DUCKQUANT / THE QUANT & AI DIRECTORY
4,091 resources, ranked by in-directory PageRank
running Python functions as pipeline jobs
Rescaled Range (R/S) analysis for estimating the Hurst exponent of a time series. Classifies series as mean-reverting, random walk, or trending. NumPy-only…
Memray is a memory profiler for Python
C++, Python - A data visualization and analytics component, especially well-suited for large and/or streaming datasets
A simple and efficient tool to parallelize Pandas operations on all available CPUs
C++ - Fast numerical array expression evaluator for Python, NumPy, PyTables, pandas, bcolz and more
NumPy aware dynamic Python compiler using LLVM
Network Analysis in Python
ndarray: an N-dimensional array with array views, multidimensional slicing, and efficient operations
Modin: Speed up your Pandas workflows by changing a single line of code
C - Redis is an in-memory database that persists on disk
bindings for the Python interpreter
A Python library for creating LaTeX files
Feature-rich Python client for Kalshi prediction markets with WebSocket streaming, automatic retries, rate limiting, pandas integration, Jupyter rendering, and…
Call stack profiler for Python. Shows you why your code is slow
Seamless operability between C++11 and Python
Sampling profiler for Python programs
CSV - Weekly aggregate statistics on sports prediction markets from public Polymarket, Kalshi and SX data: per-competition hit rates of screened public…
C++ - Redpanda is a streaming data platform for developers. Kafka API compatible. 10x faster. No ZooKeeper. No JVM
Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access,…
Cython, C, Python - TorchQuantum is a backtesting framework that integrates the structure of PyTorch and WorldQuant's Operator for efficient quantitative…
Streamlit — A faster way to build and share data apps
Apache Spark - A unified analytics engine for large-scale data processing
Statistical data visualization in Python
A high performance Python graph library implemented in Rust
Black-Scholes and CRR-binomial options pricing with Greek-attributed P&L: every trade decomposed into delta/gamma/theta/vega/vanna/volga via a second-order…
A modular Python library for comprehensive stock valuation using multiple methodologies (Graham, DCF, EPV, DDM, etc.) with real-time data fetching and news…
C++ - Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second
Append-only hash-commitment log for every sentiment bucket published by shingou.io. Each bucket's SHA-256 is committed at publish time, so anyone can verify the history…
Volume Bars — https://thefintechbuilder.com/market-data-engineering/bar-construction/volume-bars/
Tick Bars — https://thefintechbuilder.com/market-data-engineering/bar-construction/tick-bars/
Time Bars — https://thefintechbuilder.com/market-data-engineering/bar-construction/time-bars/
Stale-Quote Detector — https://thefintechbuilder.com/market-data-engineering/cleaning-and-validation/stale-quote-detector/
Hampel Bad-Tick Filter — https://thefintechbuilder.com/market-data-engineering/cleaning-and-validation/hampel-bad-tick-filter/
Tick-Run Bars — https://thefintechbuilder.com/market-data-engineering/bar-construction/tick-run-bars/
Volume-Imbalance Bars — https://thefintechbuilder.com/market-data-engineering/bar-construction/volume-imbalance-bars/
