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...and this is a great setup.

On the laptop you need: - low weight so you can easily take it with you to work elsewhere - excellent screen/GPU - multiple large connected screens - plenty of memory - great keyboard/pointer device

Also: great chair

Frankly, what would be really great is a Mac Vision Pro fully customised as a workstation.


We will be backtesting and deploying an algorithmic trading strategy in a live environment. We'll see how it performs and discuss the steps one can take to improve its performance.

Due to the limited duration of the event, the strategy showcased will use basic ideas in mathematics and technical analysis. We'll be using the Python libraries scipy and talib.

This workshop will be the first part of a larger series, and should appeal to anyone who has an interest in developing automated trading strategies. It would be helpful if you have programming experience, otherwise some aspects of the workshop will be harder to follow.


http://graylog2.org/ takes me to graylog.org whose pricing is not free and not cheap.

Your company?

Anyway - not a "competitor" to the genuinely free and open-source Swatchdog.


You may want to look a bit deeper than pricing page. And no, it's not my company.

Not sure what "genuinely free" means.


Slack is convenient just because we use it for some other purposes.

Someone else pointed out that Telegram is also a good idea - that's very easy to do. I've set up Telegram alerts for other purposes.


Rate limits are present in chat apps to prevent the service from being abused. Notification tools don't have that.


Join us for a webinar with Portofino Technologies, where we will be conducting a live Q&A session on how to secure a job offer at a top High Frequency Trading firm.


Can it handle in-coming websockets (I want to do similar things to Grafana with it - so a continuously updating spreadsheet)


How do HFT developers actually achieve single-digit microsecond latency?

Why would you want to bypass the kernel?

Can C++ model semantic categories as elegantly as Haskell?

Can you actually get a job doing this stuff?

We'll cover all this stuff next Tuesday 6pm UK time - that's 1pm US East.

So bring your dinner (or lunch) and come ready with questions for

Antony Peacock: senior developer in low latency trading and technical expert on the ISO C++ committee

Rainer Grimm: Renowned C++ and Python trainer, author and mentor at Modernes C++[1]

Richard Hickling: Trading and risk technology expert and Co-Founder at ProfitView[2]

[1]: https://www.modernescpp.com/ [2]: https://profitview.net/


Github's Rest API [1] is actually quite complex - and has undocumented hurdles. E.g. when there's more than 40K stars the API caps it there - unless you use the GraphQL API... [2]

There is a wealth of info available through the API.

I used it to work out preferred projects for quants and algotraders [3]. Strangely this work got picked up by a recruitment news site [4] because it revealed surprising programming language usage.

There's a lot more meat on the Github bones. Stay tuned.

[1] https://docs.github.com/en/rest [2] https://docs.github.com/en/graphql [3] https://profitview.net/blog/open-source-trading-projects [4] https://www.efinancialcareers.com/news/2022/07/coding-langua...


Python and C++ are relatively easily mixed in fact.

Check out pybind11: https://pybind11.readthedocs.io/en/stable/


Interesting. Unusual because I often see people using numpy or boost to get access to fast data types.

I'll have to remember to give this a try.


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