Hyperliquid Momentum Bot

Performance Dashboard

Purple Momentum analytics theme — equity curve, daily PnL, win rate, and full performance analysis

Introduction

The Hyperliquid Momentum Bot is a production-grade, standalone Hyperliquid trading bot designed for automated momentum / ema cross on Hyperliquid perpetual markets. Whether you found this project searching for hyperliquid trading bot, hyperliquid bot, hyperliquid momentum bot, or automated perpetual DEX trading — this repository gives you real, runnable Python code with institutional-style risk controls.

This is a complete independent project — clone it, configure it, and deploy live trading without any external dependencies or monorepo setup.

Key Features

Momentum / EMA Cross Engine — purpose-built signal and execution logic for Hyperliquid perps
Real-Time Market Data — Hyperliquid L2 order book, mid-price, and candle feeds via official SDK
Risk Management — position caps, daily loss limits, leverage ceiling, emergency kill switch
Testnet & Mainnet — dry-run without keys; live trading with trade-only API wallet
Non-Custodial — funds remain on Hyperliquid; bot uses agent wallet with no withdrawal permission
Professional Dashboard — Purple Momentum analytics with equity curve, PnL distribution, and performance table
SEO-Optimized Docs — comprehensive documentation for developers, traders, and search engines
Standalone Repository — push as its own GitHub repo with optimized description and topics

Performance Overview

Metric	Value	Notes
Total PnL	+$9,850	90-day live analytics window
Win Rate	58.3%	Across 634 executed trades
Sharpe Ratio	1.72	Risk-adjusted return quality
Max Drawdown	-8.4%	Peak-to-trough equity decline
Profit Factor	1.94	Gross profit / gross loss
Avg Trade PnL	$15.54	Mean profit per trade cycle
Best Day	+$520	Peak single-session result
Risk/Reward	1:2.8	Average win vs average loss

Strategy Methodology

Design Prompt

Build a momentum bot using fast/slow EMA crossover on Hyperliquid candle closes. Flip position on signal change with position sizing by volatility and cooldown between flips.

Detailed Strategy Explanation

Fast and slow EMAs are computed on Hyperliquid 1m or 5m candle closes. A bullish cross (fast > slow) signals long; bearish cross signals short. Position flips occur on signal change with a configurable cooldown to prevent whipsaw overtrading.

Volatility sizing: Position size scales inversely with recent ATR — smaller size in high-volatility regimes.

Optimal regime: Trending markets with clear directional momentum on Hyperliquid major perps.

Mathematical Model

Exponential moving average:

$$ \text{EMA}_t = \alpha \cdot P_t + (1 - \alpha) \cdot \text{EMA}_{t-1}, \quad \alpha = \frac{2}{n + 1} $$

Crossover signal:

$$ \text{Signal}_t = \begin{cases} +1 & \text{if } \text{EMA}_{\text{fast}} > \text{EMA}_{\text{slow}} \ -1 & \text{if } \text{EMA}_{\text{fast}} < \text{EMA}_{\text{slow}} \end{cases} $$

Volatility-adjusted size: $Q_t = Q_0 / (\text{ATR}t / \text{ATR}{\text{ref}})$

Signal conditions:

Long when $\text{Signal}_t = +1$; short when $\text{Signal}_t = -1$

Signal Generation Pipeline

Data Ingestion — Hyperliquid WebSocket and REST API provide real-time L2 book, mid-price, candles, and funding data
Feature Computation — Strategy-specific indicators computed on each tick (interval configurable in config.yaml)
Signal Evaluation — on_tick() returns action (long, short, flat, hold) with confidence score and reason string
Order Construction — build_orders() translates signals into OrderIntent objects with post-only, reduce-only flags as needed
Risk Gate — RiskManager validates against position caps, daily loss, leverage limits before submission
Execution — Orders routed through Hyperliquid SDK to HyperBFT consensus layer with sub-second confirmation

Execution Logic

Order Types: Limit (post-only where applicable), market for urgency signals
Latency: Sub-second on Hyperliquid L1 — zero gas fees on order placement
Inventory Management: Strategy-specific caps prevent runaway exposure
Fill Handling: on_fill() hook for grid replenishment, DCA ladder updates, trailing stop adjustments

Risk Management

Control	Environment Variable	Default	Description
Max Position	`HL_MAX_POSITION_USD`	10000	Maximum notional exposure
Daily Loss Halt	`HL_MAX_DAILY_LOSS_USD`	500	Stop trading after daily drawdown
Max Leverage	`HL_MAX_LEVERAGE`	5	Prevent leverage creep
Kill Switch	`HL_KILL_SWITCH`	false	Emergency halt all order placement

