Cuemacro

@cuemacro

Tweets on a quant macro company by founder

London
Vrijeme pridruživanja: svibanj 2016.

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  1. Prikvačeni tweet
    20. lip 2016.
    Odgovor korisniku/ci

    Cuemacro is a company focused on understanding macro markets from a quantitative perspective, in particular currency markets.

    Poništi
  2. 1. velj

    "Different ways financial data is used" I talked about the differing requirements for data across teams in funds

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  3. 25. sij

    "Using images in trading" ideas & Python tools for structuring images & trading use cases

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  4. 18. sij

    "The music of the markets" explaining the bias-variance tradeoff, when modelling a trading strategy

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  5. 11. sij

    "First steps of building quant" steps discretionary investors can do, to begin using quant, starting with training their team

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  6. 4. sij

    "New Year 2020 quant resolution" some of my resolutions including teach more Python (& learning!)

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  7. 28. pro 2019.

    "Hundreds of quant papers from in 2019" I've collected together all the papers/libraries I've tweeted this year about financial markets, Python etc. in a single article

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  8. 21. pro 2019.

    "Putting quant into your market analysis" how to go about learning quant/Python & applying to how you look at the market

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  9. 14. pro 2019.

    "Lessons from books this year for startups" reviewing some of the books I've read this year (history & more!) & lessons they have startups

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  10. 8. pro 2019.

    "Python use cases for trading desks" a few ideas on what you can do with Python to create tools for traders (but are tricky with Excel)

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  11. 30. stu 2019.

    "The Importance of valuing your data" the first step to extract information from your internal data is to value it

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  12. 23. stu 2019.

    "Business models for fintech" exploring some of the models for fintech firms ranging from software as a service to open source

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  13. 16. stu 2019.

    "Deciding between code libraries" what type of criteria should you use, when faced with a choice between different libraries

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  14. 9. stu 2019.

    "The Berlin Wall and market information flows" how data and its interpretation are key in financial markets

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  15. 3. stu 2019.

    "The Beatles and nostalgic backtesting" I wrote about how everyone is a bit nostalgic.. even quants when it comes to backtesting trading strategies

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  16. 26. lis 2019.

    "Dancing to a simpler code" how trying to code something "simple" is often more complex, & how it can apply to trading strategies too

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  17. 19. lis 2019.

    "Teaching traders to code in Python" learning how to code and benefits of Python for traders

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  18. 12. lis 2019.

    "Alt data and tomato ketchup as a condiment" why you should test alt datasets with existing data/trading strategies you already use

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  19. 5. lis 2019.

    "AI and Data Science in Trading Conference London" my review of the recent - looking forward to the next edition in NYC!

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  20. 28. ruj 2019.

    "Value from your internal data" how combining your own internal data with external alt data/market data can improve your trading decisions

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  21. 21. ruj 2019.

    "Get FX TCA for a one off transparent cost" how tcapy lets us keep your trade data & do fully customisable TCA

    Poništi

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