- What is quantitative trading?The pipeline from data to live risk, the strategy families, and who runs each stage.
- HFT vs market making vs prop vs systematicFour terms used interchangeably that describe genuinely different businesses.
- Sharpe and Sortino ratioFormulas, a worked example, limitations, and the questions quant interviewers ask.
- What is high-frequency trading?How HFT works, common strategies, and how it operates in Indian markets.
- Algorithmic trading in IndiaStrategy types, participants, SEBI's framework, the stack and the teams.
- C++ and Python in HFTWhich language is used where in the stack, why, and what to learn for which role.
- The economics of HFT hiringWhat a vacancy and a mis-hire really cost, and where hiring budget earns its return.
- Agentic AI for tradingWhere AI agents genuinely fit in trading, and what it means for talent.
- Agentic AI for HFTWhy the hot path stays deterministic and where agents add value in HFT firms.
- Multi-agent trading systemsPipeline design, coordination risks and engineering implications.
- FinTech systemsPayment rails, ledgers and reconciliation explained, then answered: who builds this?
- Market microstructureHow prices form, and the concepts every quant and trading role is tested on.
- The limit order bookMatching, queueing, and how firms build order books in software.
- Order book imbalance and order flowThe most used short-horizon signal, and where it breaks down.
- Queue position and price-time priorityWhy position often matters more than prediction for passive strategies.
- Market impact and transaction cost analysisWhy costs and capacity usually decide profitability.
- HFT trading system architectureThe end-to-end stack, stage by stage, with latency budgets.
- Market data and feed handlersHow exchange data reaches a strategy, and what breaks along the way.
- Exchange connectivity and protocolsOrder entry, sessions, certification and co-location.
- Pre-trade risk and trading controlsInline checks, limits, kill switches and throttles, and who owns them.
- Low-latency engineeringLatency budgets, tail latency and the techniques firms actually use.
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Core quant concepts explained the way interviewers and desks actually use them.