Quant Trading Project Walkthrough Guide
Quant trading project walkthrough guide for hypotheses, market mechanics, risk, backtesting, evaluation, limitations, and communication.
Candidates with trading simulations, backtests, or game projects.
Start with the trading hypothesis
A trading project walkthrough should say what behavior you expected, why it might exist, and what decision the strategy or simulation was meant to support.
Explain market mechanics
Mention the instruments, rules, costs, liquidity, inventory, or timing assumptions that matter. A trading result without mechanics is hard to evaluate.
Concrete example
For a market-making simulation, explain quote logic, inventory limits, fill assumptions, PnL decomposition, and how you measured risk.
Discuss validation and limits
Backtests and simulations can be fragile. Discuss leakage, survivorship, transaction costs, sample selection, and how results changed across scenarios.
Common mistakes
Candidates often focus on profit and ignore risk. Strong trading project answers include drawdown, turnover, costs, and why the result might fail live.
Practice the pattern
Use the LeetQuidity curriculum and calibration to turn this topic into a focused practice plan.