Do not use black-box systems without lineage or versioning. Also, never run research and production risk reporting together without separation and proper controls in place.
Related Quantitative Questions And Answers
- What is quantitative development (quant dev)?
- Quant dev vs quant researcher: what’s the difference?
- What types of projects need quant development the most?
- What is the best combination of technologies for quant research?
- What is the best setup for backtesting and strategy validation?
- What is the best tech stack for trading systems?
- What is the best setup for a quant data platform?
- What tech stack to avoid when starting out in quant development?
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- Python vs Java for production trading: which is better?
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- How to create reliable and repeatable quant research?
- What’s a backtest trap and how to prevent it?
- What tools help avoid common data quality problems in quant?
- How should a quant team design a data pipeline from day one?
- What is a solid basic architecture for a small quant team?
- What setup works best for risk and reporting in quant?
- How to choose the right technical stack for low-latency vs long-term trading?
- Why is testing important in quant system development?
- How to monitor live trading systems in quant?
- What security practices matter most in quant development?
- How to organise quant development teams?
- What does “quant dev” compatibility mean in practice?
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