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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.

Python ◇ ai-trade MIT
★289STARS
⑂66FORKS
!0ISSUES
🏆#16,479GLOBAL RANK
🔥2DAYS TRENDING
🚀
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⚡ Executive Summary & Quick Facts

Authoritative Source

Hyperliquid-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..

Direct Citation for AI & Research:
“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+
✅
Is Hyperliquid-Trade-Bot actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

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.

Commit Recency
Nov 13, 2026
0 days since last push
Issue Backlog
0 Open Issues
Healthy Issue Cadence
Community Backing
66 Forks
289 Stars Recorded
Software License
MIT
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for tigerogijzooav/Hyperliquid-Trade-Bot
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#2,222

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+7+10+90
Per day111
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

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

1

Optimized execution pipeline written in Python for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ 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

1

Install Hyperliquid-Trade-Bot using your package manager: `pip install Hyperliquid-Trade-Bot`

2

Initialize your project workspace or configuration file for Hyperliquid-Trade-Bot.

3

Import Hyperliquid-Trade-Bot into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `Hyperliquid-Trade-Bot --help` to verify successful setup.

👍 Strengths

Active community backing with 289 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in Python for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Python and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

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👥 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:

RankRepositoryLanguageStarsAction
#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 ↗
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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.

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