DUCKQUANT / THE QUANT & AI DIRECTORY
1,650 resources, ranked by in-directory PageRank
Digital insurance built on social impact – for your stuff, home, family, pet, and car
A bank account you can brag about
Build credit. Build savings. Build dreams
Making homeownership achievable
Make your money go further with Plum
Petal - Responsible credit for the modern world.
Trolley is the payouts platform for the internet economy
The API for your bank account
The Banking as a Service team helping people & companies launch financial products - accounts, cards, credit, lending, payments, and more
We enable companies to cultivate financial security and freedom in their workforce, starting with incentivized savings
Build credit, bank smarter, and grow your money with Step. No hidden fees, no minimums. Join 7M+ users taking control of their finances. Start…
The Unicorns of Payments & Business Growth Women Led
Cloud-based point-of-sale and payments platform for restaurants and small businesses, bundling payment processing with marketing, loyalty…
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Peach helps lenders quickly launch and confidently scale innovative credit products. We're the only lending platform built on an Adaptive Core™.
Build relationships that go deeper than money
A framework for machine-learning bots
Kalshi crypto 15m trading bot: no using ai, just using own strategy Kalshi trading bot Kalshi trading bot Kalshi trading bot Kalshi trading bot…
Open-source Chinese quantitative trading framework and resource collection for A-share data research.
C++, Cython, Cuda - CuPy is an open-source array library for GPU-accelerated computing with Python. 100x Boost for some operations
async framework for Rithmic Protocol Buffer API
Compiler Accelerated DataFrame Library for Python with fully-compatible pandas API
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SEC Form 4 insider buying and selling alert platform with watchlists, searchable filings, and Telegram notifications for public insider activity.
White papers, commentary and analysis by RavenPack data science team. Latest research on sentiment and ESG data to capture alpha and mitigate risk.
Chinese toolkit that downloads classic multi-factor model data for A-share factor research.
Closes a bar once a target share volume has traded. Sampling by volume rather than by clock gives series with far more stable statistical…
Closes a bar every N trades rather than every N seconds. Bars then arrive at the rate the market is transacting, so quiet periods…
Groups a trade tape into fixed-duration bars. This is the sampling scheme every chart you have seen uses, and it is a *choice*: it…
Build trustworthy price, quote, trade, and reference histories. Representative subjects: Tick cleaning, bar aggregation, timestamp alignment, exchange calendars, outlier detection, bad-tick correction.
The quantitative language, statistical judgment, and implementation discipline every later domain assumes. Representative subjects: Mathematical notation, rates and returns, data types and measurement, descriptive…
675 provider-agnostic, zero-dependency TypeScript implementations of the algorithms behind market data, statistical and financial-mathematics foundations, technical indicators, chart patterns, corporate actions, index construction, market…
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Reconciles a stream of new, corrected and cancelled trade messages into one authoritative set.
Separates the several distinct ways a quote can be stale: old at the source, delayed in transport, unchanged for too long, or arriving after…
Flags points that sit too far from a rolling median, measured in robust deviations rather than standard deviations — so one fat-finger print cannot…
