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IBPy Tutorial To Implement Python In Interactive Brokers API

Tutorial to use IBPy for implementing Python in Interactive Brokers API. Automate trading on IB TWS for quants and Python coders....
9 min read

Implement Algo Trading Strategies In Live Markets

Download webinar presentation Webinar Date and Time Wednesday, September 28, 2016 7:30 PM...
2 min read

Backtesting Long Short Moving Average Crossover Strategy in Excel

Learn how to build the “Hello World” of trading strategies: the “Long Short Moving Average Crossover Strategy”....
7 min read

Importing CSV Data in Zipline for Backtesting

Learn importing and backtesting on Zipline using data from Google and OHLC data in CSV format. Calculate backtesting results such as PnL, number of trades, etc...
7 min read

Shorting At High: Algo Trading Strategy In R [EPAT PROJECT]

“Shorting at High” was one of the strategies that I formulated for my project work. This post explains the strategy in brief and the coding part....
9 min read

SEBI Releases Discussion Paper On Algorithmic Trading And Co-Location

The study quotes the available literature that indicates pros and cons of Algorithmic Trading....
1 min read

How To Gain A Real-Time Trading Edge With Order Flow Sequence Analysis

Date: Tuesday, August 9, 2016 Time: 12:00 PM EST | 9:00 AM...
2 min read

Pair Trading Strategy And Backtesting Using Quantstrat | EPAT Project Webinar

This project explains Pair Trading Strategy and Backtesting using Quantstrat library and is submitted by Marco Nicolas Dibo as a part of EPAT at QuantInsti...
11 min read

Zipline Python: Benefits, Installation, Structure and More

Zipline Python library is used for trading applications. This blog talks about how to install zipline python, its benefits, and using it to code the moving crossover strategy for financial trade....
7 min read

Candid Conversations with an Algo Trader (Part 2)

Learn how to get into the automated trading by talking to a professional Algo Trader. Concepts of market inefficiencies, back testing explained....
6 min read