Kyle Downey

Backtesting Serenity

Building a tick-by-tick backtester for Bitcoin

I have collected about half a year of trade price data from the Phemex futures exchange, but until now I have not had the means to leverage this data to systematically test strategy performance. With the addition of a tick-by-tick backtester to Serenity with the 0.4.0 release, it is now possible to write a Serenity trading strategy in 100 . . .

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September 20, 2020

Mr. Blue Sky

Cloud tick storage with Azure and Python

Previously I built a local tickstore (covered in the blog post "Building Behemoth") based on HDF5, pandas and RAID storage. While the RAID storage gives me a degree of confidence, depending on a single Linux server sitting on the floor next to my desk is not ideal. Furthermore, it would be even better if researchers didn't have . . .

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August 15, 2020

Introducing Pelican FIX

Starting Serenity's core FIX engine

After reviewing the available Python FIX implementations I decided to create my own, both as a learning exercise and to fill some functional gaps. In particular I wanted Python-friendly code generation from any FIX specification from 4.0 to 5.0SP2 with a rich metadata model so later on I can build tools like a FIX schema validator if I want . . .

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May 24, 2020

Serenity MVP

Creating a minimum viable trading engine

This weekend I finally got Serenity 0.2.0 up-and-running with an example trading strategy. The code is messy; the example strategy is brittle and likely dangerous to your financial health; it's missing unit tests all over the place; etc.. But it starts up and trades the Phemex testnet based on a hypothetical trading signal using live . . .

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May 03, 2020

Research-to-Go with Kubernetes

Revisiting Jupyter Lab with Kubernetes

In Research-to-Go with Docker we used Docker and Docker Compose to create a Serenity research environment. Unfortunately all good things must come to an end, and what's described in that previous article is currently not working because Jupyter Lab has moved on to the 2.x series, but the Git extension has not kept up; the Docker Compose . . .

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April 11, 2020

The Tau of Market Data

Applying Tau for real-time market data recording

In the last post on Serenity we looked at the Tau functional reactive programming library. In this post we will move beyond simple math processing with Tau and start connecting it to I/O, in particular the Websocket channels commonly used for distributing marketdata from cryptocurrency exchanges. To do this we'll need to make some big . . .

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April 07, 2020


Functional reactive programming for Python

For over a year I have been thinking about better programming models for functional reactive programming, or FRP. It's a natural paradigm for financial software, which often deals with processing rich streams of data, and so the foundation of Serenity will necessarily include it. The problem is API: while I agree with and admire many . . .

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March 28, 2020