#Quantitative-analysis
Showing 53 of 53 repositories tagged #quantitative-analysis, ranked by stars
The backtesting engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.
Portfolio analytics for quants, written in Python
Transparent and Efficient Financial Analysis
ArcticDB is a high performance, serverless DataFrame database built for the Python Data Science ecosystem.
Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau
Framework for quantitative trading. Complete framework for development, backtesting, and deploying automated trading algorithms and trading bots.
A beginner-friendly yet powerful Python toolkit for financial analysis and automation — built to make modern investing accessible to everyone
An Open Source Portfolio Backtesting Engine for Everyone | 面向所有人的开源投资组合回测引擎
A curated list of awesome algorithmic trading frameworks, libraries, software and resources
GPU-accelerated Factors analysis library and Backtester
A collection of methods for solving Finance/Accounting equations, implemented in C#.
A dockerized Jupyter quant research environment.
Repository for YouTube tutorial on how to run MetaTrader5 + VNC + Python Flask API in a Docker Container on a Linux server.
本仓库为公众号FinHack炼金术《从零开始卷量化》系列文章示例代码，带你零基础入门量化交易！
A framework for financial systemic risk valuation and analysis.
Open source crypto trading platform to automate trading strategies.
This repository contains the customized trading algorithms that I have created using the Quantopian IDE.
Vanilla option pricing and visualisation using Black-Scholes model in pure Python
😲🤑Method for Investors and Traders to make Buying and Selling Decisions. 😄Fundamental hare Market Analysis is about using Real data to evaluate a Stock's Value📊 📈 📉
This project studies the intrinsic relationship between the stocks’ multiple factors and the investment value of the stocks listed in China Securities Index 800 Index through the machine method. The investment system pipeline has been implemented including data acquirement, data preprocessing, model tuning and selection based on the XGBoost boosted tree model.
A software to shortlist and find the best options spread available for a given stock and help it visualise using payoff graphs.
Framework for quantitative strategies development, backtesting and live execution.
extensive Python library for rock physics modelling
Open souce quantitative finance models and algorithms with tutorials
OHLC,news,economic event restfull api and WebSocket API for specifically designed for AI quantitative trading/training.Multiple Timeframes,Multiple-Symbols-Multiple-Timeframes
Esse repositório possui todos os matérias do curso de finanças quantitativas em Python do FEA.dev
基于 deltafq 的开源量化交易云平台，集成数据服务、策略管理与交易接入，支持模拟与实盘。
FxChartAI AI-Agent Trading EA is an open-source MQL5 Expert Advisor for MetaTrader 5 that trades using signals from FxChartAI. It employs trend confirmation, candle tail/trendline analysis, and dynamic order management. Free for personal & commercial use. Contributions welcome.
Beginner friendly guide into the world of investing, quant data analysis and algorithmic trading.
Quantitative analysis of Fixed Income Securities, including bond pricing models, yield curve fitting, PCA analysis, bond returns predictability and fixed income derivatives.
Crypto AI Analytics is a sophisticated desktop tool designed for data-driven crypto market analysis and intelligent trend detection.
Developing a long/short equity investment portfolio with Machine Learning predictions using data acquired from web-scraping. Flatiron Module 5 Project.
A framework for historical volatility estimation and analysis.
国内公募基金数据采集与AI辅助分析工具 — 全栈FastAPI+React，集成AKShare多源数据、风险评分引擎、回测验证、LLM可选分析
This repository consists several bots encoding various algorithmic trading strategies. The aim here is for absolute beginners in stock trading to get familiar with the various aspects of the market. All you need is basics of statistics and python to understand the underlying metrics and conditions utilized to make decisions. Contributions welcome.
Navigating Markets with Intelligent Exploration.
Stock Portfolio Analysis using Python/Pandas
A community-curated vault of openly available resources that replicates the rigorous syllabus of top MFE / Quant Finance programs
The goal of this project is to develop a statistical arbitrage strategy for cryptocurrencies using Python
A framework for estimating Basel IV capital requirements.
everything quantitative finance related
A simple tool-kit written in python for sourcing and displaying macroeconomic and financial data.
Built a pairs trading strategy in emerging markets using a rolling Kalman-filter beta and spread half-life, with z-score position sizing, and comprehensive back-testing with liquidity adjustments and transaction cost analysis for enhanced risk management
Case Studies in Finance: Stock Price Valuation using Black-Scholes using Brownian Motions, Investment Project comparing Stocks and Bonds, Determining Pension Fund's Premium. (Case Study Papers and Code)
Knowledgebase— a collection of information for quantitative finance, insurance, mathematics and AI—This serves as a sprawling notebook of books, papers, code links and Jupyter notebooks across quantitative finance, insurance, AI/ML, coding/IT, maths, probability and applied statistics, organised in subject-tree folders rather than a software repo.
Quantitative Analysis & Trading of the Electricity Market
A framework for detecting misreported returns in hedge funds.
A powerful machine learning and AI system for constructing sustainable strategies for financial trading.
Command Line Interface for ETrade accounts in python
An Excel integration of OpenGamma Strata.
Hybrid Wasserstein + HMM Market Regime Detection
Financial Machine Learning Repository
UNMAINTAINED | R-package providing access to fundamental data and valuation metrics for thousands of publicly traded companies worldwide.