npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2026 – Pkg Stats / Ryan Hefner

kelly-stake

v4.1.0

Published

Kelly criterion position sizing and bankroll risk management.

Readme

kelly-stake

Kelly criterion position sizing and bankroll risk management for betting and trading.

  • Zero runtime dependencies — pure, deterministic math.
  • No install scripts — nothing runs on npm install.
  • TypeScript-first — ships type declarations.
  • Guard rails built in: fractional Kelly, bankroll-fraction caps, min/max stake clamps, and never a negative stake.

Install

npm install kelly-stake

Quick start

import { kellyStake, kellyStakeFromReturns } from "kelly-stake";

// Size a bet from a known edge (60% win chance, even money), half-Kelly:
const stake = kellyStake(
  { winProbability: 0.6, payoffRatio: 1 },
  { bankroll: 1000, fraction: 0.5, maxFraction: 0.2 }
);
// -> 100  (raw f*=0.2, half-Kelly=0.1, 10% of 1000)

// Or estimate the edge from realised per-trade returns and size directly:
const returns = [1.0, 1.0, -0.5, -0.5]; // +100%, +100%, -50%, -50%
const next = kellyStakeFromReturns(returns, { bankroll: 1000, fraction: 0.5 });

The formula

f* = p - (1 - p) / b
  • p — win probability, 0..1
  • b — net payoff ratio (units won per unit staked on a win)

A negative f* means no edge → stake 0. Full Kelly maximises long-run growth but is volatile and unforgiving of estimation error, so prefer fractional Kelly (fraction: 0.5 is common) with a hard maxFraction cap.

API

| Function | Purpose | |---|---| | kellyFraction(winProbability, payoffRatio) | Raw Kelly fraction f*, clamped >= 0. | | kellyFractionFromDecimalOdds(winProbability, decimalOdds) | Kelly from decimal odds (stake-inclusive payout). | | fractionalKelly(kelly, fraction) | Apply a fractional-Kelly multiplier. | | kellyStake(bet, options) | Concrete stake with fractional Kelly, caps and clamps. | | edgeFromReturns(returns) | Estimate { winProbability, payoffRatio, sampleSize } from realised returns. | | kellyStakeFromReturns(returns, options) | Estimate the edge, then size the stake. |

StakeOptions

| Option | Default | Meaning | |---|---|---| | bankroll | — | Total bankroll to size against (required). | | fraction | 1 | Fractional-Kelly multiplier, 0..1. | | maxFraction | 1 | Cap on the bankroll fraction per stake, 0..1. | | minStake | 0 | Floor for any non-zero stake. | | maxStake | Infinity | Ceiling for any stake. |

Disclaimer

The Kelly criterion assumes accurate estimates of win probability and payoff. Real edges are uncertain — under-betting (fractional Kelly) is far safer than over-betting. This library is provided for educational purposes and is not financial advice.

License

MIT