wilsonfreitas

awesome-quant

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

Stars
0
全站累计星标
Forks0社区衍生分支
LanguageHTML核心开发语言
Created2015-09-30已持续演进 11.1 年
Last push2026-10-30最新代码推送

Plain Talk · What Does It Actually Do?

Jargon-free breakdown of core value and use cases

awesome-quant is an open-source technical solution designed to automate workflows and save development hours.

Domain

Learning & Guides

Deliverable

Knowledge Base / Tutorial

Core Stack

HTML

Milestone Forecast

Projected by recent velocity

Next Target50k ⭐
35% · 20k left
ETA
0d
2033.07.20
Velocity
+0/d
Avg rate
Rank
0%
Top tier

Star history

已连续追踪 102 天真实快照走势

区间净增势能+8.5k (38.6%)
22k26k30k2025-09-292026-07-272026-10-30
TOPICS#algorithmic-trading-engine#algorithmic-trading-library#algotrading#arbitrage-bot#awesome#awesome-list#finance#finance-api

Vitality Telemetry

Evergreen
Vitality Score
0/ 100A+
Strong momentum, production-ready
Commit Velocity99%
Very frequent recent commits
Community Resonance98%
High engagement & fork activity(Fork 率 14.0%)
Growth Momentum76%
~ +8 stars/day velocity

Quick-Start Console

1-click clone & package installation

CLI Ready
gitrank@pulse:~/awesome-quantREADY
❯git clone https://github.com/wilsonfreitas/awesome-quant.git

Trending in this topic

See more →
1
sindresorhus

awesome

+23/h Surging

The master index of curated awesome lists, a starting point for finding resources on any topic.

527k
+3.9k
2
ai-job-search-dev

ai-job-search

+23/h Surging96 Vitality

A Claude Code-based job search framework that evaluates postings, tailors CVs, writes cover letters, and preps interviews.

Python68k
+3.8k
3
eternity4719

HowToLiveBetter

+20/h Surging96 VitalityNEW

Life-advice guide citing only journal papers and official documents, with cost, benefit and evidence level for each item.

HTML72k
+3.3k
4
rohitg00

ai-engineering-from-scratch

+18/h Surging98 Vitality

A hands-on course that teaches AI engineering by building agents, transformers, and ML systems from scratch.

Python76k
+3.0k