Seeking the cues in macro markets. What are the signals we can use to trade macro markets? Cuemacro is a company focused on understanding macro markets from a quantitative perspective, in particular currency markets. Our goal is understand how data can be used to deepen understanding of macro markets markets. We use both existing and innovative data sources to create systematic trading strategies and data indices. We build our analytics using Python. We offer several services for clients which include:
- Data Products / Creating exciting new datasets for clients to improve their own trading decisions and understand financial markets better
- Research Consulting / Writing bespoke quant research papers and developing bespoke models for clients
- Monetising Data / Helping data companies and corporate institutions monetise their datasets through research and marketing services
Why the name Cuemacro?
Cue is defined as “a thing said or done that serves as a signal to an actor or other performer to enter or to begin their speech or performance.” In a trading context, market participants seek to understand the cues to enter into a trade. We seek to find these signals. Given our focus on macro markets, it was natural to put the two ideas to name our company Cuemacro.
Founder of Cuemacro
Saeed Amen is the founder of Cuemacro. Over the past decade, Saeed Amen has developed systematic trading strategies at major investment banks including Lehman Brothers and Nomura. Independently, he is also a systematic FX trader, running a proprietary trading book trading liquid G10 FX, since 2013. He is also the author of Trading Thalesians: What the ancient world can teach us about trading today (Palgrave Macmillan). Through Cuemacro, he now consults and publishes research for clients in the area of systematic trading. His clients have included major quant funds and data companies such as RavenPack and TIM Group. He is also a co-founder of the Thalesians.
- "The more you code, the less you know" I wrote about how coding is a continual process of learning https://t.co/p0hzHc1Tau https://t.co/sNhoxOY8EJ,
- "Storing time series data" discussing a few ways to store it, interested to hear thoughts on this! https://t.co/vY5ao8Lx3p https://t.co/MMN7DdumwR,
- "Having source code for TCA is useful" the benefits of having source code so TCA can fit your execution style https://t.co/akJgDpQoXF https://t.co/f0UcGslrMV,
- "Software engineering is as important as data science" the engineering part of data science is really key! https://t.co/neiSEdyhdZ https://t.co/po2oHIsdbd,
- "Where to find free data for markets" a few sources I've found.. if you've got any sources you'd like to share let me know! https://t.co/aSPoKhCULn https://t.co/egSByHlnNt,