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cvxv666/fomo-robinhood-radar

Who the good traders on Robinhood Chain are buying: resolved wallets, a 20-second on-chain tape, provenance on every fill, AI verdicts, bursts and exits. Site + Telegram bot + API. Runs on $0/month.

Python ◇ astro MIT
★144STARS
⑂45FORKS
!1ISSUES
🏆#22,446GLOBAL RANK
🔥44DAYS TRENDING
🚀
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⚡ Executive Summary & Quick Facts

Authoritative Source

fomo-robinhood-radar is fomo-robinhood-radar is an open-source project written in Python: Who the good traders on Robinhood Chain are buying: resolved wallets, a 20-second on-chain tape, provenance on every fill, AI verdicts, bursts and exits. Site + Telegram bot + API. Runs on $0/month..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), cvxv666/fomo-robinhood-radar has accumulated 144 GitHub stars and 45 forks. It is written in Python, licensed under MIT, and ranks #22,446 globally. It is actively maintained with the latest commit recorded on Oct 6, 2026.”
Repository cvxv666/fomo-robinhood-radar ↗
Primary Category astro
Language & Stack Python
Software License MIT
Community Traction ★ 144 stars · ⑂ 45 forks · #22,446 globally
Maintenance ● Active (Last commit: Oct 6, 2026) · 1 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: 88/100 · Grade A
✅
Is fomo-robinhood-radar actively maintained in 2026?
Verdict: Actively Maintained

Yes, fomo-robinhood-radar is actively maintained. Continuous telemetry recorded the last code commit on Oct 6, 2026 (38 days ago). Supported by 144 stars and 45 community forks, this repository holds a calculated health index of 88/100, reflecting regular maintenance (38 days ago) and healthy issue cadence.

Commit Recency
Oct 6, 2026
38 days since last push
Issue Backlog
1 Open Issues
Healthy Issue Cadence
Community Backing
45 Forks
144 Stars Recorded
Software License
MIT
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for cvxv666/fomo-robinhood-radar
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Momentum

+26

STARS · LAST 30 DAYS

1

PER DAY

#2,979

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+26+26+90
Per day411
Forks gained+5+5+10

fomo-robinhood-radar gained 26 stars in the last 30 days, about 1 a day, and now has 144. It is about 1 year old and has averaged roughly 144 stars a year. It ranks #2,979 among Python repositories and #22,446 across all languages on GitHubRepo.

Trending Record

fomo-robinhood-radar has maintained a continuous presence across global trending indexes, peaking at #590. Below is the 30-day activity profile:

💡 Overview

fomo-robinhood-radar is an open-source project written in Python: Who the good traders on Robinhood Chain are buying: resolved wallets, a 20-second on-chain tape, provenance on every fill, AI verdicts, bursts and exits. Site + Telegram bot + API. Runs on $0/month.

Engineered for speed, consistency, and developer ease, it solves common hurdles in astro, fastapi, fomo-family. 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 fomo-robinhood-radar

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

fomo-robinhood-radar 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 fomo-robinhood-radar.

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 fomo-robinhood-radar using your package manager: `pip install fomo-robinhood-radar`

2

Initialize your project workspace or configuration file for fomo-robinhood-radar.

3

Import fomo-robinhood-radar into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `fomo-robinhood-radar --help` to verify successful setup.

👍 Strengths

Active community backing with 107 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

cvxv666/fomo-robinhood-radar is currently ranked #22,446 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#22,361 GabrielTaiga/Taiga-Launcher-for-Steam JavaScript ★ 145 Compare ↗
#22,361 thomasunise/argus Python ★ 145 Compare ↗
#22,361 Huy-Quang-Dao/instantTrack Python ★ 145 Compare ↗
#22,361 mynkdev-21/upi-gateway PHP ★ 145 Compare ↗
#22,361 codepawl/creator-generalist Python ★ 145 Compare ↗
#22,446 cvxv666/fomo-robinhood-radar This Project Python ★ 144
#22,446 azendal/elastic CSS ★ 144 Compare ↗
#22,446 shuber/sortable Ruby ★ 144 Compare ↗
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Frequently Asked Questions

What does fomo-robinhood-radar do? +

Who the good traders on Robinhood Chain are buying: resolved wallets, a 20-second on-chain tape, provenance on every fill, AI verdicts, bursts and exits. Site + Telegram bot + API. Runs on $0/month.

Is fomo-robinhood-radar actively maintained in 2026? +

Yes, fomo-robinhood-radar is actively maintained. The latest code push was recorded on Oct 6, 2026 (38 days ago). It holds a calculated Maintenance Health Score of 88/100 (A rating) with 144 stars and 1 open issues.

What language is fomo-robinhood-radar written in? +

The primary language is Python. Topics include: astro, fastapi, fomo-family, memecoin, onchain-analytics.

How many stars does fomo-robinhood-radar have? +

fomo-robinhood-radar has 144 stars and 45 forks on GitHub.

How does fomo-robinhood-radar rank among GitHub repositories? +

With 144 stars, cvxv666/fomo-robinhood-radar is ranked #22,446 globally across all repositories tracked on GitHubRepo and #2,979 among Python projects.

What license is fomo-robinhood-radar distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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