Exploring FXCM’s Free Trader Sentiment Data with Python and Pandas
FXCM offers premium data packages with valuable sentiment, volume and order flow data. In this article we will download a sample of the sentiment data set into a Pandas DataFrame…
FXCM offers premium data packages with valuable sentiment, volume and order flow data. In this article we will download a sample of the sentiment data set into a Pandas DataFrame…
(To download an already completed copy of the Python strategy developed in this guide, visit our GitHub.) In this article, we will code a closed-bar Bollinger band ADX range strategy…
Monte Carlo simulation is a form of backtest used to model possible movements of an asset’s price and to predict future prices. A trader can use this method to calculate…
(To download an already completed copy of the Python strategy developed in this guide, visit our GitHub.) In this article, we will code a closed-bar Simple Moving Average (SMA) crossover…
Machine learning is increasing in popularity and is a buzzword in the quantitative finance community. After all, it is a branch of artificial intelligence where algorithms and mathematical models are…
Welcome to the second part of the backtesting tutorial on a Bollinger band strategy using REST API and Python. We will be using the Jupyter notebook to do a simple…
With FXCM recently adding the BTC/USD trading pair on their retail trading platform, we thought it would be useful to show how quick and easy it is to setup a…
Welcome to this tutorial on a Bollinger Bands strategy using REST API and Python. We will be using a Jupyter notebook to do a simple backtest of a strategy that…
In this tutorial we will create an EMA strategy, backtest the strategy using an FXCM demo account, and chart the returns. We will use three open-source python libraries: fxcmpy for importing…
Algo Trading with REST API and Python Series Part 1: Preparing your Computer Part 2 : Connecting to the REST API Part 3: Using the fxcmpy Python wrapper to connect to FXCM’s…