diff --git a/index.html b/index.html index 0915205..1096e79 100644 --- a/index.html +++ b/index.html @@ -171,6 +171,7 @@ ul.task-list li input[type="checkbox"] {
  • CSharp
  • Rust
  • Reproducing Works, Training & Books
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  • Commercial & Proprietary Services
  • Related Lists
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    Numerical Libraries & Data Structures

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  • ffn - A financial function library for Python.
  • pynance - Lightweight Python library for assembling and analyzing financial data.
  • tia - Toolkit for integration and analysis.
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  • hasura/base-python-dash - Hasura quick start to deploy Dash framework. Written on top of Flask, Plotly.js, and React.js, Dash is ideal for building data visualization apps with highly custom user interfaces in pure Python.
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  • hasura/base-python-bokeh - Hasura quick start to visualize data with bokeh library.
  • pysabr - SABR model Python implementation.
  • FinancePy - A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.
  • gs-quant - Python toolkit for quantitative finance
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  • pybacktest - Vectorized backtesting framework in Python / pandas, designed to make your backtesting easier.
  • pyalgotrade - Python Algorithmic Trading Library.
  • basana - A Python async and event driven framework for algorithmic trading, with a focus on crypto currencies.
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  • tradingWithPython - A collection of functions and classes for Quantitative trading.
  • ta - Technical Analysis Library using Pandas (Python)
  • algobroker - This is an execution engine for algo trading.
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  • pysentosa - Python API for sentosa trading system.
  • finmarketpy - Python library for backtesting trading strategies and analyzing financial markets.
  • binary-martingale - Computer program to automatically trade binary options martingale style.
  • fooltrader - the project using big-data technology to provide an uniform way to analyze the whole market.
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  • rust_bt - A high performance, low-latency backtesting engine for testing quantitative trading strategies on historical and live data in Rust.
  • Gunbot Quant - Toolkit for quantitative trading analysis. It integrates an advanced market screener, a multi-strategy, multi-asset backtesting engine. Use with built-in GUI or through CLI.
  • StrateQueue - An open‑source, broker‑agnostic Python library that lets you seamlessly deploy strategies from any major backtesting engine to live (or paper) trading with zero code changes and built‑in safety controls.
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  • Chartscout - Real-time cryptocurrency chart pattern detection with automated alerts across multiple exchanges
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  • DayTradingBench - Live autonomous benchmark that evaluates LLM trading performance on DAX and Nasdaq indices using identical strategies and real-time market data. API access available.
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  • CoinTester - No-code crypto backtesting platform with 100+ indicators, AI sentiment signals, and 5+ years of historical data across 1,000+ trading pairs.
  • PythonTradingFramework Github last commit (branch) - Python algorithmic trading bot framework for Kubernetes: backtesting, hyperparameter optimization, 150+ technical analysis indicators (RSI, MACD, Bollinger Bands, ADX), portfolio management, PostgreSQL integration, Helm deployment, CronJob scheduling. Minimal overhead, production-ready, Yahoo Finance data.
  • QTradeX-AI-Agents - Example strategies for the QTradeX platfrom.
  • QTradeX-Algo-Trading-SDK - AI-powered SDK featuring algorithmic trading, backtesting, deployment on 100+ exchanges, and multiple optimization engines.
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  • empyrical - Common financial risk and performance metrics.
  • fecon235 - Computational tools for financial economics include: Gaussian Mixture model of leptokurtotic risk, adaptive Boltzmann portfolios.
  • finance - Financial Risk Calculations. Optimized for ease of use through class construction and operator overload.
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  • qfrm - Quantitative Financial Risk Management: awesome OOP tools for measuring, managing and visualizing risk of financial instruments and portfolios.
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  • qfrm - Quantitative Financial Risk Management: awesome OOP tools for measuring, managing and visualizing risk of financial instruments and portfolios. (Last updated: 2015-12-12)
  • visualize-wealth - Portfolio construction and quantitative analysis.
  • VisualPortfolio - This tool is used to visualize the performance of a portfolio.
  • universal-portfolios - Collection of algorithms for online portfolio selection.
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    Time Series

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