DUCKQUANT / THE QUANT & AI DIRECTORY
1,650 resources, ranked by in-directory PageRank
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Providing confidence in your trading
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Master quantitative finance through 60+ interactive courses. Learn Python for finance, derivatives pricing, portfolio theory, risk management, and the mathematics behind it all.
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Quantitative Research, Analysis and Trading
On algorithmic trading
Trading, QuantStrat, R, and more.
Original quantitative market research for active traders since 2008. Statistical studies on FOMC, VIX, seasonal patterns, breadth, and quantifiable edges.
Strategy & Software Development * Quantitative / automated trading strategy development * Back-testing & statistical analysis * Strategy types: mean-reversion, momentum, trend-following, rotational, etc.…
Telling Stories with Data
OSQ = Quants ^ OpenSource
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You want a life where no one will have the right to tell you what to do, how to do it, and when to…
This is an institution oriented commercial Python financial data Toolkit from
pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming…
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Python framework for TradingView's Lightweight Charts JavaScript library.
Open-source Solidity and Vyper static analysis framework used to find smart-contract vulnerabilities.
Explore Wiley's trusted research, AI guidance, and expert insights to accelerate discoveries, empower R&D, and advance knowledge worldwide.
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Explore this resource at its source website for documentation and current information.
Explore this resource at its source website for documentation and current information.
Build the skills your teams need. Give them the O
Explore Wiley's trusted research, AI guidance, and expert insights to accelerate discoveries, empower R&D, and advance knowledge worldwide.
PostgreSQL extension that distributes queries and data across many nodes.
Distributed SQL database for real-time analytics on time-series and industrial data.
Horizontally scalable, highly available multi-tenant Prometheus-compatible metrics backend.
Set of components providing highly available long-term storage for Prometheus metrics.
Graphite stack with the Whisper file format for storing time-series metrics.
Storage engine for fast analytics on rapidly changing data, often paired with Impala.
Note that the system won't start trading until the next day, unless you manually launch the processes that would ordinarily have been started by…
It is worth running the examples in the to make sure your IB connection is working, that you have the right gateway settings, and…
I use as my interface to the IB API. This library is a required dependency, and is an actively maintained fork of the archived…
To remain organised it's good practice to save any work into a directory like pysystemtrade/private/thissystemname/ (you'll need to create the directory…
Join a leading quantitative finance research community. Use the WorldQuant BRAIN quantitative research and simulation platform to build trading alphas and quantitative models.
