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Markfans / cryptoquant-ai

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CryptoQuant AI is an advanced, open-source quantitative trading platform designed to bridge the gap between algorithmic market execution and artificial intelligence. Built entirely on a modern Node.js, Vite, and TypeScript stack, this project provides a robust, highly responsive frontend dashboard paired with powerful automation capabilities.

algorithmic-trading-dotnet crypto okx quant trading-bot-bsc-solana
11
5
100% credibility
Found May 02, 2026 at 10 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

CryptoQuant AI is a local dashboard for cryptocurrency trading research, backtesting, monitoring, portfolio analysis, and optional automated execution on OKX.

How It Works

1
🔍 Discover CryptoQuant AI

You find this free tool on GitHub that helps everyday people analyze crypto markets, test trading ideas, and monitor opportunities safely at home.

2
💻 Launch on your computer

Download and start the dashboard with simple steps—no tech skills needed, it runs locally on your machine like any app.

3
🔑 Connect your trading account

Link your OKX account securely (start with demo mode to practice risk-free), so it can fetch real market data and balances.

4
⚙️ Pick coins and strategies

Choose popular coins like BTC or ETH, set timeframes like 15 minutes or 1 hour, and select smart strategies like trend following.

5
📊 Test ideas with backtests

Run simulations on past data to see how strategies perform, get detailed reports on wins, losses, and risks before going live.

6
📈 Watch live dashboard

See real-time charts, alerts, portfolio stats, and diagnostics—everything updates automatically as markets move.

✅ Trade smarter with confidence

You now have clear insights, automated monitoring, full audit trails, and safe controls to make better crypto decisions on your terms.

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Star Growth

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AI-Generated Review

What is cryptoquant-ai?

CryptoQuant AI is an open-source dashboard built entirely on Node.js, Vite, and TypeScript that bridges the gap between algorithmic market execution and artificial intelligence for cryptocurrency trading. It delivers a local-first quantitative platform with advanced automation capabilities, including OKX market data feeds, shadow trading, walk-forward backtesting, portfolio analytics, and AI-assisted summaries via Zhipu GLM. Users get a responsive frontend dashboard for research, monitoring, diagnostics, and optional live/demo trading on OKX, all persisted in local SQLite.

Why is it gaining traction?

It stands out by combining cryptoquant ai signals with regime-based strategies like trend breakout and mean reversion, plus macro risk gating and execution diagnostics in one dashboard. Developers appreciate the seamless OKX integration for demo/live modes, encrypted credential storage, and embedded panels for backtests and returns without external tools. The local-first design ensures privacy and offline persistence, making algorithmic automation accessible without cloud dependencies.

Who should use this?

Quant traders automating OKX strategies who need a unified dashboard for backtesting, signal monitoring, and risk audits. Crypto developers evaluating cryptoquant ai signals before live execution, especially those handling BTC/ETH/SOL/DOGE on 15m/1h timeframes. Personal ops teams wanting shadow trading and AI summaries without building from scratch.

Verdict

Worth forking for personal OKX quant setups—solid TypeScript stack, tests, and docs—but at 10 stars and 1.0% credibility, it's early-stage; start with demo mode and expect tweaks. Strong foundation for advanced users bridging frontend dashboard and backend execution.

(198 words)

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