Kanishk Sachan@yashk24281030518

Most AI trading demos stop after producing a buy or sell signal. Volition handles the harder lifecycle: finding an options opportunity, challenging the thesis, enforcing risk, submitting safely, reconciling the broker response, managing the position, and learning only from verified outcomes. Every 15 minutes, Volition reviews a 20-stock universe alongside a 40-instrument cross-asset market tape. Alpaca supplies prices, option contracts, Greeks, implied volatility, account state, orders, and portfolio history. A private Qwen committee evaluates market regime, volatility structure, and the case for taking no trade. The model may interpret evidence, but it cannot invent contracts, size positions, or grant itself permission. Final authority belongs to deterministic code. Sixteen gates check account status, options approval, defined-risk geometry, liquidity, quote freshness, expiry, concentration, drawdown, market hours, duplicate exposure, and Monte Carlo stress. Eligible structures can be submitted as atomic multi-leg orders to a fresh $100,000 Alpaca paper account. Failed checks produce an explicit veto instead of a hidden error. Each review creates a tamper-evident decision passport containing market evidence, AI opinions, option legs, simulations, gate results, and broker lifecycle events. The live app also provides probability-of-profit and loss-tail analysis, news and macro intelligence, live charts, market-session countdowns, performance versus SPY, and an evidence-based learning journal. Volition is for traders, researchers, and risk teams that need explainable automation instead of an opaque signal generator. Every decision ends with either a verifiable Alpaca broker receipt or a clear reason not to trade. It uses Alpaca's Trading API and CLI, operates only in paper trading, and is not investment advice.

Boardroom is a multi-agent document intelligence system that goes beyond summarisation. Instead of a single LLM response, it runs a structured three-phase debate and verification workflow over any uploaded PDF or TXT document. Phase 1 runs three agents in parallel on AMD Instinct MI300X — the Analyst extracts key facts with page citations, the Skeptic aggressively challenges every claim, and the Strategist produces actionable recommendations grounded in evidence. Phase 2 is a live debate — the Skeptic reviews the Strategist's output and challenges it again. The Strategist fires back with a revised position. Phase 3 is the final audit — the Auditor reads the entire debate, marks any unverified claims with [UNVERIFIED], and delivers a single consolidated verdict. The system runs Llama 3.1 70B FP8 on a single AMD Instinct MI300X with 192GB HBM3 memory via vLLM with prefix caching enabled. This allows all four agents to share the same document KV cache, making parallel execution genuinely faster rather than just concurrent. The full document is read without chunking — no RAG, no retrieval, just direct megacontext reasoning. Built with Python, Gradio, and the OpenAI-compatible vLLM endpoint on AMD Developer Cloud.

🌎 Online Hackathon | 💻 Dates: 28 August–4 September 2026 | 🏆 $6,000 Prize Pool Build AI trading agents on Alpaca — autonomous agents and trading apps using Alpaca's Trading API, MCP server and CLI. 🌍 Fully online hackathon. Join and build from anywhere in the world.

To participate in the hackathon, simply click Sign up with AMD. If you are not already a member of the AMD AI Developer Program (ADP), you will need to create an account. ADP members can access AI tutorials, experts, and community support. In addition, new members can claim a free month of DeepLearning.ai pro, $100 in AMD GPU cloud credits, and $50 in Fireworks AI API credits. All hackathon participants will receive on hackathon launch additional compute and API credits for their projects. Ready to build what's next on AMD? Sign up with AMD below to secure your spot.

Grab your ideas, spin up compute, and start building what’s next! Start with $100 in AMD Developer Cloud credits and begin building right away. Get access to hands-on tutorials, workshops, and curated learning resources to help you build faster and go further. To unlock credits and join the hackathon, sign up for the AMD AI Developer Program. 🤝 Go solo or team up — ship something real. 💰 $21,500+ total prize pool & 1 × AMD Radeon™ AI PRO R9700 GPU up for grabs. 📍 On-site Venue (May 9-10): MindsDB SF AI Collective 3154 17th St, San Francisco, California, USA 📍On-site participation is by invitation only. Travel and accommodation expenses will not be covered. 🧑‍💻 Developers, builders, and innovators - bring your boldest ideas and let’s turn them into real AI systems on AMD.