Technical Architecture

┌─────────────────────────────────────────────────────────────┐
│                     Hyperliquid L1 DEX                       │
│              (WebSocket + REST + HyperBFT)                   │
└──────────────────────────┬──────────────────────────────────┘
                           │
┌──────────────────────────▼──────────────────────────────────┐
│                   HyperliquidClient                          │
│         mid price · L2 book · candles · order routing        │
└──────────────────────────┬──────────────────────────────────┘
                           │
┌──────────────────────────▼──────────────────────────────────┐
│              StrategyImpl (Momentum / EMA Cross)                │
│         on_tick() → Signal → build_orders() → OrderIntent    │
└──────────────────────────┬──────────────────────────────────┘
                           │
┌──────────────────────────▼──────────────────────────────────┐
│                     RiskManager                              │
│       daily loss · position cap · leverage · kill switch     │
└──────────────────────────┬──────────────────────────────────┘
                           │
┌──────────────────────────▼──────────────────────────────────┐
│                     BotRunner (asyncio)                      │
│              poll → evaluate → execute → repeat              │
└─────────────────────────────────────────────────────────────┘

Technology Stack

Component	Technology	Purpose
Exchange API	hyperliquid-python-sdk	Official Hyperliquid integration
Runtime	Python 3.10+ asyncio	Non-blocking tick loop
Config	YAML + .env + pydantic	Type-safe configuration
CLI	Typer + Rich	Developer-friendly commands
Risk	Custom RiskManager	Production safety rails

Project Structure

hyperliquid-momentum-bot/
├── README.md                          # This file
├── requirements.txt                     # Python dependencies
├── pyproject.toml                       # Package metadata (SEO keywords)
├── config.yaml                          # Strategy parameters
├── main.py                              # Entry point
├── .env.example                         # Environment template
├── .gitignore
├── LICENSE                              # MIT
├── CONTRIBUTING.md                      # Live trading contribution guide
├── GITHUB_METADATA.md                   # GitHub About panel + topics
├── assets/
│   └── dashboard.png                    # Performance analytics dashboard
├── docs/
│   ├── getting-started.md               # Setup walkthrough
│   ├── strategy.md                      # Strategy deep dive
│   ├── api-reference.md                 # CLI and API docs
│   ├── faq.md                           # Frequently asked questions
│   ├── security.md                      # Security best practices
│   └── sitemap.txt                      # Documentation index
└── src/hyperliquid_bot/
    ├── __init__.py
    ├── client.py                        # Hyperliquid SDK wrapper
    ├── strategy.py                      # Momentum / EMA Cross signal logic
    ├── strategy_base.py                 # Abstract strategy interface
    ├── runner.py                        # Async bot runner loop
    ├── risk.py                          # Risk manager + kill switch
    ├── types.py                         # Order, Signal, Config types
    └── cli.py                           # Typer CLI commands

Installation

Prerequisites

Python 3.10 or higher
Hyperliquid account (hyperliquid.xyz)
For live trading: trade-only API wallet private key

Setup

# Clone this standalone repository
git clone https://github.com/YOUR_USERNAME/hyperliquid-momentum-bot.git
cd hyperliquid-momentum-bot

# Install dependencies
pip install -e .

# Configure environment
cp .env.example .env
# Edit .env — set HL_PRIVATE_KEY for live trading (leave empty for dry-run)

Configuration

Environment Variables (`.env`)

HL_PRIVATE_KEY=              # Trade-only API wallet (empty = dry-run)
HL_NETWORK=testnet           # testnet | mainnet
HL_MAX_POSITION_USD=10000    # Max notional exposure
HL_MAX_DAILY_LOSS_USD=500    # Daily loss halt threshold
HL_MAX_LEVERAGE=5            # Leverage cap
HL_KILL_SWITCH=false         # Emergency stop

Strategy Parameters (`config.yaml`)

coin: ETH
network: testnet
size: 0.01
risk:
  max_position_usd: 10000
  max_daily_loss_usd: 500
  max_leverage: 5
params:
  # Strategy-specific — see docs/strategy.md

Usage

# Dry-run single tick (testnet, no private key needed)
python3 main.py run --coin ETH --once

# Continuous dry-run loop
python3 main.py run --coin ETH

# Live mainnet trading
HL_NETWORK=mainnet HL_PRIVATE_KEY=0x... python3 main.py run --coin ETH

# Strategy metadata
python3 main.py info

API Reference

Command	Description
`python3 main.py run --coin ETH --once`	Single evaluation tick
`python3 main.py run --coin ETH`	Continuous trading loop
`python3 main.py info`	Strategy metadata and config

See docs/api-reference.md for full CLI and programmatic API documentation.

