BacktestingQuant tradingThink like a traderTrading as a business
Imagine you’ve tinkered for days or even weeks, perfecting a strategy idea that’s showing a whole lot of promise. You’ve meticulously tweaked a mouth-watering Sharpe Ratio out of your backtests….it even survived costs. YES! Systems go, let’s trade it. Imagine this new strategy enters a drawdown.…maybe a lengthy one….maybe from day one! How would you
Think like a traderTrading as a business
One of the biggest wins we have at Robot Wealth is in helping aspiring traders see the markets, and profitable trading, for what it really is. Rather than utilising a tried and tested approach that has generated real money in the markets, in practice, many aspiring traders gravitate to seemingly exciting approaches with the weakest
CointegrationQuant tradingRTime series modellingTools of the tradeTrading strategies
Some price series are mean reverting some of the time, but it is also possible to create portfolios which are specifically constructed to have mean-reverting properties. Series that can be combined to create stationary portfolios are called cointegrating, and there are a bunch of statistical tests for this property. We’ll return to these shortly. While
Backtesting
The Federal Reserve publishes the yield-to-maturity of US Treasury bonds. However, the actual returns earned by investors are not publicly available. Nor are they readily and intuitively discerned from historical yields, since “a bond’s return equals its yield only if its yield stays constant and if all coupons (cash payments) are reinvested at that same
Quant tradingZorro
Before you commit your precious time to read this post on Shannon Entropy, I need to warn you that this is one of those posts that market nerds like myself will get a kick out of, but which probably won’t add much of practical value to your trading. The purpose of this post is to
PythonQuant tradingRTools of the trade
I’m a bit late to the party with this one, but I was recently introduced to the feather format for working with tabular data. And let me tell you, as far as reading and writing data goes, it’s fast. Really fast. Not only has it provided a decent productivity boost, but the motivation for its
Quant tradingTools of the tradeTrading infrastructure
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
BacktestingQuant tradingThink like a trader
In an ideal trading universe (free from backtesting bias), we’d all have a big golden “causation magnifying glass”. Through the lens of this fictional tool, you’d zoom in and understand the fleeting, enigmatic nature of the financial markets, stripping bare all its causes and effects. Knowing exactly what causes exploitable inefficiencies would make predicting market
BacktestingQuant tradingRThink like a trader
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
Quant tradingThink like a traderTrading strategies
Investing: the easiest game in town? Trading and investing doesn’t have to be complicated. Check out this chart: The blue line shows returns from US Stocks from 1900 to today. That’s a 48,000x increase in nominal value. The yellow line shows returns from US Bonds from 1900 to today. That’s a 300x increase in nominal
Quant tradingThink like a trader
This is Part 2 in our Practical Statistics for Algo Traders blog series—don’t forget to check out Part 1 if you haven’t already. Even if you’ve never heard of it, the Law of Large Numbers is something that you understand intuitively, and probably employ in one form or another on an almost daily basis. But
Quant tradingRThink like a trader
This is the first in a two-part series. Be sure to read part 2 – Practical Statistics for Algo Traders: The Law of Large Numbers How do you feel when you see the word “statistics”? Maybe you feel that it’s something you should be really good at but aren’t. Maybe the word gives you a
Quant trading
Quant trading
Quant trading
Think like a trader
Think like a trader