Intermediate
Practice Drills: Calculating Position Sizes Using the Kelly Criterion
A hands-on drill course for quant analyst aspirants, prop trading applicants, and traders systematizing their approach. You already know what the Kelly Criterion is. Here you calculate it, over and over, on realistic NSE trades: extracting win rate and payoff ratio from a trade log, converting a Kelly fraction into shares and F&O lots, running continuous Kelly from mean and volatility, shrinking an overconfident edge, sizing defined-risk Nifty spreads and margined futures, and sizing correlated positions together. Every drill is worked by hand first, with a Python sizing sheet as the capstone.
Kelly CriterionPosition SizingFractional KellyF&O Position SizingRisk ManagementPython for Quant Finance
MODULES
4
DURATION
~3 hrs
TRACK
Quantitative Finance
What You'll Master
How to extract win rate, average win, average loss, and payoff ratio from a real trade log without fooling yourself
How to compute the discrete Kelly fraction for any trade with a defined stop and target, and sanity-check the answer
How to convert a Kelly percentage into a whole number of NSE shares or F&O lots, respecting lot sizes and rounding rules
How to run continuous Kelly from mean excess return and volatility, and see why it often suggests leverage
How to choose between full, half, and quarter Kelly by quantifying the growth you give up and the drawdown you avoid
How to shrink an estimated edge for sample size before sizing, so estimation error does not become overbetting
How to size defined-risk Nifty option spreads, margined index futures, and two correlated positions together
How to build a reusable Kelly position-sizing sheet in Python
Access Level
LEARNER
Everything included
Full Text Playbooks
Actionable Exercises
Mobile Reading Mode
Lifetime Updates