Crypto-currency tradebot

A serverless crypto trading bot that uses technical analysis to generate buy/sell signals and exectute trades on the Lykke echange

HINT: Lykke went out of business early 2025, the repository is onyl for demonstrational purpose

DISCLAIMER: Crypto markets are highly volatile, and using trade bot can cause total loss. Use at your own risk

Overview

The trade bot is built as a set of AWS Lambda functions that interact with the Lykke Exchange API to:

1. Ingest cryptocurrency price data from Lykke Exchange
2. Apply technical analysis algorithms (MACD, RSI) to generate buy/sell signals
3. Execute trades on the exchange based on signals

Architecture

The system consists of three main components:

1. Ticker Ingestor

• Fetches current price data from Lykke Exchange
• Stores data in MongoDB
• Calculates technical indicators (MACD, RSI)
• Generates buy/sell signals based on indicator thresholds
• Notifies the order executor via SNS when a trading opportunity is identified

2. Order Executor

• Listens for buy/sell signals from the ticker ingestor
• Checks account balances on the Lykke Exchange
• Executes market orders when there's sufficient balance
• Can operate in simulation mode for testing without placing real orders

3. Portfolio Management

• Displays transaction history
• Monitors account balances

Technologies Used

• Python 3.11+
• AWS Lambda for serverless computing
• MongoDB Atlas for price data storage
• Amazon SNS for notifications between components
• gRPC for Lykke Exchange API communication
• Protobuf for data serialization

Trading Strategies

The bot currently supports three trading strategies:

1. MACD Strategy: Generates buy signals on bullish crossovers and sell signals on bearish crossovers
2. RSI Strategy: Generates buy signals when RSI is oversold (<30) and sell signals when RSI is overbought (>70)
3. MACD-RSI Combined Strategy: Generates signals only when both indicators agree (e.g., buy when MACD shows bullish crossover AND RSI is oversold)

Setup and Configuration

Prerequisites

• Python 3.11+
• MongoDB DB (eg. through MongoDB Atlas)
• Lykke Exchange API token
• AWS account with Lambda, SNS permissions

Environment Variables

The following environment variables must be set:

LYKKE_HFT_TOKEN=your_lykke_api_token
MONGO_HOST=your_mongodb_host
MONGO_CREDENTIALS=your_mongodb_credentials
TRADES_SIMULATED=true/false
ORDER_SNS_TOPIC=your_sns_topic_arn

Installation

1. Clone the repository
2. Install dependencies: pip install -r requirements.txt
3. Deploy lambda functions to your AWS environment