Optimising MetaTrader for Algorithmic Trading

If you’ve ever delved into the world of retail foreign exchange trading, you’ll have come across the MetaTrader platform. Let’s be clear. The platform has its drawbacks. If you’ve traded “grown-up” markets, some of the features will leave you scratching your head. But one thing’s for sure – MetaTrader provides fast, convenient access to pretty …

Read more

Trading Lessons from Gamblers

Pick the Easy Games Like many sociopaths, Frank Wallace was a fan of the philosophy of Ayn Rand. He wrote a book called “Poker: A Guaranteed Income for Life”, started a cult based on Rand’s philosophy of objectivism, and got convicted of tax fraud.   “Poker: A Guaranteed Income for Life” is about getting edges in …

Read more

Momentum Is Dead! Long Live Momentum!

In our inaugural Algo Bootcamp, we teamed up with our super-active community of traders and developed a long-only, always-in-the-market strategy for harvesting risk premia. It holds a number of different ETFs, varying their relative weighting on a monthly basis. We’re happy with it. However, the perennial question remains: can we do better? As you might …

Read more

Simulating Variable FX Swaps in Zorro and Python

One of the ongoing research projects inside the Robot Wealth community involves an FX strategy with some multi-week hold periods. Such a strategy can be significantly impacted by the swap, or the cost of financing the position. These costs change over time, and we decided that for the sake of more accurate simulations, we would …

Read more

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 …

Read more

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 …

Read more

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 …

Read more

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 …

Read more

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 …

Read more