🤓 Latest Submissions
TradeGuard AI
TradeGuard AI is an autonomous multi-agent system that audits trading strategies for risk exposure and FTMO prop firm compliance. Paste a strategy or EA config, get a full professional audit in 50 seconds. THE PROBLEM FTMO and similar prop trading challenges have a 90%+ failure rate. Most traders fail not because their edge is bad, but because they violate risk rules: daily loss limits, max drawdown caps, leverage exposure. Manual self-audit is full of blind spots. A trading coach costs hundreds. TradeGuard delivers that audit in 50 seconds, free, on AMD compute. THE ARCHITECTURE Built as a true LangGraph multi-agent pipeline — not a single-prompt chatbot. Four specialized LLM nodes pass structured state: 1. Parser — extracts trading params from natural language 2. Risk Analyzer — scores position sizing, drawdown, leverage, R:R 3. FTMO Compliance — validates against real prop firm rules (5% daily loss, 10% max DD) 4. Recommendations — generates prioritized actionable fixes A final assembler combines outputs into a structured report with risk score, compliance score, FTMO readiness, and ranked corrections. THE STACK Qwen 2.5 72B Instruct running on AMD Instinct MI300X (192GB VRAM) via ROCm 7.2 + vLLM 0.17.1. FastAPI backend, React+Vite frontend on Vercel, Cloudflare Tunnel bridging the AMD VM. Full pipeline runs in ~48 seconds end-to-end. BUSINESS VALUE Prop trading is a $10B+ industry in annual challenge fees. Even a freemium SaaS capturing a fraction (free audits, paid backtesting) is viable. The same agent architecture extends to compliance-driven domains: regulatory checks, code audits, contract review. ORIGINALITY No existing tool combines structured multi-agent reasoning with prop-firm-specific compliance rules in a clean, demo-ready interface. Built fully on AMD Developer Cloud during the hackathon. MIT licensed. Live: tradeguard-ai.vercel.app Code: github.com/Makabeez/tradeguard-ai
10 May 2026
AlphaDrip
AlphaDrip is an x402-monetized trading signal API where every call is a real on-chain USDC settlement on Arc Testnet. No subscriptions, no middlemen, no batching abstractions — just direct per-call payment at $0.003 USDC, settled in sub-second time via EIP-3009 transferWithAuthorization on Arc's USDC contract. The cascade engine connects to Hyperliquid's public WebSocket trade feed, evaluates BTC trade volume against a rolling baseline, and fires liquidation cascade signals when volume spikes >2.5× with directional bias >70%. Each signal is exposed via a paywalled HTTP endpoint that returns 402 Payment Required, advertising Arc Testnet USDC as the accepted asset. Consumers sign an EIP-3009 authorization off-chain (no Gateway deposit required), the producer relays it on-chain as a real USDC transfer, the signal payload is returned with the Arc transaction hash. Every paid call is independently verifiable on the Arc Block Explorer. A recorded 326-second demo session produced 163 paid on-chain settlements, 263 cascade signals fired, $0.483 USDC settled by the consumer, $0.489 USDC earned by the producer (the difference being the producer's gas reimbursement of ~$0.0019 per tx). Net producer margin after gas: 36% — economically viable per-call pricing that's impossible on any other L1. The original architecture targeted Circle Gateway's batched-x402 facilitator. We discovered that endpoint returns "unsupported_network" for Arc Testnet (eip155:5042002) — a real bug we documented and submitted as Circle product feedback. Per the Arc team's explicit Discord guidance ("you can build x402-style logic on Arc, you'll need to implement the logic yourself"), we pivoted to direct EIP-3009 settlement, which works perfectly because Arc's USDC at 0x3600... is a fully EIP-3009-compliant Circle FiatTokenV2. Live demo: https://alphadrip.baserep.xyz Source: https://github.com/Makabeez/alphadrip
26 Apr 2026
