Footer

Your go-to destination for discovering trending open-source projects and uncovering the insights that matter

Legal

  • Terms and conditions
  • Privacy policy

More

  • Pricing
  • Advertise
  • onedump
  • gosnakego
  • Contact us

Social

  • X (Twitter)
  • GitHub
Trendshift owl
What they build speaks louder than words
© 2026 Trendshift, created by Julian Li with ❤️
SignalAdvertise
Trendshift
SignalAdvertise
Sign in
Trendshift owl

Discover trends that matter

SignalAdvertise
DailyWeeklyMonthlyYearly
Live mentionsTopics
RepositoriesDevelopers
InsightsStats

Bifrost
Bifrost

mattlorig/intro-financial-derivatives

Open-source LaTeX lecture notes on financial derivatives (binomial model, Black–Scholes, Greeks, stochastic volatility), with exercises and solutions. CC BY-SA 4.0.

#Learning resources
Visit GitHub
TeX
25
7
1 contributors
Custom license
FeaturedAdvertise to 180K+ monthly visitors
Bifrost

Fastest Enterprise AI Gateway for Routing, Governing, and Securing all your AI Traffic

Momentum

How fast mattlorig/intro-financial-derivatives is gaining stars, and where it lands on Trendshift and GitHub Trending

Activity and trending

Stars, forks and merged pull requests each day or month, lined up with the repository's rank on Trendshift Trending

Nov 2 – Nov 6, 2026

Stars +25 in 5 days

01020
19

Forks +7 in 5 days

024
4

Merged PRs 0 in 5 days

01

Trendshift Trendingwhere the repository ranked each day it made the top 25

Not in the Trendshift top 25 in this period

Nov 2Nov 3Nov 4Nov 5Nov 6
The left and right arrow keys step from day to day; Home and End go to the first and the last

Stars, forks, merged pull requests and Trendshift Trending rank, by day
DayStars gainedForks gainedMerged PRs
Mon, Nov 2, 2026+0+00
Tue, Nov 3, 2026+1+00
Wed, Nov 4, 2026+19+40
Thu, Nov 5, 2026+5+30
Fri, Nov 6, 2026+0+00
Total+25+70
  • 1#1 on the list
  • 7Rank that day
  • Not trending

Social mentions

Recent discussions about this repository across the web
  1. Nov 51 post
    • I've released my graduate lecture notes on financial derivatives as a free, open-source textbook: 232 pages, exercises with full solutions and Python code. PDF:

      Read full on X, posted by @mjlorig

      @mjlorig · x.com

  2. Nov 31 post
    • "Each chapter ends with exercises, and complete solutions, including Python code for the computational exercises, are provided in an appendix."

      Read full on X, posted by @DynamicsSIAM

      @DynamicsSIAM · x.com