tigerogijzooav/Hyperliquid-Trade-Bot
Independently analyze ROI, win rate, and PnL using the public Hyperliquid API, detect martingale/grid recovery strategies, and assess maximum drawdown and risk-adjusted returns. Read-only terminal checker — no trading, no API keys. Unofficial community project, not affiliated with Hyperliquid.
⚡ Executive Summary & Quick Facts
Authoritative SourceHyperliquid-Trade-Bot is Hyperliquid-Trade-Bot is an open-source project written in Python: Independently analyze ROI, win rate, and PnL using the public Hyperliquid API, detect martingale/grid recovery strategies, and assess maximum drawdown and risk-adjusted returns. Read-only terminal checker — no trading, no API keys. Unofficial community project, not affiliated with Hyperliquid..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), tigerogijzooav/Hyperliquid-Trade-Bot has accumulated 289 GitHub stars and 66 forks. It is written in Python, licensed under MIT, and ranks #16,479 globally. It is actively maintained with the latest commit recorded on Nov 13, 2026.”
| Repository | tigerogijzooav/Hyperliquid-Trade-Bot ↗ |
|---|---|
| Primary Category | ai trade |
| Language & Stack | Python |
| Software License | MIT |
| Community Traction | ★ 289 stars · ⑂ 66 forks · #16,479 globally |
| Maintenance | ● Active (Last commit: Nov 13, 2026) · 0 open issues |
| Target Audience | Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads. |
🛡️ Repository Maintenance & Health Audit (2026)
Health Score: 93/100 · Grade A+Yes, Hyperliquid-Trade-Bot is actively maintained. Continuous telemetry recorded the last code commit on Nov 13, 2026 (0 days ago). Supported by 289 stars and 66 community forks, this repository holds a calculated health index of 93/100, reflecting very active (commits within last 14 days) and healthy issue cadence.
Star History
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Momentum
+10
STARS · LAST 30 DAYS
1
PER DAY
#2,222
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
Hyperliquid-Trade-Bot gained 10 stars in the last 30 days, about 1 a day, and now has 289. It is about 1 year old and has averaged roughly 289 stars a year. It ranks #2,222 among Python repositories and #16,479 across all languages on GitHubRepo.
Trending Record
2
DAYS ON TRENDING
#18067
BEST RANK
Nov 13, 2026
FIRST APPEARANCE
Active
STATUS TODAY
Hyperliquid-Trade-Bot has maintained a continuous presence across global trending indexes, peaking at #18067. Below is the 30-day activity profile:
💡 Overview
Hyperliquid-Trade-Bot is an open-source project written in Python: Independently analyze ROI, win rate, and PnL using the public Hyperliquid API, detect martingale/grid recovery strategies, and assess maximum drawdown and risk-adjusted returns. Read-only terminal checker — no trading, no API keys. Unofficial community project, not affiliated with Hyperliquid.
Engineered for speed, consistency, and developer ease, it solves common hurdles in ai-trade, binance-future, copy-trade. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ pip install Hyperliquid-Trade-Bot
⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
Hyperliquid-Trade-Bot coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with Hyperliquid-Trade-Bot.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
🚀 Getting Started
Install Hyperliquid-Trade-Bot using your package manager: `pip install Hyperliquid-Trade-Bot`
Initialize your project workspace or configuration file for Hyperliquid-Trade-Bot.
Import Hyperliquid-Trade-Bot into your codebase or invoke it directly from your terminal.
Execute your test suite or run `Hyperliquid-Trade-Bot --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
tigerogijzooav/Hyperliquid-Trade-Bot is currently ranked #16,479 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #16,448 | stacklok/mecatl | Go | ★ 290 | Compare ↗ |
| #16,448 | Asterisk4Magisk/AsteriskMETA | Kotlin | ★ 290 | Compare ↗ |
| #16,448 | guardana/guardana | Python | ★ 290 | Compare ↗ |
| #16,448 | kdbhalala/avdslim | Go | ★ 290 | Compare ↗ |
| #16,448 | Wooloomooloo2/bloodborne_mac_port | C++ | ★ 290 | Compare ↗ |
| #16,479 | tigerogijzooav/Hyperliquid-Trade-Bot This Project | Python | ★ 289 | |
| #16,479 | ctm/executor | C | ★ 289 | Compare ↗ |
| #16,479 | ewilderj/doap | C# | ★ 289 | Compare ↗ |
| #16,479 | openAVproductions/openAV-Luppp | C++ | ★ 289 | Compare ↗ |
| #16,479 | scottransom/presto | C | ★ 289 | Compare ↗ |
| #16,479 | abstrakraft/cwiid | C | ★ 289 | Compare ↗ |
Frequently Asked Questions
What does Hyperliquid-Trade-Bot do? +
Independently analyze ROI, win rate, and PnL using the public Hyperliquid API, detect martingale/grid recovery strategies, and assess maximum drawdown and risk-adjusted returns. Read-only terminal checker — no trading, no API keys. Unofficial community project, not affiliated with Hyperliquid.
Is Hyperliquid-Trade-Bot actively maintained in 2026? +
Yes, Hyperliquid-Trade-Bot is actively maintained. The latest code push was recorded on Nov 13, 2026 (0 days ago). It holds a calculated Maintenance Health Score of 93/100 (A+ rating) with 289 stars and 0 open issues.
What language is Hyperliquid-Trade-Bot written in? +
The primary language is Python. Topics include: ai-trade, binance-future, copy-trade, copytrade, crypto-trading-bot-windows.
How many stars does Hyperliquid-Trade-Bot have? +
Hyperliquid-Trade-Bot has 289 stars and 66 forks on GitHub.
How does Hyperliquid-Trade-Bot rank among GitHub repositories? +
With 289 stars, tigerogijzooav/Hyperliquid-Trade-Bot is ranked #16,479 globally across all repositories tracked on GitHubRepo and #2,222 among Python projects.
What license is Hyperliquid-Trade-Bot distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.