Optiver

Vibe-Trading is an open-source AI personal trading agent and quantitative-finance research workspace developed by HKUDS. It turns natural-language finance questions into runnable analysis and backtesting workflows by connecting an agent to market-data loaders, portfolio and backtesting engines, report generation, persistent memory, and multi-agent research teams across asset classes. Its quantitative and risk-analysis capabilities include strategy backtesting, Heston stochastic-volatility pricing, hierarchical risk parity, copulas, and market-microstructure estimators. The project provides API and MCP interfaces, broker and market-data connectors, portfolio-management and broker-authorized trading workflows, examples, documentation, a demo, and a Shadow Account for testing. It supports read-only account sources such as official IBKR MCP and opt-in Binance USD-M snapshots, while scheduling actions require explicit confirmation and live-order safeguards fail closed on contradictory or invalid data. Implemented as a Python project, it uses a connector onboarding system that stores connection secrets in the operating-system keyring and is distributed under an open-source license.

Variational Omni is a decentralized, on-chain perpetual DEX for zero-fee perpetuals and swaps across more than 550 cryptocurrency, stock, commodity, pre-IPO and other tokenized real-world asset markets, including equities, indices, ETFs, forex and meme coins. Users connect a wallet for a single account supporting leveraged long and short positions, including around-the-clock trading outside traditional market hours. The platform sources liquidity from traditional markets and offers points toward a proposed Omni token airdrop, with weekly allocations, a pre-market for points, trading-activity rewards, points farming, promotional and referral-based boosts, including 15% points boosts with the OMNISNIPER and OMNIDOOPS codes.

jev-trader is an AI market-making bot for the Kuru MON-USDC order book on Monad. A TypeSafe Jev model observes the order book once per block and predicts whether to buy or sell over a configurable future horizon; each block, the bot cancels its resting orders and submits a post-only limit order one tick inside the touch, aiming to earn the spread when a taker fills it. Its hot loop reads the book with one RPC call and submits the transaction with one asynchronous raw-transaction call, leaving receipt processing, fee estimates, and vault checks off the critical path. It records block decisions, quotes, fills, positions, and profit-and-loss data, and exposes snapshots, history, and server-sent events through a Bun server. If the model misses the block, it holds and posts nothing; position or margin limits can redirect a quote to the opposite side. The repository supports a dry-run mode with simulated fills and a mock momentum heuristic, or live Jev decisions using a TypeSafe AI API key and private key. It includes a deployed dry-run dashboard endpoint and can be run with Bun.

Venice AI is a private AI platform for generating text, images, characters, video, audio, code and search results through open-source, self-hosted or anonymized models from multiple providers, without intermediary markup associated with services such as OpenRouter. Its privacy architecture offers anonymized access to third-party models, zero data retention for self-hosted open-source models, trusted execution environments (TEEs), and client-side end-to-end encryption for TEE-backed workloads. Venice also provides an OpenAI-compatible API with function calling, web search and multimodal generation for agent applications, alongside a web interface and paid plans.

OpenRouter is a platform that provides a unified interface and API for accessing and comparing multiple AI models and their pricing. It aggregates model endpoints so developers can route prompts to different providers from a single place.