Portfolio analytics for quants, written in Python
Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.
An Open Source Portfolio Backtesting Engine for Everyone | 面向所有人的开源投资组合回测引擎
GPU-accelerated Factors analysis library and Backtester
Framework for developing, backtesting, and deploying automated trading algorithms and trading bots.
Open source crypto trading platform to automate trading strategies.
Vanilla option # and visualisation using Black-Scholes model in pure Python
A software to shortlist and find the best options spread available for a given stock and help it visualise using payoff graphs.
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 boos…
Repository for YouTube tutorial on how to run MetaTrader5 + VNC + Python Flask API in a Docker Container on a Linux server.
extensive Python library for rock physics modelling
Beginner friendly guide into the world of investing, quant data analysis and algorithmic trading.
This repository contains the official implementation for the AAAI25 paper "From Words to Worth: Newborn Article Impact Prediction with LLM".
Command Line Interface for ETrade accounts in python
ImageDataExtractor 2.0 - a Python library for electron microscopy image quantification.
The goal of this project is to develop a statistical arbitrage strategy for cryptocurrencies using Python
In this repository, a buy-and-hold investment is studied using Python and a Monte Carlo approach.
Q-finance approaches..
Protein Cluster Quant is a Java software for the analysis of complex proteomics samples (quantitative or not). It helps to reduce the redundancy of the peptide-to-protein relationship and to visualize the results in a bipartite network (Cytoscape).
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