Libraries are an essential part of Python that makes programming faster and easier for developers. These two qualities are especially relevant in Algorithmic Trading. That’s why, in this article, we will explore some of the best algorithmic trading libraries in Python, including those to download data, manipulate data, perform technical analysis, and backtest trading strategies….
Quant strategists employ different tools and systems in their algorithms to improve performance and reduce risk. One is the Monte Carlo simulation, which is quite powerful regarding option pricing or risk management problems. A Monte Carlo simulation represents the likelihood of various outcomes in a process that is challenging to predict due to the involvement…
As a trader, you don’t want to do the hard work of monitoring the screen all the time and analyzing price movements looking for trade setups. This manual way of trading can be extremely hard and even prone to mistakes based on emotional and psychological biases. Moreover, there is a limit to how much data…
