BacktestingMachine learningNeural networksQuant tradingRZorro
Neural Network Trading: A Getting Started Guide for Algo Trading
This article is adapted from one of the units of Advanced Algorithmic Trading. If you like what you see, check
Neural Network Trading: A Getting Started Guide for Algo Trading
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BacktestingQuant tradingTools of the tradeTrading infrastructureZorro
We Love Free Data: Replacing Yahoo Finance Market Data
In keeping with our recent theme of providing useful tidbits of algo trading practicalities, here’s an elegant solution that resolves
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Quant tradingRTrading infrastructureZorro
How to Run Trading Algorithms on Google Cloud Platform in 6 Easy Steps
Earlier this year, I attended the Google Next conference in San Francisco and gained some first-hand perspective into what’s possible
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Quant tradingRTools of the trade
Solved: Errors Downloading Stock Price Data from Yahoo Finance
Recently, Yahoo Finance – a popular source of free end-of-day price data – made some changes to their server which
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BacktestingQuant tradingRThink like a traderTrading booksTrading strategies
Dual Momentum Investing: A Quant’s Review
I recently read Gary Antonacci’s book Dual Momentum Investing: An Innovative Strategy for Higher Returns with Lower Risk, and it was
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BacktestingQuant tradingThink like a traderTools of the trade
Back to Basics Part 3: Backtesting in Algorithmic Trading
This is the final post in our 3-part Back to Basics series. You may be interested in checking out the
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Quant tradingThink like a trader
Back to Basics Part 2 – Succesful Algorithmic Trading
This is the second post in our 3-part Back to Basics series on successful algorithmic trading. You may be interested
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Quant tradingThink like a trader
Intro to Algorithmic Trading – An Algorithmic Trading System
This is the first post in our 3-part Back to Basics series which serve as an introduction to algorithmic trading.
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Quant trading
Demystifying the Hurst Exponent – Part 2
What if you had a tool that could help you decide when to apply mean reversion strategies and when to
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Quant trading
Hurst Exponent for Algorithmic Trading
This is the first post in a two-part series about the Hurst Exponent. Tom and I worked on this series
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BacktestingQuant trading
How to Create a Trading Algorithm: So You Want to Build Your Own Algo Trading System?
This post comes to you from Dr Tom Starke, a good friend of Robot Wealth. Tom is a physicist, quant
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FXMachine learningQuant tradingR
Optimal Data Windows for Training a Machine Learning Model for Financial Prediction
It would be great if machine learning were as simple as just feeding data to an out-of-the box implementation of