FXQuant trading
Where does FX sit in a Systematic Trading Portfolio?
You rarely meet a rich forex trader. I’ve met plenty of rich traders who trade quant factors or stat arb.
Quant trading
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Quant tradingSome Things Just Go Up (If You Wait Long Enough)
Here’s a chart of long-term asset performance…. The blue line shows returns from US stocks from 1900 to today.
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Quant tradingMy Thoughts on Quantopian’s Closing
I was very sad to learn that Quantopian is shutting down its community services. Quantopian’s efforts to bring quant finance
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Quant tradingTrading the US Election – Profiting from “Known Unknowns”
You’ve probably noticed that there’s a US election on the horizon. This is an event of known uncertainty: a “known unknown”
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Quant tradingBook Review: Positional Option Trading by Euan Sinclair
This is a review of Positional Option Trading by Euan Sinclair. Trading books set a low bar for the reviewer.
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PythonQuant tradingHow To Be a Quant Trader – Experiments with QuantConnect
This post presents an analysis of the SPY returns process using the QuantConnect research platform. QuantConnect is a strategy development
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PythonQuant tradingTrading infrastructureWhy We Use Apache Beam For Our Systematic Trading Data Pipeline
In the world of Big Data, there are lots of tools and technologies to choose from. Choosing the “right” one
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Quant tradingRWorking with Tidy Financial Data in tidyr
Holding data in a tidy format works wonders for one’s productivity. Here we will explore the tidyr package, which is
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BacktestingFXQuant tradingZorroExploiting The Non-Farm Payrolls Drift
Anyone that’s been around the markets knows that the monthly release of the United States Department of Labor’s Non-Farm Payrolls
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OptionsQuant tradingRWeekly Roundup 29 May – Crash Protection, Sloppy Regressions and Data Munging Skillz
Here’s a round-up of our new articles this week. They cover crash protection, sloppy, noisy regressions, and data-munging skills. Finding
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Quant tradingRTools of the tradeHow to Fill Gaps in Large Stock Data Universes Using tidyr and dplyr
When you’re working with large universes of stock data you’ll come across a lot of challenges: Stocks pay dividends and
