cortex-ai-network/crypto-arbitrage-bot-automated-trading

Analysis updated 2026-06-24

★ 32PythonAudience · generalComplexity · 2/5Setup · moderate

Mindmap

mindmap
  root((Cortex-AI))
    Inputs
      Exchange API keys
      Mempool data
      Social feeds
    Outputs
      Spot trades
      Perp hedges
      Arbitrage logs
    Use Cases
      Latency arbitrage
      Funding rate arbitrage
      Mempool front running
    Tech Stack
      Python
      LangChain
      Prebuilt binary

mindmap root((Cortex-AI)) Inputs Exchange API keys Mempool data Social feeds Outputs Spot trades Perp hedges Arbitrage logs Use Cases Latency arbitrage Funding rate arbitrage Mempool front running Tech Stack Python LangChain Prebuilt binary

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What do people build with it?

USE CASE 1

Run an automated crypto arbitrage bot across Binance, Bybit, Raydium, STON.fi, and Orca

USE CASE 2

Hedge funding rate spreads between spot and perpetual contracts on the same asset

USE CASE 3

Hunt mempool opportunities on TON, Solana, Base, BSC, and Arbitrum

What is it built with?

PythonLangChainBinary

How does it compare?

	cortex-ai-network/crypto-arbitrage-bot-automated-trading	autolearnmem/automem	madguyevans-creator/resale-agent-skill-hub
Stars	32	32	32
Language	Python	Python	Python
Setup difficulty	moderate	hard	moderate
Complexity	2/5	5/5	3/5
Audience	general	researcher	vibe coder

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · moderate Time to first run · 1h+

Trading logic ships as a prebuilt binary from an external site, not from GitHub releases, so source review is not possible.

In plain English

Cortex AI is a closed source crypto trading bot distributed as a downloadable binary for Windows, Linux, and macOS. The README points users to arbitrage-bot.pro/download.php to grab the package, then to run Cortex_AI_v3.4.exe and connect exchange API keys locally. It says the keys never leave the user's machine. Despite the GitHub presence, the actual trading code is not shipped in the repository, just installation instructions and marketing copy. The bot is pitched at automated arbitrage on crypto exchanges and decentralized pools. The README lists TON, Solana, Base, BSC, and Arbitrum as supported networks, and names Binance, Bybit, Raydium, STON.fi, and Orca as venues it scans. Three trading approaches are described: latency arbitrage that tries to react to price moves before they hit public order books, funding rate arbitrage that opens opposing positions on spot and perpetual contracts, and a tracking layer the README calls Ghost Arbitrage that reads mempool data on certain chains. There is also language about local LangChain agents reading social feeds and economic calendars to adjust trading parameters around news events. The README claims sub 45ms execution loops, private RPC routing, and protection against MEV sandwich attacks via private transaction bundling. None of these claims are backed by independent benchmarks or by visible source code in the repository. System requirements listed are modest: 2 GB of RAM, 500 MB of disk, and a stable broadband connection. The product has a free download labeled v3.4 Stable plus references to a Pro plan with an Airdrop Hunter module that promises automated wallet rotation. A short developer section at the bottom shows a git clone command and a pip install line, but the meaningful logic is delivered as the pre built binary, not as readable Python in the repo. Anyone considering this should treat the claims with caution. The README is heavy on promotional language and a benchmark table comparing the bot to vague legacy Python frameworks, but the repo itself does not expose the trading logic for review, and the install path routes through an external website rather than the GitHub release page.

Copy-paste prompts

Prompt 1

Walk through the steps to download Cortex_AI_v3.4 from arbitrage-bot.pro and connect Binance API keys locally.

Prompt 2

Read the README and tell me which trading claims (sub 45ms loops, private RPC, MEV protection) have any source code behind them in this repo.

Prompt 3

Sketch what a safe sandbox setup looks like for testing a closed-source trading binary on a dedicated Linux VM.

Prompt 4

Explain the difference between latency arbitrage, funding rate arbitrage, and the Ghost Arbitrage mempool strategy described in the README.

Prompt 5

Audit the README for marketing red flags I should weigh before trusting Cortex AI with real exchange API keys.

Frequently asked questions

What is crypto-arbitrage-bot-automated-trading?

Closed source crypto arbitrage bot distributed as a downloadable Windows, Linux, and macOS binary. The GitHub repo only carries install steps and marketing copy.

What language is crypto-arbitrage-bot-automated-trading written in?

Mainly Python. The stack also includes Python, LangChain, Binary.

How hard is crypto-arbitrage-bot-automated-trading to set up?

Setup difficulty is rated moderate, with roughly 1h+ to a first successful run.

Who is crypto-arbitrage-bot-automated-trading for?

Mainly general.

Open on GitHub → Explain another repo

This repo across BitVibe Labs

Verify against the repo before relying on details.