
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+    NEAR Protocol & Smart Contracts – Learning to deploy smart contracts on NEAR and interact with the blockchain for secure, trustless execution.
+    AI-Driven Market Analysis – Training models on historical price data, social sentiment, and trading indicators to make real-time investment decisions.
+    Web3 Wallet Integrations – Enabling users to connect their NEAR wallets for secure and decentralized transactions.
+    Risk Management Strategies – Developing AI-powered stop-loss mechanisms and automated rebalancing to protect users from volatility.
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+🛠 How I Built It
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+HodlBot AI combines machine learning, blockchain automation, and real-time analytics to deliver an autonomous portfolio manager.
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+💻 Tech Stack
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+    Languages & Frameworks: Python (AI backend), Rust (NEAR smart contracts), React.js (frontend)
+    Cloud & Storage: NEAR Blockchain (on-chain execution), Azure (AI model and app hosting)
+    Data Sources: CoinGecko API (market data), Twitter API (sentiment analysis), TradingView API (trading indicators)
+    Security & Authentication: NEAR Wallet (user login), MetaMask (optional Web3 wallet)
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+🛠 Development Process
+    AI Model Development
+        Trained a predictive AI model using historical crypto data & sentiment analysis.
+        Built a risk assessment engine to manage stop-losses and rebalancing.
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+    Blockchain & Smart Contracts
+        Developed NEAR-based smart contracts to execute transactions autonomously.
+        Integrated NEAR Wallet authentication for secure user access.
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+    Frontend & User Experience
+        Designed a React.js dashboard for users to monitor portfolio performance.
+        Created real-time visualizations for investment insights.
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+🔥 Challenges I Faced
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+1️⃣ NEAR Smart Contract Development
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+Writing and deploying Rust-based smart contracts on NEAR required a steep learning curve. Major hurdles included overcoming gas fees, contract optimization, and blockchain event handling.
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+2️⃣ AI Trading Model Complexity
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+Predicting market movements is tough—crypto is highly volatile and influenced by human sentiment. Finding the right balance between technical indicators and AI-driven insights was key.
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+3️⃣ Web3 Authentication & Security
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+Integrating NEAR Wallet authentication while ensuring secure, trustless execution presented key management and API security challenges.
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+4️⃣ Time Constraints
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+With a limited hackathon window, I had to prioritize essential features while maintaining a functional MVP (Minimum Viable Product).
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+🎯 Final Thoughts
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+HodlBot AI represents the future of AI-powered decentralized investing. By combining the best of machine learning and blockchain automation, I have built a tool that empowers users to optimize their crypto investments without constant micromanagement.
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+This hackathon has been an incredible journey, and I am excited about the possibilities of expanding HodlBot AI beyond the competition. 🚀
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+https://devpost.com/software/hodlbot-ai