R
In this post, we’re going to show how a quant trader can manipulate stock price data using the dplyr R package. Getting set up and loading data Load the dplyr package via the tidyverse package. if (!require('tidyverse')) install.packages('tidyverse') library(tidyverse) First, load some price data. energystockprices.RDS contains a data frame of daily price observations for 3
FactorsOptionsQuant tradingR
In this post, we are going to construct snapshots of historic S&P 500 index constituents, from freely available data on the internet. Why? Well, one of the biggest challenges in looking for opportunities amongst a broad universe of stocks is choosing what stock “universe” to look at. One approach to dealing with this is to
FactorsOptionsQuant tradingR
If you want to make money trading, you’re going to need a way to identify when an asset is likely to be cheap and when it is likely to be expensive. You want to be a net buyer of the cheap stuff and a net seller of the expensive stuff. Thanks, Capitain Obvious. You’re welcome.
OptionsQuant tradingR
There are 2 good reasons to buy put options: because you think they are cheap because you want downside protection. In the latter case, you are looking to use the skewed payoff profile of the put option to protect a portfolio against large downside moves without capping your upside too much. The first requires a
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We’ve been working on visualisation tools to make option pricing models intuitive to the non-mathematician. Fundamental to such an exercise is a way to model the random nature of asset price processes. The Geometric Brownian Motion (GBM) model is a ubiquitous way to do this. We can represent the price of an asset at time as
Cointegrationk-means clusteringRTrading strategies
This post summarises the key lessons of the academic literature that has been published on pairs trading. The key themes are highlighted at the end of the page. Pair Trading Literature Review Gatev, Goetzmann, Rouwenhorst – “Pairs Trading: Performance of a Relative Value Arbitrage Strategy” https://papers.ssrn.com/sol3/papers.cfm?abstract_id=141615 This is the first meaningful academic paper on pair
RTrading strategies
One of the things I’ve noticed from staring at the screen all day for the last few months is that most of the large negative returns in US stock indexes have come overnight. What do you mean by “overnight”? The core stock trading session for US stocks is between 9:30 am and 4 pm Eastern
RTrading strategies
In the eye of the recent storm, with VIX up over 50, many traders were looking to “short the VIX” using products like TVIX. “Surely it’s going to coming back down?” Well yeah, it will, eventually, but that doesn’t mean that you can profitably short VIX products. First, some basics… What is VIX? VIX is
Think like a trader
Options are non-linear financial products that allow you to do useful things that you can’t easily do with other financial instruments. Let me give a specific illustration of options being useful… The chart below shows the monthly cumulative % performance of our RW systematic trading portfolio since we started trading it in October 2018. The
Quant tradingThink like a trader
If you don’t bring a humble attitude to the markets, the markets will quickly humble you. Being humble is fundamental to everything we do at Robot Wealth: in our own trading, and in collaborative research in our Bootcamps. The more we trade, the more we are humbled by the markets. The more we are humbled
Quant tradingThink like a traderTrading books
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
Think like a trader
Think like a trader
Think like a trader
CryptoData analysisThink like a trader
Think like a trader