Fun with the Cryptocompare API

Cryptocompare is a platform providing data and insights on pretty much everything in the crypto-sphere, from market data for cryptocurrencies to comparisons of the various crytpo-exchanges, to recommendations for where to spend your crypto assets. The user-experience is quite pleasant, as you can see from the screenshot of their real-time coin comparison table: As nice …

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ETF Rotation Strategies in Zorro

At Robot Wealth we get more questions than even the most sleep-deprived trader can handle. So whilst we develop the algo equivalent of Siri and brag about how we managed to get 6 hours downtime last night, we thought we’d start a new format of blog posts — answering your most burning questions. Lately our …

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Deep Learning for Trading Part 4: Fighting Overfitting with Dropout and Regularization

Deep Learning for Trading Part 4: Fighting Overfitting is the fourth in a multi-part series in which we explore and compare various deep learning tools and techniques for market forecasting using Keras and TensorFlow. In Deep Learning for Trading Part 1, we introduced Keras and discussed some of the major obstacles to using deep learning techniques …

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Deep Learning for Trading Part 3: Feed Forward Networks

This is the third in a multi-part series in which we explore and compare various deep learning tools and techniques for market forecasting using Keras and TensorFlow. In Part 1, we introduced Keras and discussed some of the major obstacles to using deep learning techniques in trading systems, including a warning about attempting to extract meaningful signals …

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Deep Learning for Trading Part 2: Configuring TensorFlow and Keras to run on GPU

This is the second in a multi-part series in which we explore and compare various deep learning tools and techniques for market forecasting using Keras and TensorFlow. In Part 1, we introduced Keras and discussed some of the major obstacles to using deep learning techniques in trading systems, including a warning about attempting to extract meaningful …

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Deep Learning for Trading Part 1: Can it Work?

This is the first in a multi-part series where we explore and compare various deep learning trading tools and techniques for market forecasting using Keras and TensorFlow. In this post, we introduce Keras and discuss some of the major obstacles to using deep learning techniques in trading systems, including a warning about attempting to extract meaningful …

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From Potential to Proven: Why AI is Taking Off in the Finance World

This article is a departure from the quantitative research that usually appears on the Robot Wealth blog. Until recently, I was working as a machine learning consultant to financial services organizations and trading firms in Australia and the Asia Pacific region. A few months ago, I left that world behind to join an ex-client’s proprietary …

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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 out the entire curriculum here. Find out what Robot Wealth is all about here. If you’re interested in using artificial neural networks (ANNs) for algorithmic trading, but don’t know where to start, then this article …

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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 Yahoo’s unceremonious exit from the free financial data space. Regular readers would know that I use various tools in my algo trading stack, but the one I keep coming back to, particularly when I’m ready …

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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 with Google’s cloud infrastructure. Since then, I’ve been leaning on Google Cloud Platform (GCP) to run my trading algorithms (and much more) and it has quickly become an important tool in my workflow! In this …

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