vivek-src/exchange-lab
github.comA full-stack exchange simulation with an in-memory order book, matching engine, WebSocket-based market data, and a trading UI, built to study high-frequency…
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DUCKQUANT / THE QUANT & AI DIRECTORY
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A full-stack exchange simulation with an in-memory order book, matching engine, WebSocket-based market data, and a trading UI, built to study high-frequency…
Open-source desktop application for real-time market microstructure analysis. Explore live Level 2 order books, trades, liquidity, and built-in studies. C# ·…
Tutorials of econometrics featuring Python programming. This is a crash course for reviewing the most important concepts and techniques of basic econometrics…
Market Making Strategy for Paradex Perpetuals Python · 47
Automated trading bot for Polymarket Bitcoin Up or Down 5-minute markets that runs on NautilusTrader, fuses multiple market microstructure signals, and gates…
J Burian - arXiv preprint arXiv:2404.04262, 2024 - arxiv.org. … 1 on Ethereum Research, unveiling its potential to revolutionize the Ethereum blockchain’s ……
Custom Python code for calculating the Probability of Profit (POP) for options trading strategies using Monte Carlo Simulations. The Monte Carlo Simulation…
This includes a notebook on how to implement Quantitative Strategies, specifically the Pairs Trading Algorithm. Jupyter Notebook · 212
Built a sentiment analysis model to predict the sentiment of a Financial News article. A comparative study of different optimizers used for training was…
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old. Jupyter Notebook · 2,505
Authors: He Wang, Wenyilin Xiao, Songqiao Han, Hailiang Huang. Stock price prediction is challenging due to market volatility and its sensitivity to real-time…
Options Pricing Library Python · 289
robcarver17/systematictradingexamples — Examples of code related to book www.systematictrading.org and blog qoppac.blogspot.com Python · ⭐ 483 · forks 0 ·…
Hands-On Machine Learning for Algorithmic Trading, published by Packt
open research questions — V Gramlich, D Jelito, J Sedlmeir - Electronic Markets, 2024 - Springer. ... definition of MEV (Section “Defining…
Implementation of "Trade the Event: Corporate Events Detection for News-Based Event-Driven Trading." Python · 125
microsoft/RD-Agent — Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core…
A machine learning app that analyzes the sentiment of financial analyst reports and detects potential bias in tone. It uses NLP techniques to classify…
China's central bank publishing monetary policy, credit and financial statistics.
China's foreign exchange regulator publishing FX reserves, flows and balance-of-payments data.
Hong Kong exchange's official listed-company announcement and disclosure repository.
Cloud market data APIs for equities, funds, options and currencies used by fintech platforms.
Researches for Natural Language Processing for Financial Domain.
Retrieve limit order book level data from coinbase pro and bitfinex -> record in timeseries database then implemented trend following strategies (market…
This project uses reinforcement learning on stock market and agent tries to learn trading. The goal is to check if the agent can learn…
This repository provides the code for a Reinforcement Learning trading agent with its trading environment that works with both simulated and historical market.
Shanghai J&J Certified Public Accountants Firm
cuDF - GPU DataFrame Library. No-code-change accelerator for pandas
Explore this resource at its source website for documentation and current information.
Explore this resource at its source website for documentation and current information.
Explore this resource at its source website for documentation and current information.
Explore this resource at its source website for documentation and current information.
Publication: Binary Neural Networks: A Survey. Published Mar 31, 2020.
Publication: A White Paper on Neural Network Quantization. Published Jun 15, 2021.
Publication: Full Stack Optimization of Transformer Inference: a Survey. Published Feb 27, 2023.