Intelligence
Infrastructure
for Autonomous
Capital

Built for [|]

All-in-OneNo Setup

Terminal

Draw where you think the market's going — or just ask. The AI turns it into a real setup with entry, stop, and target, ranks more beside it, then deploys and manages the trade for you.

Open Terminal
Agent-NativeInteroperable

Skills

A growing library of trading skills your agents call directly — to research, test, and execute strategies at scale, across any agent ecosystem.

Browse Skills
2-Year Backtests100% Uptime

Infra

The data, reasoning, and execution layer underneath — live feeds, a backtest engine, deployment runtime, and risk controls, validated before any capital moves.

View on GitHub

Trading has changed. Agents are here.

$52.6B
AI-agent market by 2030, up from $7.8B (+575%)
2.2B
active agents by 2030 (IDC forecast)
300M×
token-consumption growth by 2030
See Data

Millions of agents are
about to enter the financial markets.

They'll need the same foundations every trader relies on — now delivered as infrastructure an agent can call.

Accurate Data

Accurate Data

In markets, the wrong number loses money. Every agent runs on the same institutional-grade view the top funds rely on — decisions built on truth, not noise.

Agent-Native Interface

Agent-Native Interface

Agents can't click dashboards built for people. Ours is the interface machines read and act on directly — so any agent plugs in and starts trading in minutes.

Reliable Deployments

Reliable Deployments

Real capital can't go offline. Strategies run 24/7 with risk controls always on — the reliability institutions demand before trusting a dollar to a machine.

We're building the financial rails for autonomous capital — one infrastructure to serve every agent, empowering them to be great traders.

Access Superior Trade.

Reach our execution layer from the agents and apps you already use — the same data feeds, backtest engine, and live deployment, available everywhere.

Submit Ideas
OpenClaw

OpenClaw

AI Harness
HelloMinds

HelloMinds

AI Harness
Hermes

Hermes

AI Harness
Superior Terminal

Superior Terminal

App
Telegram Bot

Telegram Bot

App

A library agents
plug into.

Composable, agent-native skills — signal, reasoning, and execution an agent calls directly. Each one backtested before it ships.

View on GitHub
✦ ✦ ✦
Hellominds
OpenClaw
Hermes

Intelligence Scan

BucketsHIP-3

Bucket-ranked setups — squeeze, stealth, coiled, basis — across Hyperliquid alts.

$Run an intelligence scan on Hyperliquid alts

Smart Money

NansenWallets

Surface and track proven on-chain wallets, piped from Nansen.

$Track smart-money wallets on ETH

Liquidation Heatmap

LiquidityCoinGlass

Map liquidation clusters as support and resistance zones.

$Show me the BTC liquidation heatmap

Funding Rate Scan

FundingCarry

Surface negative-funding longs — get paid to hold.

$Scan for negative funding across Hyperliquid

Open Interest Divergence

OIReversal

Flag open-interest-versus-price divergences that precede reversals.

$Find open-interest divergences on majors

Long/Short Ratio Extremes

PositioningContrarian

Crowd-positioning extremes as a contrarian tell.

$Alert when the long/short ratio hits an extreme

Whale Flow Alerts

On-chainFlows

Large transfers and exchange in/outflows, in real time.

$Alert on whale inflows to exchanges

Volatility Squeeze Scan

VolatilityCompression

Detect volatility compression before the expansion.

$Scan for volatility squeezes on Hyperliquid

Spot–Perp Basis Monitor

BasisCarry

Track spot-perp basis dislocations for carry setups.

$Monitor spot-perp basis on ETH

Backtest Best Practices

ValidationWalk-forward

Window selection, trade-count thresholds, and parameter sweeps.

$Review my backtest for overfitting

Walk-Forward Validation

RollingOut-of-sample

Rolling in/out-of-sample testing to confirm an edge holds.

$Run walk-forward validation on my strategy

Overfitting Guard

RobustnessSweep

Parameter-sweep sensitivity checks before going live.

$Check my strategy for overfitting

Fee Optimization

Maker/TakerBudget

Maker vs taker, builder-code fee, and the edge-to-fee ratio.

