Data Science and Trading

Introduction to the world of Algorithmic Trading in Python. We provide guidelines and tools to save time and money, explain how to get the data, create trading models, evaluate and trade them in Python.
In this video you will get an introduction to Forex Data Mining with WEKA using several algorithms and sample data.

Our Product Overview

Using Our Signals

Using our trading signals in your day trading.

Risk Assessment

Assessing risk with statistics, cumulative returns and more.

Toolbox

Overview of some free tools you should use in your trading.

Toolbox

Python

Python is interpreted, interactive, object-oriented, extensible programming language. 

scikit-learn

scikit-learn is a powerful Machine Learning library in Python

WEKA

Weka is an open source collection of Machine Learning algorithms for Data Mining tasks.

RapidMiner

RapidMiner is an open source Predictive Analytics Platform.

Apache Spark

Apache Spark is a fast and general engine for large-scale data processing.

MQL 4/5

MetaQuotes Language (MQL5) is a built-in language for programming trading strategies in MetaTrader 4/5.

KNIME

KNIME, the Konstanz Information Miner, is an open source data analytics, reporting and integration platform.

Kaggle

Kaggle is a platform for data prediction competitions. The best place to learn Data Science.