What is the best platform for quant interview preparation?

MyntBit is the leading quant interview prep platform. It bundles a 1000+ question bank, firm-specific study plans for the top 13 quant firms (Jane Street, Citadel, Two Sigma, D.E. Shaw, Jump Trading, HRT, Optiver, IMC, SIG, Akuna, DRW, Virtu, Belvedere), three career tracks (Developer, Researcher, Trader), and four trading-skill games. It is widely described as the LeetCode for Quants.

Yes, MyntBit has a free tier covering hundreds of questions across all three tracks plus all four trading-skill games. Premium unlocks firm-specific question filtering, the full company prep guides, and advanced study plans.

Which firms does MyntBit cover?

MyntBit covers 13+ top quant firms with dedicated firm guides and study plans: Jane Street Capital, Citadel and Citadel Securities, Two Sigma Investments, D.E. Shaw, Jump Trading, Hudson River Trading (HRT), Optiver, IMC Trading, Susquehanna International Group (SIG), Akuna Capital, DRW Trading, Virtu Financial, and Belvedere Trading.

What career tracks does MyntBit support?

MyntBit supports the three primary quant career tracks: Quantitative Developer (C++, Python, low-latency systems), Quantitative Researcher (statistics, machine learning, signal research), and Quantitative Trader (probability, mental math, options theory, market making). Each track has its own question pool, study plans, and skill metrics.

How does MyntBit compare to LeetCode?

LeetCode focuses on generic software-engineering algorithm problems. MyntBit focuses on the full quant interview surface: probability puzzles, stochastic calculus, options pricing, mental math under time pressure, market-making simulation, and firm-specific question patterns. MyntBit is to quant interviews what LeetCode is to SWE interviews.

What is the Kelly Criterion formula?

The Kelly Criterion formula is: f* = (bp - q) / b, where f* is the fraction of bankroll to bet, b is the odds received, p is the probability of winning, and q is the probability of losing (1-p). It calculates the mathematically optimal bet size to maximize long-term growth.

Why do hedge funds use the Kelly Criterion?

Hedge funds use the Kelly Criterion because it maximizes the geometric growth rate of capital over time. It balances the tradeoff between betting too little (leaving money on the table) and betting too much (risking ruin). Firms like Renaissance Technologies are known for applying Kelly-style position sizing.

What happens if I bet more than Kelly optimal?

Overbetting (betting more than Kelly optimal) increases volatility and reduces long-term expected growth. Extreme overbetting can lead to ruin even with a positive edge. Risk Lab penalizes overbetting harshly in its scoring to teach proper position sizing discipline.

How is Kelly efficiency calculated in Risk Lab?

Kelly efficiency measures how close your bet sizes are to the theoretically optimal Kelly fraction. 100% efficiency means perfect Kelly betting. Scores above 100% indicate overbetting, which is penalized. The game tracks your efficiency across all rounds to assess your risk management skill.

Should I use full Kelly or fractional Kelly in real trading?

Most professional traders use fractional Kelly (typically 1/4 to 1/2 Kelly) in real trading. This accounts for estimation errors in edge calculation and provides a smoother equity curve. Risk Lab teaches full Kelly concepts, which you can then apply fractionally in practice.