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Stanley Druckenmiller achieved over 30% returns for three decades without a single down year. He often stated, “The best economist I know is the inside of the stock market. I’m not that smart. The market …
Stanley Druckenmiller achieved over 30% returns for three decades without a single down year. He often stated, “The best economist I know is the inside of the stock market. I’m not that smart. The market …
Importing custom data into Zipline can be tricky, especially for users new to Python and Pandas. I’m here to remedy that. In this guide, I’ll explain how to create, register and ingest a custom equity …
I thought it would be interesting to create a visualization showing the top 10 cryptocurrencies over time. The market is incredibly volatile, with new technology disruption occurring almost daily. You can see this by converting …
Stocks have outperformed t-bills, t-bonds, and gold over the 5, 10, 30, 40, and 50 years ending 2018. Due to the great recession, stocks only underperformed gold in the prior 20-year period. Period Ending 2018 …
Only one in five day traders is profitable. Algorithmic trading improves these odds through better strategy design, testing, and execution. In this post, I’m going to discuss what it took for me to become a …
Look-ahead bias occurs by using information not available or known in the analysis period for a study or simulation, leading to inaccurate results. An often-overlooked point regarding look-ahead bias is that it isn’t just about …
A time series is a sequence of moments-in-time observations. The sequence of data is either uniformly spaced at a specific frequency such as hourly or sporadically spaced in the case of a phone call log. …
Pandas was developed at hedge fund AQR by Wes McKinney to enable quick analysis of financial data. Pandas is an extension of NumPy that supports vectorized operations enabling fast manipulation of financial information. I’ll be using company …
Rapid increases in technology availability have put systematic and algorithmic trading within reach for the retail trader. Below you’ll find a curated list of trading platforms and frameworks, broker-dealers, data providers, and other helpful trading …
Backtrader is an open-source python framework for trading and backtesting. Backtrader allows you to focus on writing reusable trading strategies, indicators, and analyzers instead of having to spend time building infrastructure. I think of Backtrader as …