Superior Trade
Managed execution, backtesting, and a deployment lifecycle behind agent-callable endpoints, with an atomic one-call exit and HIP-3 coverage. Closed core, public OpenAPI and docs.
Superior Trade is a managed execution layer for autonomous trading agents on Hyperliquid. Placement, Backtesting, and a deployment lifecycle sit behind agent-callable endpoints, with an atomic one-call exit and coverage across Hyperliquid's HIP-3 markets. The core is closed, but the OpenAPI spec and docs are public.
It scores well on execution, safety, and lifecycle because the brittle loop mechanics (retries, reconnects, a reliable flatten) are handled for you, which is the case loop engineering makes for buying the plumbing instead of building it. It is built on Freqtrade strategy code, so a backtest you run there is reproducible.
Score breakdown
| Criterion | Score |
|---|---|
| Execution | 5 / 5 |
| Safety | 5 / 5 |
| Lifecycle | 5 / 5 |
| Agent-native | 4 / 5 |
| Openness | 3 / 5 |
| Weighted total | 4.50 / 5 |
Per the methodology. Estimates from public docs and code, not paid placements.
Related
- Hyperliquid An on-chain perpetuals venue with a fully on-chain order book, sub-second blocks, and gas-free order actions, unusually friendly to autonomous agents.
- Freqtrade The most-used open-source crypto bot: build, backtest, hyperopt, dry-run, and run live, with an ML module (FreqAI). Now supports Hyperliquid. Not agent-callable out of the box.
- NautilusTrader High-performance event-driven engine (Rust core, Python API). Backtest and go live on the same code. Production-grade, but you wire the agent layer yourself.
- Backtesting Testing a strategy on historical data. Done honestly (with slippage, fees, and funding) it earns the right to paper-trade, not the right to go live.
- MCP (Model Context Protocol) A standard way to hand an AI model a set of typed tools it can call. For trading, the server holds the keys and signs orders; the model only sees tools.
- Loop engineering Designing the control loop an agent runs in (gather context, decide, act, observe, repeat) rather than hand-writing each prompt. A trading agent is a high-stakes example.
- LLM wiki A knowledge base written for a language model: plain markdown entity pages linked with wiki-links that an agent builds and maintains, so knowledge compounds. Lighter than RAG.
What links here
Backtesting · Freqtrade · Hyperliquid · Loop engineering · MCP (Model Context Protocol) · Senpi