QuantTrade Lite
QuantTrader Lite is a fully autonomous AI-powered crypto trading agent designed to solve three core problems in modern trading: information overload, lack of trust in AI decisions, and slow human reaction time. Built for the Lablab.ai Hackathon 2026 (Kraken CLI Track), the system continuously fetches live market data, analyzes it using Groq AI (Llama 3), and executes paper trades via Kraken CLI—all without human intervention. 🧠 How It Works The system follows a 5-step autonomous pipeline: Market Data Ingestion Fetches real-time BTC price and 24h change from CoinGecko API. AI Decision Engine Groq-powered Llama 3 analyzes market trends and generates a BUY / SELL / HOLD signal along with a clear, human-readable explanation. Trade Execution The decision is executed using Kraken CLI in sandbox mode (paper trading). Logging & Transparency Every action is recorded in a structured trade_log.json file for auditability. Live Dashboard A Streamlit interface displays signals, trade history, and charts with auto-refresh every 60 seconds. 💡 What Makes It Different Explainable AI Every decision includes a clear reason—no black-box trading. Fully Autonomous Runs continuously with zero human input. Hackathon-Compliant Direct integration with Kraken CLI ensures full alignment with challenge requirements. Simple but Powerful Built entirely in Python with a lightweight, production-ready architecture. 🛠 Tech Stack Groq API (Llama 3) → AI decision-making Kraken CLI → Trade execution (sandbox) CoinGecko API → Live market data Streamlit → Real-time dashboard Python 3.11+ → Core system 🎯 Impact QuantTrader Lite transforms crypto trading from manual, overwhelming, and opaque into a system that is: ⚡ Fast 🔍 Transparent 🤖 Autonomous It not only trades—but also teaches users why each decision is made, bridging the gap between AI and human trust.
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"Application of Technology 4/5 Solid stack — Gemini AI + Groq fallback + multi-source price feeds + Kraken CLI + Streamlit. The fallback chain (CoinGecko → Binance → CryptoCompare) is well-engineered. Trend computation from trade history is a nice touch. Business Value 4/5 Clear use case — turns crypto trading from "overwhelming and opaque" into "explainable and autonomous." The "mentor explanation" angle is genuinely different from most bots. Target users who want to learn while trading. Presentation 4/5 Clean README, decent diagrams, live Streamlit dashboard. PDF presentation included. Nothing flashy but professional. Originality 3.5/5 The explainability-first approach is distinctive — most trading bots are black boxes. But the core architecture (Streamlit + AI + API) is a common hackathon pattern. Notes: ✅ Multi-source price fallback is robust ✅ Explainable AI — every decision comes with human-readable reasoning ✅ Trend analysis from historical trade log ✅ Clean modular pipeline (6-step flow) ⚠️ README says "Groq API (Llama 3)" but README also says "Gemini 2.0 Flash" — slight inconsistency in which AI is primary ⚠️ Paper trading only (sandbox) — no real on-chain activity to verify ⚠️ Fairly standard architecture overall Total: ~4.0/5 — Solid, honest execution. The explainability angle is its differentiator. Not the most technically complex, but well-polished and genuinely useful for learning."
Sanem Avcil
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