Arbitrage bot is a high-frequency arbitrage trading system that automatically identifies and executes profitable triangular arbitrage opportunities on cryptocurrency exchanges.
Full documentation of the project can be found here.
List of supported cryptocurrency exchanges.
| Exchange | Status |
|---|---|
| Binance | ✓ |
| Kucoin | ✓ |
Open-source projects thrive because of visionaries like you. If this code has sparked a flame of inspiration in your heart, share the spark! Your crypto support is the fuel for new features, bug fixes, and groundbreaking updates. We accept donations in BTC, ETH, and USDT – simple, swift, and borderless.
| Crypto | Address | QR Code |
|---|---|---|
| Bitcoin (BTC) | bc1qw0sz039alzpmk2qcg549pwv3vd0e6casj5dstp |
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| Ethereum (ETH) | 0x00875cdA702B0e6fba3AdeaA6bEB585Db3a7f0f1 |
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| Tether (USDT) | 0x00875cdA702B0e6fba3AdeaA6bEB585Db3a7f0f1 (ERC-20) |
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Every satoshi, every ether – it's a step toward something greater. Thank you for believing in openness! 🌍✨
Become a Star: A GitHub star is free, but it means the world. ⭐
Application is written in Rust, so you'll need to grab a Rust installation in order to compile it. Application compiles with Rust 1.90.0 (stable) or newer.
git clone https://github.com/mkbeh/arb-bot-rs.git
cd arb-bot-rs
cargo build --releaseFill in the example config file and rename the
file to config.toml.
For demo run you do not need to specify your API tokens. You only need to specify API tokens if you toggle the flag
send_orders = true in config.toml.
Run app:
target/release/bot 2>&1 | tee debug_$(date "+%Y.%m.%d-%H.%M.%S").logBuild image:
docker build --build-arg SERVICE_NAME=bot --build-arg BUILD_PROFILE=release -t arb-bot-rs:latest .Run app:
docker run --cpus="1" --cpuset-cpus="0" --memory="512m" arb-bot-rs:latest
The bot's core performance is monitored in real-time using a Grafana dashboard, providing deep insights into market data processing and arbitrage efficiency.
| Metric | Description |
|---|---|
| 📈 Market Data Intensity | |
| - Total rate of order book update events from exchanges | 🔄 Rate of updates received from various exchanges. |
| - The most active trading pairs by update frequency | 💱 Top pairs with the highest volume of order book changes. |
| ⚡ Arbitrage Engine Performance | |
| - How many potential arbitrage chains the engine analyzes per second | ⏱️ Chains processed per second for opportunity detection. |
| - The most frequently processed and profitable currency chains | 💰 Top chains by frequency and average profitability. |
| 🎯 Trading Strategy Effectiveness | |
| - The percentage of profitable chains found versus all chains processed | 📊 Success rate of profitable detections (%). |
| - The absolute count of profitable opportunities identified | ✅ Total number of viable arbitrage opportunities found. |
| 🛠️ Order Execution Status | |
| - A real-time log of the most recent order execution attempts (success, failure, cancelled) | 📝 Latest executions with status and timestamps. |
The dashboard provides a live look at the bot's decision-making process and market impact.
Live dashboard showing market data throughput, arbitrage processing rates, and trading performance.
Application is relatively well-tested, including both unit tests and integration tests. To run the full test suite, use:
cargo test --allThe following is a list of known translations of application documentation.
This project is open source and distributed under the MIT license. You are free to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the project, subject to the conditions of retaining the copyright notice.
Full details in the LICENSE file.
"Code is poetry. Share it generously!" — inspired by Richard Stallman (with a twist 😉)