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10 AI Trading GitHub Repos You Should Have on Your Radar: TradingAgents Multi-agent trading firm with analysts, researchers, risk managers, and a portfolio manager. AI Hedge Fund Investor-inspired agents debating valuation, sentiment, fundamentals, and risk. FinRL-X AI-native infrastructure for data, strategy development, backtesting, risk and execution. Qlib Microsoft’s platform for ML-based quantitative research and production workflows. RD-Agent Multi-agent factor discovery and model optimization for quantitative research. FinGPT Open-source financial language models, datasets and sentiment pipelines. FinRobot LLM agent platform for financial analysis, research reports and strategy workflows. AI-Trader An agent-native platform where AI agents can generate and exchange trading signals. Agentic Trading Lab Traceable experiments, backtests, paper trading, and decision logs for LLM agents. TradingGoose Multi-agent research and portfolio analysis built around market-moving events. The opportunity is not asking an LLM whether to buy a stock. It is building a measurable loop: >data >hypothesis >signal >sizing >execution >evaluation >memory Treat these as research infrastructure, not plug-and-profit bots. Save the list. Fork the systems. Verify every result.
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Fixed-income is not well covered in MoTA yet. Mostly equity-focused right now. Hope they expand asset class coverage over time. #MoTA# #TradingAgent# #DecisionIntelligence# #AITools#
Meet the Fortune AI Trading Agent 🤖 Fortune Agent is a cutting-edge hybrid multi-agent system that anyone can use to compete in prediction markets. Our agent provides 24/7 market intelligence, structured decision-making, risk management, and disciplined execution for retail traders in prediction markets. It’s specifically designed to keep you competitive in a fast-paced, volatile market where every millisecond counts. Claim your FREE Fortune Agent now: #AITrading# #Airdrop# #Predictionmarket#
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Before a trading agent can touch execution, it needs four boundaries: • what it can trade • how much it can risk • how long permission lasts • how you stop it Smarter automation should come with tighter controls, not looser ones.
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The biggest users of trading platforms over the next decade might not be humans They'll be intelligent agents We're already moving toward a world where AI can analyze markets, monitor positions, and execute strategies in real time At LAB, we are building for a future where traders and AI agents work side by side If you had your own AI trading agent, what's the first thing you'd ask it to do?
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🚨 BNB HACK: AI Trading Agent Edition (Hackathon) 🗓️ Build Duration: June 3-21 💰 Prize Pool: $36K 🏛️ CMC Prize: $2K (Share CMC Agent Hub content on X/Twitter) 🏛️ 3 Organizations: 🔹 BNB Chain 🔹 CoinMarketCap 🔹 Trust Wallet 🏗️ Build the stack. Be the first. 👇 2/2
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Everyone hears “autonomous AI trading agent” and thinks hands-off. But real autonomy isn’t about walking away. It’s about trusting what happens when you do.
GPT-6 Astra is the most powerful trading agent right now. It gives you AGI-adjacent reasoning. I've shown the exact way to use GPT-6 Astra at its HIGHEST benchmark. You could literally build MOST complex trading models like hedge fund with it.
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Astra Nova × Alphio AI @AlphioAI is an AI trading agent that lets users research, monitor, and execute across stocks, crypto, perpetuals, and prediction markets through simple conversation without giving up custody of their funds. 🔥 This collaboration connects Astra Nova’s AI entertainment ecosystem with Alphio’s AI-native trading layer, opening the door to new ways for both communities to engage. ⚡️ More details coming soon.
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🚀 New on Bluprint Build your own AI Trading Agent. 🤖 🧠 Own your AI. 📈 Trade 24/7. 💰 Earn when others use it. Start building 👇