Useful websites links and resources for Quantitative and Crypto Traders

Here are some useful web links for quant traders:

1. Quantpedia — A comprehensive database of trading strategies, backtesting results, and research papers.
2. QuantConnect — A platform that allows you to build and test trading algorithms using Python and C#.
3. TradingView — A social network for traders with charting tools and real-time data for stocks, futures, forex, and cryptocurrencies.
4. CryptoCompare — A cryptocurrency market data provider with real-time prices, historical data, and analysis tools.
5. Coindesk — A leading news source for blockchain and cryptocurrency-related news and analysis.
6. Binance — A popular cryptocurrency exchange with a wide selection of coins and low trading fees.
7. Kraken — A cryptocurrency exchange with advanced trading features, low fees, and high liquidity.
8. Coinbase — A beginner-friendly cryptocurrency exchange with a simple user interface and a mobile app.

Here are a bunch of pip Installations if you wish to run a trading strategy on your Python models:

1. NumPy — A powerful library for numerical computing in Python.
2. Pandas — A data analysis library for Python.
3. Scikit-learn — A machine learning library for Python.
4. TA-Lib — A technical analysis library for Python that includes a wide range of indicators.
5. PyAlgoTrade — A Python library for backtesting and executing trading strategies.
6. ccxt — A cryptocurrency trading library that supports multiple exchanges and provides real-time market data.
7. backtrader — A Python framework for backtesting and trading strategies.

Python code example:

pip install numpy

With these resources, you’ll have everything you need to start exploring the world of quantitative and crypto trading.

Good luck, traders!