Quantitative Finance

Alibaba Cloud Infrastructure

Dec 4, 2024 · Artificial Intelligence

Implementation of a Cloud‑Native AI‑Powered Quantitative Research Platform Using Alibaba Cloud ACK

The article details how the Juqian intelligent investment research platform leverages Alibaba Cloud's ACK cloud‑native AI suite, Kubernetes, and various cloud services to build a high‑efficiency, scalable AI‑driven quantitative finance solution, improving resource utilization, reducing costs, and accelerating research workflows.

AIAI PlatformAck

0 likes · 5 min read

Implementation of a Cloud‑Native AI‑Powered Quantitative Research Platform Using Alibaba Cloud ACK

Model Perspective

Feb 12, 2023 · Artificial Intelligence

AI-Driven Adaptive Grid Model Beats Traditional Gold & Bitcoin Trading Strategies

This article reviews the award‑winning 2022 MCM/ICM C‑problem papers that develop and compare adaptive grid, ARIMA, LSTM, Prophet, and XGBoost‑based models for daily gold and Bitcoin trading, analyzing profitability, risk, transaction‑cost sensitivity, and providing evidence of superior strategy performance.

OptimizationQuantitative Financemachine learning

0 likes · 28 min read

AI-Driven Adaptive Grid Model Beats Traditional Gold & Bitcoin Trading Strategies

Model Perspective

Nov 30, 2022 · Fundamentals

Simulating Stock Prices with Monte Carlo and Brownian Motion in Python

This article explains Brownian motion and Monte Carlo methods, then demonstrates how to model stock price dynamics as a geometric Brownian motion using Python, providing full code for simulating returns, generating price paths, and visualizing multiple trial outcomes.

Brownian MotionPythonQuantitative Finance

0 likes · 9 min read

Simulating Stock Prices with Monte Carlo and Brownian Motion in Python

Python Programming Learning Circle

Dec 29, 2021 · Fundamentals

Comprehensive List of Python Libraries for Quantitative Finance

This article compiles a categorized collection of Python packages for quantitative finance, covering scientific computation, pricing, technical indicators, backtesting, risk analysis, data sources, Excel integration, and visualization, with brief descriptions and reference links for each tool.

BacktestingPythonQuantitative Finance

0 likes · 17 min read

Comprehensive List of Python Libraries for Quantitative Finance