We have a large number of vendor-developed backtesting platforms available in the market which can be very efficient in backtesting automated strategies, but to decide which ones will suit your r...
With this article on ‘Python Libraries and Platforms’, we would be covering the most popular and widely used Python Trading Platforms and Python Trading Libraries for quantitative trading. We have als...
No trader can say that he/she has never faced a loss in the markets. Trading is a little bit of both of these worlds. Sometimes you win, sometimes you lose. Who doesn’t have a bad day? Let’s face it. ...
No, the successful trader is not me. I’ve gotten lucky a few times and I’m still refining and trying out strategies; on the other hand, I’m part of communities of people who trade on a daily basis to ...
In trading, a single transaction result with win or loss is not the focus of quantitative traders, so what are they most concerned about? The answer is the result of trading the system after 800 or 10...
Over the last few years we’ve looked at various tools to help us identify exploitable patterns in asset prices. In particular we have considered basic econometrics, statistical machine learning ...
Mature Python libraries such as matplotlib, pandas and scikit-learn also reduce the necessity to write boilerplate code or come up with our own implementations of well known algorithms. The Forecastin...
No matter how much time, effort, and money you put into an investment, if you don’t have a predetermined exit strategy, everything can be gone. For this reason, investment guru never invests wit...
Institutional asset managers specialize in a particular asset class, style, sector, or geography, based on their expertise or domain knowledge. This is reflected in the investment products they offer ...
In this article we are going to consider our first intraday trading strategy. It will be using a classic trading idea, that of “trading pairs”. In this instance we are going to be making u...