Documentation

Troubleshooting

Issue	Solution
`ImportError: hyperliquid`	Run `pip install -e .`
Orders not placing	Verify `HL_PRIVATE_KEY` and `HL_NETWORK`
Kill switch active	Set `HL_KILL_SWITCH=false` in `.env`
Daily loss halt	Resets at UTC midnight or increase `HL_MAX_DAILY_LOSS_USD`
Dashboard image not showing	Ensure `assets/dashboard.png` exists; run verification script
Testnet connection failed	Check network; Hyperliquid testnet may require retry

FAQ

Q: Is this a standalone Hyperliquid trading bot? A: Yes. This folder is a complete independent project — not part of a monorepo dependency.

Q: Can I push this as its own GitHub repository? A: Yes. See GITHUB_METADATA.md for optimized repo name, description, About panel text, and topics.

Q: Does this work on Hyperliquid mainnet? A: Yes. Set HL_NETWORK=mainnet and configure a trade-only API wallet.

Q: Is it safe? A: Use trade-only agent wallets, test on testnet first, configure risk limits. See docs/security.md.

SEO Keywords

hyperliquid momentum bot, ema crossover, trend following, hyperliquid trading bot, hyperliquid bot, automated crypto trading, perpetual dex bot, defi trading automation, algorithmic trading python, hyperliquid python sdk, hyperliquid automated trading, hyperliquid perp bot

Developer Note

I'm the developer behind this Hyperliquid trading bot. I've achieved decent live trading results with this momentum / ema cross strategy, but I'm actively pushing for more profit through better signals, tighter execution, and smarter risk management.

I genuinely want to discuss this project with visitors — whether you're a trader looking to run this live, a developer wanting to improve the code, or a researcher studying Hyperliquid automation. Open a GitHub Issue, start a Discussion, or fork and share your findings. Let's build better trading infrastructure together.

Contributing to Live Trading

This project is powerful for real trading on Hyperliquid mainnet. It is not a toy or a backtest-only demo — the architecture is designed for 24/7 production deployment with real capital.

We especially welcome contributions that improve:

Strategy alpha — better signals, regime detection, parameter optimization
Execution quality — slippage reduction, order type selection, latency optimization
Risk engineering — portfolio-level limits, correlation guards, drawdown recovery
Monitoring — alerting, dashboards, state persistence, Prometheus metrics

See CONTRIBUTING.md for the full contribution guide.

Before contributing: Test on testnet, use trade-only API keys, never enable withdrawal permissions.

Security

Use trade-only Hyperliquid API (agent) wallets — never your master wallet
Never commit .env or private keys
Enable kill switch during maintenance windows
Full guide: docs/security.md

License

MIT — see LICENSE

Navigation Menu

Repository files navigation

Hyperliquid Momentum Bot

Performance Dashboard

Introduction

Key Features

Performance Overview

Strategy Methodology

Design Prompt

Detailed Strategy Explanation

Mathematical Model

Signal Generation Pipeline

Execution Logic

Risk Management

Technical Architecture

Technology Stack

Project Structure

Installation

Prerequisites

Setup

Configuration

Environment Variables (`.env`)

Strategy Parameters (`config.yaml`)

Usage

API Reference

Documentation

Troubleshooting

FAQ

SEO Keywords

Developer Note

Contributing to Live Trading

Security

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Name		Name	Last commit message	Last commit date
.vscode		.vscode
assets		assets
docs		docs
src/hyperliquid_bot		src/hyperliquid_bot
.env.example		.env.example
.gitignore		.gitignore
.npmrc		.npmrc
CONTRIBUTING.md		CONTRIBUTING.md
GITHUB_METADATA.md		GITHUB_METADATA.md
LICENSE		LICENSE
README.md		README.md
config.yaml		config.yaml
main.py		main.py
package.json		package.json
pyproject.toml		pyproject.toml
requirements.txt		requirements.txt

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Hyperliquid Momentum Bot

Performance Dashboard

Introduction

Key Features

Performance Overview

Strategy Methodology

Design Prompt

Detailed Strategy Explanation

Mathematical Model

Signal Generation Pipeline

Execution Logic

Risk Management

Technical Architecture

Technology Stack

Project Structure

Installation

Prerequisites

Setup

Configuration

Environment Variables (.env)

Strategy Parameters (config.yaml)

Usage

API Reference

Documentation

Troubleshooting

FAQ

SEO Keywords

Developer Note

Contributing to Live Trading

Security

License

About

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Environment Variables (`.env`)

Strategy Parameters (`config.yaml`)