Superior TradeSuperior Trade

Intelligence Infrastructure
for Autonomous Capital

Built for []

NewOpenClaw integration is liveSKILL.md →

The Gap is Real

One bad line of code on a leveraged position and you're wiped out. The pipeline from idea to execution is where real capital lives and dies.

Generic AI

36%accuracy

  • Surface-level code generation
  • No execution validation
  • Untested on live capital
Superior Trade

97.43%accuracy

  • 97.43% strategy-to-code accuracy
  • Only verified strategies touch live capital
  • Battle-tested on real markets since 2025

60s

Idea to Live Strategy

Zero

Code Required

24/7

Autonomous Execution

The Protocol Layer for Agentic Trading

Idea to
Execution

Describe the Idea

Natural language or API call. Works for humans typing in the terminal and agents calling the endpoint.

Strategy Formulation

AI breaks it down: entry logic, exit logic, position sizing, risk parameters. Every strategy production-ready.

Validated Execution

Code generated at 97.43% accuracy. Backtested on 2 years of data. Only verified strategies go live.

Autonomous Operation

Deploy on Hyperliquid. Fully autonomous. Every parameter logged, every trade tracked. More exchanges coming.

The TIA Benchmark Speaks Volumes

Trading Intent Accuracy — the metric that matters. How well does the AI understand what you actually want to trade?

PlatformTrading Intent AccuracyEntry/Exit Accuracy
Superior Trade
97.43%High
ChatGPT / Claude
~36%Low
Generic Trading Bots
~15%Very Low
Verify our benchmark methodology on GitHub

2 Years of Proof Before Your First Trade

In accuracy of trading algorithms, we're not just incrementally better. We're many steps ahead.

Loading chart data...
2 Yearsof historical candle data per coin from first listing day
100%of strategies backtested and validated before going live
Real Signalscomputed entry/exit points shown on live market data

Strategy Formulation

From Intent to Verified Strategy

Describe a trading idea in natural language or via API. The system structures it, generates the code, validates it, and deploys it. Works for humans and agents alike.

Initial Strategy Generation

Tell us your idea. The AI parses your intent and builds the first draft instantly.

Complete Configuration

AI asks smart follow-ups to lock in pair, timeframe, indicators, and entry/exit logic.

Risk Management & Safeguards

Stop-loss, take-profit, position sizing, and circuit breakers — configured automatically.

Review + Launch Deployment

Review the final strategy, run a backtest, and deploy live in one click.

Strategy Created Successfully!

Configuration Summary

DirectionLong & Short
PairSOL/USDC:USDC
Timeframe1h
Entry StrategyFunds breakout
Exit2R target/trailing
Stop LossATR-based dynamic stop
Stoploss on ExchangeEnabled
Position Size2% risk per trade

Infrastructure-Grade Primitives

The best API. The clearest docs. The most reliable infra. That's what agents choose — and agents are about to do the choosing.

97.43% Code Accuracy

The code generation layer hits 97.43% on the TIA benchmark. Strategies that don't pass validation never touch live capital. "Almost right" isn't good enough when one bad function call can liquidate an account.

Verified via open-source benchmark

Agent-Native API

Built for agents first. Standard REST API, clear documentation written for models, real parameter spaces. The LLM reading your docs is the new user.

Works with OpenClaw, KimiClaw & Nanobot

Bulletproof Execution

Leveraged position with bad code = liquidation. Our pipeline validates every strategy end-to-end before it touches capital. Risk management baked in, not bolted on.

Protected users during October crash

Cloud Infrastructure

No local setup. No unstable internet killing order flow. No framework installs, no YAML configs. Agents plug in and trade with the rigor of a prop desk.

Zero local dependencies

2-Year Backtesting

Every strategy validated against historical data before deployment. Complete candle data from each coin's first day on Hyperliquid. Know your edge before risking capital.

Full historical coverage

Multi-Exchange Expansion

Live on Hyperliquid. Expanding to all major DEXes and CEXes. Spot and futures. Digital assets, stocks, commodities. Becoming the universal execution layer.

Hyperliquid live, more coming

This Is Real Execution

Live on Hyperliquid Since November 2025

> Superior.trade
SOL/USDC:USDCLIVE
Strategy #1247
Latest tradesP&L
▲SOL Long14:23
+$142.50
▲SOL Short12:08
+$89.30
▼SOL Long09:41
-$23.10
▲SOL Long07:15
+$201.80

72.4%

Win Rate

1.84

Sharpe

+$410

Today

3.2%

Drawdown

Hyperliquid ConnectedLatency: 12msUptime: 99.97%

Frequently Asked Questions

Everything You Need to Know

From the origin story to technical details, we've got you covered.

