If you’re interested in quantitative trading strategies, you’ll need tools to help you analyze large amounts of data to find patterns in the financial markets. These patterns will help you make predictions about which stocks or assets might increase or decrease in value. Software programs will then execute your trades based on these predictions.
Here are a couple of our favourite software platforms for backtesting trading strategies and setting up quant trading:
QuantRocket - QuantRocket is a Python-based platform for developing automated quantitative trading strategies. It provides data collection tools, a research environment, multiple backtesters, and live and paper trading through Interactive Brokers (IB).
OpenBB - OpenBB facilitates forecasting and more with built-in Python notebooks.
Quantitative hedge funds have some of the best investing and trading track records out there. If you’re interested in testing out your quant strategy, you’ll need the right tools to make it happen. Is there a quant trading tool you love? DM us your favourite!
Find a list of financial APIs here and cost-effective Bloomberg alternatives here.