$Optimize fees for a high-turnover strategy

Position Sizing

Vol-scaledKelly

Volatility-scaled, Kelly-capped sizing per setup.

$Size positions by volatility for my strategy

Risk Budgeting

DrawdownCaps

Per-trade and portfolio drawdown caps that auto-enforce.

$Set a 10% portfolio drawdown cap

Regime Overlay

TrendFilter

Gate entries by market regime — trend versus range.

$Only trade my strategy in trending regimes

Correlation Filter

PortfolioDiversify

Avoid stacking correlated positions across pairs.

$Stop me from stacking correlated trades

DSL Exit Engine

ExitsLogic

Compose exit logic — trailing, time-based, and regime exits.

$Design a trailing + time-based exit for my strategy

EMA Cross Trend

TrendCross

50/200 EMA cross trend-follow with a trailing stop.

$Backtest an EMA 50/200 cross on NASDAQ 1h

Donchian Breakout

TrendBreakout

Channel breakout entry with a trailing stop.

$Backtest a Donchian breakout on BTC 1h

Bollinger Mean Reversion

RangeADX

Band fade with an ADX regime filter so it fires only in ranges.

$Build a Bollinger mean-reversion bot for ETH

Grid Trading

RangeLadder

Profit-laddered grid — adds on weakness, takes profit on the bounce.

$Set up grid trading on SOL

Funding Carry

Delta-neutralFunding

Delta-neutral position that harvests funding.

$Build a delta-neutral funding carry on HYPE

Breakout Retest

BreakoutRetest

Enter on the retest of a broken level, not the break itself.

$Trade breakout retests on BTC

DCA Schedule

ScheduleAccumulate

Scheduled buys via adjust_trade_position — weekly, daily, or monthly.

$Create a weekly DCA into BTC

TWAP Entry

ExecutionImpact

Time-sliced entries to cut market impact on size.

$Enter my position via TWAP over an hour

Scale-Out Take Profit

ExitsLadder

Laddered partial exits as price runs in your favor.

$Add laddered take-profits to my position

Latest from X.

Shipping notes and signals from the team — straight from the timeline.

Follow @SuperiorTrade_
Superior Trade
Superior Trade
@SuperiorTrade_

zcash:native +45% this week. Plan the next move on Terminal.Superior.Trade

Sep 10, 2026
Superior Trade
Superior Trade
@SuperiorTrade_

Superior.Trade scans every Hyperliquid market, finds the strongest trend and builds the plan.

Sep 4, 2026
Superior Trade
Superior Trade
@SuperiorTrade_

solana:So11111111111111111111111111111111111111112 +44% since August began. Where was your strategy for this? Terminal.Superior.Trade

Aug 28, 2026

Everything you need to know.

From the origin story to the technical details — how autonomous capital actually runs on Superior Trade.

Start here

Yes — that's exactly who this is built for. If you can describe an idea in plain words — "buy bitcoin when it dips hard" — the system turns it into a real strategy, tests it against two years of market history, and shows you how it would have done before any real money is involved. No charts, no indicators, no finance degree. And trading always carries risk, so nothing goes live until it passes testing and you say so.
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.

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.
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.

What is Superior Trade

Agentic trading is when an autonomous AI agent — not a human clicking buttons — researches the market, forms a strategy, validates it, and executes trades on your behalf, end to end. It's the step beyond a trading bot: a bot runs fixed rules you hand-code, while an agent reasons about the idea, writes the execution logic, backtests it, and adapts. Superior Trade is the execution layer those agents run on — so the reasoning happens in the model and the trading happens reliably on-chain.
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. 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. 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, HelloMinds, and Hermes 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. (A one-off experiment, not a promise of returns.) 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.
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, HelloMinds, and Hermes.

Technical & Security

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 Terminal to describe your idea, backtest, and 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.

Vision & Direction

The future of software isn't better products. It's better primitives. Every person using an LLM will have a personal agent. We're building the execution layer those agents 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 only do one thing.

Empowering agents to
be great traders.

Open Terminal

$50 in free credits.

Superior Terminal — a live stock chart with the AI setup detector; draw your thesis and Detect surfaces ranked setups to deploy