What is Superior.Trade

Superior.Trade is the protocol layer for agentic trading. You describe a trading idea in plain language — through our terminal or via API — and the system breaks it into a structured strategy, generates the execution code, validates it against historical data, and deploys it live. Fully autonomous. Every parameter logged, every trade tracked. The code generation layer hits 97.43% accuracy, and strategies that don't pass validation never touch live capital.
Most tools either generate surface-level code that doesn't execute properly, or require you to install frameworks, configure YAML files, and set up toolchains yourself. Superior.Trade solves the entire pipeline: idea to strategy to validated code to live execution. We scored 97.43% on the Trading Intent Accuracy benchmark, while generic AI scored below 36%. The difference is simple: our code works in production, theirs doesn't.
Three audiences. Traders who want to describe strategies in natural language and deploy them without writing code. AI agents that need reliable strategy execution infrastructure via API. Platforms like OpenClaw, KimiClaw, and Nanobot that want to give their agents trading capabilities through our skill system.

The Origin Story

March 2025. We put real money in the hands of fully autonomous AI agents and let them trade unsupervised on public markets for 36 days. Multiple agents, different LLMs, real capital, zero human intervention. One agent returned 34.8%. Others crashed and burnt. The real value wasn't the returns — it was discovering that the infrastructure connecting insight to execution was fundamentally unreliable. That's what we set out to fix.
Trading comes down to three things: a good idea, sound risk management, and bulletproof execution. The AI models weren't nailing ideas — but every frontier model that ships is better at reasoning. That problem solves itself. The infrastructure layer — strategy formulation and code execution — that's where real capital lives and dies. That's what we built.

How It Works

  1. 1.Describe your idea — Natural language in the terminal, or a structured API call from an agent
  2. 2.Strategy formulation — The system structures entry logic, exit logic, position sizing, and risk parameters
  3. 3.Validated execution — Code generated and backtested on 2 years of data. Only verified strategies proceed
  4. 4.Deploy live — One action to launch autonomously on the exchange
No. Zero coding required. If you can describe what you want — even vaguely — the system handles everything. We've processed prompts from "help me buy BTC safely" to complex institutional-grade multi-condition strategies.
Through our API or our published skill file. Agents can load our skill from superior.trade/SKILL.md and immediately gain the ability to create, backtest, and deploy strategies. Already tested and working with OpenClaw, KimiClaw, and Nanobot.

Technical & Security

97.43% on the Trading Intent Accuracy (TIA) benchmark — measuring how accurately the system translates trading ideas into executable code. Our closest competitor scores 35.89%. The benchmark is open-source on GitHub for verification.

Capital security is the top priority. When in doubt, the system always protects user assets first.

  • Trading funds remain on your exchange — we never hold your money directly.
  • All strategies undergo automatic backtesting before deployment.
  • Dual-layer stop-loss mechanism guards against sudden market crashes.
  • Only validated strategies touch live capital. Failed validation = no deployment.
  • Battle-tested on real markets since November 2025.
Currently live on Hyperliquid (spot and futures). Expanding to all major DEXes and CEXes. The goal: become the universal execution layer across all exchanges and asset classes — digital assets, stocks, commodities.

Getting Started

Three paths depending on who you are:

  • Traders: Use the Superior Trade terminal to describe your idea, backtest, deploy.
  • Agent developers: Load our skill from superior.trade/SKILL.md or integrate via REST API.
  • Platform operators: Integrate our skill file to give your agents trading capabilities.
Freemium model. No upfront costs. We earn from exchange referral fees for volume directed through the platform. Start trading immediately without subscription fees.
Yes. Every strategy is automatically backtested on up to 2 years of historical data — complete candle data from each coin's first day on Hyperliquid. See exactly how it would have performed before deploying any real capital.

Vision & Direction

The future of software isn't better products. It's better primitives. By the end of this year, OpenAI, Anthropic, and Google will each ship agents that make current tools look like prototypes. Every person using an LLM will have a personal agent. We're building the execution layer those agents will plug into for trading. The best API, the clearest docs, the most reliable infra.
Nobody sits through a clunky UI anymore. The interface layer is compressing toward zero. What survives? API quality. Infrastructure depth. Documentation clarity — not for humans, for models. If the pipeline works for humans describing ideas in natural language, it works even better for agents. We're building for both.

Immediate roadmap:

  • Expansion to all major DEXes
  • Integration with top CEXes
  • Becoming the universal AI trading layer across all exchanges
  • Cross-chain and cross-exchange arbitrage strategies