Algotrading

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algotrading is an algorithmic trading framework for cryptocurrencies. It allows users to build, backtest, and run trading bots in real-time or simulation modes.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is algotrading?

algotrading is an open-source algorithmic trading framework specifically designed for cryptocurrencies, written in Python. It provides a comprehensive set of tools for building and running trading bots, backtesting strategies, and assisting with trading decisions, including defining stop losses and trailing stop losses. The framework can operate with data directly from crypto exchange APIs, databases, or CSV files, supporting both data-driven and event-driven systems. It offers three operating modes: Realtime for live trading or simulation, Tick-by-tick for detailed strategy testing, and Backtest for evaluating strategies with historical data. Users can define custom entry and exit functions, plot trading data, and log performance for analysis.

Best used for

Ideal for developers who need to build custom algorithmic trading bots for cryptocurrencies, backtest their strategies with historical data, and run them in real-time or simulation modes. Especially valuable for those seeking a Python-based, open-source solution for crypto market automation.

Common actions

automate crypto trading

backtest trading strategies

develop trading bots

simulate market conditions

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Capabilities

Key features

Algorithmic trading framework
Cryptocurrency focused
Real-time trading
Backtest strategies
Tick-by-tick simulation
Custom entry/exit functions
Plot trading data

Target Audience

developer

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What data sources can algotrading use for trading and backtesting?

algotrading can work with data directly from cryptocurrency exchange APIs for real-time operations. For backtesting and tick-by-tick simulations, it can utilize pre-stored data from databases like InfluxDB or CSV files, offering flexibility in data management.

Does algotrading support real-money trading or only simulations?

The framework supports both real-money trading and simulation modes. In Realtime mode, a bot can trade real money on exchanges or simulate strategies and present results in real-time without actual financial risk. API keys are only needed for buy/sell operations.

What programming language is algotrading written in and what are its dependencies?

algotrading is written in Python. It relies on several Python libraries such as IPython, Pandas, Matplotlib, Numpy, Python-Influxdb, and Python-tk. While it can be used with Pypy, performance may not be optimal due to its Pandas and Numpy dependencies.

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