16 best Python Binance libraries in 2024

Build wallets, mine coins, integrate with crypto exchanges, automated trading bots, and more using Python Binance libraries. 

Users can trade cryptocurrencies on Binance, which is an online exchange. It supports all of the most widely used cryptocurrencies. Binance provides a cryptocurrency wallet for users to keep their digital currency. Binance Coin (BNB) is a blockchain-based cryptocurrency. 

You can connect to the Binance servers using the Python programming language by using the Python-Binance application programming interface. You can place orders, trade, withdraw funds, and access real-time data from the Binance exchange via the API. You can connect to the Binance servers using Python or many other programming languages by using the Binance API. You can use it to automate your trading. In more detail, Binance features a RESTful API that sends and receives data via HTTP queries. Additionally, a WebSocket is accessible for streaming data, including price quotes and account changes. 

Many Python libraries are available for the Binance API; the most popular option is Python-Binance. Check out the below list to find the best Python Binance libraries for your application: 

binance-trade-bot:  

• Supports multiple trading strategies, including backtesting and live trading.  
• Includes a variety of technical indicators and risk management tools.  
• Provides a user-friendly interface for managing orders and positions.  

python-binance:  

• Supports all Binance APIs, including spot, margin, and futures.  
• Provides a high-performance WebSocket API for real-time data streaming.  
• Includes libraries and tools for building custom trading bots and applications.  

Binance-volatility-trading-bot:  

• Automatically trades cryptocurrency pairs based on their volatility.  
• Supports multiple trading strategies, including mean reversion and breakout trading.  
• Provides a variety of settings and parameters for customizing the trading bot. 

binance-trader:  

• Provides a simple and easy-to-use interface for managing trades on Binance.  
• Support trading orders, including market orders, stop orders, and limit orders.  
• Includes a variety of technical indicators and risk management tools.

Binance-News-Sentiment-Bot:  

• Tracks and analyzes cryptocurrency news and social media sentiment.  
• Provides insights into market sentiment and potential trading opportunities.  
• Helps to automate trading decisions based on news and sentiment analysis.  

binance-tutorials:  

• Provides tutorials and resources for learning how to use Binance and Python programming.  
• Covers topics such as trading, technical analysis, and bot development.  
• Includes a variety of code examples and sample projects.  

unicorn-binance-websocket-api:  

• A high-performance WebSocket API for streaming real-time data from Binance.  
• Supports all Binance markets, including spot, margin, and futures.  
• Provides a variety of features for managing data streams and handling events.  

BTB-manager-telegram:  

• A Telegram bot for managing Binance trading bots.  
• Allows users to start, stop, and monitor their trading bots from Telegram.  
• Provides real-time notifications about trading activity and account status.  

crypto-bot:  

• A comprehensive Python library for building cryptocurrency trading bots.  
• Supports all Binance markets, as well as other exchanges and wallets.  
• Provides a variety of features for backtesting, live trading, and risk management.  

backtrader-binance-bot:  

• A backtesting framework for Binance trading bots.  
• Supports a variety of trading strategies and technical indicators.  
• Provides a variety of tools for analyzing trading performance and optimizing strategies.  

python-binance-chain:  

• A Python library for interacting with the Binance Smart Chain (BSC).  
• Supports all BSC APIs, including transactions, accounts, and contracts.  
• Provides a variety of features for building and deploying BSC applications.  

deltabot:  

• A cryptocurrency arbitrage trading bot.  
• Supports multiple exchanges, including Binance.  
• Automatically scans for arbitrage opportunities and executes trades.  

bscscan-python:  

• A Python library for interacting with the BscScan API.  
• Provides access to a variety of data about BSC transactions, accounts, and contracts.  
• Helps to build custom blockchain applications and tools.  

PumpBot:  

• A cryptocurrency pump and dump bot.  
• Allows users to create and participate in pump and dump schemes.  
• Provides a variety of features for managing pump groups and executing trades.  

Simple-Binance-Trader:  

• A simple and easy-to-use Python library for trading on Binance.  
• Supports trading orders, including market orders, stop orders, and limit orders.  
• Provides a variety of technical indicators and risk management tools.  

binance-bot:  

• A comprehensive Python library for building cryptocurrency trading bots.  
• Supports all Binance markets, as well as other exchanges and wallets.  
• Provides a variety of features for backtesting, live trading, and risk management.  

FAQ  

1. What kind of trading strategies can I test using crypto-bot?  

Crypto-bot supports a wide variety of trading strategies. These include mean reversion, breakout, trend following, arbitrage, and market making. Crypto-bot also supports custom trading strategies, which you can implement using Python code.  

2. How does Binance-News-Sentiment-Bot categorize the output by coin?   

The Binance-News-Sentiment-Bot categorizes its output by coin. It assigns a sentiment score to each coin. It calculates the sentiment score by analyzing news and social media data for each coin. The higher the sentiment score, the more positive the market sentiment is for that coin.  

The Binance-News-Sentiment-Bot also provides a sentiment trend for each coin. This shows how the sentiment for that coin has changed over time.  

3. What kind of streams does unicorn-binance-websocket-api support?  

The unicorn-binance-websocket-api supports market data streams, account data streams, and user data streams. The unicorn-binance-websocket-api also supports custom streams, which you can create using Python code.  

4. How do backtrader-binance-bot backtest strategies on historical data?     

The backtrader-binance-bot backtests strategies on historical data by simulating the trading environment. It does this by loading historical data for the desired coin. It then executes the trading strategy on the data. The backtrader-binance-bot then reports on the performance of the trading strategy. This includes metrics such as profit and loss, win rate, and drawdown.  

5. How does crypto-bot handle stop loss?     

Crypto-bot handles stop loss by placing a stop loss order on each trade. A stop loss order is an order to sell an asset at a certain price in order to limit losses.  

Crypto-bot provides a number of different ways to set stop loss orders. For example, you can set a stop loss order at a certain percentage below the entry price or at a certain price level. Crypto-bot also allows you to trail your stop loss orders. This means that the stop loss order will be automatically moved up as the asset price moves up. This can help to lock in profits and reduce losses.