soton quants welcome
TRANSCRIPT
Being a Soton Quant
- Regular meetups at Southampton Uni- Share ideas / strategies / tools- Contribute to sotonquants.com blog- Reading groups- Seminar groups- Tutorials- Implementing trading algorithms- Live algo testing- Personal development
Some definitions
Electronic trading: buyers and sellers place orders electronically and are matched automatically in an electronic order book
Algorithmic trading: using computer programs to make investment decisions and execute trades
Quantitative trading: using quantitative analysis and data analysis to make trading decisions
High frequency trading: algorithmic trading with many trades per second
What quant trading actually is…
- Programming- HPC / HFT / cloud- Order book and market tech
- Regulation- Understand stakeholders- Client requirements
- Probability theory- Statistics- Data science- Machine learning
- Market knowledge- Economic theory- Psychology
Technology
BusinessMathematics
Economics
The evolution of the quant trader
Old skillset
- Partial differential equations- Stochastic analysis- Numerical methods- High-level developers
New skillset
- Data scientist- Business person- Manipulating data- Extract info from large / complex datasets- Understand costs and tradeoffs- Statistics- A developer / programmer
Paul Bilokon (Deutsche Bank) - Global Derivatives 2016
The quant trader process
Get training data
Implementation
Economic theory
Paper trade
Build a model
Backtest
Live trade
Quant finance revolution?
- Free to use- Access to live market data- Research environment- Crowdsourced algorithms- Online IDE- Monthly competitions- Allocation- Open source tools
- Zipline- Pyfolio
Upcoming events
- G-Research trading competition- Amplitude Trading on campus- Bloomberg terminal training and BMC- Careers talk from lead engineer at start-up Cytora