Think like a trader
Don’t major in minor stuff
If you try to teach yourself quant trading from the internet or from scientific papers, you run the risk of
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Quant tradingThink like a traderTrading as a businessTrading strategies
Case Study: Lessons Learned from 9 Crypto Trading
In 2021, James, I, and a small team decided to set up a crypto trading venture. We faced several problems,
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Think like a trader
The Intuition of Log Returns
When you do anything with data, you should think about the intuition of each thing you do, and what it
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DataRTrading infrastructureA Beginner’s Guide to Using DuckDB with Stock Price Data in R
In this blog post, I will demonstrate how to work with stock price data using the DuckDB database management system
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Think like a traderTrading as a business
Finding Exploitable Edges as an Independent Trader
Independent traders don’t have the same resources, speed, or balance sheets as large institutions. But that doesn’t mean they can’t
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Quant tradingRThink like a traderTools of the tradeData Analysis and Edge Extraction for Traders
Towards the end of last year, we ran a couple of free Zoom webinars on: Here are the recordings: Basics
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RTools of the trade
More Intuitive Joins in dplyr 1.1.0 – how to do an asof join on trades and quotes data
dplyr 1.1.0 was a significant release that makes several common data operations more syntactically intuitive. The most significant changes relate
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DataExploring the finnhub.io API
The changing face of market data providers Over the last few years, a number of new market data providers have
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Quant tradingTrading as a businessTrading strategies
How to get serious about making money trading
In Australia, if you’re serious about getting the job done effectively and efficiently, you might say: “I’m not here to
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Quant tradingSteal ideas, not implementations
Imagine you’re a relatively small, independent trader trying to turn trading from a hobby into a serious business. If that’s
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Quant trading
Optimising the rsims package for fast backtesting in R
rsims is a new package for fast, quasi event-driven backtesting in R. You can find the source on GitHub, docs
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Quant trading
Exploring the rsims package for fast backtesting in R
rsims is a new package for fast, realistic (quasi event-driven) backtesting of trading strategies in R. Really?? Does the world
