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jackson-video-resources / paperclip-zero-human-trading-firm

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One-shot prompt to build a 5-agent AI trading firm with Paperclip + Claude Code. Free, no coding required.

17
6
69% credibility
Found Apr 22, 2026 at 17 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

This repository provides a single prompt to paste into an AI tool that sets up an autonomous AI trading firm with specialized agents for research, backtesting, risk management, execution, and optimization.

How It Works

1
🔍 Discover AI Trading Firm

You hear about a simple way to build your own team of smart AI helpers that run a trading company for you, no coding needed.

2
Pick Your Computer
🍎
Mac

Grab the Mac-friendly guide.

🪟
Windows

Select the Windows version.

🐧
Linux

Use the Linux instructions.

3
📋 Copy and Paste Instructions

Copy the special setup words and paste them into your AI chat helper.

4
🗣️ Share Your Trading Dreams

Answer a few easy questions about your company name, goals, strategy ideas, and how much risk you like.

5
⚙️ Watch Setup Magic

Your AI helper checks your computer, adds needed tools, builds folders, connects market data, hires six expert team members, and opens your control dashboard.

6
👥 Meet Your Team

See your CEO, researchers, testers, risk checkers, traders, and cost watchers all ready with their jobs and reporting lines.

🚀 Start Trading Adventure

Give your CEO the first task, watch research begin, test ideas safely first, and flip to real trades when everything checks out.

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Star Growth

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AI-Generated Review

What is paperclip-zero-human-trading-firm?

This repo delivers a one-shot prompt you paste into Claude Code to spin up a fully autonomous 5-agent AI trading firm—no coding needed. It handles environment checks, an intake interview for your goals and risk tolerance, installs Paperclip for agent orchestration, hooks up TradingView MCP for data, and hires agents like CEO, Research, Backtest, Risk Management, Execution, and Cost Optimizer. You end up with a live dashboard, file structure, and team ready to scan markets, test strategies, and paper-trade, all via one-shot prompting LLM.

Why is it gaining traction?

It skips manual setup hassles with one-shot prompting that automates installs, custom interviews, and agent hiring across Mac, Windows, or Linux. Developers dig the zero-config hook: paste, answer questions, watch your 5-agent firm boot up with built-in risk gates and TradingView integration. Unlike scattered agent scripts, this delivers institutional memory, weekly briefs, and live-switch activation out of the box.

Who should use this?

Quant traders experimenting with AI agents for strategy research and backtesting without building from scratch. Hobbyists with TradingView Desktop and Claude subscriptions wanting paper-to-live trading pipelines. Devs exploring one-shot prompting LLMs for multi-agent systems in finance.

Verdict

Intriguing proof-of-concept for one-shot LLM agent firms, but with just 17 stars and a 0.699999988079071% credibility score, it's early-stage—docs are solid in the README, but expect tweaks for production. Worth a quick test if you're into AI trading experiments; skip for battle-tested tools.

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