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Hyperliquid Order Flow Bot

🚀 Hyperliquid trading bot for automated order flow / volume profile on perpetual DEX markets

Hyperliquid Order Flow Bot Performance Dashboard — Order Flow Depth

Professional analytics dashboard: 90-day equity curve, daily PnL distribution, win rate breakdown, and detailed performance metrics table.


Introduction

The Hyperliquid Order Flow Bot is a production-grade, standalone Hyperliquid trading bot designed for automated order flow / volume profile on Hyperliquid perpetual markets. Whether you found this project searching for hyperliquid trading bot, hyperliquid bot, hyperliquid order flow, 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

  • Order Flow / Volume Profile 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 — Order Flow Depth 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 +$8,760 90-day live analytics window
Win Rate 64.3% Across 812 executed trades
Sharpe Ratio 1.87 Risk-adjusted return quality
Max Drawdown -5.6% Peak-to-trough equity decline
Profit Factor 2.08 Gross profit / gross loss
Avg Trade PnL $10.79 Mean profit per trade cycle
Best Day +$378 Peak single-session result
Risk/Reward 1:2.3 Average win vs average loss

Strategy Methodology

Design Prompt

Build an order flow bot using Hyperliquid L2 book imbalance and volume delta. Trade absorption/rejection at high-volume nodes with iceberg detection.

Detailed Strategy Explanation

L2 book imbalance is computed as (bid_volume - ask_volume) / total for top 5 levels. Volume delta from recent trades confirms absorption. Entries trigger when imbalance exceeds threshold with confirming delta.

Optimal regime: Active Hyperliquid sessions with deep L2 book data.

Mathematical Model

L2 book imbalance (top $L$ levels):

$$ \mathcal{I} = \frac{\sum_{i=1}^{L} V_{\text{bid},i} - \sum_{i=1}^{L} V_{\text{ask},i}} {\sum_{i=1}^{L} V_{\text{bid},i} + \sum_{i=1}^{L} V_{\text{ask},i}} $$

Volume delta confirmation:

$$ \Delta V = V_{\text{buy_taker}} - V_{\text{sell_taker}} $$

Signal conditions:

  • Long when $\mathcal{I} > \theta$ and $\Delta V > 0$ (bid absorption)
  • Short when $\mathcal{I} < -\theta$ and $\Delta V < 0$ (ask absorption)

Signal Generation Pipeline

  1. Data Ingestion — Hyperliquid WebSocket and REST API provide real-time L2 book, mid-price, candles, and funding data
  2. Feature Computation — Strategy-specific indicators computed on each tick (interval configurable in config.yaml)
  3. Signal Evaluationon_tick() returns action (long, short, flat, hold) with confidence score and reason string
  4. Order Constructionbuild_orders() translates signals into OrderIntent objects with post-only, reduce-only flags as needed
  5. Risk GateRiskManager validates against position caps, daily loss, leverage limits before submission
  6. 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 (Order Flow / Volume Profile)                │
│         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-order-flow-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                      # Order Flow / Volume Profile 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-order-flow-bot.git
cd hyperliquid-order-flow-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.

More questions: docs/faq.md


SEO Keywords

hyperliquid order flow, volume profile, footprint trading, 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 order flow / volume profile 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

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