endless-sky-team

endless-sky-team / ai-trading-agent

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llm trading bot ai agent crypto bitcoin ethereum perpetuals openrouter lighter algorithmic automated quant typescript react postgres bun fintech defi machine-learning open-source crypto-bot signals

github.comendless-sky-teamai-trading-agent ai-trading algorithmic-trading automated-trading bitcoin bun
32
0
69% credibility
Found Apr 30, 2026 at 32 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

An open-source agent that uses AI to automate trading decisions on crypto perpetuals markets via Lighter exchange, with audit logs and an optional performance dashboard.

How It Works

1
🔍 Discover the AI Trader

You find this fun project that lets an AI handle crypto trades for you automatically.

2
🛠️ Set Up Your Playground

You create a simple notebook to track all the trades and decisions safely.

3
🔗 Link Smart Brain and Wallet

You connect a clever AI thinker and your trading account so it can make moves.

4
🤖 Pick Your AI Personalities

You choose different AI styles to test how they trade various coins like SOL or ZEC.

5
🚀 Launch the Auto-Trader

With one simple start, your AI begins checking markets every few minutes and trading smartly.

6
📊 Watch the Dashboard

You open a neat screen to see live performance charts and recent decisions.

💰 Enjoy Hands-Free Gains

Your AI trader runs on autopilot, logging wins and lessons while you relax.

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Star Growth

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AI-Generated Review

What is ai-trading-agent?

This TypeScript repo builds an agentic AI trading bot for crypto perpetuals on Lighter exchange, using Bun runtime and Postgres for persistence. Every 5 minutes, it fetches candlesticks, computes EMA20/MACD signals across markets like SOL and HYPE, blends in portfolio stats and positions, then prompts an LLM via OpenRouter to decide trades. Users get a hands-off loop with tool-constrained execution (open position, close all), full audit logs, and optional React dashboard for PnL charts and recent invocations.

Why is it gaining traction?

It simplifies multi-model testing—swap Claude or Qwen via config rows, compare on identical signals without recoding. Guardrails restrict LLM to safe actions, unlike unrestricted agents, while DB telemetry enables debugging decisions. Devs grab this free ai trading agent GitHub project for quick crypto trading ai agent setups with built-in observability.

Who should use this?

LLM researchers evaluating trading prompts across models. DeFi prototyper needing ai trading agent hyperliquid-style bots for perps. Crypto traders running personal ai trading agent open source automation on low-cost VPS, tuning prompts for SOL/ZEC signals.

Verdict

Grab for experimental ai trading agent crypto bots—easy Bun/Prisma spin-up shines for llm github projects. With 32 stars and 0.7% credibility score, it's immature (no tests, audit side inversion quirk), but strong README makes it forkable for ai trading agents reddit tinkering.

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