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JavaScript is everywhere, but rarely used by financial analysts. This book shows how you can efficiently and elegantly use it for everyday tasks


Algorithmically finding and collating the hottest finance related stories of the day


Irreverant thoughts on numerically flavoured finance and its interplay with the world


Use principal component analysis to visualise financial time series dynamics. Detect momentum, mean reversion, skew patterns or show when markets are efficient


An opinionated take on building and testing trading strategies until they're bulletproof


Generate risk compliance reporting for IFRS7 accounting requirements


Proven and reliable value at risk generation


Understand portfolio weaknesses during stressful market events, by breaking down complex portfolios into a series of two dimensional 'maps'


The fast food of financial derivative modelling and valuation. Complex mathematical modelling wrapped in a simple API which can be called by anything from spreadsheets to servers; Python to JavaScript


iDivs

Academics have long identified dividend yields as the leading driver of asset returns. Using simple but robust calculations we can calculate current market forecasts of dividend yields