Everything / Finance and crypto / Algorithmic trading
Algorithmic trading Steady
On TutorHero's Everything Index, Algorithmic trading is steady on GitHub: 0.41 of every 10,000 new public repos over the last three months (389 a month), +147% vs a year ago. The 12-month forecast says rising (+33%). By the end of 2032, lines in the same state ended between 0.01x and 2.5x of where they started (median 0.53x).
Since 2019, and the range to 2032
New repos per 10,000 (3-month average, log scale)12-month forecastRange to 2032: middle half and 90% of past similar lines
The range is not a forecast of this line: it is what GitHub lines in the same state (more than doubled its share of new repos in a year) did 1 to 5 years later, 2019 to 2026, applied to today's level. Past 5 years it is stretched, not measured. Checked out of time (learned before 2022, scored after), 71% of outcomes landed inside the 90% range, so read it as wide. Open it in the Everything chart.
Week by week
Wikipedia views a day, last 8 weeks
New public repos with the algorithmic-trading tag each week (Monday to Sunday, UTC). The outlined bars, last week included, are still filling in, as tags are often added days after a repo is created, so their height will grow a little. "Against the field" divides the change by what the typical tag did, so a wave that lifts every tag does not count. Hover for the numbers.
Built vs talked about
Each line is its own share (of all new GitHub repos, all Hacker News stories, all English Wikipedia views, all new stars on the repos we track), shown as a share of its own peak, so the timing and shape compare even though the units differ. Hover for the counts. Tap a name to hide or show a line.
What it means
- A steady field: Algorithmic trading moved +147% in a year, so skills here keep their value without a rush.
- Start by reading HKUDS/Vibe-Trading (+2.5k stars in 3 months) and Fincept-Corporation/FinceptTerminal (+1.4k stars in 3 months).
- People to follow: ✨Data Intelligence Lab@HKU✨, 阿布, Oleg Polakow.
- Builders and attention both rising: new repos +147%, attention +52% in a year.
- 6.90 new stars per new repo over 3 months, vs 8.50 for the typical trend: about average demand per project.
- The 12-month forecast for its share: +33% (Rising).
- Talk and building in step: Wikipedia -29% vs new repos +147% in a year, close to the typical trend.
- History: of past GitHub lines that more than doubled its share of new repos in a year, 61% had a smaller share 3 to 5 years later and 8% at least doubled.
- Attention: 0.87% of new stars on the repos we track, +52% in a year.
- Hacker News: 1 stories a month, -53% share in a year; Wikipedia 5.7k views a month, -29%.
- Not investment advice: this measures what people build on GitHub, not any company.
- Most-starred tools here lately: HKUDS/Vibe-Trading (vouched), Fincept-Corporation/FinceptTerminal.
- A settled field: favour tools with a long record.
Repos carrying it now
People building it
✨Data Intelligence Lab@HKU✨AI agents, RAG frameworks, and tutoring systems.Influence 85
阿布bbfamilyInfluence 39
Oleg Polakow@python, @datascience, @MachineLearning, @TradingInfluence 61
Ran AroussiI build software for people who build software • 50M+ installs/mo • 50K+ • CTO as a Service @automazeio • Resident AI @varops Influence 75
Gyan Prakash@flipkart | Ex-@zomato | AI & Data Science | Quant Finance | NSITInfluence 37
hello245mhello245mInfluence 21
Jeroen BoumaI turn financial theory into code. Quant and AI models in asset management, and open-source tools like the Finance Toolkit used by thousands.Influence 54
QuantiaAIQuantiaAIInfluence 2More in Finance and crypto
Questions
Is Algorithmic trading growing on GitHub?
Yes. Its share of all new public GitHub repos is +147% vs a year ago and -14% over the last three months (Sep 2026). Phase: Steady.
How many new Algorithmic trading repos are created each month?
About 389 new public repos a month carry the algorithmic-trading tag (three-month average to Sep 2026), or 0.41 of every 10,000 new repos.
What will Algorithmic trading look like in 2032?
Nobody knows, and we say how much. Of past GitHub lines that more than doubled its share of new repos in a year, the middle half had between 0.14x and 1.27x of their share 3 to 5 years later, and 61% ended smaller.
Is Algorithmic trading more talked about than built?
Talk and building in step. Over the year its share of Wikipedia views moved -29% while its share of new GitHub repos moved +147%. New repos grew faster than talk for most AI trends this year, so the label compares it with the typical trend: 1 times the talk per builder of the median trend.
Not investment advice. Measurements of what people build and star on GitHub, a statistical forecast, base rates and a model's reading of them. Nothing here is about any company's revenue, valuation or stock.